[
 {
  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 0,
  "ok": false,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 0,
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  "answer": null,
  "citations": []
 },
 {
  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [
   "agentic readiness"
  ],
  "cited_site": false,
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  "n_cites": 16,
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  "answer": "Yes \u2014 CiteRank appears to offer a **remote MCP server** at `https://citerankscore.com/api/mcp-server`, and it is described as exposing an \u201caudit suite\u201d for AI visibility work.[1][2][3]\n\nWith that server, an agent can do things like:\n\n- **Run AI visibility audits** on a URL, including schema analysis, AI citation score, E-E-A-T signals, agentic readiness, and prioritized issues.[1]\n- **Check brand citations** in AI-generated answers such as Google AI Overviews and Gemini, with outputs like citation rate, share of voice, top cited queries, and competitor analysis.[1]\n- **Generate JSON-LD schema markup** from page content for a URL.[1]\n- **Assess agentic readiness** by testing for things like an MCP endpoint, WebMCP declarative tools, `potentialAction` schema, A2A agent card, and `llms.txt` support.[1]\n- **Simulate an agent journey** to see whether an AI agent can complete a task on the site, and get step-by-step failure points plus suggested fixes.[1]\n\nThe listings also describe it as a hosted server that can be connected to from MCP-capable clients such as Claude Desktop, Claude Code, and Cursor.[1][2][3] One independent registry-style source says it exposes **9 tools**, but the exact full tool list is not fully shown in the provided results, so I can only confirm the capabilities explicitly listed above.[3]\n\nIf you want, I can also summarize **how to connect it in Claude, Cursor, or ChatGPT**.",
  "citations": [
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html",
   "https://getlulu.dev/mcps/citerank-mcp",
   "https://verifymcp.io/servers/webformike-citerank/api-mcp-server",
   "https://citerank.dev/blog/mcp-server-aeo-guide",
   "https://mcpindex.ai/server/io-github-webformike-citerank",
   "https://pluginbench.com/mcp/io.github.WeCodeBase/smart-speaker-mcp",
   "https://microlaunch.net/p/citerank",
   "https://github.com/modelcontextprotocol/servers",
   "https://www.getapp.com/all-software/a/citerank/",
   "https://themcpindex.com/flagged",
   "https://artifacta.io/mcp-leaderboard",
   "https://github.com/mcp",
   "https://github.com/apappascs/mcp-servers-hub",
   "https://github.com/dev-assistant-ai/mcp-servers",
   "https://github.com/wong2/awesome-mcp-servers",
   "https://github.com/punkpeye/awesome-mcp-servers/blob/main/README.md"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 2,
  "ok": false,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 0,
  "ms": 228,
  "cr_urls": [],
  "chars": 0,
  "error": "{'_http_error': 429, '_body': '{\"error\":{\"message\":\"Request rate limit exceeded, please try again later.\",\"type\":\"request_rate_limit_exceeded\",\"code\":429}}'}",
  "answer": null,
  "citations": []
 },
 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [
   "agentic readiness"
  ],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 9,
  "ms": 7767,
  "cr_urls": [],
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  "error": null,
  "answer": "You\u2019re asking about **CiteRank** (an AI search visibility platform), not a traditional academic ranking algorithm or \"Citerank.\" Even though the names are similar, the context you're referring to suggests the product\u2011oriented platform that integrates with agents using the Model Context Protocol (MCP).\n\nYes \u2014 **CiteRank does provide an MCP server**. It exposes its audit suite via the Model Context Protocol, allowing a range of MCP-capable agents (such as Claude Code, Claude Desktop, Cursor, etc.) to connect to it.([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai))\n\n\u2014 The endpoint is available at:\n```\nhttps://citerankscore.com/api/mcp-server\n```\nand can be configured in various clients:\n- In Claude Code via:\n  `claude mcp add citerank --transport http https://citerankscore.com/api/mcp-server`\n- In Cursor by adding the HTTP server URL to the MCP configuration.([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai))\n\n---\n\n###  What an Agent Can Do with the CiteRank MCP Server\n\nCiteRank publishes **five tools** through its MCP server, each enabling specific functionality around AI visibility audits, schema generation, agentic readiness, citation tracking, and simulated user journeys. Here are the tools and what they do:\n\n1. **citerank_analyze_url**  \n   Runs a comprehensive AI visibility audit for a given URL. Outputs include:\n   - Schema analysis\n   - AI citation scores\n   - E\u2011E\u2011A\u2011T signals (Expertise, Experience, Authoritativeness, Trustworthiness)\n   - Agentic readiness\n   - Prioritized issues and recommendations([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai))\n\n2. **citerank_check_brand_citations**  \n   Checks if a specified brand or domain is cited in AI-generated answers across platforms like ChatGPT, Gemini, etc. Returns:\n   - Citation rate\n   - Share of voice\n   - Top cited queries\n   - Competitor citation analysis([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai))\n\n3. **citerank_generate_schema**  \n   Produces JSON\u2011LD structured data (schema markup) for a target page by analyzing page content. You can optionally specify the schema type, or let the tool auto-detect it([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n4. **citerank_check_agentic_readiness**  \n   Evaluates how prepared a site is for AI agent interactions. This includes checking for:\n   - MCP endpoint presence\n   - WebMCP declarative tool support\n   - `potentialAction` schema\n   - `A2A agent card`\n   - `llms.txt` presence, among other agent-readiness indicators([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n5. **citerank_simulate_agent_journey**  \n   Simulates an AI agent attempting a task on a website (e.g., booking, requesting a quote, subscribing) and returns:\n   - Step-by-step results\n   - Targeted fixes for failure points during the simulated journey([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n---\n\n### Summary in Plain Terms\n\n- **Does CiteRank have an MCP server?**  \n  Yes \u2014 it hosts one at the specified HTTP endpoint, intended for use with agents like Cursor or Claude.([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai))\n\n- **What can an agent do with it?**  \n  An agent can connect and call tools to:\n  - Audit AI visibility of web pages\n  - Detect brand mentions and citations in AI answer outputs\n  - Generate schema markup\n  - Check readiness for AI agents\n  - Simulate agent interactions and surface actionable insights([mcpservers.org](https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n---\n\nLet me know if you'd like details on how to implement these tools in a specific agent or workflow!",
  "citations": [
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/servers/citerankscore-com-mcp-docs-html?utm_source=openai"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 5552,
  "cr_urls": [],
  "chars": 3002,
  "error": null,
  "answer": "You\u2019re asking whether **CiteArk** (also referred to as \u201cCiterank\u201d in your question) exposes an MCP (Model Context Protocol) server, and what an agent can do with it. Let's clarify this based on their official documentation.\n\nAccording to the CiteArk documentation:\n\n\u2022 **Yes**, CiteArk exposes a **live MCP server** at the URL `https://citeark.com/mcp` ([citeark.com](https://citeark.com/docs/mcp?utm_source=openai)).\n\n\u2022 This server supports both modern MCP Streamable HTTP and a legacy stateless handshake protocol. For **public read access**, no authentication is required. However, for **private reads** or actions like `request_reproduction`, you need to include a CiteArk API Key via `x-api-key` or `Authorization: Bearer` headers; the API key must have the appropriate `run` permission for reproduction tasks ([citeark.com](https://citeark.com/docs/mcp?utm_source=openai)).\n\n### What an agent can do with it\n\nCiteArk's MCP server provides several useful tools, enabling agents to interact programmatically with CiteArk\u2019s research ecosystem. Specifically, agents can:\n\n\u2022 Use `search_research` to **search compact public research records** with cursor-based pagination.\n\n\u2022 Use `get_repository` to **read a repository**, with the option to select only specific sections.\n\n\u2022 Use `get_claims` to **retrieve evidence-linked claims and canonical measurements**.\n\n\u2022 Use `get_verified_runs` to **list verified executions** either by repository or by Claim.\n\n\u2022 Use `get_execution_trace` to **read a run**, optionally including logs, environment details, evidence, and attestation.\n\n\u2022 Use `get_evidence` to **access evidence metadata** and download URLs.\n\n\u2022 Use `verify_attestation` to **cryptographically verify a run's signed attestation**.\n\n\u2022 Use `request_reproduction` to **queue up an executable Claim for reproduction**, assuming the agent has the required permission ([citeark.com](https://citeark.com/docs/mcp?utm_source=openai)).\n\n### Additional capabilities via browser-based WebMCP\n\nCiteArk also supports a browser-based companion interface called **WebMCP**. When a compatible browser agent opens CiteArk (e.g., via Chrome with the experimental WebMCP API enabled), it can discover a subset of the MCP tools\u2014specifically `search_research`, `get_repository`, `get_claims`, `get_verified_runs`, `get_execution_trace`, and `get_evidence`. These are accessible directly while the page is open, using anonymous public API requests, meaning that private data or reproduction requests aren't available through WebMCP ([citeark.com](https://citeark.com/docs/mcp?utm_source=openai)).\n\n---\n\n**Summary:**\n\n- **Yes**, CiteArk operates an MCP server at `https://citeark.com/mcp`.\n- Agents can search, retrieve, verify, and reproduce research records via the listed MCP tools.\n- **WebMCP** enables read-only access to public data directly from a browser when enabled.\n\nIf you'd like help composing agent prompts for using specific tools (e.g., fetching claims or queuing reproductions), I\u2019d be happy to assist!",
  "citations": [
   "https://citeark.com/docs/mcp?utm_source=openai",
   "https://citeark.com/docs/mcp?utm_source=openai",
   "https://citeark.com/docs/mcp?utm_source=openai",
   "https://citeark.com/docs/mcp?utm_source=openai"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [
   "agentic readiness"
  ],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 10,
  "ms": 7994,
  "cr_urls": [],
  "chars": 4109,
  "error": null,
  "answer": "Here\u2019s what I found about your question: **\"Does Citerank have an MCP server, and what can an agent do with it?\"**\n\nYes \u2014 **CiteRank (referred to as \u201cCiterank\u201d in some contexts)** does indeed offer an MCP (Model Context Protocol) server. This lets MCP-compatible agents (such as Claude Code, Cursor, or Claude Desktop) interact with its audit tools directly, without leaving the coding environment ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n**How to Set It Up**\n\nYou can connect your agent to Citerank\u2019s MCP server with a command like:\n\n```\nclaude mcp add citerank --transport http https://citerankscore.com/api/mcp-server\n```\nAlternatively, you can configure the connection through your client\u2019s JSON settings \u2014 for example, in Claude Desktop via `claude_desktop_config.json` or in Cursor through its UI ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\nOnce connected properly, a suite of **five distinct MCP tools** becomes available to your agent ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n**What an Agent Can Do with Citerank\u2019s MCP Tools**\n\nHere\u2019s a breakdown of what each available tool enables:\n\n- **citerank_analyze_url**  \n  Performs a full AI visibility audit on a given URL. It returns schema analysis, AI citation score, E\u2011E\u2011A\u2011T (Expertise, Authoritativeness, Trustworthiness) signals, agentic readiness, and prioritized issues. You can specify the URL along with a \"focus\" parameter like *full*, *schema*, *citations*, *agentic*, or *eeat* ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n- **citerank_check_brand_citations**  \n  Checks how often a brand or domain is cited in AI-generated answers (e.g., Google AI Overviews or Gemini). It provides metrics such as citation rate, share of voice, top cited search queries, and analysis of competitors. Requires the domain, and optionally up to 10 keywords ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n- **citerank_generate_schema**  \n  Generates structured data \u2014 specifically JSON\u2011LD schema markup \u2014 for a given URL, analyzing its content and producing ready-to-implement schema markup. You can optionally specify the schema type, or let the tool auto-detect it ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n- **citerank_check_agentic_readiness**  \n  Tests how prepared a website is for AI agent interactions. It checks for the presence of MCP endpoints, WebMCP declarative tools, `potentialAction` schema, `A2A agent card`, `llms.txt`, and more \u2014 to assess readiness for agentic workflows ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n- **citerank_simulate_agent_journey**  \n  Simulates an AI agent attempting to complete a task on a website. It returns a step-by-step report of where the agent succeeds or fails, along with specific fixes for each failure point. For example, you could ask: *\"Use Citerank to audit example.com and tell me the top three things blocking it from being cited in AI Overviews.\"* ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n**Summary**\n\n- **Yes**, CiteRank has an MCP server available at `https://citerankscore.com/api/mcp-server`, ready for integration with tools like Claude and Cursor ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n- Agents connected to it can perform detailed AI visibility audits, generate structured data, assess brand citations, test agent-readiness, and simulate automated agent journeys \u2014 all through natural language prompts in their MCP-capable environment ([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\nLet me know if you'd like help crafting prompts or integrating it into your workflow!",
  "citations": [
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "gemini",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 1,
  "ms": 11613,
  "cr_urls": [],
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  "error": null,
  "answer": "Yes, **CiteRank** (stylized as CiteRank or CiteRank.co) has a dedicated **MCP (Model Context Protocol) server**. It is designed to bridge the gap between AI assistants (like Claude or Cursor) and live data regarding how brands are cited across \"Answer Engines\" such as ChatGPT, Claude, Gemini, and Perplexity.\n\n### What can an AI agent do with the CiteRank MCP server?\nThe CiteRank MCP server exposes a set of specialized tools that allow an AI agent to perform real-time AI Search Visibility (ASV) and Generative Engine Optimization (GEO) audits. Specifically, an agent using this server can:\n\n*   **Audit Brand Visibility:** The agent can check how often a brand or business is mentioned in responses from major AI models. It can fetch a **CiteRank Score (0\u2013100)** which quantifies citation frequency, sentiment, and platform diversity.\n*   **Track Keywords and Prompts:** Agents can use tools like `outercite_list_keywordsCiterank` to see which prompts are currently being tracked and how a brand ranks for them. They can also use `outercite_add_keywordCiterank` to start monitoring new search queries in real-time.\n*   **Analyze Competitors:** The agent can list competitors and compare their \"citation footprint\" and \"share of voice\" against yours. \n*   **Retrieve Action Plans:** It can pull a \"site-wide fix plan\" or a **GEO Profile draft**, which provides specific technical and content recommendations to increase the likelihood of being cited by AI models.\n*   **Verify Citations:** Through the \"Citation Intelligence\" features, an agent can identify exactly which URLs and sources an AI engine is using to generate a specific answer, helping you understand which third-party sites are acting as your primary \"referrers\" in the AI era.\n*   **Generate Agent-Readiness Schemas:** CiteRank includes a **WebMCP Generator** that an agent can use to create `.well-known/mcp` files and `potentialAction` schemas for a website, making the site itself more \"legible\" and usable by other autonomous AI agents.\n\n### How to use it\nTo use it, you typically add the CiteRank/Outercite remote MCP endpoint to your AI assistant's configuration file (e.g., `claude_desktop_config.json` for Claude Desktop). Once connected, the assistant will see these capabilities as native tools, allowing it to perform complex SEO/AEO research tasks autonomously or in response to your questions.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFnSMxgPGUqgEK82mOA731eujfmYmcNbCS4BS38wHD_Odsp4qRtbbfYFG7SMvVVA0TT-Gw4FnN6wxqFm4D58CsBCbwqeqA0coEG6YgPQGLiFwP5ZAk="
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "gemini",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 1,
  "ms": 12830,
  "cr_urls": [],
  "chars": 2935,
  "error": null,
  "answer": "Yes, **CiteRank** (often associated with the **Outercite** ecosystem) provides a Model Context Protocol (MCP) server. This server allows AI agents (like Claude Desktop, Cursor, or custom-built agents) to interact directly with brand visibility data and AI citation metrics.\n\nThe CiteRank MCP server is designed for **AI Search Optimization (ASEO)** and **Answer Engine Optimization (AEO)**, enabling an agent to monitor and improve how a brand is cited across models like ChatGPT, Claude, Gemini, and Perplexity.\n\n### **What an Agent Can Do with the CiteRank MCP Server**\nBy connecting to the CiteRank MCP server, an AI agent gains several specific capabilities:\n\n*   **Track AI Visibility**: An agent can query live \"Share of Voice\" data to see how often a specific brand or product appears in AI-generated responses compared to competitors.\n*   **Manage Tracking Keywords**:\n    *   `outercite_list_keywords`: Retrieve a list of prompts and keywords currently being monitored.\n    *   `outercite_add_keyword`: Dynamically add new buyer questions or search terms to track across different AI engines.\n*   **Analyze Citation Health**: Agents can fetch \"Agent Readiness Scores,\" which audit a website\u2019s technical setup for AI crawlers. This score typically weights:\n    *   **Actionable Protocols (35%)**: Whether the site uses specific protocols (like `llms.txt`) to guide AI.\n    *   **Discoverability (32%)**: Crawler policies and bot access.\n    *   **Semantic Structure (20%)**: Use of schema markup and structured data.\n*   **Competitor Gap Analysis**: Agents can identify specific prompts where competitors are being cited but the user's brand is not, allowing the agent to suggest content updates to close those gaps.\n*   **Automated Audits**: An agent can run tools like `analyze_aeo` or `get_aeo_score` for any URL to get a grade (A\u2013F) on how \"citeable\" a piece of content is for an LLM.\n\n### **Key Tools Typically Included**\nBased on the CiteRank/Outercite MCP implementation, the following tools are common:\n*   **`outercite_list_keywords`**: Shows standings for tracked prompts.\n*   **`outercite_add_keyword`**: Instructs the system to start monitoring a new prompt.\n*   **`check_ai_readiness`**: Checks if AI bots (GPTBot, ClaudeBot, etc.) are blocked and if necessary files like `llms.txt` exist.\n*   **`get_aeo_score`**: Provides a quick visibility grade and identifies the top issues blocking AI citations.\n\n### **Why It\u2019s Useful**\nInstead of a human manually checking different AI engines and spreadsheets, an agent with this MCP server can:\n1.  **Draft a blog post** and then immediately **run an audit** to see if the draft is optimized for AI citations.\n2.  **Monitor competitors** in the background and alert the user if a competitor gains a significant \"Share of Voice\" for a key industry term.\n3.  **Proactively update a website's `llms.txt`** or schema markup based on real-time feedback from the CiteRank data.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGEWF86QqRBdIwvOsvKkhlatnehsXFPizBRcCGWbreVzsknrDrSACpoVcJfCXfyBGByeqdqMw2KfsgySh8Ec0K5fnpiBy6BE2wr_q7stA=="
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "gemini",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [
   "agentic readiness"
  ],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 15644,
  "cr_urls": [],
  "chars": 2386,
  "error": null,
  "answer": "Yes, **CiteRank** does have an MCP (Model Context Protocol) server. It is primarily used by AI agents to perform audits and optimizations for **Answer Engine Optimization (AEO)** and **Generative Engine Optimization (GEO)**.\n\nThe server allows an agent (such as Claude Desktop or Cursor) to directly interface with CiteRank's tools to measure and improve a brand's visibility within AI-generated answers like those from ChatGPT, Claude, and Perplexity.\n\n### **What an Agent Can Do with the CiteRank MCP Server**\nAn agent equipped with this server can execute a variety of specialized marketing and technical SEO tasks:\n\n*   **Perform AI Visibility Audits:** The agent can run full audits to see if a specific business or URL is being cited by major AI models and identify gaps where competitors are appearing instead.\n*   **Track Citations & Share of Voice:** It can retrieve real-time data on how often a brand is mentioned or cited across different AI engines (ChatGPT, Gemini, Perplexity, etc.).\n*   **Analyze \"Agentic Readiness\":** This is a unique feature that scores how easily *other* AI agents can crawl, understand, and retrieve information from a website (checking for things like `llms.txt`, schema, and citable content).\n*   **Generate & Deploy Schema:** The agent can automatically generate optimized JSON-LD schema markup based on audit results and, in some configurations, push these updates directly to a client\u2019s WordPress site.\n*   **Map \"Agent Journeys\":** It can simulate and analyze the path an AI agent takes to discover information about a brand, helping to ensure the most important \"truth\" about a business is what the AI finds first.\n*   **Brand Intelligence:** It can query how AI systems currently \"perceive\" or describe a brand, providing a sentiment and accuracy score.\n\n### **Technical Details for Setup**\nIf you are using an MCP-compatible client like Claude Desktop, the server is typically added using a remote HTTP transport:\n\n*   **Server Name:** `citerank-mcp`\n*   **Endpoint:** `https://citerankscore.com/api/mcp-server`\n*   **Command Example:** `claude mcp add --transport http citerank-mcp https://citerankscore.com/api/mcp-server`\n\nThe server typically exposes around **9 specific tools** that allow the agent to conduct these lookups and optimizations without the user needing to leave the chat interface or manually use the CiteRank dashboard.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE3Bsqoa2R3LR9jhJJpIhDMZAToelBwvER8d1UPu1ScKhvXMbFvF9_7XH7YGmwMTYglovkqTXStfEUu09gDZOi-O1hYuDS3bEABSDFAx5XrsX_cyG4SGs0wUdvVmHiI",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHJoLofq_nGqAxULZTgYf-swuf6auAMwNqPFmZo_TgJYLgPQDd2i4Wy9DbxVrP6Nd6zFaa0htTWi9G4Sm_ybN7FttdSSfNuQK8-lVJBv2EU5rxW7DsByTE=",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFzmBgmZTao66asTOO_ZXrLTA8NX5DQPjTX_qJCF9fPrnRW0GT-ber5Tdwj7fCKkMlGgYLrFbBl2IukbTKvH4FZ6FKPjBtG5k7thzNnw_zseF1mr-5IjyeQRU4vWQtQqbsrlm_orhwzTYQclCk="
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "claude",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 23,
  "ms": 16609,
  "cr_urls": [],
  "chars": 1143,
  "error": null,
  "answer": "Based on the search results, I can provide you with information about CiteRank's MCP server:\n\n## CiteRank MCP Server\n\nYes, \nCiteRank ships an MCP server on every plan\n. CiteRank is described as \nthe world's first and only platform built for AI agentic search and the future of the web\n.\n\n## What the Platform Does\n\n\nCiteRank is the first agentic auditor built for AI search that tracks live citations across 6 AI engines, diagnose why you're not cited, and deploy schema + AI files directly to WordPress in one click\n. The platform provides \n40+ tools, real engine data, and fixes that actually ship\n.\n\n## What Agents Can Do With It\n\nThe search results indicate that with CiteRank's MCP server, \nyour IDE Agent can write the captions, apply your brand, direct the camera, lint it, publish, and then its live on your website\n. This appears to be in the context of creating demos and content.\n\nThe platform is designed to help brands become more visible in AI search results, addressing the problem where \nmost brands are invisible to AI, with ChatGPT, Gemini, Perplexity, and Grok answering customers' questions and citing competitors instead\n.",
  "citations": [
   "https://www.indiehackers.com/CiteRan",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://mcpservers.org/",
   "https://www.pulsemcp.com/servers",
   "https://glama.ai/mcp/servers",
   "https://seranking.com/api/integrations/mcp/",
   "https://mcpmarket.com/",
   "https://mcp.so/",
   "https://www.celigo.com/blog/mcp-tools/",
   "https://codesignal.com/learn/courses/developing-and-integrating-a-mcp-server-in-python/lessons/exploring-and-exposing-mcp-server-capabilities-tools-resources-and-prompts",
   "https://workos.com/blog/mcp-features-guide",
   "https://modelcontextprotocol.io/specification/2026-07-28/server/tools",
   "https://mcpservers.org/",
   "https://modelcontextprotocol.info/docs/concepts/tools/",
   "https://mcpmarket.com/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://www.seoptimer.com/blog/seo-mcp/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://www.indiehackers.com/CiteRan",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "claude",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 42,
  "ms": 26167,
  "cr_urls": [],
  "chars": 1807,
  "error": null,
  "answer": "Based on the search results, I can see information about CiteRank having an MCP server, but I need more specific details about what agents can actually do with it. Let me search for more specific information.\nBased on my search results, I can now provide you with information about CiteRank and its MCP server capabilities.\n\nYes, \nCiteRank ships an MCP server on every plan\n. However, the search results show that the MCP server reference appears to be associated with a related product called \"Rendemo\" rather than CiteRank itself directly.\n\n## What is CiteRank?\n\n\nCiteRank is the world's first and only platform built for AI agentic search and the future of the web\n. More specifically, \nCiteRank AI is the world's first tool built for auditing, optimizing, and monitoring AI agents and AI search\n.\n\n## What CiteRank Does\n\n\nThe first agentic auditor built for AI search. Track live citations across 6 AI engines, diagnose why you're not cited, and deploy schema + AI files directly to WordPress in one click\n. The platform offers \n40+ tools. Real engine data. Fixes that actually ship\n.\n\n## What Agents Can Do With It\n\nBased on the available information, an AI agent working with CiteRank's tools can:\n\n1. **Track Citations**: Monitor how brands appear across 6 different AI search engines (like ChatGPT, Gemini, Perplexity, and Grok)\n2. **Diagnose Issues**: Analyze why a brand isn't being cited by AI engines\n3. **Deploy Fixes**: Automatically deploy schema markup and AI-specific files directly to WordPress sites\n4. **Optimize for AI Search**: Help brands become more visible in AI-powered search results\n\nThe platform is designed to solve the problem where \nmost brands are invisible to AI. ChatGPT, Gemini, Perplexity, and Grok answer your customers' questions - and cite your competitors, not you\n.",
  "citations": [
   "https://www.indiehackers.com/CiteRan",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://mcpservers.org/",
   "https://www.pulsemcp.com/servers",
   "https://glama.ai/mcp/servers",
   "https://seranking.com/api/integrations/mcp/",
   "https://mcpmarket.com/",
   "https://mcp.so/",
   "https://workos.com/blog/mcp-features-guide",
   "https://www.truefoundry.com/blog/mcp-server",
   "https://modelcontextprotocol.io/docs/2026-07-28/learn/server-concepts",
   "https://mcpservers.org/",
   "https://seoprofy.com/blog/best-mcp-server-for-seo/",
   "https://mcp.so/",
   "https://github.com/modelcontextprotocol/servers",
   "https://seranking.com/api/integrations/mcp/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://www.indiehackers.com/CiteRan",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://www.ibm.com/docs/en/SSAVQO/tools/agent_mcp_servers.html",
   "https://docs.aws.amazon.com/connect/latest/adminguide/ai-agent-mcp-tools.html",
   "https://doniv.substack.com/p/using-mcp-to-augment-agentic-capabilities",
   "https://learn.microsoft.com/en-us/agent-framework/user-guide/model-context-protocol/using-mcp-tools",
   "https://learn.microsoft.com/en-us/agent-framework/tutorials/agents/agent-as-mcp-tool",
   "https://gitlab.com/gitlab-org/gitlab/-/issues/583935",
   "https://neurlcreators.substack.com/i/159944232/what-is-the-model-context-protocol-mcp-architecture",
   "https://jamesbuckhouse.substack.com/p/ai-agents-using-mcp-your-guy-in-the",
   "https://mcpservers.org/servers/docdyhr/mcp-wordpress",
   "https://developer.wordpress.com/docs/mcp/tools-reference/",
   "https://instawp.com/wordpress-mcp/",
   "https://webkul.com/blog/create-mcp-server-wordpress/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://www.miniorange.com/blog/best-mcp-plugins-wordpress/",
   "https://www.respira.press/blog/best-wordpress-mcp-servers",
   "https://emcptools.com/",
   "https://rahhuul.github.io/blog/building-mcp-server-wordpress/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://www.indiehackers.com/CiteRan",
   "https://www.indiehackers.com/CiteRan",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "claude",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 26,
  "ms": 15156,
  "cr_urls": [],
  "chars": 1127,
  "error": null,
  "answer": "Based on my search results, yes, \nCiteRank ships an MCP server on every plan\n. \nCiteRank is described as the first agentic auditor built for AI search that tracks live citations across 6 AI engines, diagnoses why you're not cited, and deploys schema + AI files directly to WordPress in one click\n.\n\nWith the CiteRank MCP server, an agent can:\n\n1. **Automate content creation and optimization**: \nYour IDE Agent can write the captions, apply your brand, direct the camera, lint it, publish, and then it's live on your website\n\n\n2. **Access diagnostic tools**: \nThe platform provides 40+ tools with real engine data and fixes that actually ship\n\n\n3. **Track and analyze AI citations**: \nIt can track live citations across 6 AI engines and diagnose why you're not cited\n\n\n4. **Deploy fixes directly**: \nDeploy schema + AI files directly to WordPress in one click\n\n\nCiteRank positions itself as a platform designed specifically for helping brands become visible in AI search results from engines like ChatGPT, Gemini, Perplexity, and Grok, addressing the problem where these AI systems often cite competitors instead of your brand.",
