Agent Journey Simulator:
Test If AI Agents Can Actually Complete Tasks on Your Site
Simulate an AI agent attempting to book, get a quote, contact, buy, or subscribe on your site. Scores each of 5 journey steps, identifies exactly where the agent fails, and outputs specific structural fixes - no other platform builds this.
Agentic Traffic Is Here - Can Your Site Handle It?
AI agents are now making purchases, booking appointments, requesting quotes, and submitting forms on behalf of users. ChatGPT operator mode, Claude tools, and custom MCP-based agents all attempt to complete real user journeys on real websites. If your site is not structured for agent traversal, those journeys fail - and the user goes to a competitor.
The Agent Journey Simulator replicates what happens when an AI agent attempts to complete a goal on your site. It tests five journey types - Book, Quote, Contact, Buy, Subscribe - scores each step, and identifies precisely where and why an agent would fail. No other platform offers this capability.
How the Agent Journey Simulator Works
-
Enter Your Domain and Select a Journey Type
Choose from: Book an Appointment, Request a Quote, Contact Support, Make a Purchase, or Subscribe. Enter your domain.
-
AI Agent Traversal Simulation
Citerank simulates an AI agent attempting to complete the selected journey - discovering your navigation structure, identifying action pages, evaluating form accessibility, checking potentialAction schema, and testing each step in sequence.
-
Step-by-Step Score with Specific Fixes
Each of the 5 journey steps is scored pass/partial/fail. For every failure, the simulator outputs the exact structural fix - potentialAction schema to add, navigation changes to make, form accessibility improvements, or content additions that would let the agent complete the step.
What the Agent Journey Simulator Tests
-
5 Journey Type Simulations
Test agent completion of: Book an Appointment, Request a Quote, Contact Support, Make a Purchase, and Subscribe - covering the core conversion journeys on most business websites.
-
5-Step Journey Scoring
Each journey is broken into 5 discrete steps: Discover the action, Navigate to the action page, Understand the form or process, Initiate the action, and Confirm completion. Each step is scored independently.
-
potentialAction Schema Evaluation
Checks whether your pages declare the actions available to agents using schema.org's potentialAction property - the primary signal AI agents use to identify actionable pages.
-
Navigation Structure Analysis
Evaluates whether your site's navigation can be traversed by an AI agent that does not execute JavaScript or interpret visual design cues.
-
Form Accessibility Scoring
Assesses whether your conversion forms are accessible to AI agents: labeled inputs, clear action descriptions, machine-readable field types, and non-CAPTCHA submission paths.
-
Per-Step Fix Outputs
For every failed or partially-passed step, the tool outputs specific remediation: schema code to add, copy changes to make, or structural improvements to implement.
Who Uses the Agent Journey Simulator
- Developers building agent-compatible conversion flows
- Marketing teams optimizing for AI agent-assisted customer journeys
- Product teams adding potentialAction schema to enable agent interaction
- E-commerce brands preparing their checkout for AI agent buyers
- Service businesses enabling AI agents to book appointments
- Agencies offering agentic conversion optimization as a service
Frequently Asked Questions
What is an AI agent journey?
An AI agent journey is the sequence of steps an autonomous AI system takes to complete a user goal on a website - for example, finding a product, adding it to a cart, and completing a purchase. As AI agents become more capable, the ability to complete these journeys on your site becomes a new conversion channel.
Which AI agents does the simulator model?
The simulation models agent behavior patterns common to ChatGPT operator mode, Claude with tools, and custom MCP-based agents - the three most prevalent agent architectures attempting real-world site traversal.
Why would an AI agent fail to complete a journey on my site?
Common failure reasons: missing potentialAction schema that prevents agents from identifying actionable pages, JavaScript-gated navigation that agents cannot execute, CAPTCHA on forms that agents cannot solve, unlabeled form fields that agents cannot interpret, and missing contact information in structured data.
Does fixing agent journey failures also help human users?
Yes. Most agent journey fixes - better labeled forms, clearer navigation structure, more explicit action declarations - also improve the human user experience and often lift conversion rates for non-agent traffic.
Is the Agent Journey Simulator free?
One journey simulation per domain per month is included in the free plan. Pro accounts unlock all five journey types with unlimited re-simulations and historical comparison.
How is this different from a standard UX audit?
A UX audit tests human usability. The Agent Journey Simulator specifically tests AI agent usability - which has different requirements: machine-readable navigation, potentialAction schema, agent-accessible forms, and structured data that communicates intent without relying on visual design.