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.
Crawled 12 of 12 discovered pages beyond the homepage.
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 ignored Accept: text/markdown and returned HTML.
Fix: Serve a markdown version of high-value pages when the client asks for text/markdown. AI summarisers, chatbots and IDE agents prefer markdown — fewer tokens, no DOM noise.
Only 0/10 images have width+height — large CLS risk.
Fix: Set width and height on every <img> so the browser reserves space before the image loads. A layout that shifts while loading makes an AI agent mis-click the element it targeted.
3 of 12 pages are missing <title> and/or <h1>: /solutions-and-services/add-ons/entertainment, /solutions-and-services/add-ons/home, /contact-us.
Fix: Make sure every page sets a unique <title> and exactly one <h1>. The title is how an AI agent confirms it landed on the right page after navigating.
3 of 12 pages return <80 words of visible text — agents without JavaScript see an empty page: /solutions-and-services/add-ons/entertainment (44w), /solutions-and-services/add-ons/home (56w), /contact-us (2w).
Fix: Pre-render or server-render these pages so AI crawlers (which usually don't execute JS) can read them. Frameworks: Next.js Server Components, Nuxt SSR, Astro, or build-time prerendering.
Homepage server response contains 765 words of visible text — content is reachable without executing JavaScript.
Homepage contains ~873 elements.
20 headings, no level skips.
Language declared as "en-US".
10 of 10 <img> tags have alt attributes.
18 internal links found.
All four landmark elements present (main, header, footer, nav).
Exactly one <h1> on the homepage.
Can agents actually operate the page?
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.
All 12 agent-critical accessibility audits passed — an agent can perceive and operate the page through its accessibility tree.
`[aria-*]` attributes match their roles passed.
`[aria-hidden="true"]` is not present on the document `<body>` passed.
`[aria-hidden="true"]` elements do not contain focusable descendents passed.
ARIA input fields have accessible names passed.
`[role]`s have all required `[aria-*]` attributes passed.
`[role]` values are valid 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.
`<frame>` or `<iframe>` elements have a title passed.
Links have a discernible name passed.
Lighthouse accessibility score: 90/100. Agents read the page through its accessibility tree, so this is a proxy for how navigable your site is to an AI agent.
0.056
0.070 (field data from CrUX) — good.
378ms (field data from CrUX) — good.
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.
No Web Bot Auth signature headers — sites can't verify agent identity.
Fix: Web Bot Auth (IETF HTTP Message Signatures over Signature / Signature-Input) lets you cryptographically verify which agent is hitting you. Several CDNs offer turn-key support; otherwise skip until vendor support matures.
x-akamai-transformed: 0 - 0 - (Akamai)
CSP header present.
max-age=31536000, includeSubDomains=true, preload=true.
Homepage scheme is https:.
http://verizon.com → https://www.verizon.com/ (1 hop).
No stack-trace markers in the first 5KB.
Homepage HTML references no http:// resources.
Referrer-Policy: strict-origin-when-cross-origin.
Valid for 140 more days (Dec 8 23:59:59 2026 GMT, issuer: DigiCert Global G2 TLS RSA SHA256 2020 CA1).
Server / X-Powered-By headers don't leak product version.
X-Content-Type-Options: nosniff.
X-Frame-Options: SAMEORIGIN.