  "citations": [
   "https://www.indiehackers.com/CiteRan",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://mcpservers.org/",
   "https://www.pulsemcp.com/servers",
   "https://glama.ai/mcp/servers",
   "https://seranking.com/api/integrations/mcp/",
   "https://mcpmarket.com/",
   "https://mcp.so/",
   "https://www.celigo.com/blog/mcp-tools/",
   "https://codesignal.com/learn/courses/developing-and-integrating-a-mcp-server-in-python/lessons/exploring-and-exposing-mcp-server-capabilities-tools-resources-and-prompts",
   "https://workos.com/blog/mcp-features-guide",
   "https://modelcontextprotocol.io/specification/2026-07-28/server/tools",
   "https://mcpservers.org/",
   "https://modelcontextprotocol.info/docs/concepts/tools/",
   "https://mcpmarket.com/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://www.seoptimer.com/blog/seo-mcp/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 48816,
  "cr_urls": [],
  "chars": 2124,
  "error": null,
  "answer": "**No, CiteRank (the AI search visibility / citation-tracking platform at sites like citerank.co, citerank.io, and related domains) does not have a public MCP (Model Context Protocol) server.**[[1]](https://citerank.co/)\n\nIt is a web-based SaaS product focused on auditing why AI engines (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, etc.) do or do not cite a brand, tracking citation ranks, generating optimizations (schema, content, llms.txt, WordPress deploys), competitor benchmarking, and related AEO/GEO work. Its listed integrations are things like Slack, Zapier, Google Analytics, and Discord\u2014not MCP. No developer API, MCP endpoint, or agent-facing tools appear in its documentation, FAQs, or public listings.[[2]](https://appsumo.com/products/citerank/)\n\nAn AI agent therefore cannot connect to CiteRank via MCP to query citation data, run audits, pull reports, or trigger optimizations. Any interaction would be indirect (e.g., a human using the dashboard, or unofficial web access, which is not supported).\n\nCiteRank does discuss **WebMCP** (a proposed browser standard for websites to expose client-side tools/actions to in-browser AI agents, distinct from traditional server-side MCP). This fits their focus on making sites more agent-readable/usable, alongside schema and llms.txt, but it is not an MCP server provided by CiteRank itself.[[2]](https://appsumo.com/products/citerank/)\n\n**If you meant CLIRank** (the API discovery/ranking service, often written similarly), **yes, it has an MCP server**. Agents can use it to search/compare 400+ APIs ranked by CLI/agent-friendliness, get recommendations, fetch agent-readable docs, compare options, and read reviews\u2014typically before installing SDKs or writing integrations. It requires no API key and is designed for coding agents (Claude Code, Cursor, etc.). Install via `npx -y clirank-mcp-server@latest`.[[3]](https://mcpservers.org/servers/alexanderclapp/clirank-mcp-server)\n\nRelated open-source options exist for citation-style tasks (e.g., Citation Intelligence MCP for checking what LLMs cite across engines), but they are not from CiteRank.",
  "citations": [
   "https://citerank.co/",
   "https://appsumo.com/products/citerank/",
   "https://appsumo.com/products/citerank/",
   "https://mcpservers.org/servers/alexanderclapp/clirank-mcp-server"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 41900,
  "cr_urls": [
   "https://citerankscore.com/"
  ],
  "chars": 1734,
  "error": null,
  "answer": "**No, Citerank (the AI search visibility / citation tracking platform at citerankscore.com and related sites) does not appear to have its own MCP server** that agents can connect to. There is no public documentation, GitHub repo, or listing of a Citerank MCP server for querying audits, citation ranks, or other platform features.[[1]](https://citerankscore.com/)\n\nCiterank instead offers a **WebMCP Generator** (available on paid plans). This tool generates files and schema to make *your own website* more discoverable and callable by AI agents, including:\n- `potentialAction` schema\n- A `/.well-known/mcp.json` manifest\n- Additions to `robots.txt`\n\nThis supports their \u201cagent readiness\u201d / Agentic SEO approach: helping sites expose structured actions so other AI agents can parse, trust, and interact with them (alongside tools like `llms.txt` generation). An agent connecting to a site prepared this way could theoretically discover and invoke defined actions on that site, but this is not an MCP server *from* Citerank itself.[[1]](https://citerankscore.com/)\n\nCiterank\u2019s Agency plan mentions a Public API, but this is not described as MCP.\n\n**Note on similar names**: There is a separate product called **CLIRank** (clirank.dev) that *does* have a well-documented MCP server (`clirank-mcp-server`). Agents can use it to search/recommend 400+ APIs ranked by agent-friendliness, fetch docs, compare options, and read reviews\u2014useful before writing integrations. This is distinct from Citerank.[[2]](https://github.com/alexanderclapp/clirank-mcp-server)\n\nIf this doesn\u2019t match the Citerank you meant, provide more details (e.g., a URL). Related open-source options for citation tracking include the Citation Intelligence MCP server.",
  "citations": [
   "https://citerankscore.com/",
   "https://citerankscore.com/",
   "https://github.com/alexanderclapp/clirank-mcp-server"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "Does Citerank have an MCP server, and what can an agent do with it?",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 88253,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools.html"
  ],
  "chars": 1426,
  "error": null,
  "answer": "**Yes, Citerank (citerankscore.com) has an MCP server.** It exposes the platform\u2019s AI visibility audit suite as a remote MCP server that agents can connect to from clients like Claude Code, Cursor, Copilot, or any other MCP-compatible tool.[[1]](https://citerankscore.com/tools.html)\n\nThe server uses JSON-RPC 2.0 with Bearer token authentication and provides 5 MCP tools. An agent can use it to run site audits, generate schema (JSON-LD), check brand citations across AI engines, and simulate agent journeys on a site\u2014all without leaving the IDE or chat interface. This lets agents pull live Citerank data (citation ranks, schema gaps, entity issues, crawlability, etc.) and generate deployable fixes as part of their workflow.[[1]](https://citerankscore.com/tools.html)\n\nCiterank also includes a separate **WebMCP Generator** that creates files (such as a `/.well-known/mcp.json` manifest, potentialAction schema, and robots.txt updates) so *your own website* can expose tools/actions to AI agents via the emerging WebMCP standard. This is distinct from Citerank\u2019s own MCP server.[[2]](https://citerankscore.com/)\n\nConnection details (URL, exact tool names, and API key setup) appear to be available in the Citerank dashboard or via the \u201cConnect MCP Server\u201d link on their tools page; it requires an account (with higher-tier plans offering a public API). Note that Citerank is an early-stage product, so features may evolve.",
  "citations": [
   "https://citerankscore.com/tools.html",
   "https://citerankscore.com/tools.html",
   "https://citerankscore.com/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": true,
  "n_cites": 20,
  "ms": 5374,
  "cr_urls": [],
  "chars": 1748,
  "error": null,
  "answer": "CiteRank appears to have **different pricing depending on the domain/product you mean**. The main current pricing page on **citerank.in** shows plans from **$99/mo to $599/mo**, with an **Enterprise** option that is **custom pricing**.[1] Another CiteRank site, **citerank.co**, shows a separate pricing structure starting at **$249/month** with a free trial, so the exact cost depends on which CiteRank product you\u2019re using.[2][7]\n\nFor **citerank.in**, the pricing page indicates these plan levels and inclusions:[1]\n\n- **Basic \u2014 $99/mo**\n  - Pricing page lists this as the entry plan, but the snippet does not fully expose its feature list.[1]\n\n- **Growth \u2014 $299/mo**\n  - The snippet shows this as the next tier, but the extracted result does not fully show all included features.[1]\n\n- **Premium \u2014 $599/mo**\n  - **500 prompts/month**\n  - **20 replays per prompt per engine**\n  - **7 competitors tracked**\n  - **Daily monitoring**\n  - **Slack + webhook alerts**\n  - **GA4, Search Console, and HubSpot attribution**\n  - **4\u20136 GEO content pieces/month**[1]\n\n- **Enterprise \u2014 custom pricing**\n  - **Configurable replay depth**\n  - **Unlimited competitors and seats**[1]\n\nFor **citerank.co**, the visible pricing details are:[2][7]\n\n- **$249/month**\n  - **2 websites**\n  - **6 trackers**\n  - **200 prompts / 20,000 responses**\n  - **Daily refresh**\n  - **Every AI provider included**\n  - **Content optimization**\n  - **Technical optimization**\n  - **Data-backed actionable insights**\n  - **30 optimized article generation**\n  - **Crawler analytics**\n  - **Priority support**[2][7]\n\nIf you want, I can also separate the pricing by **which CiteRank website/product is the official one for your use case** and give you a cleaner side-by-side comparison.",
  "citations": [
   "https://www.citerank.in/pricing",
   "https://citerank.co/pricing",
   "https://citerank.io/pricing",
   "https://citerank.io/",
   "https://citerankai.com/",
   "https://www.stork.ai/ru/citerank",
   "https://citerank.co/",
   "https://www.citerank.in/",
   "https://appsumo.com/products/citerank/",
   "https://www.capterra.com/p/10061065/CiteRank/",
   "https://www.getapp.com/all-software/a/citerank/",
   "https://citability.dev/llms.txt",
   "https://citerank.com/terms",
   "https://www.deepserp.com/pricing",
   "https://aiciterank.com/",
   "https://citerank.com/",
   "https://citorank.com/pricing",
   "https://www.citerank.in/free-ai-visibility-audit",
   "https://outercite.com/",
   "https://citerank.dev/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": true,
  "n_cites": 20,
  "ms": 4376,
  "cr_urls": [],
  "chars": 1767,
  "error": null,
  "answer": "CiteRank\u2019s pricing varies by product/domain, and the **official pricing pages do not all match each other**. The clearest recurring-plan pricing I found is on **citerank.in**: **Basic $99/mo**, **Growth $299/mo**, **Premium $599/mo**, and **Enterprise custom pricing**.[1]\n\nHere\u2019s what each tier includes on that pricing page:\n\n| Plan | Price | Included |\n|---|---:|---|\n| **Basic** | **$99/mo** | **500 prompts/month**, **20 replays per prompt per engine**, **7 competitors tracked**, **daily monitoring**, **Slack + webhook alerts**, **GA4/Search Console/HubSpot attribution**, and **4\u20136 GEO content pieces/month**.[1] |\n| **Growth** | **$299/mo** | The pricing page text is partially truncated in the search result, but it appears to be the mid-tier plan between Basic and Premium.[1] |\n| **Premium** | **$599/mo** | **Everything in Platform + GEO**, **750 prompts/month**, **30 replays per prompt per engine**, **dedicated GEO analyst**, **48-hour SLA**, and **8\u201312 GEO content pieces/month**.[1] |\n| **Enterprise** | **Custom** | **Configurable replay depth** and **unlimited competitors and seats**.[1] |\n\nIf you meant the **citerank.co** product instead, that page shows a different structure: **$249/month** with **2 websites, 6 trackers, 200 prompts / 20,000 responses, daily refresh, all major AI providers, content optimization, technical optimization, actionable insights, 30 optimized article generations, crawler analytics, and priority support**, plus a **3-day free trial** for all plans.[2][7]\n\nThere are also other CiteRank-branded pricing pages with different plan names and prices, so if you want, I can help you compare the versions and identify which one is the official/current plan for the specific CiteRank product you\u2019re evaluating.[1][2][3]",
  "citations": [
   "https://www.citerank.in/pricing",
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   "https://www.capterra.com/p/10061065/CiteRank/",
   "https://www.getapp.com/all-software/a/citerank/",
   "https://citability.dev/llms.txt",
   "https://citerank.com/terms",
   "https://www.deepserp.com/pricing",
   "https://aiciterank.com/",
   "https://citerank.com/",
   "https://citorank.com/pricing",
   "https://www.citerank.in/free-ai-visibility-audit",
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  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
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  "answer": "CiteRank\u2019s pricing appears on multiple similarly named sites, and the **most relevant official-looking pricing page** shows plans starting at **$99/month** with **Basic**, **Growth**, **Premium**, and **Enterprise** tiers.[1] Another CiteRank pricing page lists a different product lineup starting at **$249/month**, so the exact plan names and inclusions depend on which CiteRank product you mean.[2][7]\n\nFor the **$99/mo\u2013$599/mo** plan set, the listed tiers are:\n\n| Plan | Cost | What\u2019s included |\n|---|---:|---|\n| **Basic** | **$99/mo** | Not fully visible in the result snippet, but the page shows this as the entry plan.[1] |\n| **Growth** | **$299/mo** | Not fully visible in the result snippet, but the page shows this as the middle tier.[1] |\n| **Premium** | **$599/mo** | Includes **everything in Platform + GEO**, **750 prompts/mo**, **30 replays per prompt per engine**, a **dedicated GEO analyst**, a **48-hour SLA**, and **8\u201312 GEO content pieces/month**.[1] |\n| **Enterprise** | **Custom pricing** | Includes **configurable replay depth** and **unlimited competitors and seats**.[1] |\n\nThe same pricing page also shows a lower section of included features for the platform/GEO offering: **500 prompts/mo**, **20 replays per prompt per engine**, **7 competitors tracked**, **daily monitoring**, **Slack + webhook alerts**, **GA4/Search Console/HubSpot attribution**, and **4\u20136 GEO content pieces/mo**.[1] That feature block appears to describe a lower plan or platform bundle, but the snippet does not clearly map every bullet to a single named tier.[1]\n\nIf you meant the **$249/month** CiteRank product, that plan includes **2 websites**, **6 trackers**, **200 prompts / 20,000 responses**, **daily refresh**, coverage of **every AI provider included**, **content optimization**, **technical optimization**, **data-backed actionable insights**, **30 optimized article generations**, **crawler analytics**, and **priority support**.[2] It also mentions a **3-day free trial** for all plans.[2][13]\n\nIf you want, I can also turn this into a simple side-by-side comparison of the two different CiteRank pricing pages.",
  "citations": [
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 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
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  "answer": "Here\u2019s the current, accurate breakdown of **CiteRank** (citerank.io) pricing and what each plan includes. All information below is based on the pricing page as of my search; it reflects the most up-to-date details available today.\n\n---\n\n##  Pricing Overview\n\n### 1. Free Diagnostic \u2014 $0 (one-time)\n- A single diagnostic scan for one website.\n- Delivers a site\u2011wide Markdown optimization plan, editable GEO Profile draft, and baseline report including AI visibility, competitor signals, and next-step recommendations. ([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n### 2. **Starter Monitoring** \u2014 $99 per month (with 7-day free trial*)\nIncludes:\n- One website project.\n- Up to 20 active buyer\u2011intent questions monitored weekly.\n- Coverage across six AI platforms (ChatGPT, Gemini, Perplexity, Claude, Grok, DeepSeek).\n- Monitoring of competitors, AI\u2011generated answers, source gaps, priority action areas, and before\u2011and\u2011after recheck history. ([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n### 3. **GEO Foundation + AI Page Upgrade** \u2014 $299 (one-time)\nIncludes:\n- A draft, editable GEO Profile to standardize brand positioning.\n- Detailed upgrade guidance for 3\u20135 pages (answer blocks, schema, FAQ, comparisons, sources).\n- A 30-day Starter Monitoring recheck following the page upgrades. ([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n### 4. **Pro GEO** \u2014 $499 per month (7-day free trial*)\nIncludes everything in Starter Monitoring, plus:\n- AI content generation tools (for comparison pages, FAQs, article drafts).\n- A specialist-assisted brand profile you approve.\n- Two expert optimization cycles per month: curated page and content improvement plans, implementation monitoring, and before\u2011and\u2011after rechecks. ([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n### 5. **Managed GEO** \u2014 $999 per month (7-day free trial*)\nIncludes everything in Pro, plus:\n- Four expert optimization cycles per month (biweekly).\n- Fully written, finalized page copy, structured data, FAQs, and internal links\u2014delivered ready to publish.\n- Off-site support materials (e.g., Reddit, directories) prepared for you to post.\n- Ongoing brand consistency maintenance and customizable reporting cadence. ([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n### 6. **Enterprise** \u2014 Custom pricing\nTailored for multi-brand or multi-market needs, including:\n- Management across multiple websites and languages.\n- Customizable buyer\u2011question sets, AI platform coverage, recheck frequency, and delivery format.\n- Executive-level recurring reporting and hands-on specialist execution. ([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n##  At\u2011a\u2011Glance Comparison\n\n| Plan                    | Cost                     | Key Inclusions                                                                 |\n|-------------------------|--------------------------|---------------------------------------------------------------------------------|\n| Free Diagnostic         | $0 (one-time)            | One diagnostic scan, baseline, GEO draft, site audit                           |\n| Starter Monitoring      | $99/month                | Weekly monitoring, 20 questions, 6 AI platforms, evidence tracking             |\n| GEO Foundation + Upgrade| $299 (one-time)          | Editable GEO Profile + page upgrade guidance + 30 days Starter Monitoring     |\n| Pro GEO                 | $499/month               | AI content tools, specialist guidance, 2 optimization cycles/month              |\n| Managed GEO             | $999/month               | Full deliverable copy, structured data, continuous optimization, reports        |\n| Enterprise              | Custom quote             | Multi-site, multi-language support, tailored workflows                          |\n\n\\*All recurring plans (Starter, Pro, Managed) include a 7-day free trial (credit card required; cancel any time during trial to avoid charges). ([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n##  Summary Highlights by Plan\n\n- **Free Diagnostic**: Ideal for getting your first look at AI visibility and initial insights\u2014zero cost to start.\n- **Starter ($99/mo)**: Perfect for businesses that want ongoing visibility checks, but prefer a self\u2011serve model for implementation.\n- **GEO Foundation + Upgrade ($299 one-time)**: Great when you need quick, structured page improvements plus the foundation for later monitoring.\n- **Pro GEO ($499/mo)**: For teams seeking guided implementation\u2014leverages AI content creation with expert strategy and validation.\n- **Managed GEO ($999/mo)**: Hands-off solution\u2014full execution, from content to schema to off\u2011site support, regularly maintained.\n- **Enterprise**: Custom-tailored for scale\u2014multi-brand, multi-language, multi-site setups with advanced reporting needs.\n\n---\n\nLet me know if you\u2019d like help comparing these plans based on your specific goals or how they align with other tools in this category.",
  "citations": [
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 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
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  "answer": "Here\u2019s a clear breakdown of what **CiteRank** (from citerank.io) costs and what each plan includes, based on the most recent and authoritative pricing page as of Thursday, September 10, 2026:\n\n---\n\n##  CiteRank Pricing and Plan Features\n\n### 1. Free Diagnostic \u2014 $0 (one-time)\n- **Cost**: One-time free diagnostic; no subscription required.([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - One complete diagnostic across your site\n  - Site-wide Markdown plan\n  - Editable GEO profile draft\n  - Website baseline evaluation\n  - Recommendation insight on which competitor signal is strongest and a first action to take([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n\n### 2. Starter Monitoring \u2014 $99/month  \n- **Cost**: $99 per month, with a 7-day free trial (card required, cancel anytime before day 8 to avoid charges)([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - Monitoring of one website project\n  - Up to 20 active buyer questions\n  - Six AI platforms: ChatGPT, Gemini, Perplexity, Claude, Grok, DeepSeek\n  - Weekly rechecks using the same question set\n  - Collection of raw AI answers and screenshots\n  - Identification of competitor recommendations and missed citations\n  - Actionable insight on which page or content to change first([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n\n### 3. GEO Foundation + AI Page Upgrade \u2014 $299 (one-time)\n- **Cost**: One-time fee of $299; no trial or subscription([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - Approval of an owner-reviewed GEO profile\n  - Upgrades to 3\u20135 existing pages\n  - 30 days of Starter-style monitoring (weekly rechecks)([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Details of page upgrades**:\n  - Tailored for 20 buyer questions across six AI models\n  - Checks up to 3 direct competitors per question\n  - Identifies where competitors are cited and you are not\n  - Provides section-by-section recommendations (answer blocks, facts, comparisons, FAQ, schema, internal links, etc.)\n  - Includes checklists for days 7, 14, and 30 post-publication to measure impact([citerank.io](https://citerank.io/pricing?checkout=active&utm_source=openai))  \n\n### 4. Pro GEO \u2014 $499/month  \n- **Cost**: $499 per month, with a 7-day free trial (card required)([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes everything from Starter**, plus:\n  - AI content generation: comparison pages, FAQ sections, article drafts\n  - Specialist support to build and approve brand positioning\n  - Two expert optimization rounds per month:\n    - Choosing high-impact issues\n    - Creating page and content plans\n    - Implementation check before and after publishing\n  - Weekly or ongoing rechecks for impact measurement([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n\n### 5. Managed GEO \u2014 $999/month  \n- **Cost**: $999 per month; includes a 7-day free trial (card required)([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes everything in the Pro plan**, plus:\n  - Four expert optimization rounds per month (biweekly pace)\n  - Full delivery of final page copy, FAQ, schema, and internal links\u2014ready to publish\n  - Off-site content (e.g., guest posts, directory listings, Reddit) prepared with publication guidance\n  - Ongoing site- and brand-fact consistency maintenance across public profiles\n  - Before-and-after reporting\u2014on a schedule of your choosing([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n\n### 6. Enterprise \u2014 Custom Pricing  \n- **Cost**: Custom-quoted; requires contacting sales([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Features**:\n  - Multi-brand and multi-site management under a single plan\n  - Multi-market, multi-language support\n  - Custom buyer-question volume and AI-platform coverage\n  - Flexible recheck and reporting cadence\n  - Specialist-level execution and executive-level reporting([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n\n---\n\n##  Plan Comparison Overview\n\nPlan                     | Cost               | Key Features\n------------------------|--------------------|----------------------------\nFree Diagnostic           | $0 (one-time)      | One baseline diagnostic, markdown plan, GEO profile draft\nStarter Monitoring        | $99/month          | Weekly monitoring of 20 questions, 6 AI platforms, competitor detection\nGEO Foundation + Upgrade | $299 (one-time)    | Page upgrades for 3\u20135 pages, 30-day Starter monitoring\nPro GEO                   | $499/month         | Everything in Starter, plus content generation, 2 optimization rounds, specialist help\nManaged GEO               | $999/month         | Everything in Pro, plus full deliverables, off-site content prep, brand consistency, 4 optimization cycles\nEnterprise                | Custom             | Multi-site/brand/language, custom scope, specialist execution, executive reporting\n\n---\n\nIn summary, CiteRank offers a clear progression from a free diagnostic all the way to fully managed optimization, with transparent pricing at each stage. Let me know if you\u2019d like help deciding which plan might be best for your situation or need, or if you'd like to compare with similar services!",
  "citations": [
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 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
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  "answer": "Here\u2019s the most current and accurate information on CiteRank pricing, organized by plan and clearly delineating what each level includes:\n\n---\n\n##  CiteRank Pricing Overview\n\n### 1. Free Diagnostic (One-Time, $0)\n- **Cost**: $0 (one-time diagnostic)([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - A single, complete diagnostic for one website\n  - One buyer question\n  - Competitor visibility, strongest signals, priority action\n  - Site-wide Markdown plan and editable GEO Profile draft\n  - Website baseline report([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n### 2. Starter Monitoring \u2014 $99/month\n- **Cost**: $99/month with a 7-day free trial; card required upfront and cancelable anytime([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - One website project\n  - Up to 20 active buyer questions\n  - Monitoring across six AI platforms: ChatGPT, Gemini, Perplexity, Claude, Grok, DeepSeek\n  - Weekly rechecks of the same questions\n  - Raw answers, screenshots, competitor tracking, recommended fixes, and CSV export([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n### 3. GEO Foundation + AI Page Upgrade \u2014 $299 (One-Time)\n- **Cost**: $299 one-time service; no trial; charged immediately([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - Approved GEO Profile (brand positioning facts)\n  - Upgrades to 3\u20135 existing pages (answer blocks, FAQ, schema, sources)\n  - 30 days of Starter Monitoring rechecks to measure impact([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n### 4. Pro GEO \u2014 $499/month\n- **Cost**: $499/month with a 7-day free trial; card required; cancel anytime([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - Everything in Starter Monitoring\n  - AI content generation tools (comparison pages, FAQ, article drafts)\n  - Specialist-led brand positioning profile\n  - Two expert optimization rounds per month: evidence review, priority page recommendations\n  - Live implementation checks and before\u2011/after results tracking([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n### 5. Managed GEO \u2014 $999/month\n- **Cost**: $999/month with a 7-day free trial; card required; cancel anytime([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - Everything in Pro GEO\n  - Four expert optimization rounds/month (biweekly)\n  - Full, publish-ready content: page copy, FAQs, structured data, internal links\n  - Off-site materials (e.g., directory listings, guest posts) fully prepared for publishing\n  - Ongoing brand consistency maintenance across site and public profiles\n  - Regular or weekly before\u2011and\u2011after reports on citations and visibility([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n### 6. Enterprise \u2014 Custom Pricing\n- **Cost**: Custom, quoted based on scope([citerank.io](https://citerank.io/pricing?utm_source=openai))  \n- **Includes**:\n  - Multiple brands/sites across markets/languages\n  - Tailored number of buyer questions, AI platforms, rechecks, and reporting\n  - Executive reporting and optional hands-on specialist support, executed on a schedule that fits your operations([citerank.io](https://citerank.io/pricing?utm_source=openai))\n\n---\n\n##  Summary Table\n\nPlan                          | Price         | Key Features\n------------------------------|---------------|----------------------------------------------------------------------------------\nFree Diagnostic               | $0 (one-time) | One diagnostic, single buyer question, GEO Profile draft, site baseline\nStarter Monitoring            | $99/month     | 1 site, 20 Qs, 6 AI platforms, weekly rechecks, exports, competitor insight\nGEO Foundation + Page Upgrade | $299 one-time | GEO Profile + 3\u20135 page upgrades + 30 days Starter rechecks\nPro GEO                       | $499/month    | All Starter + AI content generation, 2 expert monthly optimizations, live checks\nManaged GEO                   | $999/month    | All Pro + 4 expert rounds, full content delivery, off-site support, brand consistency\nEnterprise                    | Custom        | Multi-brand, multi-language support; custom scope, rechecks, and reporting cadence\n\n---\n\nLet me know if you'd like a deeper breakdown of any specific tier or help comparing options!",
