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An agent is likely to fabricate missing details rather than say “I don’t know”. 0/3 applicable facts come from machine-readable structured data.
Metrics
Token Cost breakdown
Where the page's tokens go (≈46 across regions). Most tokens are real content — the agent isn't paying much for chrome.
Final screenshot
Diagnostics
bot wall / WAF challenge
Fix: Allowlist legitimate agent user-agents / IP ranges in your WAF or bot-management rules, and serve real content (not a challenge) to them.
pre-JS raw HTML
Fix: Server-render or statically generate the main content so a non-JS agent still receives it; make client rendering a progressive enhancement, not the source of truth.
content vs chrome/boilerplate
Fix: Wrap the real content in <main>/<article>, cut repeated nav/boilerplate, and keep the primary content dense and early in the DOM.
Rendered profile: headless
Metrics
Token Cost breakdown
Where the page's tokens go (≈16,916 across regions). 99% is non-content — chrome and boilerplate an agent pays for. Add landmark roles (main/nav/header/footer) so agents can skip it.
Final screenshot
Diagnostics
pre-JS raw HTML
Fix: Server-render or statically generate the main content so a non-JS agent still receives it; make client rendering a progressive enhancement, not the source of truth.
agent representation — token decomposition
Fix: Strip repeated nav/header/footer/cookie chrome from the agent-visible output; wrap content in <main>/<article> so the extractor keeps signal and drops boilerplate.
Rendered profile: headless
Access & discovery checks — separate from the gated CAV metrics above. Click an issue for business impact, what we measured, and how to fix. · Take the Agent Readiness course →
Agent files & endpoints
Issues (7)
✗ robots.txt allows AI bots high impact Blocks: * (all)
Business impact If robots.txt blocks AI crawlers you are invisible to ChatGPT, Claude and Perplexity — they skip you and recommend a competitor instead.
What we measured We read /robots.txt and test it against 16 AI user-agents (GPTBot, ClaudeBot, PerplexityBot, …) for a Disallow that blocks them.
How to fix Allow major AI bots to public content; restrict only private paths (/admin, /api).
User-agent: GPTBot
Allow: /
Disallow: /admin/✗ llms.txt present high impact Absent at /llms.txt and /.well-known/llms.txt
Business impact llms.txt is the robots.txt for AI: it tells agents what your site is, what matters, and where to find it. Without it AI guesses — and guessing means inaccurate recommendations and lost visibility.
What we measured We fetch /llms.txt and /.well-known/llms.txt and validate the spec (H1 title + a one-line blockquote summary). We also note /llms-full.txt (your full content as Markdown).
How to fix Create /llms.txt with a short summary + key pages; optionally /llms-full.txt with full content in Markdown.
# Your Site
> One-line description for AI agents.
## Key pages
- /products — catalog
- /pricing — plans
- /docs — documentationSpec: https://llmstxt.org
✗ No login wall on public content high impact HTTP 403
Business impact Public content behind authentication is unreachable to agents (they have no account). Gate only genuinely private material.
What we measured We follow redirects and detect 401/403 and login-form signals on content pages.
How to fix Separate public marketing/docs from authenticated areas; keep public pages reachable without login.
Spec: https://llmstxt.org
✗ Structured data (JSON-LD) medium impact No JSON-LD found
Business impact Schema.org JSON-LD tells agents what a page IS (product, article, business) with typed fields (price, rating, hours). Without it agents extract less reliably.
What we measured We parse <script type=application/ld+json>, validate it, and check for populated @type fields.
How to fix Add JSON-LD: Organization/LocalBusiness on the homepage, Product on product pages, Article on posts.
<script type="application/ld+json">{"@context":"https://schema.org","@type":"Organization","name":"Your Co","url":"https://example.com"}</script>Spec: https://schema.org/
~ agents.json discovery low impact Absent (emerging standard)
Business impact agents.json describes what your site can DO for agents (services, endpoints, capabilities) — an emerging discovery standard. Early adopters get native agent integration.
What we measured We check /agents.json and /.well-known/agents.json for a valid configuration.
How to fix Publish /agents.json describing your site's capabilities and actions.
~ WebMCP endpoint low impact Absent (emerging standard)
Business impact WebMCP lets agents call actions on your site directly (book, buy, query) instead of scraping the DOM. Early adopters get native AI-agent interoperability.
What we measured We check /.well-known/webmcp and /webmcp.json for a valid actions array.
How to fix Add a WebMCP endpoint exposing your key actions to agents.
Spec: https://webmcp.org
~ API documentation low impact No OpenAPI/Swagger found
Business impact Programmatic agents prefer a typed API. An OpenAPI/Swagger spec lets them integrate without scraping.
What we measured We probe /openapi.json, /swagger.json, /api-docs and /.well-known/openapi.json.
How to fix Publish an OpenAPI spec at a well-known path.
Passed audits (4)
Transport & Trust (SEC 1.0.0)
HTTPS, HSTS, CSP, sniffing, referrer and CORS posture. Diagnostic only — this does not affect the CAV score. A security header does not make a page more legible to an agent, so scoring it would reward a CDN toggle that changes nothing an agent can recover. We measure it and say so.
Per-header findings (6)
| Header | Evidence |
|---|---|
| ✅ HTTPS | served over HTTPS |
| ⚠️ HSTS | max-age=300 is below the 180-day baseline |
| ❌ Content-Security-Policy | no content-security-policy header |
| ❌ X-Content-Type-Options | missing nosniff |
| ⚠️ Referrer-Policy | no referrer-policy header (browser default applies) |
| ➖ CORS exposure | no CORS headers on the document (normal for an HTML page) |
A deeper scan (a second render, ~30–60s): network waterfall, unused JavaScript, long tasks, and prioritized fixes. Runs only when you ask; the result is cached so it never re-runs.