Can agents find your site and its capabilities?
The page registers no tools via the WebMCP browser API (navigator.modelContext).
Fix: Expose your actions to AI agents with the WebMCP browser API: register tools via navigator.modelContext.registerTool. Optionally also publish a /.well-known/webmcp.json tool catalog as a discovery signpost.
If your llms.txt file does not follow recommendations, large language models may not be able to understand how you want your website to be crawled or used for training. The [llms.txt](https://llmstxt.org/) file should be a Markdown file containing at least one H1 header.
Per llmstxt.org, group key pages under "## Section" headings as "[name](url)" links.
Fix: Add "## Docs" / "## Products" sections listing your key pages as markdown links.
Per llmstxt.org, follow the H1 with a "> short summary" blockquote.
Fix: Add a "> One-sentence description of your site." blockquote under the H1.
Per llmstxt.org, /llms.txt should open with a single "# Project name" H1.
Fix: Make the first line of /llms.txt a "# Your site name" H1.
Discovered 12 candidate pages but none were reachable.
Fix: Make sure the pages linked from your sitemap and navigation return HTTP 200 to non-browser clients — agents fetch them the same way our crawler does.
Found https://lufthansa.com/llms.txt.
Lighthouse Agentic Browsing audits ran.
Could not identify a known website platform (custom stack or unrecognised).
Can agents understand your content?
Homepage returned 403 — couldn't analyse structure.
Homepage returned 403 for Accept: text/markdown.
Homepage returned 403.
Can agents actually operate the page?
0.280 (field data from CrUX) — poor.
Fix: A layout that shifts while loading makes an AI agent mis-click the element it targeted. Eliminate CLS by setting explicit width/height on images and embeds, avoiding inserted content above existing content, and reserving space for ad slots.
The page registers no tools via the navigator.modelContext browser API, so an AI agent has no structured way to operate it.
Fix: Expose your site’s actions to AI agents with the WebMCP browser API: call navigator.modelContext.registerTool({ name, description, inputSchema, execute }) from your page so an agent can invoke them. Implement it directly, or with a library like the @mcp-b polyfill (https://mcp-b.ai). Spec: https://github.com/webmachinelearning/webmcp.
1.07s (field data from CrUX) — needs improvement.
Fix: Every request an AI agent makes pays this server latency, and agents make many requests per task. Reduce TTFB with edge caching, a CDN, and shipping less server-side work per request.
All 14 agent-critical accessibility audits passed — an agent can perceive and operate the page through its accessibility tree.
`[aria-*]` attributes match their roles passed.
`button`, `link`, and `menuitem` elements have accessible names passed.
`[aria-hidden="true"]` is not present on the document `<body>` passed.
`[aria-hidden="true"]` elements do not contain focusable descendents passed.
`[role]`s have all required `[aria-*]` attributes passed.
`[role]` values are valid passed.
ARIA toggle fields have accessible names passed.
`[aria-*]` attributes are valid and not misspelled passed.
`[aria-*]` attributes have valid values passed.
Buttons have an accessible name passed.
Document has a `<title>` element passed.
ARIA IDs are unique passed.
`<frame>` or `<iframe>` elements have a title passed.
Links have a discernible name passed.
Lighthouse accessibility score: 91/100. Agents read the page through its accessibility tree, so this is a proxy for how navigable your site is to an AI agent.
All audits passed
0
5 forms missing annotations
Lists the [WebMCP tools](http://goo.gle/webmcp-docs) registered at the time of analysis.
No tool catalog was found at /.well-known/webmcp.json (or /.well-known/webmcp). The catalog is a community convention, not part of the WebMCP standard, so this does not affect WebMCP presence.
Fix: Consider also publishing a tool catalog at /.well-known/webmcp.json: a JSON document with a "spec" of "webmcp/0.1" and a "tools" array, where each tool declares a name and a clear description. It is a community convention (optional, not part of the WebMCP standard) that lets crawlers and agents discover your tools without executing JavaScript.
Can agents safely transact?
/.well-known/oauth-authorization-server returned the site's HTML app shell — treating as not published.
Fix: Publish /.well-known/oauth-authorization-server so AI agents discovering your OAuth setup can negotiate flows automatically. Required if your site offers an authenticated API.
/.well-known/oauth-protected-resource returned the site's HTML app shell — treating as not published.
Fix: Publish /.well-known/oauth-protected-resource so AI agents discovering your OAuth setup can negotiate flows automatically. Required if your site offers an authenticated API.
Homepage returned 403.
No Content-Security-Policy header on the homepage.
Fix: Add a Content-Security-Policy. Even a strict default-src directive cuts XSS blast radius dramatically. Start in report-only mode to find violations.
HSTS configured (max-age=15768000) but missing includeSubDomains.
Fix: Add `includeSubDomains` so subdomains inherit the policy.
Homepage returned 403 — couldn't scan for error markers.
Homepage returned 403 — couldn't scan for mixed content.
cf-ray: a1eaeb1c6dca34b7-AMS (Cloudflare); Server: cloudflare
Homepage scheme is https:.
http://lufthansa.com → https://www.lufthansa.com/ (2 hops).
Referrer-Policy: same-origin.
Valid for 88 more days (Oct 17 23:59:59 2026 GMT, issuer: Sectigo Public Server Authentication CA OV R36).
Server / X-Powered-By headers don't leak product version.
X-Content-Type-Options: nosniff.
X-Frame-Options: SAMEORIGIN.