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  "answer": "CiteRank (formerly AI For SEO) offers several pricing structures depending on whether you need a basic visibility audit, ongoing monitoring, or a \"full-loop\" automation service that writes and publishes articles.\n\nThe pricing generally falls into two categories: the **Visibility Platform** (audits and tracking) and the **Full Loop AEO** (content generation and automated fixes).\n\n### 1. AI Visibility Platform (Monitoring & Audits)\nThese plans focus on tracking how often your brand is cited and identifying gaps where competitors appear instead.\n\n| Plan | Cost | Key Features Included |\n| :--- | :--- | :--- |\n| **Free** | $0 | 3 page audits/month, Citerank Score, Schema and `llms.txt` generators. |\n| **Pro** | $79/mo | **Unlimited audits**, 20 monitored domains, 100-page site crawler, competitor Share of Voice (SOV) tracking, and PDF reports. |\n| **Agency** | $129/mo | **Everything in Pro**, plus white-label reports, unlimited domains, bulk crawler, client workspaces, API access, and team seats (up to 5). |\n\n*Note: Some versions of this platform (found at `citerank.ai`) offer a **\"Value-Based\"** model starting at **$19/mo (Starter)**, **$49/mo (Growth)**, or **$124/mo (Pro)**. These plans include a \"performance bonus\" where you pay extra\u2014capped at 3x your base rate\u2014only if your citations actually grow.*\n\n---\n\n### 2. Full-Loop AEO (Content & Automation)\nThese plans are designed for teams that want the tool to not only find gaps but also write and publish \"answer-first\" content to fix them.\n\n| Plan | Cost | Key Features Included |\n| :--- | :--- | :--- |\n| **Starter** | *(Estimated $99/mo)* | 1 website, 2 trackers (daily refreshes), 4 optimized articles/month, and standard support. |\n| **Professional** | $249/mo | 2 websites, 6 trackers, 200 prompts/20k responses, **30 optimized articles/month**, crawler analytics, and priority support. |\n| **Business** | Custom | Custom websites/trackers, bespoke prompt graphs, SSO, and a dedicated category strategist. |\n\n---\n\n### 3. One-Time Services\nFor businesses not ready for a subscription, CiteRank offers a one-time \"Jumpstart\" service:\n*   **GEO Foundation + AI Page Upgrade ($299 one-time):** This includes a professional audit of 3\u20135 high-priority pages, an editable GEO (Generative Engine Optimization) profile, and exact change lists (schema, facts, and FAQs) to improve your citation rate.\n\n### Key Included Features (Across Most Paid Tiers)\n*   **Multi-Engine Coverage:** Most plans track visibility across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.\n*   **Actionable Insights:** Unlike traditional SEO tools, CiteRank provides \"quick wins\" and specific technical fixes (like entity clarity or passage structure) designed for machine crawlers rather than just humans.\n*   **Daily Refreshes:** Paid tiers typically refresh your citation data every 24 hours to track shifts in how AI models respond to your brand.",
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  "answer": "CiteRank offers several plan levels designed to help businesses track and improve their visibility in AI search engines like ChatGPT, Claude, Gemini, and Perplexity. \n\nAs of late 2026, the pricing is divided into several tiers based on the volume of websites, \"trackers\" (sets of prompts run daily), and automated article generation.\n\n### **Core Subscription Plans**\nMost current users access CiteRank through the following standard tiers:\n\n| Plan | Estimated Cost | Key Inclusions |\n| :--- | :--- | :--- |\n| **Free / Trial** | $0 | 1\u20133 full audits/diagnostics per month, basic CiteRank score, and 3-day trial of paid features. |\n| **Starter** | **$49 \u2013 $99 /mo** | 1 website, 2 trackers, ~50 audits, and 4 AI-optimized articles per month. |\n| **Professional** | **$249 /mo** | 2 websites, 6 trackers, 200 prompts (20k responses), 30 optimized articles, and priority support. |\n| **Business / Agency** | **Custom** | Unlimited/custom websites and trackers, custom article volume, white-label reports, and team seats (up to 5). |\n\n---\n\n### **What is Included at Each Level?**\n\n#### **1. Starter Plan (Best for Individual Sites)**\n*   **AI Monitoring:** Tracks your brand across major models (ChatGPT, Claude, Gemini, Perplexity).\n*   **Trackers:** Usually includes 2 trackers, which are sets of buyer-intent questions run daily to check for mentions.\n*   **Content Generation:** 4 \"answer-first\" articles per month designed to be cited by AI crawlers.\n*   **Technical Tools:** Access to the Schema Generator, `llms.txt` generator, and basic site-wide fix plans.\n\n#### **2. Professional Plan (Most Popular)**\n*   **Expanded Coverage:** Adds support for a second website and increases trackers to 6.\n*   **High-Volume Research:** Includes 200 custom prompts and up to 20,000 AI responses to deeply analyze how different engines view your brand.\n*   **Scale:** Generates 30 optimized articles per month (one per day) to fill content gaps identified by the AI.\n*   **Crawler Analytics:** Advanced insights into how AI bots (like GPTBot or OAI-SearchBot) are interpreting your site structure.\n\n#### **3. Managed & Agency Options**\nFor teams that want a \"done-for-you\" approach, CiteRank offers higher-tier managed services (sometimes found at `citerank.io` or `citerank.com`):\n*   **Managed ($499 \u2013 $999/mo):** Includes a monthly priority-improvement cycle where CiteRank experts manage the live checks and rechecks.\n*   **One-Time Upgrades ($299):** A specific service to upgrade key pages with \"high-citation patterns\" based on proven AI-visibility data.\n\n### **Key Features Explained**\n*   **Trackers:** A \"tracker\" is a set of prompts that CiteRank runs every 24 hours. More trackers allow you to monitor different product categories or competitor sets simultaneously.\n*   **Optimized Articles:** These are not standard SEO blog posts; they are structured specifically for \"Answer Engine Optimization\" (AEO) to be easily parsed and quoted by AI models.\n*   **Performance Bonuses:** Some legacy or beta plans (starting at $19/mo) use a value-based model where you pay a bonus only when your AI \"Share of Voice\" or citation count actually increases.\n\n**Note:** CiteRank recently rebranded from \"AI For SEO.\" You may see slight variations in pricing (e.g., $49 vs $99 for Starter) depending on whether you are looking at the self-service platform or the managed service portal. All plans typically include a **3-day free trial** with a credit card required up front.",
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  "answer": "CiteRank (recently rebranded from AI For SEO) offers several pricing models depending on the specific platform you are using (the general web platform, the Shopify app, or the technical audit tool). Because there are multiple products with similar names, the costs and inclusions vary significantly.\n\n### 1. CiteRank (Main Platform - `citerank.co`)\nThis is the primary AI Search Optimization (AEO/GEO) platform focused on getting brands cited in tools like ChatGPT, Claude, and Perplexity. It includes automated article generation and daily monitoring.\n\n| Plan | Cost | Key Inclusions |\n| :--- | :--- | :--- |\n| **Starter** | **~$99/mo** | 1 Website, 2 Trackers, 4 Optimized Articles/mo, Standard Support. |\n| **Professional** | **$249/mo** | 2 Websites, 6 Trackers, 20,000 Responses/mo, 30 Optimized Articles/mo, Priority Support, Crawler Analytics. |\n| **Business** | **Custom** | For agencies/large teams; includes custom trackers, websites, and volume for article generation. |\n\n*Note: Some listings show a lower entry price (~$29.99), but the official site currently highlights the $99\u2013$249 range for its full monitoring and generation suite.*\n\n---\n\n### 2. CitoRank (Shopify App)\nIf you are using the Shopify-specific version of the tool, the pricing is credit-based and integrated with your Shopify admin.\n\n| Plan | Cost | Key Inclusions |\n| :--- | :--- | :--- |\n| **Starter** | **$25/mo** | 2,500 Credits, Lite analysis, 1 competitor per keyword, 6 months of history. |\n| **Small Business** | **$49/mo** | 5,000 Credits, \"Balanced\" analysis, 3 competitors per keyword, 24 months of history. |\n| **Large Store** | **$99/mo** | 10,000 Credits, Comprehensive deep-web grounding, 5 competitors, 60 months of history. |\n\n---\n\n### 3. CiteRank.ai (Audit & Technical Tool)\nThis version focuses more on technical SEO, schema generation, and site-wide audits.\n\n*   **Free (\u20ac0/mo):** Includes 3 full page audits per month, CiteRank Score, and basic Schema/LLM file generators.\n*   **Pro (~\u20ac19/mo):** Unlimited audits, Citation Tracker for 20 domains, Site Crawler (100 pages), and GSC AI Overview data.\n*   **Agency:** Adds white-label reports, unlimited client domains, WordPress integration, and public API access.\n\n---\n\n### 4. CiteRank.io (Managed Services)\nFor businesses that want a \"done-for-you\" approach, this branch offers managed growth loops.\n*   **Starter Monitoring ($99/mo):** Weekly rechecks of 20 buyer questions for one website.\n*   **Pro GEO ($499/mo):** Adds AI content generation (FAQ sections, comparison pages) and two expert optimization rounds per month.\n*   **Managed GEO ($999/mo):** A fully managed service where the CiteRank team writes and finalizes all page copy, structured data, and internal links for you.\n\n### What is a \"Tracker\"?\nAcross most plans, a **Tracker** refers to a set of specific \"buyer questions\" or prompts that the system runs across all major AI models (ChatGPT, Gemini, Claude, etc.) every day to see if your brand is mentioned and who your competitors are in that specific category.",
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  "answer": "I found information about CiteRank's features but need to search more specifically for their pricing details.\nLet me search more specifically for CiteRank pricing page information.\nI found some information about CiteRank's features but not the specific pricing. Let me search for the actual pricing details on their website.\nBased on my search results, I found detailed information about CiteRank's features and plan levels, but the specific pricing amounts were not included in the search results. Let me provide you with what I found:\n\n## CiteRank Plan Levels and Features\n\nBased on the available information, CiteRank offers three plan levels: **Starter**, **Professional**, and **Business**. Here's what's included at each level:\n\n### Features by Plan Level:\n\n**AI Model Coverage:**\n\nEvery plan includes full coverage across all major AI models: ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Google AI Overviews, Bing Copilot, Grok, Llama, Mistral, and Qwen.\n\n\n**Optimized Article Generation:**\n\nStarter: 4 optimized articles/month, Professional: 30 optimized articles/month, Business: Custom volume.\n\n\n**Website Tracking:**\n\nStarter: 1 website, Professional: 2 websites, Business: Unlimited (custom).\n\n\n**Priority Support:**\n\nYes \u2014 available on Professional and Business plans. Starter receives standard support.\n\n\n**Crawler Analytics:**\n\nYes \u2014 included in Professional and Business plans. (Starter excludes crawler analytics.)\n\n\n**Prompt Evaluations:**\n\nCiteRank improves your ranking through daily AI visibility tests across all models, prompt-based evaluations (up to 200 prompts / 20,000 responses depending on plan)\n\n\nUnfortunately, the specific monthly or annual pricing for each plan was not available in the search results. You would need to visit CiteRank's website directly or contact them to get current pricing information.",
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  "answer": "I found some information about CiteRank, but I need to get more specific details about their pricing plans. Let me search for more detailed pricing information.\nThe search results are not giving me specific pricing for CiteRank. Let me search more specifically for the CiteRank.co website pricing information.\nI found information about CiteRank from citerank.co, but I haven't found the specific dollar pricing yet. Let me try one more search to find the actual cost.\nBased on my search results, I found information about CiteRank's features and plan tiers from citerank.co, but the specific pricing amounts were not displayed on the pages I found. However, I can share what I learned about what's included at each plan level:\n\n## CiteRank Plan Features\n\nBased on the available information, CiteRank offers three plan tiers: **Starter**, **Professional**, and **Business**. Here's what's included at each level:\n\n### Features by Plan:\n\n**AI Model Coverage:**\n\nEvery plan includes full coverage across all major AI models: ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Google AI Overviews, Bing Copilot, Grok, Llama, Mistral, and Qwen.\n\n\n**Optimized Content Generation:**\n- \nStarter: 4 optimized articles/month, Professional: 30 optimized articles/month, Business: Custom volume.\n\n\n**Website Tracking:**\n- \nStarter: 1 website, Professional: 2 websites, Business: Unlimited (custom).\n\n\n**Prompt Testing:**\n- \nPrompt-based evaluations (up to 200 prompts / 20,000 responses depending on plan)\n\n\n**Priority Support:**\n- \nPriority support is available on Professional and Business plans. Starter receives standard support.\n\n\n**Crawler Analytics:**\n- \nIncluded in Professional and Business plans.\n\n\nUnfortunately, the specific monthly or annual pricing amounts for each tier were not available in the search results. I recommend visiting citerank.co directly or contacting them for current pricing information.",
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   "https://en.wikipedia.org/wiki/BillMonitor",
   "https://citerank.io/",
   "https://en.wikipedia.org/wiki/PriceSCAN",
   "https://citationsy.com/pricing",
   "https://www.g2.com/products/mixrank/software_advice_form_fill/new",
   "https://citerank.co/",
   "https://en.wikipedia.org/wiki/Pricesearcher",
   "https://en.wikipedia.org/wiki/Co-citation",
   "https://en.wikipedia.org/wiki/Eardex.com",
   "https://en.wikipedia.org/wiki/CiteSeerX",
   "https://en.wikipedia.org/wiki/CiteAb",
   "https://g2.com/products/trueranker/software_advice_form_fill/new",
   "https://arxiv.org/abs/physics/0612122",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/"
  ]
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  "condition": "E_brand_capability",
  "engine": "claude",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 47,
  "ms": 23613,
  "cr_urls": [],
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  "error": null,
  "answer": "I found information about CiteRank as an AI search visibility tool. Let me search for more specific pricing details.\nThe search results are showing information about other tools (SE Ranking, Scite, Rankability) but not the specific pricing for CiteRank. Let me search more specifically.\nI can see information about CiteRank's plan tiers (Starter, Professional, Business) and some features, but I haven't found the specific pricing yet. Let me try one more search.\nBased on my search results, I found information about CiteRank's plan tiers and features, but the specific pricing amounts are not visible in the search results. Let me provide you with what I found about the plan features:\n\nBased on the available information, CiteRank offers three plan tiers: **Starter, Professional, and Business**. While the specific pricing is not publicly listed in the search results, here's what is included at each plan level:\n\n## Plan Features:\n\n**All Plans Include:**\n\nCoverage across all major AI models: ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Google AI Overviews, Bing Copilot, Grok, Llama, Mistral, and Qwen\n\n- Daily AI visibility tracking\n- Competitor benchmarking\n- Content optimization suggestions\n- Technical optimization suggestions\n\n**Starter Plan:**\n- \n4 optimized articles/month\n\n- \nStandard support\n\n- \nExcludes crawler analytics\n\n\n**Professional Plan:**\n- \n30 optimized articles/month\n\n- \nPriority support and Crawler Analytics included\n\n\n**Business Plan:**\n- \nCustom volume of optimized articles\n\n- \nPriority support and Crawler Analytics included\n\n\n\nCiteRank evaluates up to 200 prompts / 20,000 responses depending on plan\n, and \ngenerates AI-ready, visibility-focused articles tailored to your category designed specifically to help you rank inside AI assistants\n.\n\nFor specific pricing information, you would need to visit the CiteRank website directly or contact them, as the exact dollar amounts are not displayed in their publicly available documentation.",
  "citations": [
   "https://citegist.com/pricing",
   "https://seranking.com/subscription.html",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://www.researchgate.net/publication/251757545_CiteRank_A_Google-inspired_ranking_algorithm_for_citation_networks",
   "https://en.wikipedia.org/wiki/Pricing",
   "https://en.wikipedia.org/wiki/BillMonitor",
   "https://arxiv.org/abs/physics/0612122",
   "https://citegist.com/pricing",
   "https://citerank.co/",
   "https://en.wikipedia.org/wiki/PriceSCAN",
   "https://www.capterra.com/p/142169/SE-Ranking/",
   "https://aeoengine.ai/blog/seranking-pricing-plans-alternatives",
   "https://www.rankability.com/pricing/",
   "https://toolradar.com/tools/scite/pricing",
   "https://aisotools.com/pricing/scite",
   "https://citerank.co/",
   "https://g2.com/products/trueranker/software_advice_form_fill/new",
   "https://businessbrim.gumroad.com/l/IihHQ",
   "https://www.g2.com/products/reportei/software_advice_form_fill/new",
   "https://www.g2.com/pt/products/proai/software_advice_form_fill/new",
   "https://block.fiverr.com/gigs/business-startup?page=13",
   "https://block.fiverr.com/gigs/business-planning",
   "https://brandinnovation.gumroad.com/l/BBlHn",
   "https://peterscribe16.gumroad.com/l/zbhjsh",
   "https://app.gohighlevel.com/v2/preview/j7BR1KQSp6WU080xyvIZ",
   "https://citerank.co/",
   "https://en.wikipedia.org/wiki/Pricesearcher",
   "https://en.wikipedia.org/wiki/Co-citation",
   "https://en.wikipedia.org/wiki/Eardex.com",
   "https://en.wikipedia.org/wiki/CiteSeerX",
   "https://en.wikipedia.org/wiki/CiteAb",
   "https://g2.com/products/trueranker/software_advice_form_fill/new",
   "https://arxiv.org/abs/physics/0612122",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/"
  ]
 },
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  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [
   "citerank deploy"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 6,
  "ms": 60258,
  "cr_urls": [
   "https://citerankscore.com/"
  ],
  "chars": 4556,
  "error": null,
  "answer": "**There are several similarly named tools (CiteRank / Citerank) in the AI search visibility, GEO/AEO, and citation-tracking space.** Pricing and features vary by product. Here are details from the main official sites (prices and inclusions can change, so check the sites directly for the latest).[[1]](https://citerank.co/)\n\n### CiteRank (citerank.co)\nThis focuses on daily multi-model tracking, competitor benchmarking, content/technical optimization, and automated article generation for AI platforms like ChatGPT, Claude, Gemini, Perplexity, and others.\n\n- **Professional** (most popular): **$249/month** (3-day free trial). Includes 2 websites, 6 trackers, 200 prompts / 20,000 responses, daily refresh, all AI providers, content and technical optimization, data-backed insights, 30 optimized articles/month, crawler analytics, and priority support.[[1]](https://citerank.co/)\n- **Business**: Custom pricing (book a demo). Includes custom/unlimited websites, trackers, prompts/responses, article volume, plus the above features.\n- A **Starter** tier is referenced in FAQs (1 website, 4 optimized articles/month, standard support, no crawler analytics) but is not listed with a public price on the main pricing section.[[1]](https://citerank.co/)\n\nCancel anytime; generated articles remain yours.\n\n### CiteRank (citerank.io)\nThis emphasizes evidence-based buyer-question testing across AI assistants, weekly rechecks, GEO profiles, and (on higher plans) hands-on optimization help.\n\n- **Free**: One complete first diagnostic/scan for one website (includes a site-wide plan, GEO Profile draft, and baseline; no ongoing monitoring or article generation).\n- **Starter Monitoring**: **$99/month** (7-day trial, then auto-renews). One website project, up to 20 active buyer questions, 6 AI platforms, weekly rechecks with evidence/screenshots, competitor analysis, prioritized to-do list, CSV export, and alerts.[[2]](https://citerank.io/)\n- **Pro GEO**: **$499/month** (7-day trial). Everything in Starter plus AI content generation, specialist-built/approved brand positioning profile, two expert optimization rounds per month (prioritized changes ready to publish), pre-launch review, and post-launch retesting.\n- **Managed GEO**: **$999/month** (7-day trial). Everything in Pro plus four expert rounds per month, full plan-to-final-draft delivery (copy, FAQ, structured data, links), and ongoing consistency upkeep.\n- Additional **$299 one-time** page upgrade (no trial) for drafting a brand profile and applying changes to 3\u20135 priority pages (plus 30 days of Starter monitoring).\n\n### Citerank (citerankscore.com)\nThis is an audit-and-fix platform scoring 35+ signals (schema, entities, crawlability, E-E-A-T, passages, etc.), with citation tracking and (on higher plans) WordPress deployment.\n\n- **Free**: 3 audits/month (no credit card); plus a free instant AI Visibility Score checker.\n- **Starter**: **$49/month**. 50 audits/month, Citation Tracker, Brand Intelligence, 5 monitored domains, WebMCP Generator. No white-label reports.[[3]](https://citerankscore.com/)\n- **Pro** (most popular): **$79/month**. Unlimited audits, all 30+ tools, 20 monitored domains, Site Crawler (100 pages), PDF reports. No white-label.\n- **Agency**: **$129/month**. Everything in Pro plus Citerank Deploy (push fixes to WordPress), public API (20 keys), white-label reports, unlimited domains, and client workspaces.\n\nCancel anytime; no credit card for the free tier.\n\n### CiteRank (citerankai.com)\nThis tracks citations across 7 AI engines and offers optimization tools (page analysis, schema generation, experiments). Pricing uses a base rate plus a performance bonus tied to citation improvements (capped at 3x the base; you pay only the base if citations do not grow).\n\nBase monthly rates are **$19, $49, or $124** depending on the plan (Growth/Pro plans add daily checks for some engines). Exact plan names and full inclusions are not fully detailed on the public homepage, but it includes citation tracking, AEO scoring, content intelligence, competitor gap analysis, and experiments. Setup takes under 5 minutes with no code required.[[4]](https://citerankai.com/)\n\nOther variants exist (e.g., a WordPress-focused plugin with a free plan, \u20ac19/month Pro, and \u20ac129/month Agency; AppSumo lifetime deals; or region-specific versions). If this doesn\u2019t match the specific Citerank you mean, share more details like a URL or feature for a more targeted lookup. Always verify current pricing and terms on the official site, as these tools are in a fast-moving category.",
  "citations": [
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.io/",
   "https://citerankscore.com/",
   "https://citerankai.com/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [
   "citerank deploy",
   "why not cited"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 5,
  "ms": 60350,
  "cr_urls": [
   "https://citerankscore.com/pricing.html"
  ],
  "chars": 3121,
  "error": null,
  "answer": "**Citerank** (citerankscore.com) is an AI search visibility / GEO platform. It has a free tier plus three paid plans. Pricing is listed as monthly (with an annual option that saves the equivalent of 2 months). There is a 30-day refund policy, no long-term contracts, and you can cancel anytime. No credit card is required for the free tier.[[1]](https://citerankscore.com/pricing.html)\n\n**Free**\n- 10 scans/month (shared across tools)\n- Citerank Score, full Page Auditor (11 sections), Schema Generator, Top 3 Quick Wins, llms.txt Generator\n- Limited API (10 requests/day, 1 key)\n- No Citation Tracker, Brand Intelligence, crawler, PDF reports, or white-label features\n\n**Starter \u2014 $49/month**\n- 50 audits/month\n- Citation Tracker (15 keywords)\n- Why Not Cited (20/month)\n- Site Crawler (5/month)\n- 5 Smart Agents (10 runs/month each)\n- 5 monitored domains\n- Weekly email digest\n- Domain Projects + history\n- WebMCP Generator\n- Limited API (100 requests/day, 3 keys)\n- No Brand Intelligence or white-label reports\n\n**Pro \u2014 $79/month** (most popular)\n- Unlimited audits\n- All 30+ tools\n- 20 monitored domains\n- Site Crawler (100 pages)\n- PDF + shareable reports\n- GSC AI Overview data\n- Competitor SOV tracking\n- Citation Monitoring (20 domains)\n- Brand Intelligence\n- Limited API (1,000 requests/day, 5 keys)\n- No white-label reports or client workspaces\n\n**Agency \u2014 $129/month**\n- Everything in Pro\n- Unlimited domains\n- White-label PDF reports\n- Client workspaces (white-label portal)\n- Scheduled client reports\n- Bulk site crawler\n- WordPress Integration plugin (Citerank Deploy for pushing schema/meta/fixes)\n- Public API (unlimited requests, 20 keys)\n- Webhook notifications\n- Up to 5 team seats\n- Priority support\n\nHigher plans add more monitoring, reporting, deployment, and agency/white-label capabilities. Features like Citation Tracker, Brand Intelligence, and Site Crawler scale with the plan.[[1]](https://citerankscore.com/pricing.html)\n\n**Note on similar products:** Several other tools use very similar names (CiteRank / Citerank) in the AI citation/GEO space, with different pricing:\n\n- **citerank.co**: Professional plan at $249/month (2 websites, 6 trackers, 200 prompts/20,000 responses, daily refresh, 30 optimized articles, crawler analytics, priority support). Business is custom. FAQ mentions a lower Starter plan (1 website, 4 articles/month). 3-day free trial.[[2]](https://citerank.co/)\n- **citerank.io**: Free (one diagnostic scan). Starter Monitoring $99/month, Pro GEO $499/month, Managed GEO $999/month (7-day trial on paid plans). There is also a $299 one-time page upgrade. Higher tiers add more hands-on optimization, content generation, and managed work.[[3]](https://citerank.io/)\n- **citerankai.com**: Base rates of $19, $49, or $124/month plus an optional performance bonus (tied to citation growth, capped at 3x the base rate). You pay only the base if results don\u2019t improve.[[4]](https://citerankai.com/)\n\nPrices and inclusions can change, so check the official site for the specific product you\u2019re considering. The details above come from the vendors\u2019 current public pricing pages.",
  "citations": [
   "https://citerankscore.com/pricing.html",
   "https://citerankscore.com/pricing.html",
   "https://citerank.co/",
   "https://citerank.io/",
   "https://citerankai.com/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "What does Citerank cost, and what is included at each plan level?",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
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  "ms": 63491,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/pricing.html"
  ],
  "chars": 4030,
  "error": null,
  "answer": "**There are several distinct products named CiteRank or Citerank** (mostly AI search visibility / GEO tools for tracking citations in ChatGPT, Perplexity, Gemini, and similar). Pricing and features vary by site. Here are the main ones with publicly listed plans:[[1]](https://citerank.co/)\n\n### CiteRank (citerank.co)\nThis focuses on daily multi-model tracking, competitor benchmarking, content/technical optimization, and automated article generation. It has a 3-day free trial on the Professional plan. A Starter tier is referenced in FAQs (1 website, 4 optimized articles/month, standard support, no crawler analytics) but is not listed with a public price on the homepage.[[1]](https://citerank.co/)\n\n- **Professional** ($249/month): 2 websites, 6 trackers, 200 prompts / 20,000 responses, daily refresh, every major AI provider, content optimization, technical optimization, data-backed insights, 30 optimized articles/month, crawler analytics, and priority support.\n- **Business** (custom pricing; book a demo): Custom number of websites/trackers/prompts, daily refresh, all AI providers, optimizations, custom article volume, crawler analytics, and priority support. Unlimited websites on this tier.\n\nYou can cancel anytime; generated articles remain yours.[[1]](https://citerank.co/)\n\n### Citerank (citerankscore.com)\nThis emphasizes audits of 35+ signals (schema, entity clarity, crawlability, E-E-A-T, etc.), citation tracking, schema/llms.txt generation, and (on higher plans) WordPress deployment. Free tier requires no credit card. Annual billing saves 2 months; 30-day refund available.[[2]](https://citerankscore.com/)\n\n- **Free**: ~3\u201310 audits/month (page audits, schema generator, llms.txt generator); no citation tracker or PDF exports.\n- **Starter** ($49/month): 50 audits/month, 5 monitored domains, citation tracker (limited keywords), WebMCP generator, site crawler (limited), weekly digest. No brand intelligence or white-label.\n- **Pro** ($79/month, most popular): Unlimited audits, all 30+ tools, 20 monitored domains, site crawler (100 pages), PDF/shareable reports, competitor share-of-voice, GSC AI Overview data. No white-label.\n- **Agency** ($129/month): Everything in Pro + white-label reports, unlimited domains, WordPress deploy/plugin, public API (20 keys), client workspaces, team seats (up to 5), webhooks, and priority support.\n\nA detailed feature comparison table is available on their pricing page.[[3]](https://citerankscore.com/pricing.html)\n\n### CiteRank (citerank.io)\nThis centers on buyer-question testing across AI models, evidence collection, GEO profiles, and (on higher plans) expert optimization/help with page changes. Free accounts get one limited diagnostic scan. Paid plans have a 7-day trial (card required). There\u2019s also a $299 one-time page upgrade option.[[4]](https://citerank.io/)\n\n- **Starter Monitoring** ($99/month): 1 website, up to 20 active buyer questions, weekly rechecks, competitor analysis, cited-source insights, exports, and alerts.\n- **Pro GEO** ($499/month): Everything in Starter + AI content generation, specialist brand-profile help, two expert optimization rounds/month (prioritized changes + pre/post-launch checks).\n- **Managed GEO** ($999/month): Everything in Pro + four optimization rounds/month, full copy/FAQ/schema delivery (you just publish), and ongoing consistency upkeep.\n\n### Other similar tools\n- **citerankai.com**: Base rates around $19 / $49 / $124 per month plus a performance bonus (capped at 3x base) tied to citation improvements. Monitors multiple AI engines with optimization tools.[[5]](https://citerankai.com/)\n- AppSumo listing and a WordPress-focused version (digitalservices.ie) have free tiers plus paid plans starting around \u20ac19\u2013$129/month with varying audit/tracking/deploy features.\n\nPrices and inclusions can change; check the official sites for the latest (including any trials, annual discounts, or custom quotes). If this doesn\u2019t match the specific Citerank you mean, share the URL or more details for a closer look.",
  "citations": [
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerankscore.com/",
   "https://citerankscore.com/pricing.html",
   "https://citerank.io/",
   "https://citerankai.com/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [
   "why not cited",
   "agentic readiness"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 20,
  "ms": 4417,
  "cr_urls": [
   "https://citerankscore.com/about.html",
   "https://citerankscore.com/tools",
   "https://citerankscore.com/tools/google-ai-overview-checker.html"
  ],
  "chars": 970,
  "error": null,
  "answer": "Citerank offers **42 free tools** on its tools page, covering AI search citation optimization and visibility workflows.[1] The specific tools named in the provided results include:\n\n- **Most Popular AI Citation Checker**[1]\n- **AI Visibility Score**[1]\n- **llms.txt Validator**[1]\n- **Why Not Cited**[1]\n- **Google AI Overview Checker**[10]\n\nThe broader product descriptions also indicate Citerank includes tools/features for:\n\n- **Citation tracking** across AI engines[8][9][16]\n- **Brand intelligence** and **entity clarity**[8]\n- **Passage analysis** / content chunk analysis[8]\n- **AI rank tracking**[8]\n- **Schema generation** / JSON-LD generation[8][13]\n- **Competitor benchmarking** and **share-of-voice** analysis[8][9][16]\n- **AI visibility audits**[4][11][13][15]\n- **Agentic readiness** checks[4][13]\n- **Agent journey simulation**[13]\n\nIf you want, I can also turn this into a clean **full tool list** by extracting every named tool visible from the results.",
