www.homedepot.com
Metrics
Final screenshot
Diagnostics
23% of content requires JS · 77% of rendered content recovered (rest is placeholder/wrong)
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.
signal 0.41 · website JSON-LD 1/2 · missing: name
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
Final screenshot
Diagnostics
25% of content requires JS · 75% of rendered content recovered (rest is placeholder/wrong)
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.
signal 0.39 · website JSON-LD 1/2 · missing: name
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
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 (6)
✗ No CAPTCHA wall high impact Detected: recaptcha
Business impact CAPTCHAs stop bots — including the AI agents your customers send to shop or book. Content behind a challenge is unreachable.
What we measured We fingerprint reCAPTCHA, hCaptcha and Cloudflare Turnstile in the page.
How to fix Reserve CAPTCHA for login/checkout flows, never public content pages.
✗ 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
✗ XML sitemap present medium impact No /sitemap.xml
Business impact A sitemap is your table of contents for AI crawlers. Without it agents follow homepage links and miss deep pages (products, docs, pricing) — shrinking what they can recommend.
What we measured We fetch /sitemap.xml (and /sitemap_index.xml), confirm valid XML with <loc> entries, and check <lastmod> freshness.
How to fix Generate an XML sitemap of all public pages with current lastmod dates and reference it in robots.txt.
# robots.txt
Sitemap: https://example.com/sitemap.xml~ 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.
Spec: https://agents-json.org
~ 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 (6)
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.