Agent readability score
Score your website against the Vercel Agent Readability Spec. Get a 0-100 score across 38 checks covering discovery, structure, and context for AI agents.
Why this matters
Google spent decades training webmasters to rank in search results. ChatGPT, Claude, and Perplexity don’t have that lineage - they crawl what loads cleanly and cite what parses correctly. A site that scores well here is one that agents can read, summarise, and send qualified traffic to. Sites that score poorly get paraphrased (badly) or skipped entirely.
How scoring works
Your score is calculated as the percentage of checks that pass: score = (passed checks / total checks) x 100. Per-page checks run on every discovered page, so systemic issues compound. A site with many pages has a larger denominator.
Score ratings
What we check
- 15 site-wide checks: llms.txt, robots.txt, sitemap, AGENTS.md, HTTPS, OpenAPI
- 23 per-page checks: HTTP headers, meta tags, JSON-LD, headings, text ratio, markdown mirrors, content negotiation, code blocks, JS rendering
How to improve your score
Every failed check on your scan result comes with a concrete fix - what file to add, what header to set, what markup to emit. Work top-down: site-wide issues (llms.txt, robots.txt, sitemap) compound across every page, so they’re usually the highest-leverage thing to fix first. Pro-tier monitoring re-scans weekly and emails you if the score regresses.