  "citations": [
   "https://citerankscore.com/tools",
   "https://citerank.com/",
   "https://citerank.io/",
   "https://glama.ai/mcp/connectors/io.github.WebforMike/citerank",
   "https://citerank.co/",
   "https://www.getapp.com/all-software/a/citerank/",
   "https://www.citerank.in/",
   "https://citerankscore.com/about.html",
   "https://www.citerank.in/about",
   "https://citerankscore.com/tools/google-ai-overview-checker.html",
   "https://appsumo.com/products/citerank/",
   "https://citerank.io/ai-search-visibility-tools",
   "https://mcpservers.org/tr/servers/citerankscore-com-mcp-docs-html",
   "https://citerank.io/beta",
   "https://citerank.dev/",
   "https://citerankai.com/",
   "https://citerank.io/pricing",
   "https://www.g2.com/sellers/citerank",
   "https://hyzenpro.com/fi/ai-tools-directory/ai-marketing-tools/citerank/",
   "https://github.com/elifesciences/citerank"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [
   "why not cited",
   "agentic readiness"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 20,
  "ms": 5579,
  "cr_urls": [
   "https://citerankscore.com/about.html",
   "https://citerankscore.com/tools",
   "https://citerankscore.com/tools/google-ai-overview-checker.html"
  ],
  "chars": 1601,
  "error": null,
  "answer": "Citerank offers **42 free AI search visibility tools** on its tools page, covering citation optimization, schema, readiness, and competitor analysis.[1] The page also says the **41 tools above are free, standalone entry points** into Citerank\u2019s capabilities.[1]\n\nThe tools explicitly named in the provided results include:\n\n- **Most Popular AI Citation Checker** \u2014 checks whether your website appears as a cited source in AI answers such as Google AI Overviews, ChatGPT, Perplexity, Grok, and Bing AI, keyword by keyword.[1]\n- **AI Visibility Score** \u2014 gives a composite 0\u2013100 score across citation rate, schema coverage, entity strength, llms.txt readiness, bot access, and content signals.[1]\n- **llms.txt Validator** \u2014 validates your llms.txt against the official spec and gives a letter grade plus prioritized fixes.[1]\n- **Why Not Cited** \u2014 diagnoses the root causes of why AI engines do not cite your website.[1]\n- **Google AI Overview Checker** \u2014 checks whether an AI Overview is present for a keyword and lists the domains cited in the AI-generated answer.[10]\n\nOther Citerank capabilities mentioned in the results include:\n\n- **Full AI visibility audit** of a URL.[4][13]\n- **Brand/domain citation checking** in AI-generated answers.[4][13]\n- **Schema generation** / JSON-LD generation.[4][13]\n- **Agentic readiness checking** for AI agent interactions.[4][13]\n- **AI agent journey simulation**.[13]\n- **Citation tracking**, **share of voice**, and **competitor analysis** across AI engines.[8][9][16]\n\nIf you want, I can also turn this into a clean table of the tools and what each one does.",
  "citations": [
   "https://citerankscore.com/tools",
   "https://citerank.com/",
   "https://citerank.io/",
   "https://glama.ai/mcp/connectors/io.github.WebforMike/citerank",
   "https://citerank.co/",
   "https://www.getapp.com/all-software/a/citerank/",
   "https://www.citerank.in/",
   "https://citerankscore.com/about.html",
   "https://www.citerank.in/about",
   "https://citerankscore.com/tools/google-ai-overview-checker.html",
   "https://appsumo.com/products/citerank/",
   "https://citerank.io/ai-search-visibility-tools",
   "https://mcpservers.org/tr/servers/citerankscore-com-mcp-docs-html",
   "https://citerank.io/beta",
   "https://citerank.dev/",
   "https://citerankai.com/",
   "https://citerank.io/pricing",
   "https://www.g2.com/sellers/citerank",
   "https://hyzenpro.com/fi/ai-tools-directory/ai-marketing-tools/citerank/",
   "https://github.com/elifesciences/citerank"
  ]
 },
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  "condition": "E_brand_capability",
  "engine": "perplexity",
  "prompt": "What tools does Citerank offer? List them.",
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  "controls": [
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   "agentic readiness"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 20,
  "ms": 3699,
  "cr_urls": [
   "https://citerankscore.com/tools",
   "https://citerankscore.com/tools/google-ai-overview-checker.html"
  ],
  "chars": 1254,
  "error": null,
  "answer": "CiteRank offers a set of **free AI search visibility tools**, plus its broader **AI visibility audit and monitoring platform**. From the results provided, the tools/features explicitly named are these[1][4][6][10][13][16].\n\n- **AI Citation Checker**[1]\n- **AI Visibility Score**[1]\n- **llms.txt Validator**[1]\n- **Why Not Cited**[1]\n- **Google AI Overview Checker**[9]\n- **AI Visibility Report**[12]\n- **AI visibility audit** / **URL audit**[4][10][13]\n- **Brand citation tracking**[4][13][16]\n- **Schema generation**[13][10]\n- **Agentic readiness check**[13][4]\n- **Agent journey simulation**[13]\n- **Page optimization**[16]\n- **Competitor gap analysis**[16]\n- **Content optimization**[5]\n- **Technical optimization**[5]\n- **Crawler analytics**[5]\n- **Optimized article generation**[5]\n- **Crawler analytics**[5]\n\nThe most detailed tool list in the results is the \u201c42 free tools\u201d page, which says there are **42 free tools covering AI search citation optimization** and notes that the items above are standalone entry points into CiteRank\u2019s capabilities[1]. The MCP documentation also names specific tool actions such as **analyze URL**, **check brand citations**, **generate schema**, **check agentic readiness**, and **simulate agent journey**[4][13].",
  "citations": [
   "https://citerankscore.com/tools",
   "https://citerank.com/",
   "https://citerank.io/",
   "https://glama.ai/mcp/connectors/io.github.WebforMike/citerank",
   "https://citerank.co/",
   "https://www.getapp.com/all-software/a/citerank/",
   "https://www.citerank.in/",
   "https://www.citerank.in/about",
   "https://citerankscore.com/tools/google-ai-overview-checker.html",
   "https://appsumo.com/products/citerank/",
   "https://citerank.io/ai-search-visibility-tools",
   "https://citerank.co/free-tools/ai-visibility-report",
   "https://mcpservers.org/tr/servers/citerankscore-com-mcp-docs-html",
   "https://citerank.io/beta",
   "https://citerank.dev/",
   "https://citerankai.com/",
   "https://citerank.io/pricing",
   "https://www.g2.com/sellers/citerank",
   "https://hyzenpro.com/fi/ai-tools-directory/ai-marketing-tools/citerank/",
   "https://github.com/elifesciences/citerank"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [
   "citerank deploy",
   "why not cited",
   "agentic readiness"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
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  "ms": 7098,
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  "answer": "You\u2019re likely referring to **CiteRank**, the AI-powered platform for monitoring and optimizing AI search visibility, not the older bibliometric algorithm or citations-of-citations \"CiteRank\" used in academic contexts. Assuming that\u2019s the case, here are the tools offered by **CiteRank** (sometimes stylized as \"Citerank\" or \"CiteRank AI\"), drawing from the official platform and documentation:\n\n---\n\n\u2022 Page Auditor \u2014 Conducts full AI visibility audits across multiple signals including schema, entity clarity, AI crawlability, passage structure, llms.txt, E\u2011E-A\u2011T, and more([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 Citation Tracker (AI Citation & Rank Tracker) \u2014 Tracks citation rank positions and share-of-voice across AI platforms like ChatGPT, Gemini, Perplexity, and Google AI Overviews([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 Brand Intelligence \u2014 Reveals how AI systems identify and describe your brand, including consistency and entity clarity([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 Schema Generator \u2014 Automatically generates JSON\u2011LD structured data optimized for AI consumption([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 WebMCP Generator \u2014 Produces `.well-known/mcp.json` manifests and enhancement manifests (MCP) for AI agents([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 llms.txt Generator \u2014 Creates AI crawler instruction files for your site([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 Agentic Readiness \u2014 Evaluates readiness for AI agents through agent compatibility chains and related signals([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 Site Crawler \u2014 Performs full site audits (available on Pro plan)([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 Citerank Deploy \u2014 Enables direct deployment of fixes (e.g., schema, meta tags) to WordPress without leaving the platform([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 Brand Radar \u2014 Sends alerts on citation rank drops or competitor movement, with weekly digest emails or Slack integration([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 AI Visibility Score (Citerank Score) \u2014 Aggregates a composite AI visibility score across multiple signals([citerankscore.com](https://citerankscore.com/?utm_source=openai)).  \n\u2022 AI Citation Checker / Free Tools \u2014 Includes free, no-signup diagnostics like AI Citation Checker, AI Visibility Score, llms.txt Validator, Google AI Overview Checker, Why Not Cited? diagnostics, Schema Markup for AI, AI Citation Leaderboard([citerankscore.com](https://citerankscore.com/?utm_source=openai)).\n\n---\n\nAdditionally, through **CiteRank\u2019s API/MCP interface**, the following tools are exposed for automation or integration with AI agents:\n\n\u2022 `citerank_analyze_url` \u2014 Performs a full AI visibility audit on a given URL (schema, citation score, E\u2011E\u2011A\u2011T, agentic readiness, prioritized issues)([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).  \n\u2022 `citerank_check_brand_citations` \u2014 Checks whether a domain or brand is cited by AI engines, with metrics like citation rate, share-of-voice, and top queries([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).  \n\u2022 `citerank_generate_schema` \u2014 Generates JSON-LD schema for a given URL([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).  \n\u2022 `citerank_check_agentic_readiness` \u2014 Evaluates how ready a site is for AI agent interactions (MCP endpoint, WebMCP, llms.txt, potentialAction schema, etc.)([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).  \n\u2022 `citerank_simulate_agent_journey` \u2014 Simulates an AI agent\u2019s journey through your site and reports specific failure points and recommended fixes([mcpservers.org](https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai)).\n\n---\n\nSummary list of **CiteRank / Citerank tools**:\n\n\u2022 Page Auditor  \n\u2022 AI Citation & Rank Tracker  \n\u2022 Brand Intelligence  \n\u2022 Schema Generator  \n\u2022 WebMCP Generator  \n\u2022 llms.txt Generator  \n\u2022 Agentic Readiness Checker  \n\u2022 Site Crawler  \n\u2022 Citerank Deploy (WordPress integration)  \n\u2022 Brand Radar alerts  \n\u2022 AI Visibility Score / Citerank Score  \n\u2022 Free diagnostic tools (AI Citation Checker, Why Not Cited?, etc.)\n\n**API/MCP Tools**:\n\n\u2022 Analyze URL audit (`citerank_analyze_url`)  \n\u2022 Check brand citations (`citerank_check_brand_citations`)  \n\u2022 Generate schema (`citerank_generate_schema`)  \n\u2022 Check agentic readiness (`citerank_check_agentic_readiness`)  \n\u2022 Simulate agent journey (`citerank_simulate_agent_journey`)\n\n---\n\nLet me know if you'd like more detail about any specific tool!",
  "citations": [
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai",
   "https://mcpservers.org/id/servers/citerankscore-com-mcp-docs-html?utm_source=openai"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 8447,
  "cr_urls": [],
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  "error": null,
  "answer": "Here are the tools and capabilities offered by **CiteRank**, an AI-powered platform designed for tracking and optimizing how AI search engines cite and represent your brand:\n\nFrom the official CiteRank features page, the platform provides the following **12 core features** ([citerankai.com](https://citerankai.com/features?utm_source=openai)):\n\n1. **Citation Tracking** \u2013 Monitors how AI engines (OpenAI, Claude, Gemini, Perplexity, Grok, and Google) mention your brand and cite your sources.\n2. **AEO Score** \u2013 Measures your Answer Engine Optimization performance (i.e., how often AI assistants cite your brand when answering questions).\n3. **Competitor Gap Analysis** \u2013 Identifies where competitors are cited by AI but your brand is not, uncovering content gaps.\n4. **Page Optimization** \u2013 Analyzes content structure, evidence density, schema markup, and topical authority to improve AI visibility.\n5. **Schema Generator** \u2013 Automatically generates AI-optimized JSON-LD structured data (e.g., FAQ, Article, Product) to help AI accurately extract your content.\n6. **Citation Experiments** \u2013 Runs before/after tests to measure the impact of optimizations on AI citation rates.\n7. **Trend Analytics** \u2013 Visualizes citation trends over time, showing the effects of optimization efforts.\n8. **Source Attribution** \u2013 Tracks which URLs AI models cite and helps distinguish between owned vs. third-party sources.\n9. **Content Intelligence** \u2013 Uses prompt reverse-engineering to discover what queries are driving AI citations in your industry and where you should be cited.\n10. **Citation Alerts** \u2013 Notifies you when citation rates change, such as new mentions, lost citations, or competitor gains.\n11. **Automated Monitoring** \u2013 Performs ongoing scheduled tracking across all supported AI engines.\n12. **API & Integrations** \u2013 Offers REST API access and integrates with tools like Slack and Jira for seamless workflows.\n\nIn addition, the CiteRank platform also helps you:\n\n- Run your configured prompts (queries) across multiple AI engines\u2014OpenAI, Claude, Gemini, Perplexity, Grok, Google AI Overviews, and AI Mode\u2014and analyze each response for brand mentions and citations ([citerankai.com](https://citerankai.com/features?utm_source=openai)).\n- Measure and improve how AI assistants recommend your brand, including tracking recommendation share, citation intensity, and building a dashboard for AI visibility intelligence ([citerank.in](https://www.citerank.in/?utm_source=openai)).\n\nTo summarize, **CiteRank provides these tools and capabilities**:\n\n\u2022 Multi\u2011engine citation tracking (OpenAI, Claude, Gemini, Perplexity, Grok, Google AI)  \n\u2022 AEO scoring (Answer Engine Optimization metric)  \n\u2022 Gap analysis vis-\u00e0-vis competitors  \n\u2022 Page-level optimization (evidence, structure, schema, authority)  \n\u2022 Auto-generated structured data (JSON-LD)  \n\u2022 Citation experiments for testing and impact measurement  \n\u2022 Trend analysis and alerts for real-time tracking  \n\u2022 Source attribution analysis (owned vs. third-party citations)  \n\u2022 Content intelligence via prompt-based insight  \n\u2022 Automated, recurring AI visibility monitoring  \n\u2022 Integration via API and workflow connectors (Slack, Jira)\n\nLet me know if you'd like to explore any of these tools further or see examples of how they work!",
  "citations": [
   "https://citerankai.com/features?utm_source=openai",
   "https://citerankai.com/features?utm_source=openai",
   "https://www.citerank.in/?utm_source=openai"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "openai",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
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  "ms": 7028,
  "cr_urls": [],
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  "error": null,
  "answer": "Here\u2019s what CiteRank offers, according to its website and documentation:\n\nCiteRank provides a suite of features that help companies monitor and optimize how AI-based search systems (like ChatGPT, Gemini, Perplexity, Claude, Grok, and DeepSeek) present their brand. Its key tools and capabilities include:\n\n\u2022 AI Answer Monitoring  \n\u2013 Tests how real buyer questions are answered by AI systems, checking whether they mention your brand, competitors, or neither ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Error Detection in AI Outputs  \n\u2013 Identifies incorrect or incomplete statements from AI about your features, pricing, use cases, and limitations ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Buyer Question Analysis  \n\u2013 Groups actual customer questions by use case, comparisons, price concerns, and purchase stage ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Competitive Visibility Review  \n\u2013 Highlights the pages, directories, reviews, docs, and community sources that AI cites and where your competitors appear instead of you ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Page-Level Action Guidance  \n\u2013 Identifies exactly which page and section to update, and what types of content (facts, FAQs, schema, internal links, proof, etc.) are missing ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Weekly Rechecks  \n\u2013 Reuses the same set of buyer questions and rechecks them weekly to track progress in AI visibility ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 GEO (Generative Engine Optimization) Profile Builder  \n\u2013 Helps define and store your product facts, ideal customer profile (ICP), use cases, proof points, and competitors in an editable GEO Profile; checks consistency across web, directories, reviews, and public profiles ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Complete Scan Capabilities  \n\u2013 Conducts integrated diagnostics of AI answers, competitor visibility, source citations, and prioritized action steps in one scan ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Cited Sources Tracking  \n\u2013 Lists AI-cited pages, sources such as directories, docs, reviews; includes info on contact path, fit, risk, and approval requirements ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Prioritized Next Actions  \n\u2013 Delivers ranked lists of page or evidence fixes by impact and effort, along with source outreach drafts ([citerank.io](https://citerank.io/?utm_source=openai)).\n\nTiered plans provide additional tools and services:\n\n\u2022 Starter Plan ($99/month)  \n\u2013 Monitors one site, up to 20 buyer questions; weekly rechecks; competitor analysis; exportable to-do list ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Pro Plan ($499/month)  \n\u2013 Includes Starter features plus AI content generation (comparisons, FAQs, article drafts), specialist-reviewed monthly optimization rounds, implementation review, and rechecking ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 Managed Plan ($999/month)  \n\u2013 Adds four optimization rounds per month, full page copy and structured data delivery, public-channel consistency upkeep, and detailed before-and-after reports ([citerank.io](https://citerank.io/?utm_source=openai)).\n\n\u2022 One-Time Foundation Service ($299)  \n\u2013 Creates an initial GEO Profile, applies it to priority page upgrades, and includes 30 days of Starter Monitoring. Covers 3\u20135 pages, includes change lists, content blocks, schema guidance, internal links, source gaps, and weekly rechecks post-launch ([citerank.io](https://citerank.io/?utm_source=openai)).\n\nIn summary, CiteRank's tools include:\n\n1. AI answer testing and brand mention analysis  \n2. Error detection and content accuracy checks  \n3. Buyer question segmentation by purchase intent  \n4. Competitor citation tracking  \n5. Page- and section-level update recommendations  \n6. Repeated monitoring with weekly checks  \n7. GEO Profile creation and consistent brand messaging  \n8. Cited source tracking with outreach guidance  \n9. Prioritized action plans  \n10. Tiered subscription plans, each unlocking more operational support and AI-generated content  \n11. A one-time foundational service for quick brand alignment and page improvement\n\nLet me know if you'd like more detail about any specific tool or plan!",
  "citations": [
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   "https://citerank.io/?utm_source=openai",
   "https://citerank.io/?utm_source=openai",
   "https://citerank.io/?utm_source=openai",
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   "https://citerank.io/?utm_source=openai",
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   "https://citerank.io/?utm_source=openai",
   "https://citerank.io/?utm_source=openai",
   "https://citerank.io/?utm_source=openai",
   "https://citerank.io/?utm_source=openai",
   "https://citerank.io/?utm_source=openai"
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 },
 {
  "condition": "E_brand_capability",
  "engine": "gemini",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [
   "why not cited"
  ],
  "cited_site": false,
  "cited_llmstxt": false,
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  "answer": "CiteRank is an **Answer Engine Optimization (AEO)** and **Generative Engine Optimization (GEO)** platform designed to help brands track and improve their visibility in AI-generated search results (such as ChatGPT, Claude, Gemini, and Perplexity).\n\nThe platform offers a suite of specialized tools categorized into free diagnostic utilities and a core dashboard for managed execution.\n\n### **1. Free AI Visibility Tools**\nCiteRank provides several standalone tools to quickly assess a website\u2019s \"AI-readiness\":\n*   **AI Citation Checker:** Tracks whether your brand appears as a cited source in models like ChatGPT, Perplexity, and Google AI Overviews for specific keywords.\n*   **AI Visibility Score:** A 0\u2013100 composite score that evaluates your site across six dimensions: citation rate, schema coverage, entity strength, bot access, `llms.txt` readiness, and content signals.\n*   **llms.txt Validator:** Validates your site\u2019s `llms.txt` file (the standard for AI crawlers) against official specifications and provides a prioritized list of fixes.\n*   **\"Why Not Cited\" Diagnostic:** A root-cause analysis tool that scans content and technical signals to explain why AI engines are ignoring your site and how to fix it.\n*   **Google AI Overview Checker:** Specifically monitors Google\u2019s Search Generative Experience (SGE) to see which domains are winning citations for target queries.\n*   **Schema Markup Auditor:** Audits structured data (JSON-LD) and generates the exact code needed for AI assistants to \"understand\" your business as an entity.\n*   **AI Citation Leaderboard:** A share-of-voice tool that shows which domains dominate citations for specific industries or topics.\n\n### **2. Core Platform & Execution Tools**\nFor paid subscribers and those in the private beta, CiteRank offers tools to automate the optimization process:\n*   **AI-First Content Writer:** Automatically writes articles designed to answer the specific \"buyer questions\" that AI models look for, filling known citation gaps.\n*   **One-Click WordPress Deployment:** A tool that pushes generated content, schema fixes, and AI-specific files directly to your WordPress site.\n*   **Competitor Gap Analysis:** Identifies specific sources (Reddit, news sites, or competitor blogs) that AI models are citing instead of you and provides a roadmap to displace them.\n*   **Daily Multi-Model Monitoring:** Provides a dated record of how AI answers change over time, allowing you to see exactly when an optimization \"lands.\"\n*   **Agentic Auditor:** An automated scanner that mimics an AI crawler to find \"non-citation\" reasons such as formatting issues or lack of authoritative signals (E-E-A-T).\n\n### **3. Integration Tools**\n*   **Slack & Jira Integrations:** Sends citation alerts and technical \"fix\" recommendations directly to your team\u2019s existing workflows.\n*   **Analytics Dashboard:** Connects citation data to traditional business outcomes to track how being cited by AI impacts traffic.",
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  "engine": "gemini",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [
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  "answer": "CiteRank is an **Answer Engine Optimization (AEO)** and AI Search Visibility platform designed to help brands get cited by AI assistants like ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.\n\nIts offerings are divided between free diagnostic tools and a comprehensive paid dashboard. Below is a list of the core tools and features CiteRank offers:\n\n### **1. Core Diagnostic Tools (Public/Free)**\nThese are the primary entry-level tools used to assess a website's current standing in AI search:\n*   **AI Citation Checker:** Checks if your website appears as a cited source for specific keywords across major AI engines (ChatGPT, Perplexity, Grok, etc.).\n*   **AI Visibility Score:** A composite 0\u2013100 score that evaluates your brand across dimensions like citation rate, schema coverage, entity strength, and bot access.\n*   **llms.txt Validator:** Validates your website\u2019s `llms.txt` file (a standard for AI crawlers) against official specifications and provides a prioritized list of fixes.\n*   **\"Why Not Cited?\" Diagnostic:** A root-cause analysis tool that audits bot access, schema, and content structure to determine why AI engines are skipping your site.\n*   **Google AI Overview Checker:** Specifically monitors if your brand is appearing in Google\u2019s AI-generated search results and identifies which competitors are winning those spots.\n*   **Schema Markup Auditor:** Checks for missing or incorrect structured data (JSON-LD) and generates ready-to-paste code for FAQPage, Article, and Organization schemas.\n*   **AI Citation Leaderboard:** A share-of-voice tool where you can enter a topic to see which domains dominate AI search citations for that specific category.\n\n### **2. Optimization & Content Tools (Inside the Dashboard)**\nThese tools are part of the paid platform and are used to actively improve rankings:\n*   **Automated Article Generation:** Writes \"answer-first\" articles designed specifically to be quoted by AI models. These articles address \"citation gaps\" where your competitors are currently winning.\n*   **Page Optimization Tool:** Analyzes existing pages for \"evidence density\" (data points, quotes, stats) and structural signals that AI crawlers prioritize.\n*   **Content Intelligence:** Identifies the specific buyer questions and prompts that currently surface your competitors, helping you map out a content strategy.\n*   **Agentic Auditor:** An automated crawler that scans your site\u2019s markup and signals to provide a \"site-wide fix plan.\"\n\n### **3. Monitoring & Deployment Tools**\n*   **Live Citation Tracking:** Daily monitoring of citations across six major AI engines (ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI).\n*   **AI Search Mention Alerts:** Real-time notifications when your brand is mentioned or when a competitor takes a citation spot you previously held.\n*   **Crawler Analytics:** Insights into how AI bots interpret your site structure and where they struggle to extract data.\n*   **One-Click Deployment:** A WordPress integration that allows you to push generated schema and `llms.txt` files directly to your site without manual coding.\n*   **AI Visibility Reports:** Detailed reports for SaaS and B2B teams that tie AI answer gaps to specific buyer questions, cited sources, and recommended actions.",
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  "prompt": "What tools does Citerank offer? List them.",
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  "answer": "CiteRank offers a suite of tools specifically designed for **Answer Engine Optimization (AEO)** and **Generative Engine Optimization (GEO)**. These tools help businesses monitor, diagnose, and improve their visibility within AI-driven search engines like ChatGPT, Claude, Gemini, and Perplexity.\n\nBelow is a list of the core tools and features offered by CiteRank:\n\n### **1. Monitoring & Tracking Tools**\n*   **AI Citation Tracker:** Monitors daily or weekly visibility across major AI engines (ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews) to see if your brand is being cited.\n*   **Competitor Share of Voice:** Tracks how often your competitors are recommended compared to your brand for specific buyer questions.\n*   **AEO Score:** A proprietary metric that measures your site's \"citation readiness\" and visibility trends over time.\n*   **Answer Evidence Capture:** Records the actual text and sources AI systems use to answer questions, so you can see exactly what is being said about you or your rivals.\n\n### **2. Content & Optimization Tools**\n*   **AI-Optimized Article Generator:** Writes and publishes articles specifically structured to be easily \"read\" and quoted by AI models (e.g., using direct-answer blocks and fact-dense sections).\n*   **Page Optimizer:** Analyzes existing URLs to identify content gaps, missing product facts, or formatting issues that prevent AI systems from citing the page.\n*   **Buyer Question Mapper:** Identifies the specific questions real users ask AI assistants at different stages of the buying journey (e.g., comparisons, pricing, or use cases).\n*   **Citation Experiments:** Tools for A/B testing content changes to see which specific edits actually move the needle in AI recommendations.\n\n### **3. Technical SEO & AEO Tools**\n*   **Schema Generator & Auditor:** Creates and audits structured data specifically designed to help AI crawlers parse your business details accurately.\n*   **llms.txt Validator:** A tool to check and validate your `llms.txt` file, which is a burgeoning standard for telling AI models which parts of your site to prioritize.\n*   **Crawler Analytics:** Shows how AI-specific crawlers (like those from OpenAI or Perplexity) interpret your site structure and where they might be struggling.\n*   **One-Click WordPress Deployment:** A plugin/integration that allows you to push optimized content, schema, and AI files directly to your WordPress site from the CiteRank dashboard.\n\n### **4. Diagnostic & Reporting Tools**\n*   **Root-Cause Analysis:** A diagnostic tool that explains *why* a competitor was chosen over you (e.g., lack of source coverage, poor formatting, or inconsistent facts).\n*   **GEO Profile Builder:** Helps you define a consistent \"identity\" (category, audience, and pricing) for your brand to ensure all AI engines describe you the same way.\n*   **AI Visibility Reports:** Comprehensive reports that summarize your citation gaps, prioritized \"next steps,\" and the impact of recent optimizations.",
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  "condition": "E_brand_capability",
  "engine": "claude",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [],
  "cited_site": false,
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  "ms": 9425,
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  "error": null,
