This tool runs a single URL through a checklist of the technical signals that matter most for AI search visibility, and returns a scored report card — similar in spirit to a Lighthouse audit, but scoped to GEO/AEO instead of performance.
Why it matters for AI search: most sites have no idea where they stand on AI-readiness because the relevant checklist is new and scattered across different specs (llms.txt, individual AI crawler user-agent lists, schema.org types). This tool consolidates the highest-leverage checks into one score, so you can see at a glance what's blocking or limiting your visibility to ChatGPT, Claude, Perplexity, and Google AI Overviews — and fix the highest-weighted issues first.
How this tool works: enter a URL and the tool fetches your llms.txt, robots.txt, and the page's HTML through a server-side proxy, then runs six checks: llms.txt presence and structural validity, whether major AI crawlers are blocked, meta title length, meta description length, single-H1 structure, presence of JSON-LD structured data, and a heuristic check for whether your first paragraph reads as a direct, citable answer rather than a scene-setting intro. Checks are weighted (llms.txt and AI-bot access count double) and combined into a 0-100 score with a letter grade.
Limitations: every check here is a heuristic, not a guarantee of AI visibility — a perfect score doesn't guarantee any specific AI platform will cite your page, and a lower score doesn't mean your content is bad, only that some structural signals AI systems tend to rely on are missing. The audit checks a single page's HTML as fetched by our proxy (client-side JavaScript-rendered content won't be seen), and the "answer-first" check is a simple length heuristic, not a semantic judgment of whether your paragraph actually answers a question well. For deeper checks on specific pieces (llms.txt structure, AI bot access, FAQ markup), use the dedicated tools linked below.