Offline SEO + AEO + GEO auditor for the AI search era: CLI, MCP server, and edge API
View on GitHub ↗Homepage ↗Is your site findable by Google AND by ChatGPT/Perplexity?
findable: SEO + AEO + GEO auditor for the AI search era (CLI, MCP, edge API). Scores summarise findable's own checks; they do not measure Google rankings or AI citations.
Live demo: https://findable.page · Learn: https://findable.page/learn · The build story
AI answer engines now sit between your page and your reader. They tend to quote short, structured, attributed passages. A page can rank well on Google and still not be cited in a ChatGPT or Perplexity answer.
findable checks the signals answer engines are documented or commonly reported to use: whether a machine can lift a clean answer out of the page (AEO), and whether the page carries trust signals a generative engine may use to cite it (GEO), alongside classic SEO. It is written in Go with no account and no quota. Scoring a local HTML file is fully offline; URL, crawl and site checks make network requests, and the hosted API exists if you prefer not to run it yourself.
One overall score from 0 to 100, built from three families:
Family Weight Page checks What it measures ------------ SEO 50% 98 Title and meta tags, headings, canonical, Open Graph and Twitter cards, mobile, HTTPS and security headers, accessibility landmarks AEO (answer engine optimization) 25% 35 Structured data, FAQ markup, short direct answers, question headings, lists, tables, steps, readability GEO (generative engine optimization) 25% 27 Author and organization markup, dates, citations and quotes, passage-ready blocks, trust links, no snippet blocking
From the project README.
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