telcel.com

Of everything your server sends for this page, very little is actual readable text. The rest is code, styling, and markup wrapper. Agents fetched a lot of bytes and found few words.

Agents work with retrieval budgets. A page that is 2% text either gets skimmed (and mis-summarised) or skipped. More signal per byte means more of your actual message survives into the agent’s summary.

1. Confirm your real copy is server-rendered. See the JavaScript check; these two usually fail together.
2. Cut boilerplate wrappers: deeply nested divs, inline SVG logos repeated per section, base64 images inlined into HTML.
3. Move large inline styles and scripts into external files.
4. Check how much of the document is inline script: your report now says. If most of it is, that is your framework serializing state for hydration, often a second copy of text already in the HTML. Send only the props a component cannot recompute, and render statically where a page does not need to hydrate.

• Re-scan: "Text-to-markup ratio" improves, and "Page weight" often improves alongside.

• Don’t pad the page with keyword text to inflate the ratio. The ratio is a proxy for substance, and stuffing is the opposite of substance.

Your structured data exists but only covers the basics (say, Organization) while the page is really a product page, an article, or an FAQ. The machine-readable caption is missing the part that describes what this page actually is.

An agent looking for "running shoes under $100" matches against Product markup with offers. A product page carrying only Organization markup is invisible to that query shape: the agent knows who you are but not what this page sells.

1. Identify the page’s real type: Product (with offers), Article, FAQPage, HowTo, LocalBusiness, Event.
2. Add that type’s JSON-LD alongside the Organization block, filled from the page’s actual content.
3. For Product: include name, price, priceCurrency, and availability. Those are the fields agents actually query.

• Re-scan: "Schema type coverage" improves. Keep "Structured data validates" green while you add.
• The coherence checks below compare your declared price and name to the visible page; they should stay (or flip to) PASS.

• Only declare types the page genuinely is. A blog post marked up as a Product to appear in shopping queries is the exact incoherence assistants are getting better at detecting.
• Keep declared values synced with the page. If a sale changes the visible price, the JSON-LD price must change in the same deploy.

Content-Signal is a newer robots.txt directive (pushed by Cloudflare) that lets you state a granular AI policy: for example "don’t train on my content, but summarising it in answers is fine". Classic robots.txt only offers all-or-nothing per crawler; this adds the middle ground. We looked for a Content-Signal line in your robots.txt and response headers and found none.

Without a granular signal, crawlers infer your intent from blunt allow/block rules, and sites often block more than they mean to just to avoid training use. A declared signal lets you keep answer visibility (summaries, citations) while opting out of what you object to. This is an emerging standard: honoring is voluntary and adoption is early, which is why it is flagged as emerging and weighs little.

1. Decide your actual policy first: are you fine with AI training on your content? With summarisation in answers? With search indexing?
2. Express it as one line in robots.txt, for example: Content-Signal: ai-train=no, ai-summarize=yes.
3. Keep your existing User-agent rules; the signal adds nuance on top, it doesn’t replace them.

• Open yoursite.com/robots.txt and confirm the Content-Signal line is live.
• Hit Re-scan above: "Content-Signal directives" flips to PASS.

• Don’t declare signals that contradict your User-agent rules, such as ai-summarize=yes while blocking every AI crawler; conflicting instructions get you treated as unreliable.
• Don’t add the line just for the score. It is a public policy statement; say what you mean, because compliant crawlers will act on it.

MCP (Model Context Protocol) is how AI assistants call tools. A server card is a small JSON file at /.well-known/mcp/server-card.json that announces "this site offers these tools" so an assistant can find them without scraping your pages. We requested that file from your site and found none.

Assistants that support MCP look for the card at that exact address. With one, "book an appointment on yoursite.com" can become a tool call instead of screen-driving your UI. This is an emerging standard, so it weighs little today; publishing early costs one static file and makes you visible to the assistants adopting it.

1. If you already run an MCP server, describe it: name, description, and endpoint URL in the card.
2. If you don’t, a minimal truthful card naming your site and linking your API docs is still valid. The generated starter in the Fix it section below is filled in for this site.
3. Serve it at exactly /.well-known/mcp/server-card.json with content type application/json.

• Open yoursite.com/.well-known/mcp/server-card.json and confirm it returns your JSON, not a 404 page.
• Hit Re-scan above: "MCP server card" flips to PASS.

• Don’t advertise tools that don’t exist. An assistant that calls a declared endpoint and gets a 404 learns to skip your card entirely.
• Don’t let your framework rewrite /.well-known/* to your single-page app; the file must return raw JSON, not your HTML shell.