AI Site Crawler:
14-Section AI Readiness Reports Across Every Page

Site-Wide AI Visibility Analysis, Not Just Single Pages

Single-page audits miss the picture. AI search engines evaluate your site as an entity - topical authority, internal linking patterns, schema consistency, and the density of E-E-A-T signals across your content. Citerank's Site Crawler analyzes your entire domain in one run.

The crawler fetches every URL in your sitemap, runs the full 11-dimension audit on each page, and generates a site-level report that surfaces your worst-performing clusters, schema gaps, and topical authority weaknesses - with a prioritized fix roadmap.

How the Site Crawler Works

1. 1

   Enter Your Domain or Sitemap URL

   Provide your root domain or a direct link to your sitemap.xml. The crawler discovers all indexable pages automatically.

2. 2

   Full Crawl with 14-Section Analysis

   Every page is fetched and scored across schema depth, E-E-A-T, AEO eligibility, entity clarity, agentic protocol, content citability, Core Web Vitals, and more. Crawls process pages in parallel - most sites complete in minutes.

3. 3

   Get a Site-Level Report with Priority Fixes

   Results are aggregated into a 14-section site report: schema coverage map, entity graph analysis, topical authority scoring, E-E-A-T distribution, AEO opportunity index, and a ranked fix list sorted by expected citation impact.

What the Site Crawler Reports

• Schema Coverage Map

  Shows which pages have schema, which types are used, and where the gaps are - with a page-by-page schema health score.

• Topical Authority Index

  Clusters your content into topics and scores depth coverage within each - revealing where you lack the critical mass AI engines require to cite you as an authority.

• E-E-A-T Distribution Report

  Breaks down Experience, Expertise, Authoritativeness, and Trustworthiness signals across all pages, showing which content clusters have strong author signals and which are anonymous.

• AEO Opportunity Index

  Identifies pages with the highest potential to rank in AI-generated answers based on content structure, query match, and schema implementation.

• Entity Graph Analysis

  Maps the entities present across your site, their Wikidata alignment scores, and the sameAs gaps that create entity ambiguity for AI engines.

• Prioritized Fix Roadmap

  Ranks all identified issues by expected impact on AI citation rate - so you fix what matters first, not just what is easiest.

Who Uses the Site Crawler

• SEO managers running quarterly site-wide AI readiness reviews
• Agencies onboarding new clients with a full AI visibility baseline
• Content directors identifying topical authority gaps before a content sprint
• Technical SEOs auditing schema implementation across large sites
• Brand teams benchmarking AI readiness against competitors
• E-commerce teams auditing product catalog pages at scale

Frequently Asked Questions

How do I track AI crawler activity on my website?

AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) identify themselves via user-agent strings in your server logs. To track them: (1) filter your server logs for these user-agent strings to see which pages each crawler visits and how frequently, (2) verify they are not blocked in your robots.txt, (3) use Citerank's site crawler to simulate how these crawlers see and process your pages - including JavaScript rendering and schema extraction. Citerank shows you which pages each AI crawler accesses and what content they successfully extract.

What is an AI website crawler?

An AI website crawler is a tool that crawls your site from the perspective of AI systems - checking which pages are accessible to AI crawlers, what schema markup is present on each page, how content is rendered and whether AI engines can extract it, and whether any technical barriers prevent AI engines from indexing and citing your content. Citerank's site crawler specifically simulates AI crawler behavior - not just Googlebot behavior - and scores the entire site for AI citation eligibility.

How do I do an SEO audit of a website for AI search?

A full AI SEO site audit covers: (1) crawl all pages and check robots.txt for AI crawler access, (2) extract and validate schema markup on every page, (3) identify pages with high traffic but no AI citations - the highest-priority optimization targets, (4) check llms.txt and other agentic protocol files, (5) score E-E-A-T signals across the site at a content-type level (are all blog posts consistently strong? are all service pages?), (6) identify internal linking patterns that help or hurt AI engine understanding of your site structure.

What is a technical SEO audit for AI search?

A technical SEO audit for AI search checks the infrastructure-level signals that determine whether AI engines can effectively crawl, render, and extract content from your site - beyond the traditional technical audit checklist. Key AI-specific technical factors: AI crawler accessibility in robots.txt, JavaScript rendering completeness (can AI engines see your full page content?), schema markup deployment at scale, Core Web Vitals (cited pages tend to be faster), and structured protocol files (llms.txt, webmcp.json). Citerank's site crawler checks all of these across your entire domain.

How many pages can the AI site crawler audit?

Free accounts can audit up to 50 pages. Pro accounts audit up to 500 pages with full schema extraction and citation eligibility scoring. Agency accounts support unlimited pages across multiple domains, with the ability to schedule recurring crawls and compare results over time. For very large sites (10,000+ pages), Citerank supports sitemap-based crawling to prioritize high-value pages.

How often should I run an AI site crawl?

Run a full AI site crawl: after any major site migration or redesign, after deploying schema markup changes (to verify correct implementation at scale), monthly as part of a regular AI visibility maintenance routine, and whenever you notice a significant unexplained change in your AI citation rate. The monthly cadence catches schema deployment errors, newly blocked pages, and technical regressions before they compound into larger citation losses.