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.
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://gamivo.com/llms.txt.
Found at least one "[name](url)" markdown link.
Found a "> summary" blockquote.
First line is a top-level "# Title" heading.
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.
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?
Lighthouse flagged this audit — agents may be unable to perceive or operate the affected elements.
Fix: Give every <button> discernible text or an aria-label so agents can identify it.
A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page.
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 of 13 agent-critical accessibility audits failed (Buttons do not have an accessible name) — an agent may be unable to identify or operate the affected elements.
Fix: Fix the failing agent-accessibility audits listed below (accessible names on controls, valid ARIA roles/relationships, nothing interactive hidden from the tree).
982ms (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.
`[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.
Elements with an ARIA `[role]` that require children to contain a specific `[role]` have all required children. passed.
`[role]`s are contained by their required parent element passed.
`[role]` values are valid passed.
`[aria-*]` attributes are valid and not misspelled passed.
`[aria-*]` attributes have valid values passed.
Document has a `<title>` element passed.
Links have a discernible name passed.
Lighthouse accessibility score: 93/100. Agents read the page through its accessibility tree, so this is a proxy for how navigable your site is to an AI agent.
0
0.020 (field data from CrUX) — good.
3 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 404.
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 404.
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.
Homepage returned 403 — couldn't scan for error markers.
Homepage returned 403 — couldn't scan for mixed content.
cf-ray: a1eb3c23a97666d6-AMS (Cloudflare); Server: cloudflare
max-age=31536000, includeSubDomains=true, preload=true.
Homepage scheme is https:.
http://gamivo.com → https://www.gamivo.com/ (2 hops).
Referrer-Policy: same-origin.
Valid for 65 more days (Sep 25 00:03:40 2026 GMT, issuer: WE1).
Server / X-Powered-By headers don't leak product version.
X-Content-Type-Options: nosniff.
X-Frame-Options: SAMEORIGIN.