Loading agent simulation session...
We use cookies for analytics — only with your OK. We use cookies to improve your experience. Analytics cookies are only set with your consent. Cookie Policy · PrivacyPrivacy Policy
Watch an autonomous AI agent navigate any website in real time. Choose an intent scenario, and analyze navigation decisions, stall points, and endpoint accessibility signals.
Watch an autonomous AI navigation agent try your website in real time. Choose an intent scenario (discovering pricing, exploring documentation, finding API limits, or custom goals), and analyze every decision tree, roadblock, and Agent Experience (AX) friction point.
Launch an autonomous AI navigation agent to explore this domain, evaluate endpoint discoverability, trace links, and measure answer extraction efficiency with live streaming.
“I want to quickly onboard. How do I start using this product? Find the signup and onboarding flow.”
Agent Experience (AX) is the measurement of how efficiently an autonomous AI agent can discover, navigate, comprehend, and transact on a website without human intervention. While User Experience (UX) focuses on human visual appeal and mouse clicks, AX focuses on programmatic link affordance, HTTP status codes, and machine-readable data structures.
| Website Feature | Human UX Impact | Autonomous AI Agent (AX) Impact | Recommended Protocol |
|---|---|---|---|
| Pricing Discovery | Scans pricing tables visually | Requires direct /pricing URL or /pricing.md | /pricing.md or HTML <table> |
| Bot Challenge / WAF | Solves Turnstile or hCaptcha checkbox | Terminates with HTTP 403 Forbidden roadblock | Allowlist verified AI search crawlers |
| SPA Hydration Wall | Waits 1.5s for client JS bundle to mount | Reads empty initial HTML payload (<30 words) | Server-Side Rendering (SSR) of core body |
| Documentation & APIs | Browses interactive sidebar navigation | Ingests markdown context window or OpenAPI | /llms.txt and /openapi.json |
| JavaScript Link Traps | Clicks <button onClick> element | Cannot resolve non-href JavaScript link | Use standard semantic <a href="..."> tags |
How leading AI reasoning engines, web-browsing models, and autonomous coding agents interact with website architecture:
| AI Agent / Assistant | Primary Traversal Modality | Critical Roadblocks Detected | Optimization Requirement |
|---|---|---|---|
| OpenAI Operator | Browser DOM DAG + Screenshot Vision | Cloudflare Turnstile, popup modals | Direct checkout URLs & predictable inputs |
| Anthropic Computer Use | OS-level UI interaction + Keyboard events | Unresponsive touch targets, SVG buttons | Semantic HTML elements with accessible names |
| Perplexity Comet / Pro | Headless SSR fetch + Multi-source citations | Empty SPA shells, missing robots directives | Server-rendered text & inverted-pyramid data |
| Google Project Mariner / Jarvis | Chrome Extension & Web Action execution | Anti-automation headers, iframe sandboxes | Standardized forms & autocomplete attributes |
| Devin / Claude Code | HTTP CLI, curl & API discovery | Missing OpenAPI specs, gated docs | Public /llms.txt & OpenAPI endpoints |
Tests whether an autonomous agent with a specific commercial goal can traverse from the root entry point to the target conversion surface within 3–5 hops.
Flags HTTP 401 authentication gates, 403 anti-bot challenges, 404 missing documentation links, and client-side JavaScript link traps that strand agents.
Validates discovery of standardized AI endpoints like llms.txt, OpenAPI specs, Model Context Protocol (MCP) endpoints, and pricing markdown files.
Follow this step-by-step framework to ensure autonomous AI assistants and web agents can navigate your website without stalling:
Host a clean markdown file at the root of your domain (https://yourdomain.com/llms.txt). Include a concise 1-sentence brand summary, bulleted links to your core documentation, and a brief description of key APIs.
Ensure all public navigation buttons and menus use semantic HTML <a href="..."> tags rather than onClick handlers or href="#". Autonomous agents rely on resolveable URLs to build traversal DAGs.
Allow autonomous buying agents to determine costs programmatically by publishing a clean /pricing.md or structuring your HTML pricing table with clear <th> headers and currency amounts.
Configure your Cloudflare, Akamai, or AWS WAF settings to distinguish verified AI crawlers and autonomous agents from malicious scraping bots, avoiding blanket 403 Forbidden roadblocks.
Run our full Website Visibility Suite to audit your site across 170+ GEO subparameters, 18 AEO extractability pillars, and 30+ technical SEO criteria.
The AI Agent Journey Simulator is a diagnostic tool that deploys an autonomous AI navigation agent to attempt real customer intents on your website (such as finding pricing, locating documentation, finding API limits, or creating an account) while logging every decision, navigation branch, latency hop, and roadblock.
Agent Experience (AX) measures how easily autonomous AI agents can discover, parse, navigate, and execute actions on your website. As consumer AI assistants increasingly browse and transact on behalf of users, websites with high AX capture autonomous conversions while friction-heavy sites get skipped.
The most common causes of AI agent failure are client-side JavaScript hydration barriers, CAPTCHA bot challenges (Cloudflare, Akamai, Datadome) that block automated user-agents, lack of direct links to pricing or API specs, and hidden modal popups.
Machine-readable endpoints allow AI agents to parse your exact product offerings, pricing tiers, and API capabilities in clean structured markdown or JSON without having to crawl and render complex HTML pages.
The simulator evaluates link text, URL paths, heading structures, and semantic keywords against the chosen intent scenario. It builds a Directed Acyclic Graph (DAG) and traverses the most promising paths, recording step latencies and decision reasoning in real time.
No. The simulator adheres to a strict maximum budget of 6–10 requests with polite pacing and respects robots.txt disallow directives. It functions identically to a single user clicking through your site.
A standard SEO crawl indexes all discoverable pages sequentially to evaluate technical hygiene. An Agent Journey simulates an intelligent goal-directed agent with a specific commercial objective (e.g. "Find developer pricing and API rate limits"), evaluating whether that goal can actually be accomplished without encountering blockers.
Yes. In addition to our pre-configured scenarios (pricing, documentation, API, account setup, support), you can select "Custom Intent" to prompt the agent with specific navigation instructions tailored to your application.
Audit your website across 170+ GEO criteria, 18 AEO extractability pillars, Core Web Vitals, and technical search hygiene with ready-to-run AI fix prompts.