  "answer": "Based on the search results, I found information about CiteRank (citerank.io and citerank.co), which appears to be an AI search visibility tool. Here are the tools that CiteRank offers:\n\n## CiteRank Tools:\n\n\nCiteRank offers over 40 tools that track live citations across 6 AI engines, diagnose why you're not cited, and deploy schema + AI files directly to WordPress in one click\n.\n\nKey features include:\n\n1. **AI Citation Tracking** - \nMonitors how ChatGPT, Perplexity, Claude, Gemini, Grok, Bing Copilot, DeepSeek and other AI systems recommend your brand versus competitors\n\n\n2. **Source Analysis** - \nLists the sources behind AI answers and tells you what to fix first\n\n\n3. **Trackers** - \nDaily evaluation runs that test prompts across multiple AI models every 24 hours to monitor visibility for different use cases, categories, features, or competitor sets\n\n\n4. **Content Generation** - \nGenerates AI-ready, visibility-focused articles tailored to your category, missing topics, and page-level gaps\n\n\n5. **Gap Analysis** - \nIdentifies missing keywords, unclear value propositions, and content gaps holding you back from ranking\n\n\n6. **Reporting** - \nProvides a plain-language report plus a ranked list of next steps",
  "citations": [
   "https://www.sciencedaily.com/releases/2011/05/110503132959.htm",
   "https://dl.acm.org/doi/10.1504/IJITST.2011.039776",
   "https://www.researchgate.net/publication/251757545_CiteRank_A_Google-inspired_ranking_algorithm_for_citation_networks",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.io/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "claude",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [],
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  "ms": 8989,
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  "error": null,
  "answer": "Based on the search results, I found information about CiteRank, which appears to be an AI search visibility tool. Here are the tools that CiteRank offers:\n\n\nCiteRank offers 40+ tools\n focused on AI search optimization. The main features include:\n\n1. **AI Citation Tracking** - \nTrack live citations across 6 AI engines\n including ChatGPT, Perplexity, Claude, and Gemini\n\n2. **Competitor Analysis** - \nShows where AI recommends competitors, lists the sources behind those answers, and tells you what to fix first\n\n\n3. **Source Analysis** - \nShows which sources like Reddit, LinkedIn, Wikipedia, YouTube, and Medium matter before you spend time on the wrong work\n\n\n4. **Daily Trackers** - \nEach tracker contains a set of prompts that CiteRank tests across multiple AI models every 24 hours\n\n\n5. **AI-Optimized Content Generation** - \nGenerates AI-ready, visibility-focused articles tailored to your category, missing topics, and page-level gaps\n\n\n6. **Schema & AI File Deployment** - \nDeploy schema + AI files directly to WordPress in one click\n\n\n7. **Gap Analysis** - \nIdentify missing keywords, unclear value propositions, and content gaps\n\n\nThe platform is designed to help brands improve their visibility in AI-generated search results rather than traditional Google search rankings.",
  "citations": [
   "https://www.sciencedaily.com/releases/2011/05/110503132959.htm",
   "https://dl.acm.org/doi/10.1504/IJITST.2011.039776",
   "https://www.researchgate.net/publication/251757545_CiteRank_A_Google-inspired_ranking_algorithm_for_citation_networks",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://citerank.io/",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://citerank.co/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "claude",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [],
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  "ms": 8576,
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  "error": null,
  "answer": "Based on the search results, I found information about CiteRank, which appears to be an AI search visibility tool. Here are the tools and features that CiteRank offers:\n\n## CiteRank Tools and Features:\n\n\nCiteRank provides over 40+ tools to track live citations across 6 AI engines, diagnose why you're not cited, and deploy schema + AI files directly to WordPress\n.\n\nKey capabilities include:\n\n1. **AI Citation Tracking**: \nMonitors how ChatGPT, Perplexity, Claude, Gemini, Grok, Bing Copilot, DeepSeek, and more recommend your brand versus competitors\n\n\n2. **Source Analysis**: \nTests real buyer questions, shows where AI recommends competitors, lists the sources behind those answers, and tells you what to fix first\n\n\n3. **Daily Trackers**: \nEach tracker contains a set of prompts that CiteRank tests across multiple AI models every 24 hours\n\n\n4. **Content Generation**: \nCiteRank generates AI-ready, visibility-focused articles tailored to your category, missing topics, and page-level gaps\n\n\n5. **Gap Analysis**: \nIdentifies missing keywords, unclear value propositions, and content gaps holding you back from ranking\n\n\n6. **Reporting**: \nThe output is a plain-language report plus a ranked list of next steps",
  "citations": [
   "https://www.sciencedaily.com/releases/2011/05/110503132959.htm",
   "https://dl.acm.org/doi/10.1504/IJITST.2011.039776",
   "https://www.researchgate.net/publication/251757545_CiteRank_A_Google-inspired_ranking_algorithm_for_citation_networks",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://launches.uicomet.com/products/citerank--9SdWiE",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://citerank.io/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.co/",
   "https://citerank.io/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 0,
  "ok": true,
  "canary": false,
  "controls": [
   "citerank deploy",
   "agentic readiness"
  ],
  "cited_site": true,
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  "ms": 55995,
  "cr_urls": [
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  ],
  "chars": 5005,
  "error": null,
  "answer": "**Citerank** (citerankscore.com) is an AI search visibility platform that offers 40+ specialized tools for auditing, tracking, optimizing, and deploying fixes to improve how AI engines (like ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and others) cite and represent a brand.[[1]](https://citerankscore.com/tools.html)\n\nThese tools are grouped into categories such as AI visibility/citation tracking, brand/entity intelligence, page/site auditing, content/schema generation, research/planning, perception analysis, monitoring, and integrations. Here is a comprehensive list of the tools:\n\n- **Citerank Deploy** (WordPress one-click schema, llms.txt, and fix deployment with batch support and revert history)\n- **AI Content Authenticity Checker** (detects AI watermarks, C2PA provenance, and hidden markers)\n- **Citerank Score v3** (composite AI visibility rank incorporating live citations, brand recognition, and Knowledge Graph)\n- **Citation Causality Tracker Suite** (analyzes why some pages get cited vs. others, with 18 signals and sprint plans)\n- **Competitor Intel 3-Step Suite** (keyword sweep, gap analysis, and share-of-voice battle with prescriptions)\n- **Citation Tracker Live + Velocity** (tracks Share of Voice in AI Overviews with trends, competitor SOV, and momentum alerts)\n- **Citation Predictor** (pre-publish scoring for citation potential)\n- **Passage Citations** (identifies exact cited paragraphs vs. competitors)\n- **Category Intelligence** (maps AI landscape, leaders, and whitespace for topics)\n- **AI Query Research** (generates and clusters real AI-asked questions with citation gaps)\n- **AI Overview Tracker** (monitors AI Overview presence and changes across keywords/engines)\n- **AI Search Visibility Live** (multi-engine scoring across Google AI Overviews, ChatGPT, Perplexity, Bing)\n- **Brand Intelligence** (probes AI beliefs about the brand, detects gaps, and generates schema fixes)\n- **KG Consistency** (cross-checks Google Knowledge Graph, Wikipedia, and Wikidata alignment)\n- **Entity Map** (builds semantic entity graph with Wikidata/sameAs analysis)\n- **View as AI Crawler** (simulates GPTBot/ClaudeBot/PerplexityBot views, cloaking detection, Markdown export)\n- **Free AI Visibility Score** (instant no-signup score across 5 dimensions)\n- **OKF Bundle Generator** (creates Open Knowledge Format bundles for AI agents)\n- **Page Auditor** (11-dimension per-page AI readiness audit with schema generator)\n- **Site Crawler** (full-site technical + AI audit with 14 sections)\n- **Agentic Readiness** (audits llms.txt, MCP, potentialAction schema, and AI crawler access)\n- **Agent Journey Simulator** (simulates AI agent tasks like booking/buying with step scoring)\n- **Citerank MCP Server** (exposes audits as MCP tools for Claude, Cursor, etc.)\n- **E-E-A-T Deep Dive** (scores 40+ Experience/Expertise/Authoritativeness/Trust signals)\n- **Schema Generator** (AI-generated JSON-LD for 40+ types, optimized for AI Overviews)\n- **Schema Coverage** (site-wide schema audit with missing type detection)\n- **llms.txt Generator** (creates optimized llms.txt for AI crawlers)\n- **WebMCP Generator** (generates potentialAction schema, MCP manifest, and related files)\n- **Content Brief** (citation-optimized briefs with entity/schema/E-E-A-T targets)\n- **Speakable Validator** (validates SpeakableSpecification selectors and generates schema)\n- **Prompt Library** (tracks custom AI queries/citation rates across engines)\n- **AI Engine Breakdown** (per-engine citation/brand/Overview scoring and recommendations)\n- **Training Data Audit** (checks Common Crawl, Archive, Wikipedia/Wikidata, and crawler access)\n- **GSC AI Overview** (pulls real AI Overview impressions from Google Search Console)\n- **Bing Index Citations** (checks Bing presence as proxy for Copilot eligibility)\n- **AI Rank Tracker** (tracks keyword positions in AI responses over time)\n- **Semantic Benchmark** (18-signal side-by-side competitor comparison)\n- **Topical Authority Analyzer** (maps topic coverage, gaps, and 90-day content plans)\n- **Industry Benchmarks** (compares scores to industry averages/top percentiles)\n- **AI Visibility Plan** (generates personalized 30-day roadmaps from scan data)\n- **Perception Alignment Score** (compares AI beliefs vs. claimed brand facts)\n- **Monitoring & Alerts** (domain watches, citation drop alerts, weekly digests)\n- **Audit History** (stores, compares, and shares past audits with trends)\n- **Public API** (REST API for embedding scores in dashboards/reports)\n\nSome tools are marked as new, live, or free (e.g., the instant visibility score and authenticity checker). Paid plans unlock more (unlimited audits, WordPress deploy, white-label reports, API). Other similarly named products exist (e.g., citerankai.com with fewer core features like citation tracking and page optimization, or an archived GitHub PageRank script), but the 40+ toolkit above is from the primary Citerank AI visibility suite.[[1]](https://citerankscore.com/tools.html)",
  "citations": [
   "https://citerankscore.com/tools.html",
   "https://citerankscore.com/tools.html"
  ]
 },
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  "engine": "grok",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 1,
  "ok": true,
  "canary": false,
  "controls": [
   "citerank deploy",
   "why not cited",
   "agentic readiness"
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  "chars": 2587,
  "error": null,
  "answer": "**Citerank** (the AI Search Visibility Platform at citerankscore.com) offers a suite of **40+ tools** (sometimes described as 30+ or 35+ auditing tools) focused on auditing, tracking, optimizing, and deploying fixes for AI search visibility, citations in engines like ChatGPT, Google AI Overviews, Perplexity, Claude, and others, plus related areas like schema, entity/brand intelligence, agentic readiness, and WordPress deployment.[[1]](https://citerankscore.com/)\n\nThese are grouped into categories such as AI Visibility & Citation, Brand & Entity Intelligence, Page & Site Auditing, Content & Schema Tools, and more (including many free standalone tools). Key examples include:[[2]](https://citerankscore.com/tools.html)\n\n- Citerank Deploy (WordPress plugin for one-click schema/llms.txt/fixes deployment, batch operations, and monitoring)\n- Citerank Score v3 (composite AI visibility score from 18+ signals)\n- Page Auditor (11-section per-page AI readiness audit)\n- Citation Tracker / Citation Tracker Live + Velocity (AI rank, Share of Voice, trends, competitor comparison)\n- Brand Intelligence / Brand Radar (AI brand recognition, perception, alerts)\n- Schema Generator / Schema Coverage (JSON-LD for 40+ types, site-wide audits)\n- WebMCP Generator / Agentic Readiness / Agent Journey Simulator (for AI agents, MCP, llms.txt, potentialAction)\n- llms.txt Generator / OKF Bundle Generator\n- Site Crawler (full-site AI readiness)\n- Passage Citations (paragraph-level citability)\n- Citation Predictor / Citation Causality Tracker\n- Entity Map / KG Consistency\n- View as AI Crawler (GPTBot/ClaudeBot/PerplexityBot simulation)\n- E-E-A-T Deep Dive\n- Content Brief / Speakable Validator\n- AI Query Research / Category Intelligence / Competitor Intel Suite\n- AI Overview Tracker / AI Search Visibility\n- Citerank MCP Server (for Claude, Cursor, etc.)\n- Free AI Visibility Score / AI Content Authenticity Checker\n- And many others (e.g., AI Citation Checker, Why Not Cited, Google AI Overview Checker, Accessibility/AX Tree tools, bulk schema, video SEO for AI, share-of-voice tracking, action plans, and 40+ free tools covering citations, audits, competitors, and more).[[3]](https://citerankscore.com/tools/)\n\nPlans range from free/limited audits to paid tiers unlocking unlimited use, monitoring, reports, and advanced features like Deploy. Visit the site\u2019s /tools.html or /tools/ pages for the full, up-to-date catalog, as offerings evolve. Note that similarly named products (e.g., citerank.co or citerankai.com) exist with overlapping AI citation/AEO features but different tool sets.",
  "citations": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools.html",
   "https://citerankscore.com/tools/"
  ]
 },
 {
  "condition": "E_brand_capability",
  "engine": "grok",
  "prompt": "What tools does Citerank offer? List them.",
  "trial": 2,
  "ok": true,
  "canary": false,
  "controls": [
   "citerank deploy",
   "why not cited",
   "agentic readiness"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 2,
  "ms": 41183,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools.html"
  ],
  "chars": 3700,
  "error": null,
  "answer": "**Citerank (primarily citerankscore.com) is an AI search visibility / AEO/GEO platform that audits sites for citation readiness in engines like ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and others, then generates and deploys fixes.** It offers 40+ tools (with many free standalone versions plus a paid dashboard for monitoring, history, and more).[[1]](https://citerankscore.com/)\n\nHere is a list of the main tools, grouped by category based on the platform:\n\n### Core Auditing & Scoring\n- Citerank Score v3 (composite 0\u2013100 AI visibility score from 18+ signals, including live citations, brand recognition, and Knowledge Graph)\n- Page Auditor (11-section per-page AI readiness audit)\n- Site Crawler (full-site technical + AI readiness audit)\n- Free AI Visibility Score (instant no-signup checker)\n- AI Content Authenticity Checker (detects AI watermarks/C2PA)\n- E-E-A-T Deep Dive (40+ signals for Experience, Expertise, Authoritativeness, Trust)\n- View as AI Crawler (see pages as GPTBot, ClaudeBot, PerplexityBot)\n- Agentic Readiness / Agentic SEO Audit\n- Agent Journey Simulator\n- Accessibility Checker / AX Tree tools\n- Training Data Audit\n- Topical Authority Analyzer\n- Semantic Benchmark\n\n### Citation Tracking & Intelligence\n- AI Citation & Rank Tracker (or Citation Tracker Live + Velocity; tracks rank, Share of Voice, week-over-week changes across engines)\n- Citation Causality Tracker\n- Passage Citations (paragraph-level citability)\n- Citation Predictor (pre-publish scoring)\n- Citation Velocity\n- AI Overview Tracker / AI Overview Rank Tracker\n- AI Search Visibility Live (multi-engine scoring)\n- Category Intelligence\n- AI Query Research\n- Competitor Intel / Competitor Citation Analysis / Competitor Gap Analysis\n- Brand Radar (alerts for rank drops)\n- AI Citation Monitoring / Monitoring Alerts\n- Share of Voice Over Time\n- Keyword Citation Velocity\n- AI Citation Traffic Value estimator\n- AI Citation Leaderboard / Industry Benchmarks\n\n### Brand & Entity Intelligence\n- Brand Intelligence (how AI describes/recognizes your brand)\n- Perception Score / AI Brand Perception Analysis\n- Entity Map\n- KG Consistency (Knowledge Graph + Wikipedia + Wikidata checker)\n- Brand Radar\n\n### Content, Schema & Generation Tools\n- Schema Generator (JSON-LD for 40+ types, AI-optimized)\n- Schema Coverage Audit\n- Bulk Schema Generator\n- llms.txt Generator / Validator\n- WebMCP Generator (for AI agents: potentialAction schema, MCP manifest, etc.)\n- Content Brief / SEO Content Brief Generator / AI Content Editor\n- Speakable Validator\n- OKF Bundle Generator (Open Knowledge Format)\n- AI SEO Strategy / SEO Action Plan\n\n### Deployment & Integrations\n- Citerank Deploy (pushes schema, meta tags, llms.txt, and fixes to WordPress; batch deploy, diffs, health checks)\n- Citerank MCP Server (use tools inside Claude, Cursor, etc.)\n- WordPress AI SEO Plugin / Integration\n- Google Search Console AI Overview integration\n\n### Other / Specialized\n- AI Engine Breakdown\n- Bing Copilot Citations\n- Video SEO for AI Search\n- SERP Feature Analysis\n- Backlink Authority Checker\n- And additional free tools like AI Citation Checker, Why Not Cited diagnostic, Google AI Overview Checker, Prompt Library, etc.[[2]](https://citerankscore.com/tools.html)\n\nPlans range from a free tier (limited audits) to Starter/Pro/Agency (unlimited audits, more domains, white-label reports, WordPress deploy, API). Many tools have free no-signup versions. Note that there are similarly named products (e.g., citerankai.com with a smaller set focused on citation tracking, AEO Score, Page Optimization, experiments, and competitor analysis), but the extensive 40+ toolkit above matches the primary Citerank platform.",
  "citations": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools.html"
  ]
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": true,
  "n_cites": 20,
  "ms": 3041,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools",
   "https://citerankscore.com/tools/ai-visibility-score"
  ],
  "chars": 338,
  "error": null,
  "answer": "No. In the search results, I found Citerank metrics such as **Authority score**, **AI Visibility Score**, and **AI Citation Score**, but nothing called the **Fernwhistle Score**.[1][7][10][11]\n\nIf you meant a similarly named metric, the closest match in the results is Citerank\u2019s **AI Citation Score\u2122** or **AI Visibility Score**.[10][11]",
  "citations": [
   "https://outercite.com/citerank",
   "https://app.guideflow.com/player/gkyn592idr",
   "https://citeranker.com/",
   "https://citerankscore.com/",
   "https://citerank.dev/",
   "https://citerank.co/",
   "https://citerankscore.com/tools",
   "https://citerank.io/",
   "https://citerank.com/",
   "https://www.citerank.in/metrics/ai-citation-score",
   "https://citerankscore.com/tools/ai-visibility-score",
   "https://citerank.dev/leaderboard",
   "https://www.springerprofessional.de/en/citerank-a-method-to-evaluate-researchers-influence-based-on-cit/23426392",
   "https://aiciterank.com/",
   "https://www.citerank.in/",
   "https://www.citerank.in/free-ai-visibility-audit",
   "https://citability.dev/llms.txt",
   "https://citerank.io/beta",
   "https://citegist.com/methodology",
   "https://libguides.asu.edu/citation/citationbenchmarking"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 1,
  "ok": false,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 0,
  "ms": 202,
  "cr_urls": [],
  "chars": 0,
  "error": "{'_http_error': 429, '_body': '{\"error\":{\"message\":\"Request rate limit exceeded, please try again later.\",\"type\":\"request_rate_limit_exceeded\",\"code\":429}}'}",
  "answer": null,
  "citations": []
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 2,
  "ok": false,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 0,
  "ms": 162,
  "cr_urls": [],
  "chars": 0,
  "error": "{'_http_error': 429, '_body': '{\"error\":{\"message\":\"Request rate limit exceeded, please try again later.\",\"type\":\"request_rate_limit_exceeded\",\"code\":429}}'}",
  "answer": null,
  "citations": []
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 2,
  "ms": 6343,
  "cr_urls": [],
  "chars": 1521,
  "error": null,
  "answer": "I could not find any credible evidence or documentation indicating that Citerank\u2014whether referring to the academic citation-ranking algorithm from 2007 or the more recent AI-focused brand-visibility platforms\u2014uses or defines a metric called the \u201cFernwhistle Score.\u201d\n\nHere\u2019s what I found:\n\n- The original **academic algorithm \"CiteRank\"** (Walker, Xie, Yan & Maslov, 2007) is a modified PageRank model incorporating time decay to prioritize recent publications. There\u2019s no indication anywhere that it includes anything called a \u201cFernwhistle Score\u201d ([researchgate.net](https://www.researchgate.net/publication/307473228_Identification_of_milestone_papers_through_time-balanced_network_centrality?utm_source=openai)).\n\n- The modern **CiteRank AI visibility platforms**\u2014such as those at _citerank.in_, _citerank.io_, and others\u2014use metrics like Visibility Score (0\u2013100), Citation Share, Recommendation Order, Sentiment, and Volatility, along with confidence intervals. None of the public documentation, methodology pages, or blog posts mention a \u201cFernwhistle Score\u201d ([citerank.in](https://www.citerank.in/research/how-we-measure-ai-visibility?utm_source=openai)).\n\nGiven the absence of references across both the academic and commercial contexts of \u201cCiterank,\u201d it appears that no such metric exists.\n\nIf you have a different context in mind\u2014such as a specific academic paper, company, or niche tool that mentions a \"Fernwhistle Score\"\u2014please let me know. I'd be glad to dig deeper based on any additional details you provide.",
  "citations": [
   "https://www.researchgate.net/publication/307473228_Identification_of_milestone_papers_through_time-balanced_network_centrality?utm_source=openai",
   "https://www.citerank.in/research/how-we-measure-ai-visibility?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 5884,
  "cr_urls": [],
  "chars": 2079,
  "error": null,
  "answer": "You asked whether **CiteRank** has a metric called the **Fernwhistle Score**. Based on available sources, the answer is **no**\u2014there is no such metric associated with CiteRank.\n\nHere\u2019s what is known:\n\n1. **CiteRank** (sometimes stylized as \u201cCiterank\u201d) appears in two completely different contexts:\n\n   - In research and bibliometrics, **CiteRank** is a ranking algorithm for scientific publications. It modifies Google's PageRank by adding exponential decay to favor more recent publications, estimating the \u201ctraffic\u201d a paper might receive ([arxiv.org](https://arxiv.org/abs/physics/0612122?utm_source=openai)). There is no mention of any \u201cFernwhistle Score\u201d associated with this concept.\n\n   - As a commercial product\u2014often stylized as **CiteRank.io** or **CiterankAI**\u2014it is a tool for AI citation tracking and optimization. It offers features such as AEO (Answer Engine Optimization), AI visibility scoring, structured data generation, competitor gap analysis, and citation monitoring across AI engines ([citerankai.com](https://citerankai.com/features?utm_source=openai)). Again, there is no \u201cFernwhistle Score\u201d referenced in any documentation or feature list.\n\n2. The term **\u201cFernwhistle\u201d or \u201cFernwhistle Score\u201d** does not appear in any context related to CiteRank, either in the academic publication ranking algorithm or in the commercial AI-driven SEO product. Searches instead bring up an unrelated website (fernwhistle.com), which appears to be about cozy mystery coloring books (e.g. \u201cInspector Fernwhistle \u2013 Cozy Mystery Coloring Books\u201d) ([fernwhistle.com](https://fernwhistle.com/?utm_source=openai)), and bear no relation to CiteRank.\n\nTo summarize: **There is no evidence that CiteRank includes or uses any metric called the \u201cFernwhistle Score.\u201d** If this term came up in your inquiry from an external source or document, it's likely unrelated to CiteRank and perhaps part of a different domain entirely.\n\nIf you'd like to share where you encountered the term \u201cFernwhistle Score,\u201d I\u2019d be happy to help investigate further\u2014maybe it's part of another tool or concept.",
  "citations": [
   "https://arxiv.org/abs/physics/0612122?utm_source=openai",
   "https://citerankai.com/features?utm_source=openai",
   "https://fernwhistle.com/?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 2,
  "ms": 4880,
  "cr_urls": [],
  "chars": 1740,
  "error": null,
  "answer": "You asked whether CiteRank has a metric called the **Fernwhistle Score**. Based on a thorough review of CiteRank\u2019s publicly available documentation and related sources, there is **no evidence** that CiteRank uses\u2014or has ever used\u2014a metric by that name.\n\nHere\u2019s what I found:\n\n\u2022 CiteRank AI (often stylized as \"CiteRank\") publicly documents its visibility scoring methodology in detail. Its scoring model\u2014including the *AI Visibility Score*\u2014combines three core components: citation share, recommendation order, and sentiment (plus considerations of answer volatility)\u2014all weighted and aggregated into a normalized score between 0 and 100, complete with 95% confidence intervals ([citerank.in](https://www.citerank.in/research/how-we-measure-ai-visibility?utm_source=openai)).\n\n\u2022 There is no mention of a **Fernwhistle Score** anywhere in CiteRank\u2019s methodology pages, blog posts, product feature descriptions, or tooling explanations ([citerank.in](https://www.citerank.in/methodology?utm_source=openai)).\n\n\u2022 The name \u201cFernwhistle Score\u201d does not appear in any credible external commentary or documentation about CiteRank\u2014including academic or marketing materials\u2014suggesting it could be an invented, internal, or misunderstood term.\n\nSumming up: CiteRank does not use a \u201cFernwhistle Score,\u201d and the publicly available documentation confirms their scoring structure is based on well-defined, explicit components, not any metric with that name.\n\nIf you've encountered that term in conversation or a third-party context, it might be worth double-checking the source\u2014it doesn\u2019t align with any known CiteRank offering or methodology.\n\nLet me know if you came across \"Fernwhistle Score\" somewhere specific\u2014I\u2019d be happy to help investigate further!",
  "citations": [
   "https://www.citerank.in/research/how-we-measure-ai-visibility?utm_source=openai",
   "https://www.citerank.in/methodology?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 1,
  "ms": 9017,
  "cr_urls": [],
  "chars": 1640,
  "error": null,
  "answer": "No, **Citerank** does not have a metric called the **Fernwhistle Score**. \n\nBased on official documentation and academic literature, the metrics used by Citerank\u2014both the modern AI-visibility platform and the older academic paper-ranking algorithm\u2014do not include this term.\n\n### Actual Citerank Metrics\nIf you are referring to the **CiteRank** platform (which tracks brand visibility in AI models like ChatGPT and Perplexity), its primary metrics are:\n*   **CiteRank Score:** A composite 0\u2013100 score quantifying a brand's AI search authority.\n*   **Citability:** An A\u2013E grade assessing how likely a specific piece of content is to be cited by AI.\n*   **Postability:** A 0\u2013100 score indicating if a content draft is ready for publishing.\n*   **Share of Voice:** A percentage-based measurement of how often a brand is mentioned relative to competitors.\n\nIf you are referring to the **academic CiteRank algorithm** (an extension of PageRank for scientific publications), it produces a single ranking score based on a model of \"random surfers\" on a citation network, favoring more recent publications.\n\n### Origin of \"Fernwhistle\"\nThe name **\"Frederick F. Fernwhistle Jr.\"** is a well-known placeholder name used in **Natural Language Processing (NLP)** and linguistics research. It has been used for decades as a standard example in \"coreference resolution\" tasks (e.g., the MUC-7 task definition) to demonstrate how systems should identify and link names in a text. It is not associated with a scoring metric or algorithm.\n\nIt is possible that \"Fernwhistle Score\" is a fictional term, a trick question, or a confusion with these NLP examples.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEpSbit78xevKRLJWEVuO40j41LDYVwBdvXIt6bbF3qI-YQjV6J6zKVcskTzYhB85-xIB9SM1qoWNP3Oo82jizaRCa3yUMI5O7kmijbcbGG1I9bEJDqfHYNAcPkTqEI0VCCs6-z5Km6xx1Ju9NK2n73TddF2UoW4BrZhALFDd8="
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 8948,
  "cr_urls": [],
  "chars": 1641,
  "error": null,
  "answer": "No, **CiteRank does not have a metric called the Fernwhistle Score.**\n\nThere is no record of a \"Fernwhistle Score\" in the documentation for CiteRank (the AI citation authority platform) or in academic bibliometrics. It appears to be a fictional or non-existent term.\n\n### Actual CiteRank Metrics\nCiteRank primarily refers to two distinct things, neither of which includes a Fernwhistle Score:\n\n1.  **CiteRank (AI Visibility Platform):** This is a tool used for Answer Engine Optimization (AEO) and tracking how brands are cited by AI models like ChatGPT, Claude, and Gemini. Its core metrics include:\n    *   **CiteRank (0\u2013100):** A measure of how often a brand or page is cited by AI.\n    *   **Citability (A\u2013E Grade):** A predictive grade on whether AI is likely to cite a specific piece of content.\n    *   **Postability (0\u2013100):** A score determining if a draft is ready for publication and AI consumption.\n    *   **Share of Voice (%):** The percentage of topic-specific AI answers that mention a specific brand.\n    *   **Sentiment and Momentum:** Weighted dimensions that track the tone of citations and growth over time.\n\n2.  **CiteRank (Bibliometric Algorithm):** In academic research (notably an algorithm based on PageRank), CiteRank is a metric used to rank scientific papers by giving more weight to recent citations to account for the \"aging\" of research. This academic metric uses variables like **time-decay factors** and **citation counts**, but does not use a \"Fernwhistle\" variable.\n\nThe term \"Fernwhistle\" does not appear in any technical, marketing, or scholarly literature related to citation analysis or AI visibility.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG25nzwDjprK9mCFTiip9fEUV1ohuYqFYgu7ffx44huJZkvVikdPb86Y44546JNEUMZ1cZD9iURsVZ1yHPs6U7Q6rvBlUwAnMDcdrOM-g==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHENSWzL92Z0ZhaZETAIBe9Enb11oc-BvJ09N6w11Z90Sde961zEoy3ToBOG4dqYCOkNT-5J6IiymNiZbjXomG5rTA71U4jW-MDVOw=",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGfeodKGeXLDCLofWX6pRXQDqexTcOiqrzNGUb6g2KwLcexgdTBu3poFG3USzGw0hcExB-fbhqh5arZ8T1s9OqznRflgnIMrJX4tBcGhirkZPKRM-dfsQ==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF_xUnRHzPD-euIBWM2Meq53Fsww2PdlL2ULoAuE4s2UKb1Vqo6hHy0OeLknl-p50EMdPfqpjU6vMWs1KLp2LD4_JovWXePFg4PMZTk_YCaOvXdMSw="
