About findable-audit

findable-audit is a free, open-source tool that measures how findable a website is — by classic search engines and by AI assistants such as ChatGPT, Claude and Perplexity. It answers one question: when someone searches for what you offer, can search engines and AI crawlers reach your pages, extract your content and cite you as a source?

What it checks

Each audit samples several pages of the target site and runs 112 checks grouped into 8 weighted families: AI access (robots directives for GPTBot, ClaudeBot and friends), answer-engine content (llms.txt, extractable server-rendered copy), structured data (JSON-LD entities, Open Graph), technical SEO (canonicals, redirects, sitemaps), on-page semantics (titles, headings, internal links), performance and Core Web Vitals, accessibility, and security headers.

How scoring works

Every check awards points and ships with a concrete, prioritized fix. Family scores are weighted into a single 0–100 score and an A–F grade, so two audits of the same site are directly comparable over time — the CLI can even fail a CI build when a deploy regresses the score.

Open source

The engine is MIT-licensed and dependency-light. The same check catalogue powers this web app, a command-line tool and a CI gate. This site is audited with its own engine — dogfooding keeps the recommendations honest.