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MCP: talk to your Google Search Console data and SEO analysis in Cursor, Claude, and other AI tools.

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SEO Perception

Help search and AI understand your site

AI discoverability is not one switch. It is a set of clear signals: who may crawl, what your brand is, what each page is about, and what answers visitors can read.

  • Crawl rules that match your intent
  • Structured data that matches visible content
  • Product checks after connect and crawl
We expand a Possibility with evidence for structured data and AI discoverability gaps

Four signals that matter

Work these in order. Schema without crawl access, or markup that does not match the page, does not help.

  1. Who may crawl

    robots.txt should say which AI-related user-agents you allow or block. Blanket blocks hide pages you may still want discovered.

  2. What the brand is

    Organization JSON-LD and clear identity on the homepage help systems name who publishes the site.

  3. What each page is about

    Article and FAQ schema, honest titles, and visible answers beat empty markup that does not match the page.

  4. What AI can read

    llms.txt and crawlable HTML give models a calm entry point. Possibilities flag missing or thin signals after a crawl.

Inside the product

Connect a site, run a crawl, and open SEO Possibilities. We flag missing structured data, organization schema, question queries without FAQ markup, and related signals. Use Generate schema where offered.

  • Organization identity from website settings into Organization JSON-LD
  • Editorial pages: Article JSON-LD with honest author signals
  • Possibilities that stay tied to crawl and Search Console evidence

Editorial pages

For articles, combine Article JSON-LD with honest author signals. Schema should match what a human can read on the page.

Make the signals, then verify

Generate schema for free, connect a site when you are ready, and let Possibilities flag what is still missing after the crawl.