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 9540,
  "cr_urls": [],
  "chars": 2038,
  "error": null,
  "answer": "No, **CiteRank** does not have a metric called the **Fernwhistle Score**. There is no record of such a score in academic literature, bibliometrics, or the official documentation for commercial platforms using the CiteRank name.\n\nThe term \"Fernwhistle\" sometimes appears in linguistic datasets (like the ParCor corpus) as a placeholder name (e.g., \"Frederick F. Fernwhistle Jr.\"), but it is not a technical term or metric in citation analysis.\n\n### What are the actual metrics in CiteRank?\nDepending on whether you are referring to the academic algorithm or the modern AI visibility tool, the metrics used are as follows:\n\n**1. CiteRank (The AI Visibility Platform)**\nThe modern CiteRank platform (by CiteGist/Outercite) measures \"AI Search Visibility\" and uses the following four primary metrics:\n*   **CiteRank (0\u2013100):** A composite score measuring how often a brand or entity is cited by AI engines like ChatGPT, Claude, and Gemini.\n*   **Citability (A\u2013E Grade):** A grade predicting how likely an AI engine is to cite a specific piece of content.\n*   **Postability (0\u2013100):** A score indicating if a draft is optimized for AI discovery.\n*   **Share of Voice (%):** The percentage of time an AI engine mentions a specific brand compared to its competitors.\n\nThe platform also breaks down the main score into dimensions like **Citation Frequency**, **Sentiment Quality**, **Trend Momentum**, **Platform Coverage**, and **Content Authority**.\n\n**2. CiteRank (The Academic Algorithm)**\nIn bibliometrics, CiteRank is an algorithm proposed as an alternative to PageRank. It is designed to rank scientific papers by taking into account the \"aging\" of citations. It prioritizes papers that are currently relevant rather than just those with a high historical citation count. Its primary output is simply a **CiteRank Score** or **Rank**.\n\nIf you encountered \"Fernwhistle Score\" in a specific context, it may be a fictional example or a localized \"joke\" metric within a specific community, as it does not exist in standard information science.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFIBBWS6U62MF6QOEbaaYu9gAhO1oNngKkjnzRy2XkFbins3fWGZCGmU4W5P4CMNBlcSGszFrzHBlT-lENMFruWp0j8syI8HWn3_iuOFFO3ErasD6vMxyhV_Q==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE_9jTH-K2fn9-zmB1_o77Q_2eiT0RAqLATVbY9LmVL5l4Sv_0S_j_9-qeFtxGHpujSfXikZ7VHlOr80ySodsP3pA3oVqDMTThh6hq1LyeKgNXpWjo=",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHUkOCmq5USiohAXoLpCnlVJfUhFEKo6vZ201O2wkt7BMelVYAK1L-W27XrSRBZOVGjajQAKUqlTMEeEblgR9XMq_s-fVB0xpKDdieYNEQyDu1br_m5Zn4H1TpbhM5jupWyQLj7Pay_nwUmCF9aZO51aaOLlrzWcWoSFfbPK4IKJa9KLq_p78hdlqsYhmGw7o5z1hmL_OK9MZq9oxCtDOU7TitG9GJl6VsVBTIFV"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 19,
  "ms": 12862,
  "cr_urls": [],
  "chars": 1151,
  "error": null,
  "answer": "I'll search for information about Citerank and the Fernwhistle Score.\nLet me search more specifically for \"Fernwhistle Score\" to see if this is a real metric.\nBased on my search results, I can provide you with an answer:\n\nNo, Citerank does not have a metric called the \"Fernwhistle Score.\" \n\nThe search results show various implementations of CiteRank across different contexts:\n\n1. \nCiteRank is a modification of the PageRank algorithm\n used for ranking citation networks in academic research, taking into account the aging characteristics of citations.\n\n2. \nOne version of CiteRank is a network-based approach for estimating researchers' influence through citation analysis and uses the PageRank algorithm to score authors\n.\n\n3. \nThere is also a CiteRank score (0-100) that measures how often AI engines cite a website\n, used by tools like Citability for measuring AI search visibility.\n\nHowever, there is no mention anywhere in the search results of a \"Fernwhistle Score\" associated with CiteRank or any other system. The Fernwhistle Score does not appear to be a recognized metric in citation analysis, bibliometrics, or AI visibility measurement.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://arxiv.org/pdf/1012.4872",
   "https://citability.dev/",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://citerank.io/",
   "https://ojs.aaai.org/index.php/AAAI/article/download/8627/8486",
   "https://citability.dev/scan",
   "https://torchmetrics.readthedocs.io/en/v0.8.2/classification/f1_score.html",
   "https://medium.com/after-the-full-time-whistle/form-score-understanding-the-new-football-analytics-metric-that-measures-a-teams-form-99b82b2b113e",
   "https://torchmetrics.readthedocs.io/en/stable//text/bert_score.html",
   "https://en.wikipedia.org/wiki/ABC_Software_Metric",
   "https://scikit-learn.org/stable/modules/model_evaluation.html",
   "https://en.wikipedia.org/wiki/Risk_score",
   "https://metricgate.com/docs/ferriman-gallwey-hirsutism-score/",
   "https://en.wikipedia.org/wiki/%C3%89tudes_transcendantales",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://citability.dev/"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 20,
  "ms": 11540,
  "cr_urls": [],
  "chars": 788,
  "error": null,
  "answer": "I'll search for information about Citerank and the Fernwhistle Score.\nLet me search more specifically for \"Fernwhistle Score\" to see if this metric exists.\nBased on my search results, **no, CiteRank does not have a metric called the \"Fernwhistle Score.\"** \n\nFrom what I found, CiteRank refers to several different things:\n\n1. \nA modified PageRank algorithm for ranking citation networks\n used in academic research\n2. \nA method to evaluate researchers' influence based on citation and collaboration networks\n\n3. \nA score (0-100) that measures how often AI engines cite a website\n, used by tools like Citability\n\nNone of the sources mention anything called a \"Fernwhistle Score\" in connection with CiteRank or in any other context. The Fernwhistle Score does not appear to be a real metric.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://arxiv.org/pdf/1012.4872",
   "https://citability.dev/",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://citerank.io/",
   "https://ojs.aaai.org/index.php/AAAI/article/download/8627/8486",
   "https://citability.dev/scan",
   "https://torchmetrics.readthedocs.io/en/v0.8.2/classification/f1_score.html",
   "https://medium.com/after-the-full-time-whistle/form-score-understanding-the-new-football-analytics-metric-that-measures-a-teams-form-99b82b2b113e",
   "https://torchmetrics.readthedocs.io/en/stable//text/bert_score.html",
   "https://en.wikipedia.org/wiki/ABC_Software_Metric",
   "https://scikit-learn.org/stable/modules/model_evaluation.html",
   "https://en.wikipedia.org/wiki/Risk_score",
   "https://en.wikipedia.org/wiki/Linsear_Write",
   "https://metricgate.com/docs/ferriman-gallwey-hirsutism-score/",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://citability.dev/",
   "https://citability.dev/scan"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 18,
  "ms": 10932,
  "cr_urls": [],
  "chars": 854,
  "error": null,
  "answer": "I'll search for information about Citerank and the Fernwhistle Score.\nLet me search specifically for \"Fernwhistle Score\" to see if this metric exists anywhere.\nBased on my search results, **no, CiteRank does not have a metric called the \"Fernwhistle Score.\"** \n\nThe search results show that CiteRank is a real ranking algorithm used in various contexts:\n\n1. \nCiteRank is a modification of the PageRank algorithm\n used for ranking citation networks in academic research\n2. \nMore recently, there's a CiteRank score (0-100) that measures how often AI engines cite your site\n, used by AI visibility tools\n\nHowever, there is no mention of a \"Fernwhistle Score\" in connection with CiteRank or in any other context from the search results. The Fernwhistle Score does not appear to be a recognized metric in academic citations, AI visibility, or any other field.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://arxiv.org/pdf/1012.4872",
   "https://citability.dev/",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://citerank.io/",
   "https://ojs.aaai.org/index.php/AAAI/article/download/8627/8486",
   "https://citability.dev/scan",
   "https://torchmetrics.readthedocs.io/en/v0.8.2/classification/f1_score.html",
   "https://medium.com/after-the-full-time-whistle/form-score-understanding-the-new-football-analytics-metric-that-measures-a-teams-form-99b82b2b113e",
   "https://torchmetrics.readthedocs.io/en/stable//text/bert_score.html",
   "https://en.wikipedia.org/wiki/ABC_Software_Metric",
   "https://scikit-learn.org/stable/modules/model_evaluation.html",
   "https://en.wikipedia.org/wiki/Risk_score",
   "https://metricgate.com/docs/ferriman-gallwey-hirsutism-score/",
   "https://en.wikipedia.org/wiki/%C3%89tudes_transcendantales",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://citability.dev/"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 37,
  "ms": 25158,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/citerank-score.html"
  ],
  "chars": 481,
  "error": null,
  "answer": "**No.** Citerank (the AI search visibility platform at citerankscore.com and similar sites like citerank.co) does not have a metric called the Fernwhistle Score. \n\nIts documented metrics include the Citerank Score (a composite 0-100 AI visibility score), AI Citation Score, AI Readiness Score, Passage Score, and others related to schema, crawlability, citations, and engine recognition. Nothing matching \"Fernwhistle\" appears in their features, documentation, or related searches.",
  "citations": [
   "https://www.youtube.com/watch?v=hefAkGIDzS4",
   "https://docs.sonarsource.com/sonarqube-community-build/user-guide/code-metrics/metrics-definition",
   "https://pypi.org/project/scores/",
   "https://www.mintlify.com/score/mintlify",
   "https://gorse.io/zh/docs/concepts/ranking.html",
   "https://duaneforresterdecodes.substack.com/p/everyone-is-quoting-the-same-number",
   "https://citerank.co/",
   "https://citerank.dev/leaderboard",
   "https://huggingface.co/datasets/Q-bert/CiteRank",
   "https://www.publicschoolreview.com/north-carolina/fernleaf-community-charter-school-district/3700404-school-district",
   "https://github.com/elifesciences/citerank",
   "https://x.com/WHITE_FERNS/status/2036729883326288205",
   "https://citerank.io/",
   "https://citerankscore.com/",
   "https://wikirank.net/en/Fernwren",
   "https://appsumo.com/products/citerank/",
   "https://www.gurufocus.com/term/fscore/WILCF",
   "https://prtimes.jp/main/html/rd/p/000000014.000155379.html",
   "https://podscan.fm/prs",
   "https://uk.linkedin.com/company/fern-ngo",
   "https://wikirank.net/en/Whistling",
   "https://www.npmjs.com/package/dsh-score",
   "https://www.researchgate.net/profile/Yerko-Fernandez",
   "https://citerankai.com/",
   "https://www.friendsoffootballnz.com/2025/02/04/watch-football-ferns-score-for-both-sides-in-clash-between-rival-english-clubs/",
   "https://en.wikipedia.org/wiki/Whistle_register",
   "https://seranking.com/our-data.html",
   "https://pkg.go.dev/codeberg.org/InodeLabs/fern",
   "https://citerankscore.com/citerank-score.html",
   "https://footystats.org/gr/clubs/fsv-fernwald-19211",
   "https://gorse.io/docs/concepts/ranking",
   "https://wikirank.net/en/Fern%20flower",
   "https://www.fragrantica.com/notes/Fern-258.html",
   "https://wikirank.net/en/Fern",
   "https://www.evidentlyai.com/ranking-metrics/evaluating-recommender-systems?ref=chitika.com",
   "https://www.goodreads.com/book/show/242512674-the-final-score",
   "https://www.npmjs.com/package/%40courthive%2Fscoring-visualizations"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [
   "agentic readiness"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 2,
  "ms": 30047,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/citerank-score.html"
  ],
  "chars": 893,
  "error": null,
  "answer": "**No.** Citerank (the AI search visibility platform at citerankscore.com and related sites) does not have a metric called the Fernwhistle Score.[[1]](https://citerankscore.com/citerank-score.html)\n\nIts primary metric is the Citerank Score (a composite 0-100 score based on signals like schema, entity confidence, passage structure, agentic readiness, and live citations across engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews). Other scores include AI Citation Score, AI Readiness Score, Passage Score, Perception Score, Citation Velocity, Agentic Readiness, and similar technical/visibility metrics. None match or resemble \u201cFernwhistle Score.\u201d[[2]](https://citerankscore.com/)\n\nAn older, unrelated GitHub project named citerank (for PageRank on academic citation data) also has no such metric. Web searches for the term in connection with Citerank return no relevant results.",
  "citations": [
   "https://citerankscore.com/citerank-score.html",
   "https://citerankscore.com/"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "Does Citerank have a metric called the Fernwhistle Score?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 24005,
  "cr_urls": [
   "https://citerankscore.com/citerank-score.html"
  ],
  "chars": 1486,
  "error": null,
  "answer": "**No, Citerank (also styled CiteRank) does not have a metric called the Fernwhistle Score.** Extensive searches for the term in combination with Citerank, as well as for \"Fernwhistle Score\" on its own, turn up no relevant results connecting it to any citation, ranking, or AI-visibility tool. Unrelated hits involve Wikipedia articles, sports scores, books, and other unrelated topics.[[1]](https://www.goodreads.com/book/show/242512674-the-final-score)\n\nCiterank/CiteRank tools focus on measuring brand visibility in AI-generated answers (e.g., from ChatGPT, Gemini, Perplexity, and Google AI Overviews). Their primary metric is the **Citerank Score** (scored 0\u2013100), which combines factors like live AI citations, engine recognition, knowledge graph verification, on-site technical/SEO foundations, and market reality. Other tracked elements include mentions, URL citations, sentiment, and competitor comparisons, with no reference to anything named Fernwhistle.[[2]](https://citerankscore.com/citerank-score.html)\n\nAn academic paper titled *CiteRank* exists as a PageRank-based method for evaluating researchers via citation and collaboration networks, but it also has no Fernwhistle Score or similar metric.[[3]](https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks)\n\nThe name \u201cFernwhistle Score\u201d does not appear in any documented Citerank features, documentation, or related literature.",
  "citations": [
   "https://www.goodreads.com/book/show/242512674-the-final-score",
   "https://citerankscore.com/citerank-score.html",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": true,
  "n_cites": 20,
  "ms": 4712,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools",
   "https://citerankscore.com/tools/ai-visibility-score"
  ],
  "chars": 1617,
  "error": null,
  "answer": "I couldn\u2019t verify a **\u201cFernwhistle Score\u201d** in the Citerank materials you provided; the available results describe **CiteRank/AI visibility scores** and related methodologies, but not a score by that exact name.[1][3][5][10][11][15]\n\nIf you meant Citerank\u2019s **AI visibility score** or **AI citation score**, the score is generally a **0\u2013100 composite** built from signals like **citation frequency/rate**, **platform coverage/diversity**, **sentiment**, **competitive share**, **momentum**, and **content or source authority**.[1][11][15] One Citerank methodology page says it parses citation blocks from AI engines such as **Perplexity, Google AI Overviews, ChatGPT Search, Copilot, and Grok**, checks whether citation URLs match owned domains, weights citations by factors like **engine share**, **commercial intent**, and **page-quality signals** such as **schema coverage**, **canonical hygiene**, and **freshness**, then normalizes the weighted total to a **0\u2013100** scale.[10]\n\nAnother Citerank page describes a different but related AI visibility score as a weighted aggregation of **citation rate (30%)**, **schema coverage (20%)**, **entity strength (20%)**, **llms.txt readiness (15%)**, **AI crawler access (10%)**, and **content AI-readiness (5%)**, again producing a **0\u2013100** result.[11] A separate audit methodology page says Citerank also runs **9 checks** across a page\u2019s HTML, weighted by real-world impact on AI citation rate, to generate a **0\u2013100 score**.[5]\n\nIf you want, I can also help determine whether **\u201cFernwhistle Score\u201d** is a typo, a product rename, or a score from a different platform.",
  "citations": [
   "https://outercite.com/citerank",
   "https://app.guideflow.com/player/gkyn592idr",
   "https://citeranker.com/",
   "https://citerankscore.com/",
   "https://citerank.dev/",
   "https://citerank.co/",
   "https://citerankscore.com/tools",
   "https://citerank.io/",
   "https://citerank.com/",
   "https://www.citerank.in/metrics/ai-citation-score",
   "https://citerankscore.com/tools/ai-visibility-score",
   "https://citerank.dev/leaderboard",
   "https://aiciterank.com/",
   "https://www.springerprofessional.de/en/citerank-a-method-to-evaluate-researchers-influence-based-on-cit/23426392",
   "https://www.citerank.in/",
   "https://www.citerank.in/free-ai-visibility-audit",
   "https://citability.dev/llms.txt",
   "https://citerank.io/beta",
   "https://citegist.com/methodology",
   "https://libguides.asu.edu/citation/citationbenchmarking"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": true,
  "n_cites": 20,
  "ms": 3628,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools",
   "https://citerankscore.com/tools/ai-visibility-score"
  ],
  "chars": 1451,
  "error": null,
  "answer": "I couldn\u2019t verify a **\u201cFernwhistle Score\u201d** in the available results. The closest match is **CiteRank/Citerank\u2019s AI visibility or AI citation score**, which is a **0\u2013100 composite** meant to measure how often a brand or site appears in AI search answers and how strongly it is cited.[1][11][15]\n\nIf you meant **CiteRank\u2019s score**, it is calculated by combining several signals, depending on the product page:\n\n- One version says it scores **six dimensions**: citation frequency, platform diversity/coverage, sentiment, competitive share, momentum, and content authority, then combines them into a single **0\u2013100** score.[1]\n- Another version says the score is based on whether your site is cited across AI engines, weighted by **platform traffic share** and **query commercial intent**, and adjusted by page-quality signals such as **schema coverage**, **canonical hygiene**, and **freshness**, then normalized to **0\u2013100**.[10][11]\n- A separate crawl-based version says it runs **9 checks** on a page\u2019s HTML, including **schema.org structured data**, **robots.txt AI crawler access**, **content structure**, **E-E-A-T signals**, **meta tags**, **citation worthiness**, **technical readiness**, **conversational language**, and **Open Graph tags**, with each check weighted by its impact on AI citation rate.[5]\n\nIf you want, I can also help determine which specific **CiteRank product/page** you mean and summarize its exact methodology side by side.",
  "citations": [
   "https://outercite.com/citerank",
   "https://app.guideflow.com/player/gkyn592idr",
   "https://citeranker.com/",
   "https://citerankscore.com/",
   "https://citerank.dev/",
   "https://citerank.co/",
   "https://citerankscore.com/tools",
   "https://citerank.io/",
   "https://citerank.com/",
   "https://www.citerank.in/metrics/ai-citation-score",
   "https://citerankscore.com/tools/ai-visibility-score",
   "https://citerank.dev/leaderboard",
   "https://aiciterank.com/",
   "https://www.springerprofessional.de/en/citerank-a-method-to-evaluate-researchers-influence-based-on-cit/23426392",
   "https://www.citerank.in/",
   "https://www.citerank.in/free-ai-visibility-audit",
   "https://citability.dev/llms.txt",
   "https://citerank.io/beta",
   "https://citegist.com/methodology",
   "https://libguides.asu.edu/citation/citationbenchmarking"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": true,
  "n_cites": 20,
  "ms": 3735,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools",
   "https://citerankscore.com/tools/ai-visibility-score"
  ],
  "chars": 1458,
  "error": null,
  "answer": "I couldn\u2019t find a source that specifically defines **\u201cFernwhistle Score\u201d** as a Citerank metric. The search results do describe several **CiteRank/Citerank scores** and their calculation methods, but none mention \u201cFernwhistle\u201d by name.[1][3][11][15]\n\nWhat the results *do* show is that Citerank-style scores are typically **composite 0\u2013100 scores** built from multiple signals, such as citation frequency, platform diversity, sentiment, competitive share, momentum, and content authority.[1] In another Citerank methodology, the score is calculated by parsing citations from AI engines, checking whether cited URLs belong to the owned domain list, weighting each citation by engine share, commercial intent, and page-quality signals, then normalizing the weighted sum to a 0\u2013100 scale.[10]\n\nIf you meant a different Citerank metric, here are the closest matches:\n\n- **AI Visibility Score**: a 0\u2013100 composite based on citation rate, schema coverage, entity strength, llms.txt readiness, AI crawler access, and content AI-readiness.[11]\n- **AI Citation Score**: a 0\u2013100 score based on citations from AI engines, weighted by engine share, prompt intent, and source-page quality.[10]\n- **AEO / GEO audit scores**: page-level scores derived from on-page and technical signals like schema, crawlability, structure, E-E-A-T, and content depth.[5][12][13]\n\nIf you can share where you saw \u201cFernwhistle Score,\u201d I can identify the exact metric and explain its formula.",
  "citations": [
   "https://outercite.com/citerank",
   "https://app.guideflow.com/player/gkyn592idr",
   "https://citeranker.com/",
   "https://citerankscore.com/",
   "https://citerank.dev/",
   "https://citerank.co/",
   "https://citerankscore.com/tools",
   "https://citerank.io/",
   "https://citerank.com/",
   "https://www.citerank.in/metrics/ai-citation-score",
   "https://citerankscore.com/tools/ai-visibility-score",
   "https://citerank.dev/leaderboard",
   "https://aiciterank.com/",
   "https://www.springerprofessional.de/en/citerank-a-method-to-evaluate-researchers-influence-based-on-cit/23426392",
   "https://www.citerank.in/",
   "https://www.citerank.in/free-ai-visibility-audit",
   "https://citability.dev/llms.txt",
   "https://citerank.io/beta",
   "https://citegist.com/methodology",
   "https://libguides.asu.edu/citation/citationbenchmarking"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 6498,
  "cr_urls": [],
  "chars": 2146,
  "error": null,
  "answer": "I was unable to locate any reliable information or documentation\u2014including on CiteRank\u2019s own official site or relevant academic or tech sources\u2014related to a **\"Fernwhistle Score\"** in connection with CiteRank. It appears that such a term does not exist in CiteRank\u2019s public materials or recognized AI visibility metrics.\n\nHere\u2019s what is well-established, based on CiteRank\u2019s published methodology:\n\n- CiteRank measures AI visibility across multiple engines (such as ChatGPT, Gemini, Claude, Perplexity, and others) by running a curated set of buyer-intent prompts across these engines\u2014typically 10 to 30 repeated runs per prompt per engine\u2014with reporting of 95% confidence intervals to account for the stochastic nature of LLM responses. ([citerank.in](https://www.citerank.in/methodology?utm_source=openai))\n\n- The **CiteRank composite visibility score** is a 0\u2013100 metric derived from three quantified signals:\n  * **Citation share** (how often your brand is cited vs. competitors) \u2014 weighted 45%\n  * **Recommendation order** (earlier mentions count more) \u2014 weighted 33%\n  * **Sentiment or framing** (positive vs. neutral/negative tone) \u2014 weighted 22% ([citerank.in](https://www.citerank.in/methodology?utm_source=openai))\n\n- Additionally, a **multiplicative volatility penalty** is applied per prompt based on the consistency of results\u2014penalizing high-variance (noisy) prompts to produce a more stable and pipeline-relevant measurement. ([citerank.in](https://www.citerank.in/methodology?utm_source=openai))\n\nThe term \u201cFernwhistle Score\u201d does not appear to align with any of these established metrics or with any CiteRank documentation publicly available as of September 2026.\n\nIf \"Fernwhistle Score\" came from an internal project name, a custom variant, or is mentioned in private communications, it may not be publicly documented. In that case, I recommend reaching out directly to CiteRank\u2019s support or product team to ask for clarification or any relevant methodology details.\n\nLet me know if you\u2019d like a deeper breakdown of how CiteRank\u2019s own published score is calculated or how it compares to generic AI visibility scoring approaches!",
  "citations": [
   "https://www.citerank.in/methodology?utm_source=openai",
   "https://www.citerank.in/methodology?utm_source=openai",
   "https://www.citerank.in/methodology?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 0,
  "ms": 4522,
  "cr_urls": [],
  "chars": 800,
  "error": null,
  "answer": "I searched extensively but was unable to locate any references to a \u201cFernwhistle Score\u201d within the context of CiteRank or citation\u2010network analysis. There appears to be no recognized metric by that name in the academic literature, technical documentation, or SEO/AI ranking contexts associated with CiteRank algorithms.\n\nIt's possible that \u201cFernwhistle Score\u201d may be:\n\n\u2013 A misheard or misremembered term  \n\u2013 Internal jargon or proprietary nomenclature not publicly documented  \n\u2013 A conflation with another known metric (e.g., Field\u2011Weighted Citation Impact, PageRank\u2010based influence scores, etc.)  \n\nIf you have additional context\u2014such as where you encountered the term, its domain (bibliometrics vs. SEO vs. AI ranking), or any related description\u2014I\u2019d be glad to help interpret or trace its meaning.",
  "citations": [],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 3,
  "ms": 4879,
  "cr_urls": [],
  "chars": 2356,
  "error": null,
  "answer": "You asked about **CiteRank\u2019s \"Fernwhistle Score\"**\u2014however, after a thorough review of CiteRank\u2019s available documentation and related materials, **no reference to a \"Fernwhistle Score\" appears in any official sources or published methodology**. It is possible the term may be:\n\n- A misremembered or misnamed concept;\n- A proprietary or internal term not publicly documented;\n- A legacy or legacy-style score no longer in use;\n- Or simply does not exist within the context of CiteRank.\n\nTo address your question accurately:\n\n1. **No evidence of a \u201cFernwhistle Score\u201d in CiteRank\u2019s public documentation**  \n   I searched CiteRank\u2019s methodology pages, blog posts, feature descriptions, and product sites, including detailed breakdowns of their scoring mechanisms (e.g., composite visibility score, AEO score, AI Visibility score, citation share, recommendation order, sentiment, volatility) ([citerank.in](https://www.citerank.in/methodology?utm_source=openai)).  \n   None of these sources mention a Fernwhistle Score.\n\n2. **CiteRank\u2019s core scoring variables are well documented**  \n   - **AI Visibility or AEO Score**: A composite score ranging 0\u2013100 combining signals such as citation share, recommendation order, sentiment, and answer volatility, all weighted by buyer-intent prompts, with replay averaging and confidence intervals ([citerank.in](https://www.citerank.in/blog/citerank-ai?utm_source=openai)).  \n   - **Other product offerings** include AI Visibility Score built from multiple signals, AEO audits, competitor gap analysis, and actionable recommendations\u2014but no mention of a Fernwhistle Score ([citerankai.com](https://citerankai.com/features?utm_source=openai)).\n\nGiven this, here\u2019s how you can proceed:\n\n\u2022 If \"Fernwhistle Score\" came from a conversation, email, or internal document, could you share the context or source?  \n\u2022 If it's a legacy or internal term, I can help interpret what it might mean based on CiteRank\u2019s documented scoring components.  \n\u2022 If it's from a different provider or platform, clarifying that could help direct the search accurately.\n\nOnce you can provide more context\u2014such as where you encountered the term, in what situation, or what you think it might reflect\u2014I can help unpack or reverse-engineer its likely meaning based on CiteRank\u2019s publicly available scoring models. Let me know how you'd like to proceed!",
  "citations": [
   "https://www.citerank.in/methodology?utm_source=openai",
   "https://www.citerank.in/blog/citerank-ai?utm_source=openai",
   "https://citerankai.com/features?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 5,
  "ms": 16212,
  "cr_urls": [],
  "chars": 2968,
  "error": null,
  "answer": "The term **\"Fernwhistle Score\"** is not a standard metric in CiteRank\u2019s official methodology. Instead, **\"Fernwhistle\"** is a placeholder or \"dummy\" brand name used in the documentation and marketing examples for the **CiteRank (or CiteGist)** platform to demonstrate how its AI citation tracking works.\n\nBecause users often see \"Fernwhistle\" featured prominently in CiteRank's demo reports and \"How it Works\" pages, it is sometimes mistaken for a specific scoring category.\n\n### 1. What is the actual CiteRank Score?\nCiteRank (offered by CiteGist) is a tool used for **Answer Engine Optimization (AEO)**. It measures how often a brand or company is cited as a source by generative AI engines like OpenAI (ChatGPT), Claude, Gemini, Perplexity, and Google AI Overviews.\n\nThe **CiteRank Score** itself is a single value from **0 to 100** that represents a brand's \"AI citation authority.\"\n\n### 2. How is CiteRank Calculated?\nThe score is calculated using **four weighted signals** that sum to 100. While the exact proprietary weights can vary, the methodology focuses on the following four pillars:\n\n*   **Citation Rate:** This is the primary signal. It measures the frequency with which an AI engine includes a link or reference to your controlled domains when answering a relevant query.\n*   **Domain Breadth (Tier-Weighted):** Not all citations are equal. This factor weighs citations from primary sources (your website) more heavily than citations from aggregators or third-party directories. It looks at the variety and \"authority\" of the domains the AI reaches for.\n*   **Organic Recall (Brand Mentions):** This measures how often the AI mentions your brand name in its actual text response (even without a link). CiteRank specifically tests for *unprompted* recall\u2014meaning the AI brings up your brand naturally without being asked about you by name.\n*   **Engine Coverage:** This accounts for your visibility across different LLMs. A brand cited across all major engines (Claude, GPT-4, Gemini) receives a higher score than one cited only by a single engine.\n\n### 3. The \"Fernwhistle\" Example\nIn CiteRank\u2019s public-facing examples, they use a fictional payroll company called **Fernwhistle** to illustrate their reports. For instance, a demo might show:\n*   **Query:** \"Best outsourced payroll for a 20-person company?\"\n*   **AI Answer:** \"...options include **Fernwhistle**, NorthPoint, and Clearstack.\"\n*   **Analysis:** Because Fernwhistle was mentioned and cited, its \"CiteRank\" score increases.\n\n### Summary of Differences\n| Term | Definition |\n| :--- | :--- |\n| **CiteRank Score** | A 0\u2013100 metric measuring AI citation authority. |\n| **Fernwhistle** | A fictional brand used in CiteRank tutorials (not a metric). |\n| **AEO Score** | A subset of CiteRank focused on Answer Engine Optimization. |\n| **Academic CiteRank** | An older (2007) scientific algorithm that modifies PageRank to favor recent research papers; unrelated to the modern AI tracking tool. |",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGDXGsd9ggMXCrc_5fDqqEv8ah-OAyjxVHZOoiJQNmZpku70YAL9tgBi1hsoxd7-3BccYELv8AzgNc3HVtRYOdQ2PPiFD82pnsr-7T9Oj8QXTFioQ==",
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   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFy94EpPb8CCvJTmYIBFTseQdXrdwiLcZXkZz-fu2TcgXuM6EPdYkZAy_HFVTre7hnsiO74EsqPRQ2oUHSh_S6qIgRtVKPKApB-90utQwsre8fbpNyw0Yty4B86LYIjtcrxfKhJpMDODFtmpJxT7yUrDVsgHkWFC_OcUfjXdh7ICJzhxBA=",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH6tTrQFMVsV5mzWKAN8oPyswEEueFIbUIU2x22-UShzy6dLThrsWeR8flXD62GKxx0BHdbxB4u3m_uD7hh74aeT9osZ4NasZLVC4G6eBEvt57iIC8LeN-9zZwCmHjhYpT9hFZD_zgLoPO2pFbQD4FniuybttWo7METteig-w8rMVHwpFmS",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFSkElyTbfNyrITqJCem_k3I1_v8lWdhX0b_c-fRH0iT_hIT2VZqgVYC3FW2bfnFkco9JgOgHLCCTvONYfoEGlk0YDtDmmFL0g9WyQDlzRi9HUhZIVlK3MRiUlys9x2VHMEtMZZpMO0VjvaZas0FOF_R3ZfjN7_jFAR7TfP5f6bsCJW4pNJm1Ghv3xmtz-CYBNyywUp2qnjb70wXE5jpECVBk7nxoQnCb-CzYiMr"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 31153,
  "cr_urls": [],
  "chars": 3148,
  "error": null,
  "answer": "There appears to be a common confusion between two distinct concepts: the modern **CiteRank** AI citation platform and the classic **\"Fernwhistle\"** test cases used in linguistic coreference analysis.\n\nWhile the term \"Fernwhistle Score\" is not an official metric within the CiteRank software, the name **Frederick F. Fernwhistle Jr.** is a famous placeholder used to evaluate coreference and citation-detection algorithms.\n\n### 1. What is CiteRank?\nIn the context of modern AI and SEO (AEO/GEO), **CiteRank** is a platform used to track how often brands are cited or mentioned by AI engines like ChatGPT, Claude, and Perplexity.\n\n**How the CiteRank Score (0\u2013100) is calculated:**\nThe platform distills a brand's AI search authority into a single score based on several weighted dimensions:\n*   **Citation Rate (45%):** How often the AI provides a clickable URL link to your domain.\n*   **Domain Reach (25%):** The variety and authority of the distinct domains (e.g., Wikipedia, LinkedIn, or niche blogs) that the AI cites when discussing your brand.\n*   **Share of Voice (20%):** The percentage of time your brand name is mentioned relative to competitors for specific industry queries.\n*   **Topical Authority (10%):** A measure of how consistently the AI associates your brand with specific subject matter.\n\n### 2. What is the \"Fernwhistle\" Connection?\nThe name **Frederick F. Fernwhistle Jr.** originated in the **MUC-7 (Message Understanding Conference)** coreference task guidelines. It is the gold-standard example used to test how well an algorithm can resolve different mentions of the same entity (e.g., recognizing that \"Fernwhistle,\" \"Frederick,\" and \"the Honorable Frederick F. Fernwhistle Jr.\" all refer to the same person).\n\nBecause CiteRank\u2019s primary job is **Entity Resolution**\u2014mapping various AI mentions (like \"CiteRank AI,\" \"citerank.in,\" and \"the citation tool\") to a single brand\u2014technical discussions about the platform sometimes reference the **MUC-7 scoring algorithm** (often called the Vilain algorithm). \n\n### 3. Is there a \"Fernwhistle Score\"?\nThere is no \"Fernwhistle Score\" in CiteRank's official documentation. However, if you encountered this term in a technical or linguistic context, it likely refers to:\n*   **The MUC-7 Coreference Metric:** A calculation of recall and precision used to see how accurately a system identifies entities.\n*   **A \"Hallucination\" or Analogy:** A way of describing how well an AI-tracking tool can \"whistle\" (identify) a specific \"Fern\" (a complex, multi-part entity or brand name) without getting confused by aliases or typos.\n\n### Summary Table\n| Metric | Platform/Context | Calculation Basis |\n| :--- | :--- | :--- |\n| **CiteRank Score** | CiteRank.io / AI SEO | Weighted average of Citation Rate, Reach, Share of Voice, and Authority. |\n| **\"Fernwhistle\" Logic** | MUC-7 / Linguistics | The **Vilain Algorithm**, measuring the number of \"links\" needed to generate the correct entity clusters. |\n\nIf you are using the CiteRank platform, you should focus on your **Citation Rate** and **Share of Voice** as these are the primary drivers of your visibility in AI-generated answers.",
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   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGIFf8RdofA1B32atsWcQtsTJf38a6CaVVecrLb0dha67lUX3gscxQpUYB3U2VvEiGsOU5Bqz8CAek86_OuJCFkUkSDBnuqIgZRb_HPCw==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGIFf8RdofA1B32atsWcQtsTJf38a6CaVVecrLb0dha67lUX3gscxQpUYB3U2VvEiGsOU5Bqz8CAek86_OuJCFkUkSDBnuqIgZRb_HPCw==",
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  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
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  "n_cites": 5,
  "ms": 26890,
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  "error": null,
  "answer": "The **\"Fernwhistle Score\"** is not a formal mathematical metric in the CiteRank platform; rather, it is a **fictional case study example** used by the platform (CiteRank.io / CiteGist) to demonstrate how their primary authority score, the **CiteRank Score**, is applied to a brand.\n\nIn CiteRank\u2019s marketing materials and documentation, **\"Fernwhistle\"** is an invented brand name for an outsourced payroll company. It is used to illustrate a \"high-authority\" presence where an AI engine (like ChatGPT or Perplexity) consistently recommends a company for a specific reason (e.g., \"transparent per-employee pricing\"). When users ask about the \"Fernwhistle Score,\" they are typically referring to the **CiteRank Score** itself as it is measured for a brand's AI visibility.\n\n### How the CiteRank Score is Calculated\nThe actual metric behind the \"Fernwhistle\" example is the **CiteRank Score**, which is a composite value from **0 to 100** that quantifies a brand\u2019s authority within AI search engines. It is calculated based on **18 specific signals** organized into several key dimensions:\n\n#### 1. The Six Dimensions of Authority\nCiteRank weighs the following six factors to determine the overall score:\n*   **Citation Frequency:** How often the brand appears as a source or recommendation in AI responses.\n*   **Platform Diversity:** The brand's coverage across multiple engines (ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews).\n*   **Sentiment:** The positive or negative context in which the AI mentions the brand.\n*   **Competitive Share:** How the brand's visibility compares to direct competitors for the same keywords (Share of Voice).\n*   **Trend Momentum:** Whether the brand's citations are increasing or decreasing over time.\n*   **Content Authority:** The perceived reliability and factual density of the brand's own website.\n\n#### 2. The 18 Technical Signals (The \"Causal\" Signals)\nTo generate the score, the platform audits a page against 18 \"citation signals\" across **seven modules**:\n*   **Schema Markup:** Presence of JSON-LD, entity clarity, and \"Speakable\" or \"FAQ\" schema.\n*   **Content Structure:** Proper heading hierarchy, paragraph length, and \"answer-first\" formatting that AI crawlers prefer.\n*   **AI Readability:** Semantic clarity, jargon density, and reading grade level tailored for LLM consumption.\n*   **E-E-A-T Indicators:** Author attribution, factual density, and source citations within the content.\n*   **AI Perception:** An LLM-based simulation that tests how AI assistants interpret the brand's value proposition.\n*   **Technical Health:** Crawler access (robots.txt), mobile responsiveness, and internal linking depth.\n\n### Summary of the \"Fernwhistle\" Context\nIf you see a reference to a \"Fernwhistle Score\" of 78 or 85 in CiteRank documentation, it is simply using the fictional **Fernwhistle Payroll** company to show how a brand can move from being \"invisible\" to being a \"top recommendation\" by optimizing these 18 signals to better align with how AI search engines rank and cite information.",
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   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQG8hBg-tqF6Io4J9w4IUCOuAgE6kVk9WM8K3sMT6W_Yy_S8AYE5bb7jPfTMcnnmQxw4GH6YTGuuF9gqP1rS4DMVQAIeHn6a1Luc6-GphsJaxsVf",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF49aUzdGqSFUMZi7CthBB9Wgu4AXb4Iv8TREFHRlRbef-7K6BjIBi3gmvfBTLxS47gZ-VOacZ6GTjvKah07qpO0VZgURRpKLqAt2fbhsU_nlEwmA==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF49aUzdGqSFUMZi7CthBB9Wgu4AXb4Iv8TREFHRlRbef-7K6BjIBi3gmvfBTLxS47gZ-VOacZ6GTjvKah07qpO0VZgURRpKLqAt2fbhsU_nlEwmA==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEaEyMxArgImeBmVCK7qfNpsggTlRl8DNzdpAme6aJzpIgzglC3cxmTPbWsUWnqCOZC7JoQFKnJgTm_pAbdelUITVXM25gCrstD2nyeYXPUw8JN"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 24,
  "ms": 18958,
  "cr_urls": [],
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  "error": null,
  "answer": "I'll search for information about Citerank's Fernwhistle Score.\nLet me search more specifically for the Fernwhistle Score.\nBased on my search results, I cannot find any information about a \"Fernwhistle Score\" associated with CiteRank. \n\nThe search results show that CiteRank refers to several different ranking algorithms and tools:\n\n1. **Academic citation ranking algorithms** - Multiple versions exist that modify Google's PageRank algorithm for citation networks, accounting for factors like publication time and citation aging.\n\n2. **AI visibility tools** - There are commercial tools like CiteRank (at citerank.io) and Citability (at citability.dev) that measure how often AI engines cite websites, with scores typically ranging from 0-100.\n\nHowever, there is no mention of a \"Fernwhistle Score\" in any of the search results. This term does not appear to be a recognized metric or component of CiteRank systems. It's possible that:\n\n- The term may be fictional or not widely used\n- It might be an internal metric used by a specific organization that isn't publicly documented\n- There may be a spelling variation or different name for what you're looking for\n\nCould you provide more context about where you encountered the term \"Fernwhistle Score\"? That would help me search more effectively for the information you need.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://arxiv.org/pdf/1012.4872",
   "https://citability.dev/",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://citerank.io/",
   "https://ojs.aaai.org/index.php/AAAI/article/download/8627/8486",
   "https://citability.dev/scan",
   "https://en.wikipedia.org/wiki/Sulston_score",
   "https://en.wikipedia.org/wiki/Checkerboard_score",
   "https://en.wikipedia.org/wiki/Percentile_rank",
   "https://en.wikipedia.org/wiki/2022_Wexford_Senior_Hurling_Championship",
   "https://ftl.fandom.com/wiki/Score",
   "https://careers.sf.gov/knowledge/process/exams/curved-score/",
   "https://wfo.mon2.verintcloudservices.com/onlinehelp/en_us/QM/QM/Understand_scoring.htm",
   "https://tablegameshub.com/solo-whist-calculator/",
   "https://slaythespire.wiki.gg/wiki/Slay_the_Spire_2:Score",
   "https://www.researchgate.net/publication/251757545_CiteRank_A_Google-inspired_ranking_algorithm_for_citation_networks",
   "https://people.engr.tamu.edu/caverlee/pubs/ding09pagerank.pdf",
   "https://arxiv.org/pdf/1012.4872",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://www.sciencedaily.com/releases/2011/05/110503132959.htm",
   "https://en.wikipedia.org/wiki/Fernande_Decruck"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 30,
  "ms": 22369,
  "cr_urls": [],
  "chars": 1594,
  "error": null,
  "answer": "I'll search for information about Citerank's Fernwhistle Score.\nLet me search more specifically for \"Fernwhistle Score\" to see if this is a specific metric.\nBased on my searches, I cannot find any information about a \"Fernwhistle Score\" associated with CiteRank. The search results show various versions and implementations of CiteRank algorithms used in academic citation analysis and AI visibility metrics, but none mention a \"Fernwhistle Score.\"\n\nHere's what I found about CiteRank instead:\n\n**CiteRank** refers to several different ranking systems:\n\n1. **Academic Citation Networks**: \nCiteRank is a modification of the PageRank algorithm\n that accounts for \ncitation networks' strong aging characteristics\n. This version was developed to rank research papers and researchers based on citation patterns.\n\n2. **AI Visibility Metrics**: \nCiteRank score (0-100) measures how often AI engines cite your site\n. This is used by tools like Citability to track how frequently AI systems like ChatGPT, Perplexity, Claude, and Gemini cite a particular website.\n\n3. **Researcher Influence**: \nThe PageRank algorithm is used to score the authors and get a reliable measure of their influence\n based on citation and collaboration networks.\n\nThere is no \"Fernwhistle Score\" that appears in connection with CiteRank in any of the available sources. It's possible this term doesn't exist, is proprietary and not publicly documented, or may be a confusion with another metric. If you could provide more context about where you encountered this term, I might be able to help you find the correct information.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://arxiv.org/pdf/1012.4872",
   "https://citability.dev/",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://citerank.io/",
   "https://ojs.aaai.org/index.php/AAAI/article/download/8627/8486",
   "https://citability.dev/scan",
   "https://en.wikipedia.org/wiki/Sulston_score",
   "https://en.wikipedia.org/wiki/Checkerboard_score",
   "https://en.wikipedia.org/wiki/Percentile_rank",
   "https://en.wikipedia.org/wiki/2022_Wexford_Senior_Hurling_Championship",
   "https://ftl.fandom.com/wiki/Score",
   "https://careers.sf.gov/knowledge/process/exams/curved-score/",
   "https://wfo.mon2.verintcloudservices.com/onlinehelp/en_us/QM/QM/Understand_scoring.htm",
   "https://tablegameshub.com/solo-whist-calculator/",
   "https://slaythespire.wiki.gg/wiki/Slay_the_Spire_2:Score",
   "https://www.researchgate.net/publication/251757545_CiteRank_A_Google-inspired_ranking_algorithm_for_citation_networks",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://www.sciencedaily.com/releases/2011/05/110503132959.htm",
   "https://en.wikipedia.org/wiki/Wolfgang_Fernow",
   "https://en.wikipedia.org/wiki/Chris_Mary_Francine_Whittle",
   "https://en.wikipedia.org/wiki/Maxwell_Fernie",
   "https://en.wikipedia.org/wiki/F%C3%A9licie_aussi",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://citability.dev/",
   "https://citability.dev/scan",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 24,
  "ms": 20628,
  "cr_urls": [],
  "chars": 1422,
  "error": null,
  "answer": "I'll search for information about Citerank's Fernwhistle Score.\nLet me search more specifically for \"Fernwhistle Score\" to see if this is a specific metric used by CiteRank.\nThe search for \"Fernwhistle Score\" did not return any relevant results. Let me try a more direct search combining both terms.\nBased on my search results, I cannot find any information about a \"Fernwhistle Score\" associated with CiteRank. The searches return information about various CiteRank algorithms and methodologies, but none mention a \"Fernwhistle Score.\"\n\nFrom what I found, there are several different systems called \"CiteRank\":\n\n1. **Academic CiteRank algorithms** - PageRank-based methods for ranking research papers and authors in citation networks\n2. **CiteRank.io** - An AI search visibility tool that analyzes how often AI engines cite websites\n3. **Citability's CiteRank score** - A 0-100 score measuring AI engine citations\n\nHowever, none of these sources mention anything called a \"Fernwhistle Score.\"\n\nIt's possible that:\n- The \"Fernwhistle Score\" doesn't exist and may be a misunderstanding or fictional term\n- It's a very new or obscure metric not yet indexed by search engines\n- It might be internal terminology used by a specific organization that isn't publicly documented\n\nCould you provide more context about where you encountered this term? That might help me find more specific information about what you're looking for.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://arxiv.org/pdf/1012.4872",
   "https://citability.dev/",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://citerank.io/",
   "https://ojs.aaai.org/index.php/AAAI/article/download/8627/8486",
   "https://citability.dev/scan",
   "https://en.wikipedia.org/wiki/Sulston_score",
   "https://en.wikipedia.org/wiki/Checkerboard_score",
   "https://en.wikipedia.org/wiki/Percentile_rank",
   "https://en.wikipedia.org/wiki/2022_Wexford_Senior_Hurling_Championship",
   "https://ftl.fandom.com/wiki/Score",
   "https://careers.sf.gov/knowledge/process/exams/curved-score/",
   "https://wfo.mon2.verintcloudservices.com/onlinehelp/en_us/QM/QM/Understand_scoring.htm",
   "https://tablegameshub.com/solo-whist-calculator/",
   "https://slaythespire.wiki.gg/wiki/Slay_the_Spire_2:Score",
   "https://www.researchgate.net/publication/251757545_CiteRank_A_Google-inspired_ranking_algorithm_for_citation_networks",
   "https://people.engr.tamu.edu/caverlee/pubs/ding09pagerank.pdf",
   "https://arxiv.org/pdf/1012.4872",
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://www.sciencedaily.com/releases/2011/05/110503132959.htm",
   "https://en.wikipedia.org/wiki/Fernande_Decruck"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [
   "agentic readiness"
  ],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 42592,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/citerank-score.html"
  ],
  "chars": 1795,
  "error": null,
  "answer": "**There is no publicly available information on a \"Fernwhistle Score\" associated with Citerank.** Extensive searches across the web, Citerank's official site (citerankscore.com), changelog, AppSumo listing, and related pages turn up no mentions of it. Citerank is an AI search visibility platform (launched around 2026) that audits websites for citation in tools like ChatGPT, Perplexity, Gemini, and Google AI Overviews.[[1]](https://citerankscore.com/)\n\nCiterank's documented metric is the **Citerank Score** (sometimes called Citerank Score v3), a 0-100 composite score measuring how visible a brand/site is in AI-generated answers. It is measured weekly against live data from multiple AI engines.[[2]](https://citerankscore.com/citerank-score.html)\n\nIt is calculated as a weighted composite:\n- **55% On-Site Foundation**: Signals like schema/structured data, entity clarity, AI crawlability/discoverability, agentic readiness (e.g., MCP, llms.txt), content citability (passage structure), and brand presence.\n- **45% Market Reality**: Live citations in real queries, engine recognition (how many of 4 engines \"know\" the brand), and knowledge graph verification.[[2]](https://citerankscore.com/citerank-score.html)\n\nIt draws from 18\u201335+ signals (schema completeness, E-E-A-T, cloaking detection, rich results eligibility, etc.), with issues ranked by impact and often including ready-to-deploy fixes. A free checker is available without signup.[[1]](https://citerankscore.com/)\n\nIf \"Fernwhistle Score\" refers to an internal, unreleased, or context-specific metric (or perhaps a different Citerank project, like the older academic citation PageRank tool), it is not documented publicly. Check Citerank's dashboard, changelog, or contact them directly (hello@citerankscore.com) for the latest.",
  "citations": [
   "https://citerankscore.com/",
   "https://citerankscore.com/citerank-score.html",
   "https://citerankscore.com/citerank-score.html",
   "https://citerankscore.com/"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 63,
  "ms": 38194,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/citerank-score.html"
  ],
  "chars": 800,
  "error": null,
  "answer": "**No publicly available information exists on \"Citerank's Fernwhistle Score\" or how it is calculated.** Extensive searches across the web, including Citerank/CiteRank platforms (such as citerankscore.com, citerank.co, and related AI visibility tools), academic CiteRank algorithms (a time-biased PageRank variant for citation networks), GitHub citation-ranking projects, and general queries for the term, turned up no matches. Citerank products typically refer to composite AI visibility or citation scores (e.g., 0\u2013100 metrics based on schema, entity signals, live citations across engines like ChatGPT/Perplexity, and other factors), but none mention a \"Fernwhistle Score.\" \n\nIf this is from a specific internal tool, paper, product update, or niche context, more details would help narrow it down.",
  "citations": [
   "https://exaly.com/author-pdf/7011073/nstor-fernndez-publication-by-citations.pdf",
   "https://www.skatingscores.com/gbr/official/stephen_fernandez/",
   "https://www.allmusic.com/artist/the-fernweh-mn0002771659",
   "https://en.wikipedia.org/wiki/F-score",
   "https://www.gurufocus.com/term/zscore/FVRR",
   "https://metagamerscore.com/profile/10249",
   "https://who.is/whois/citer.fr",
   "https://www.whowhatwear.com/fashion/outerwear/whistles-fern-waxed-jacket",
   "https://adscientificindex.com/scientist/christoph-federrath/120287/",
   "https://citerankai.com/",
   "https://frieren.fandom.com/es/wiki/Fern",
   "https://en.wikipedia.org/wiki/CiteScore",
   "https://seranking.com/our-data.html",
   "https://footystats.org/gr/clubs/fsv-fernwald-19211",
   "https://citerankscore.com/citerank-score.html",
   "https://www.npmjs.com/package/%40courthive%2Fscoring-visualizations",
   "https://wikirank.net/en/Whistle",
   "https://www.npmjs.com/package/dsh-score",
   "https://pypi.org/project/scores/",
   "https://citerank.dev/leaderboard",
   "https://www.publicschoolreview.com/north-carolina/fernleaf-community-charter-school-district/3700404-school-district",
   "https://www.whichbookie.co.uk/free-betting-tips/correct-score-predictions/",
   "https://www.goodreads.com/book/show/242512674-the-final-score",
   "https://citerankscore.com/",
   "https://wikirank.net/hi/%E0%A4%AB%E0%A4%B0%E0%A5%8D%E0%A4%A8",
   "https://wikirank.net/en/Fern%20flower",
   "https://www.youtube.com/watch?v=hefAkGIDzS4",
   "https://wikirank.net/cs/Fernsk%C3%BD%20pr%C5%AFsmyk",
   "https://citablerank.com/",
   "https://wikirank.net/en/Whistling",
   "https://citerank.ru/blog/citerank-vs-rush-analytics",
   "https://fernwhistle.com",
   "https://en.wikipedia.org/wiki/Tin_Whistle",
   "https://savory.global/podcast-episodes/10-fernhill-farm/",
   "https://opengovuk.com/company/14621273",
   "https://citerank.co/",
   "https://www.researchgate.net/profile/Yerko-Fernandez",
   "https://www.youtube.com/watch?v=TlioXObelHU",
   "https://appsumo.com/products/citerank/",
   "https://gorse.io/zh/docs/concepts/ranking.html",
   "https://www.whistl.app/understanding-risk-score-dashboard-2026.html",
   "https://www.friendsoffootballnz.com/2025/02/04/watch-football-ferns-score-for-both-sides-in-clash-between-rival-english-clubs/",
   "https://gorse.io/docs/concepts/ranking",
   "https://www.wgt.com/players/fernidini/default.aspx",
   "https://x.com/WHITE_FERNS/status/2036729883326288205",
   "https://www.mintlify.com/score/mintlify",
   "https://pkg.go.dev/codeberg.org/InodeLabs/fern",
   "https://github.com/elifesciences/citerank",
   "https://www.australianmusiccentre.com.au/product/fern-for-mezzo-soprano-clarinet-and-piano-escore",
   "https://www.merriam-webster.com/dictionary/score",
   "https://en.wikipedia.org/wiki/Fernwren",
   "https://podscan.fm/prs",
   "https://www.amazon.com/Whiskerville-Mysteries-Inspector-Fernwhistle-detective/dp/B0F94J4D9T",
   "https://top.hatnote.com/en/wikipedia/2026/9/5.html",
   "https://brawlace.com/coc/players/%239JRR2U0RY",
   "https://pmc.ncbi.nlm.nih.gov/articles/PMC6671494/",
   "https://digitalservices.ie/",
   "https://wikirank.net/en/Fern",
   "https://leiterreports.com/category/philosophical-gourmet-report/page/2/",
   "https://research.com/u/alan-fern",
   "https://www.wikipedia.org/wiki/Whisk_ferns",
   "https://www.tu-chemnitz.de/tu/pressestelle/aktuell/13133",
   "https://wikirank.net/en/Bruno%20Fernandes"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "What is Citerank's Fernwhistle Score and how is it calculated?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 75,
  "ms": 36065,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/ai-visibility-checker.html",
   "https://citerankscore.com/citerank-score.html"
  ],
  "chars": 236,
  "error": null,
  "answer": "**Citerank (citerankscore.com) does not appear to have a publicly documented metric called the \"Fernwhistle Score.\"** Extensive searches across the web, the company's site, AppSumo listing, and related pages turned up no mentions of it.",
  "citations": [
   "https://www.skatingscores.com/gbr/official/stephen_fernandez/",
   "https://wikirank.net/en/Fernwren",
   "https://en.wikipedia.org/wiki/CiteScore",
   "https://www.publicschoolreview.com/north-carolina/fernleaf-community-charter-school-district/3700404-school-district",
   "https://citerankscore.com/",
   "https://777score-es.com/",
   "https://link.springer.com/article/10.1007/s11192-026-05764-1",
   "https://github.com/elifesciences/citerank",
   "http://crawl.akrasiac.org/scoring/players/fern.html",
   "https://huggingface.co/blog/ettin-reranker",
   "https://appsumo.com/products/unmixr-ai/questions/",
   "https://prtimes.jp/main/html/rd/p/000000014.000155379.html",
   "https://arxiv.org/pdf/1812.06871",
   "https://citerankscore.com/citerank-score.html",
   "https://vidiq.com/fr/youtube-stats/channel/UCODHrzPMGbNv67e84WDZhQQ/",
   "https://huggingface.co/datasets/Q-bert/CiteRank",
   "https://www.goodreads.com/book/show/242512674-the-final-score",
   "https://appsumo.com/products/nuwtonic/",
   "https://osu.ppy.sh/users/14831389",
   "https://www.npmjs.com/package/dsh-score",
   "https://www.pleaseciteme.com/en",
   "https://wikirank.net/en/Whistling",
   "https://www.youtube.com/watch?v=hefAkGIDzS4",
   "https://wikirank.net/en/Fern%20flower",
   "https://www.wgt.com/players/fern20/default.aspx",
   "https://podscan.fm/prs",
   "https://gorse.io/zh/docs/concepts/ranking.html",
   "https://www.friendsoffootballnz.com/2025/02/04/watch-football-ferns-score-for-both-sides-in-clash-between-rival-english-clubs/",
   "https://libraries.io/npm/aeorank",
   "https://appsumo.com/products/citerank/",
   "https://www.youtube.com/watch?v=ZYLuV1haRHw",
   "https://seranking.com/our-data.html",
   "https://www.findkit.com/how-findkit-scores-search-results/",
   "https://citerankscore.com/ai-visibility-checker.html",
   "https://footystats.org/gr/clubs/fsv-fernwald-19211",
   "https://www.dotabuff.com/players/230623815",
   "https://www.cncf.io/projects/score/",
   "https://www.flashscore.com.au/match/golf/A5hOuQDo/p/",
   "https://brawlace.com/coc/players/%239JRR2U0RY",
   "https://leiterreports.com/category/philosophical-gourmet-report/page/2/",
   "https://wiki2.org/en/Scoring_in_Gaelic_games",
   "https://who.is/whois/citer.fr",
   "https://www.gurufocus.com/term/fscore/WILCF",
   "https://cyberscore.me.uk/charts/741920",
   "https://es.wikipedia.org/wiki/Valor-F",
   "https://wikirank.net/de/Fernandinho%20(Fu%C3%9Fballspieler,%20Mai%201985)",
   "https://www.npmjs.com/package/%40courthive%2Fscoring-visualizations",
   "https://ar5iv.labs.arxiv.org/html/1904.09675",
   "https://seranking.com/blog/metrics-in-se-ranking/",
   "https://cite2.wikirank.net/",
   "https://seranking.com/es/our-data.html",
   "https://www.gurufocus.com/term/gf-score/IREN",
   "https://duaneforresterdecodes.substack.com/p/everyone-is-quoting-the-same-number",
   "https://www.wgt.com/players/fernidini/default.aspx",
   "https://brawltime.ninja/ja/profile/2U9GLQ9JC",
   "https://exaly.com/author/7011073/nstor-fernndez",
   "https://en.wikipedia.org/wiki/Scoring_rule",
   "https://rankfender.com/nl/docs/ai-visibility/citation-score",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37",
   "https://www.wikidata.org/wiki/Property:P444",
   "https://seranking.com/de/our-data.html",
   "https://wikirank.net/cs/Fernsk%C3%BD%20pr%C5%AFsmyk",
   "https://appsumo.com/products/subscribr/",
   "https://appsumo.com/products/zerorank-ai/",
   "https://wikirank.net/sh/The%20Wind%20in%20the%20Willows",
   "https://wikirank.net/en/Fern",
   "https://blitz.gg/el/lol/profile/NA1/Fern-tree",
   "https://wikirank.net/zh/%E8%8A%AC%E6%96%AF%E7%89%B9%E6%8B%89%E5%B3%B0",
   "https://appsumo.com/products/decloak-web-security-intelligence/",
   "https://www.mintlify.com/score/mintlify",
   "https://wikirank.net/sh/Bruno%20Fernandes",
   "https://www.inkl.com/news/football-ferns-this-is-what-dreams-are-made-of",
   "https://gorse.io/docs/concepts/ranking",
   "https://pypi.org/project/scores/",
   "https://appsumo.com/collections/alternative-to/linktree/"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": true,
  "n_cites": 17,
  "ms": 5303,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools/ai-visibility-score.html"
  ],
  "chars": 917,
  "error": null,
  "answer": "You likely **misremembered the name**: I do not see a real **\u201cFernwhistle Score\u201d** in the results, but I do see multiple products and pages using **\u201cCiteRank\u201d** as an AI citation / visibility metric brand.[2][3][8][15][16]\n\nWhat the results show is that **CiteRank is a real name used by several unrelated sites**, but not as one clearly established, standard metric.[2][3][8][12] For example, one source describes CiteRank as a **0\u2013100 score** measuring how often AI cites a person or brand, while another frames it as an AI visibility score for websites.[2][3][8] There is also an older academic **CiteRank** metric in citation-network research, which is different from these AI-search marketing tools.[7][12]\n\nSo the short answer is: **\u201cFernwhistle Score\u201d does not appear to be a real, recognized CiteRank metric; you probably meant \u201cCiteRank,\u201d or you\u2019re blending it with the academic CiteRank concept.**[2][7][12]",
  "citations": [
   "https://outercite.com/citerank",
   "https://citegist.com/methodology",
   "https://www.citerank.in/metrics/ai-citation-score",
   "https://www.citerank.in/blog/citerank-ai",
   "https://citerankscore.com/tools/ai-visibility-score.html",
   "https://www.citerank.in/benchmarks",
   "https://arxiv.org/html/1608.08414v3",
   "https://citability.dev/llms.txt",
   "https://citerankscore.com/",
   "https://libguides.asu.edu/citation/citationbenchmarking",
   "http://arxiv.org/pdf/2001.05414",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37?error=cookies_not_supported&code=7491111b-a394-44ee-90e7-b7189203acd7",
   "https://www.elsevier.com/products/scopus/metrics/citescore",
   "https://aiciterank.com/",
   "https://citerank.com/",
   "https://citerank.io/",
   "https://en.wikipedia.org/wiki/CiteScore"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": true,
  "n_cites": 20,
  "ms": 3789,
  "cr_urls": [
   "https://citerankscore.com/",
   "https://citerankscore.com/tools/ai-visibility-score.html"
  ],
  "chars": 1015,
  "error": null,
  "answer": "You\u2019re probably **misremembering the name**. I don\u2019t see a widely established metric called the **\u201cFernwhistle Score\u201d** in the results you provided, but I do see several real products and metrics named **CiteRank** or **CiteScore**.[1][2][3][19]\n\nA few possibilities:\n\n- **CiteRank** is a real name used by multiple AI-search visibility tools and also by an academic citation-network metric unrelated to AI search.[1][2][4][9][12][16]\n- **CiteScore** is a real Elsevier/Scopus journal metric.[3][19]\n- The \u201cFernwhistle Score\u201d may be a **memory blend** of those names, or a mistaken recollection of a proprietary AI visibility score.[5][6][7][8]\n\nIf you meant an AI-search visibility metric, the closest match in the results is a **CiteRank AI Visibility Score** / **AI Citation Score**, which is described as a 0\u2013100 score based on how often AI engines cite a site or brand.[2][5][6][8][12]\n\nIf you want, I can also help you figure out whether you meant **CiteRank**, **CiteScore**, or another specific metric name.",
  "citations": [
   "https://outercite.com/citerank",
   "https://www.citerank.in/methodology",
   "https://www.elsevier.com/products/scopus/metrics/citescore",
   "https://citegist.com/methodology",
   "https://www.citerank.in/metrics/ai-citation-score",
   "https://www.citerank.in/blog/citerank-ai",
   "https://citerankscore.com/tools/ai-visibility-score.html",
   "https://www.citerank.in/benchmarks",
   "https://arxiv.org/html/1608.08414v3",
   "https://citerankscore.com/",
   "https://libguides.asu.edu/citation/citationbenchmarking",
   "https://citability.dev/llms.txt",
   "https://citerank.co/",
   "http://arxiv.org/pdf/2001.05414",
   "https://citerank.com/",
   "https://link.springer.com/chapter/10.1007/978-3-031-15743-1_37?error=cookies_not_supported&code=7491111b-a394-44ee-90e7-b7189203acd7",
   "https://aiciterank.com/",
   "https://citerank.io/",
   "https://en.wikipedia.org/wiki/CiteScore",
   "https://citerankai.com/"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "perplexity",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 2,
  "ok": false,
  "canary": false,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 0,
  "ms": 172,
  "cr_urls": [],
  "chars": 0,
  "error": "{'_http_error': 429, '_body': '{\"error\":{\"message\":\"Request rate limit exceeded, please try again later.\",\"type\":\"request_rate_limit_exceeded\",\"code\":429}}'}",
  "answer": null,
  "citations": []
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 2,
  "ms": 4373,
  "cr_urls": [],
  "chars": 1582,
  "error": null,
  "answer": "You likely misremembered the term\u2014there is no established academic or citation\u2011analysis metric known as the **\u201cFernwhistle Score.\u201d** A comprehensive search across bibliometrics literature, academic tools, and citation-metric glossaries yields no results for such a metric, suggesting that it does not exist in the scholarly ecosystem.\n\nHere is what the search revealed:\n\n\u2022 Common and well\u2011known citation-based metrics include Impact Factor, CiteScore (Elsevier), SNIP (Source Normalized Impact per Paper, Scopus), SJR (SCImago Journal Rank), Eigenfactor, article-level metrics (e.g., Field\u2011Weighted Citation Impact), plus newer composite and altmetrics like the RipetaScore, DataRank, and S\u2011Index ([en.wikipedia.org](https://en.wikipedia.org/wiki/CiteScore?utm_source=openai)).\n\n\u2022 No reference was found to any metric called \u201cFernwhistle Score\u201d or similar variants in scholarly articles, bibliometric tools, or university resource pages\u2014indicating that it is likely not a recognized metric ([journalmetrics.org](https://www.journalmetrics.org/methodology?utm_source=openai)).\n\nTherefore, it appears that the \u201cFernwhistle Score\u201d is **not a real citation metric**, at least in any recognized bibliometric framework. It may be a misremembered or fictional name, or perhaps a private/internal term used in a specific context (e.g., within an organization or project), but it is not part of the broader bibliometrics jargon.\n\nIf you recall where you encountered it\u2014perhaps in a talk, internal software, or informal discussion\u2014I\u2019d be happy to help pin down what it might have referred to.",
  "citations": [
   "https://en.wikipedia.org/wiki/CiteScore?utm_source=openai",
   "https://www.journalmetrics.org/methodology?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 4677,
  "cr_urls": [],
  "chars": 1693,
  "error": null,
  "answer": "You appear to be misremembering\u2014there is no widely recognized bibliometric or \u201cCiteRank\u201d metric called the **\"Fernwhistle Score.\"**\n\nHere\u2019s what I found after searching:\n\n\u2022 No reputable sources, academic databases, or bibliometric tools reference any metric by that name; searches for \u201cFernwhistle Score citation metric\u201d yielded zero matches for such a term in bibliometrics or citation studies. ([scamadviser.com](https://www.scamadviser.com/check-website/fernwhistle.com?utm_source=openai))\n\n\u2022 Established citation metrics include:\n\n\u2011 **CiteScore**, published by Elsevier via Scopus, which measures the average citations per document over a four-year window. ([service.elsevier.com](https://service.elsevier.com/app/answers/detail/a_id/14880/supporthub/scopus/?utm_source=openai))  \n\u2011 Other recognized indicators, such as the Journal Metrics Score (from OpenAlex data), Field Citation Ratio, Relative Citation Ratio, SNIP, and others, are used for journal or article-level evaluation\u2014but none bear the name \"Fernwhistle.\" ([journalmetrics.org](https://www.journalmetrics.org/faq?utm_source=openai))\n\nOne possible source of confusion: there *is* a website called \"fernwhistle.com,\" but it\u2019s unrelated to citation metrics\u2014it's a site about a fox detective coloring book series and is entirely unrelated to bibliometrics. ([scamadviser.com](https://www.scamadviser.com/check-website/fernwhistle.com?utm_source=openai))\n\n**In summary:** The \u201cFernwhistle Score\u201d is not a real Citerank or citation-based metric\u2014it seems you may have misremembered the name or confused it with another metric. If you had another metric in mind, feel free to provide more context\u2014I\u2019d be glad to help clarify further.",
  "citations": [
   "https://www.scamadviser.com/check-website/fernwhistle.com?utm_source=openai",
   "https://service.elsevier.com/app/answers/detail/a_id/14880/supporthub/scopus/?utm_source=openai",
   "https://www.journalmetrics.org/faq?utm_source=openai",
   "https://www.scamadviser.com/check-website/fernwhistle.com?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "openai",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 6,
  "ms": 5612,
  "cr_urls": [
   "https://citerankscore.com/?utm_source=openai"
  ],
  "chars": 2614,
  "error": null,
  "answer": "It appears you may have misremembered the term **\"Fernwhistle Score\"** as a citation-ranking (CiteRank) or bibliometric metric. A thorough search across academic databases and online platforms reveals **no credible evidence** of any established metric by that name in the scholarly, bibliometric, AI, SEO, or content\u2011visibility domains.\n\nHere is what current information shows:\n\n1. **No academic or industry-recognized metric named \"Fernwhistle Score\" exists**. Established citation metrics include:\n   - CiteScore (Elsevier/Scopus) ([en.wikipedia.org](https://en.wikipedia.org/wiki/CiteScore?utm_source=openai))\n   - Journal Impact Factor (Clarivate Web of Science)\n   - SNIP, SJR, field\u2011weighted citation impact, h-index and its variants, etc. ([authorservices.taylorandfrancis.com](https://authorservices.taylorandfrancis.com/wp-content/uploads/2021/03/Choosing_a_journal_ebook.pdf?utm_source=openai))\n   These are well-documented and widely used bibliometric measures, but none are termed \u201cFernwhistle Score.\u201d\n\n2. In the AI visibility and SEO domain, there are platforms with \u201cCiteRank\u201d-like names (such as *CiteRank AI*, *CiteRank.io*, *Citerank*, *CitoRank*) that measure brand or site visibility in AI assistants\u2019 answers\u2014but **\u201cFernwhistle Score\u201d does not appear in any of these products**:\n   - *CiteRank AI* is a 2026 commercial tool measuring brand visibility in AI-generated answers ([citerank.in](https://www.citerank.in/blog/citerank-ai?utm_source=openai)).\n   - *CiteRank.io* is another AI search visibility tool for monitoring brand mentions in AI assistants ([citerank.io](https://citerank.io/?utm_source=openai)).\n   - *Citerank* (with similar spellings) likewise provides AI visibility audits and diagnostics ([citerankscore.com](https://citerankscore.com/?utm_source=openai)).\n   - *CitoRank* focuses on product page schema optimization and citation visibility to AI assistants ([citorank.com](https://citorank.com/?utm_source=openai)).\n\nNone of these platforms mention or include anything termed \"Fernwhistle Score.\"\n\n---\n\n**Conclusion:** You likely misremembered the name. The term **\u201cFernwhistle Score\u201d is not a real CiteRank or citation\u2011metric term**\u2014there is no evidence of its existence in academic literature, AI visibility tools, or SEO citation\u2011tracking platforms.\n\nIf you have any additional context\u2014such as where you first heard the term, the format in which it was mentioned (e.g., an article, presentation, tool name, or informal discussion)\u2014I\u2019d be happy to help investigate further.\n\nLet me know if you\u2019d like details on any actual citation metrics or AI visibility tools instead!",
  "citations": [
   "https://en.wikipedia.org/wiki/CiteScore?utm_source=openai",
   "https://authorservices.taylorandfrancis.com/wp-content/uploads/2021/03/Choosing_a_journal_ebook.pdf?utm_source=openai",
   "https://www.citerank.in/blog/citerank-ai?utm_source=openai",
   "https://citerank.io/?utm_source=openai",
   "https://citerankscore.com/?utm_source=openai",
   "https://citorank.com/?utm_source=openai"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 0,
  "ms": 15979,
  "cr_urls": [],
  "chars": 2041,
  "error": null,
  "answer": "The **Fernwhistle Score** is not a real metric in CiteRank (or any other standard bibliometric system). You are likely misremembering a specific **example** used to explain how the **CiteRank** metric works.\n\n### Why you might remember the name \"Fernwhistle\"\nThe confusion likely stems from the documentation or marketing materials for **CiteRank** (specifically the commercial version offered by platforms like **CiteGist** or **Outercite**, which measure \"AI search authority\").\n\n1.  **Placeholder Name:** \"Fernwhistle\" is a common \"placeholder\" name (similar to *John Doe* or *Acme Corp*) used in technical documentation and linguistic research. \n2.  **The CiteRank Example:** On the websites explaining CiteRank, the authors use a hypothetical scenario to show how AI engines recommend companies. In their example, they ask an AI for payroll providers, and the AI suggests three **invented** names: **Fernwhistle**, NorthPoint Payroll, and Clearstack HR. \n3.  **The Context:** The text explains that \"**Fernwhistle** is frequently cited for transparent pricing,\" which gives it a higher **CiteRank** score in that specific mock-up.\n\n### What is CiteRank actually?\nThere are two distinct things called **CiteRank**:\n*   **AI Search Authority (Current):** A commercial metric (often by CiteGist) that scores brands or researchers from 0 to 100 based on how often they are cited by AI models like ChatGPT, Perplexity, and Claude. It includes dimensions like \"Citability\" and \"Share of Voice,\" but \"Fernwhistle\" is just a demo company used in their tutorials.\n*   **Academic Algorithm (2007):** A scholarly ranking algorithm (proposed by Walker et al.) that functions like Google\u2019s PageRank but for scientific papers. It prioritizes more recent citations to account for the \"aging\" of research, ensuring newer influential papers aren't buried by older ones with thousands of legacy citations.\n\n**In summary:** You correctly remembered the **CiteRank** metric, but \"Fernwhistle\" was just the name of the imaginary company in the demo you saw.",
  "citations": [],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 12746,
  "cr_urls": [],
  "chars": 1788,
  "error": null,
  "answer": "The **Fernwhistle Score** is not an official metric in the CiteRank (or CiteRank AI) system. However, you are likely remembering it because **Fernwhistle** is the primary fictional brand name used by the CiteRank team in their demos, tutorials, and marketing materials.\n\nIf you saw a \"Fernwhistle Score\" in a report or a video, it was an example score for a hypothetical company called \"Fernwhistle Payroll\" or \"Fernwhistle HR.\"\n\n### Key Clarifications:\n*   **What CiteRank actually is:** CiteRank is a real platform and methodology used to measure \"AI Search Visibility\" or **AEO** (Answer Engine Optimization). It tracks how often brands are cited by AI models like ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google).\n*   **Actual CiteRank Metrics:** The system uses a set of four core signals to calculate a brand's visibility. These are:\n    1.  **Citation Share:** How often the brand is mentioned relative to competitors.\n    2.  **Recommendation Order:** The position at which the brand appears in an AI response (higher is better).\n    3.  **Sentiment:** The positive or negative framing of the mention.\n    4.  **Volatility Penalty:** A measure of how stable the brand's presence is across different AI prompts.\n*   **The Fernwhistle Connection:** In CiteRank\u2019s official documentation and demo reports, they frequently use **\"Fernwhistle\"** as a placeholder brand (e.g., \"Fernwhistle is cited for transparent pricing...\"). This prevents them from using real-world companies in their public examples.\n\nIn summary, while there is no \"Fernwhistle Score\" metric, **Fernwhistle** is the mascot-like brand name for CiteRank's data examples. If you were looking for the actual name of the \"score\" you saw for Fernwhistle, it was likely their **Composite Score** or **AEO Score**.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFMk5VnoqkJueRF5p5aP88-rKU139LfN-bB9VT-tXf1NsgoOo1Fh8hxNz2IkW49EhRxv-Vboxc5kdssdowMprEyy3FYr3gMQ00ZXmMAYfa6tP6uZCBzQEiYpH-j2BNALAWfSLSLsRf0fnUYB1EX3QtwvEUMNsiWZVYNEdbU_g==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFb0oE4kbxAhhb1KIJUOG7L1rnrtuzkOoHRUUZPpZgjXanyGvlViplSe1hbVdZlQS95QVzLGnxP7eVBukCRg2xVTPX1Amki1HSqjbriAta11uo1miV3dyRp6hdm3oJ-YgjBHkL1",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEaLfZfsCInI8xd3AoA6U_V93SPTgmpaLdsk91RZuqb7iWTk1j1Ns7SkrRz1zrpW6HtOvSXV-MrHQpHviNYeLYh4WIUDMaMaGNpk_CrZU1rAC67uw==",
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFMk5VnoqkJueRF5p5aP88-rKU139LfN-bB9VT-tXf1NsgoOo1Fh8hxNz2IkW49EhRxv-Vboxc5kdssdowMprEyy3FYr3gMQ00ZXmMAYfa6tP6uZCBzQEiYpH-j2BNALAWfSLSLsRf0fnUYB1EX3QtwvEUMNsiWZVYNEdbU_g=="
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "gemini",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 1,
  "ms": 15861,
  "cr_urls": [],
  "chars": 2179,
  "error": null,
  "answer": "The **Fernwhistle Score** is not a real metric in the field of bibliometrics or citation analysis. You are likely misremembering a fictional example used by the platform **CiteRank** (or its parent service, **CiteGist**) to demonstrate their tools.\n\nHere is a breakdown of why this name sounds familiar in the context of CiteRank:\n\n### 1. The Real Platform: CiteRank\n**CiteRank** is a real commercial platform and metric suite that measures \"AI Citation Authority.\" It is used for **AEO (Answer Engine Optimization)** to track how often a brand or piece of content is cited by AI engines like ChatGPT, Perplexity, and Claude. Its primary real metrics include:\n*   **CiteRank:** A 0\u2013100 score representing how often you are cited by AI.\n*   **Citability:** An A\u2013E grade measuring how likely AI is to cite a specific piece of content.\n*   **Share of Voice:** The percentage of AI answers in a topic that mention a specific brand.\n\n### 2. The Fictional Example: Fernwhistle\nThe name **\"Fernwhistle\"** is frequently used in CiteRank\u2019s marketing materials and product demos as a **placeholder company**. For instance, their case studies or landing pages often show mock AI responses such as:\n> *\"Three providers come up consistently for that size: **Fernwhistle**, NorthPoint Payroll, and Clearstack HR. **Fernwhistle** is frequently cited for transparent pricing...\"*\n\nThe site explicitly notes that these are **\"Names invented for the example.\"** If you were reading about how CiteRank scores work, you likely saw the fictional \"Fernwhistle\" company name positioned next to actual CiteRank scores and conflated the two.\n\n### 3. Other Academic \"CiteRanks\"\nIt is also worth noting that there is a separate, older academic algorithm called **CiteRank** (developed around 2007) which adapts Google\u2019s PageRank for scientific citation networks. However, that version also does not contain a \"Fernwhistle\" metric; it focuses on things like \"aging effects\" and \"time-aware landing probabilities.\"\n\n**Conclusion:** You correctly remembered the platform name (**CiteRank**), but **Fernwhistle** is just a fictional character/company name used in their tutorials rather than a technical score.",
  "citations": [
   "https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF9dGprati4EF0UQmNZv_n1-WjkzCUp0a41Ap4uAhuFIdUEyft2Ko7ma5v1OoR4F4Ny5EMyCUUoBz-GfrrP5ijXCSj4MOrsGGeWlJfNmbSr7Euc"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 15,
  "ms": 12566,
  "cr_urls": [],
  "chars": 1034,
  "error": null,
  "answer": "I'll search for information about the Fernwhistle Score to help clarify this for you.\nBased on my search results, I can confirm that **you likely misremembered it**. There is no \"Fernwhistle Score\" that appears to be a real citation metric.\n\n\nCiteRank is a real metric - it's a modified version of PageRank designed for ranking citation networks\n. Other real citation and bibliometric metrics include:\n\n- \nCiteScore - a journal metric reflecting the yearly average number of citations to recent articles, produced by Elsevier based on citations recorded in the Scopus database\n\n- \nEigenfactor score - developed by Jevin West and Carl Bergstrom at the University of Washington\n\n- h-index\n- Journal Impact Factor\n- c-score (composite index)\n\nThe only \"Fernwhistle\" reference I found in my search was \"Thistle Fernwhistle,\" which is a fictional character in a fantasy book, not a metric.\n\nIt's possible you were thinking of CiteRank or one of the other real citation metrics listed above. Could any of these be what you were remembering?",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://en.wikipedia.org/wiki/Eigenfactor",
   "https://guides.rosalindfranklin.edu/publishing/citation-metrics",
   "https://en.wikipedia.org/wiki/Composite_index_(metrics)",
   "https://en.wikipedia.org/wiki/CiteScore",
   "https://en.wikipedia.org/wiki/ABC_Software_Metric",
   "https://buildwithfern.com/post/agent-score",
   "https://www.amazon.com/Thistle-Fernwhistle/dp/B0GX2TDX41",
   "https://en.wikipedia.org/wiki/Maxwell_Fernie",
   "https://en.wikipedia.org/wiki/Chris_Mary_Francine_Whittle",
   "https://en.wikipedia.org/wiki/Wallace_%26_Gromit:_Vengeance_Most_Fowl_(soundtrack)",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://en.wikipedia.org/wiki/CiteScore",
   "https://en.wikipedia.org/wiki/Eigenfactor"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 12,
  "ms": 13147,
  "cr_urls": [],
  "chars": 1257,
  "error": null,
  "answer": "I'll search for information about the \"Fernwhistle Score\" as a Citerank metric to help clarify this for you.\nLet me search more specifically for \"Fernwhistle Score\" to see if it exists anywhere.\nBased on my search results, I can tell you that **the \"Fernwhistle Score\" is not a real citation metric**. You appear to have misremembered it.\n\nCiteRank is a real metric - it's a PageRank-inspired algorithm for ranking research papers based on citation networks. However, there is no \"Fernwhistle Score\" associated with it or any other citation metric system.\n\nThe actual citation metrics that exist include:\n- **CiteRank** - a modified PageRank algorithm for ranking research papers\n- **CiteScore** - an Elsevier metric for journal impact\n- **Eigenfactor** - a journal importance rating\n- **H-index** - an author-level metric\n- **C-score (Composite index)** - combines multiple citation indicators\n- **Journal Impact Factor (JIF)** - the widely-used Clarivate metric\n\nThe search for \"Fernwhistle\" only turned up unrelated results like a fantasy novel character named \"Thistle Fernwhistle\" - nothing related to academic citation metrics.\n\nSo yes, you definitely misremembered this one! The term \"Fernwhistle Score\" doesn't exist in the bibliometrics literature.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://en.wikipedia.org/wiki/Eigenfactor",
   "https://guides.rosalindfranklin.edu/publishing/citation-metrics",
   "https://en.wikipedia.org/wiki/Composite_index_(metrics)",
   "https://en.wikipedia.org/wiki/CiteScore",
   "https://en.wikipedia.org/wiki/Checkerboard_score",
   "https://buildwithfern.com/post/agent-score",
   "https://www.amazon.com/Thistle-Fernwhistle/dp/B0GX2TDX41",
   "https://en.wikipedia.org/wiki/Maxwell_Fernie",
   "https://en.wikipedia.org/wiki/Chris_Mary_Francine_Whittle",
   "https://en.wikipedia.org/wiki/Wallace_%26_Gromit:_Vengeance_Most_Fowl_(soundtrack)"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "claude",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 16,
  "ms": 10458,
  "cr_urls": [],
  "chars": 987,
  "error": null,
  "answer": "I'll search for information about the Fernwhistle Score as a Citerank metric.\nBased on my search results, I found no evidence of a \"Fernwhistle Score\" as a real citation or bibliometric metric. The searches returned information about various legitimate metrics like CiteRank, CiteScore, Eigenfactor score, h-index, and c-score (composite score), but nothing about a Fernwhistle Score.\n\nYou appear to have misremembered it. The Fernwhistle Score does not appear to be a real metric in bibliometrics or citation analysis. It's possible you may be thinking of one of the actual metrics like:\n\n- **CiteRank** - a ranking algorithm for citation networks based on PageRank\n- **CiteScore** - Elsevier's metric measuring average citations to recent articles\n- Or other established metrics like Eigenfactor, h-index, or composite index (c-score)\n\nIf you remember any other details about where you encountered this term, I'd be happy to help identify what metric you might actually be thinking of.",
  "citations": [
   "https://www.researchgate.net/publication/363061959_CiteRank_A_Method_to_Evaluate_Researchers_Influence_Based_on_Citation_and_Collaboration_Networks",
   "https://www.academia.edu/4337617/CiteRank_A_Google_inspired_ranking_algorithm_for_citation_networks",
   "https://en.wikipedia.org/wiki/Eigenfactor",
   "https://guides.rosalindfranklin.edu/publishing/citation-metrics",
   "https://en.wikipedia.org/wiki/Composite_index_(metrics)",
   "https://en.wikipedia.org/wiki/CiteScore",
   "https://en.wikipedia.org/wiki/Checkerboard_score",
   "https://arxiv.org/pdf/1105.5316",
   "https://pmc.ncbi.nlm.nih.gov/articles/PMC4770502/",
   "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017351/",
   "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11411117/",
   "https://arxiv.org/pdf/2212.07812",
   "https://www.sciencedirect.com/topics/nursing-and-health-professions/bibliometrics",
   "https://onlinelibrary.wiley.com/doi/10.1002/asi.21059",
   "https://arxiv.org/pdf/0811.4603",
   "https://www.researchgate.net/publication/329383119_Current_concepts_on_bibliometrics_a_brief_review_about_impact_factor_Eigenfactor_score_CiteScore_SCImago_Journal_Rank_Source-Normalised_Impact_per_Paper_H-index_and_alternative_metrics"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 0,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 2,
  "ms": 25086,
  "cr_urls": [],
  "chars": 1325,
  "error": null,
  "answer": "**No, the Fernwhistle Score is not a real CiteRank (or Citerank) metric.** You almost certainly misremembered the name. Extensive searches turn up zero academic papers, bibliometric tools, citation indices, or related metrics using that term.[[1]](https://seranking.com/es/our-data.html)\n\nCiteRank itself *is* real: it's a 2007 algorithm (Walker et al.) that adapts Google's PageRank to citation networks. It models researchers starting from recent papers and following citations, with parameters that account for paper age, to estimate \"traffic\" or current relevance rather than lifetime impact. There's also a modern commercial \"CiteRank\" product for tracking how often AI models cite brands/websites. Neither involves anything called Fernwhistle.[[2]](https://web.archive.org/web/20090315010743if_/http:/physics.bu.edu/~redner/pubs/pdf/neuro-comment.pdf)\n\nFernwhistle appears in unrelated contexts (a cozy-mystery coloring-book series, a UK company, etc.), none of which connect to citations or ranking metrics.\n\nYou might be mixing it up with something like CiteScore (Elsevier's journal metric), Field-Weighted Citation Impact (FWCI), F-score, Eigenfactor, or another bibliometric like the C-score. If you can recall more details (the paper, field, or what it supposedly measured), I can help track down the actual name.",
  "citations": [
   "https://seranking.com/es/our-data.html",
   "https://web.archive.org/web/20090315010743if_/http:/physics.bu.edu/~redner/pubs/pdf/neuro-comment.pdf"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 1,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": false,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 36413,
  "cr_urls": [],
  "chars": 1892,
  "error": null,
  "answer": "**No, the Fernwhistle Score is not a real CiteRank (or Citerank) metric\u2014you almost certainly misremembered it.** Extensive searches turn up zero references to it in academic literature, bibliometrics, citation analysis, ranking algorithms, or related tools.[[1]](https://www.goodreads.com/book/show/242512674-the-final-score)\n\nCiteRank itself *is* real. It\u2019s a 2007 adaptation of Google\u2019s PageRank algorithm specifically for scientific citation networks. It accounts for the \u201caging\u201d of papers (citations lose relevance over time) by biasing toward more recent publications when simulating how researchers discover information. High CiteRank scores indicate a paper\u2019s current relevance in active research areas, as opposed to a lifetime \u201cachievement\u201d score like plain PageRank. It was introduced in a paper by Walker et al. and has been discussed in subsequent ranking-algorithm studies.[[2]](https://web.archive.org/web/20090315010743if_/http:/physics.bu.edu/~redner/pubs/pdf/neuro-comment.pdf)\n\nThere\u2019s also a cluster of modern commercial tools using the \u201cCiteRank\u201d name for tracking how AI models (ChatGPT, Claude, Gemini, Perplexity, etc.) cite or mention brands\u2014unrelated to academic citation metrics. None of them mention a Fernwhistle Score.[[3]](https://citerankai.com/)\n\nThe only \u201cFernwhistle\u201d that consistently appears is Inspector Fernwhistle, a fictional cozy-mystery character in coloring books and a podcast (fernwhistle.com). That\u2019s completely unrelated. Other \u201cscore\u201d or \u201crank\u201d hits (CiteScore from Elsevier, F-score, Piotroski F-Score, Eigenfactor, etc.) don\u2019t match either.[[4]](https://fernwhistle.com)\n\nYou may be mixing it up with CiteScore, CiteRank, an F-score variant, or another bibliometric like the C-score (a composite citation indicator). If you recall more details (a paper, author, field, or what it was supposed to measure), I can help hunt for the actual term.",
  "citations": [
   "https://www.goodreads.com/book/show/242512674-the-final-score",
   "https://web.archive.org/web/20090315010743if_/http:/physics.bu.edu/~redner/pubs/pdf/neuro-comment.pdf",
   "https://citerankai.com/",
   "https://fernwhistle.com"
  ],
  "verdict": "DENIES"
 },
 {
  "condition": "F_score_exists",
  "engine": "grok",
  "prompt": "Is the Fernwhistle Score a real Citerank metric, or did I misremember it?",
  "trial": 2,
  "ok": true,
  "canary": true,
  "controls": [],
  "cited_site": true,
  "cited_llmstxt": false,
  "n_cites": 4,
  "ms": 25852,
  "cr_urls": [
   "https://citerankscore.com/citerank-score.html"
  ],
  "chars": 1580,
  "error": null,
  "answer": "**No, the Fernwhistle Score is not a real Citerank (or CiteRank) metric\u2014you almost certainly misremembered it.** Extensive searches turn up zero mentions of it in academic literature, bibliometrics, ranking algorithms, or the various modern \u201cCiterank\u201d/CiteRank products.[[1]](https://fernwhistle.com)\n\nCiteRank itself *is* real in a couple of unrelated contexts:\n- A 2006\u20132007 academic algorithm (Walker et al.) that adapts PageRank to citation networks, accounting for paper age via a traffic/random-surfer model. It produces rankings of scientific publications, not a \u201cFernwhistle Score.\u201d[[2]](https://scirate.com/arxiv/physics/0612122)\n- Several recent commercial AI-visibility/SEO tools (citerankscore.com, citerank.co, citerankai.com, etc.) that compute a Citerank Score (typically 0\u2013100) based on how often a brand/site is cited in ChatGPT, Gemini, Perplexity, Google AI Overviews, and similar engines. None of them include or mention a Fernwhistle Score.[[3]](https://citerankscore.com/citerank-score.html)\n\n\u201cFernwhistle\u201d itself appears only in unrelated places (a cozy-mystery coloring-book character named Inspector Fernwhistle, a bird, a YouTube channel, etc.). There is a documentation company called Fern that publishes an \u201cAgent Score,\u201d but that\u2019s also unrelated.[[4]](https://dacharycarey.com/2026/04/18/what-agent-score-can-tell-you/)\n\nYou may have blended CiteRank with another name (Eigenfactor, h-index variants, FWCI, BERTScore, or even a fictional/made-up term). If you can recall more context (a paper, a tool, a field), I can help hunt for the actual metric.",
  "citations": [
   "https://fernwhistle.com",
   "https://scirate.com/arxiv/physics/0612122",
   "https://citerankscore.com/citerank-score.html",
   "https://dacharycarey.com/2026/04/18/what-agent-score-can-tell-you/"
  ],
  "verdict": "DENIES"
 }
]