Answer engines and AI agents only cite what they can parse. Enter a URL and we check the signals that decide whether your site is readable and citable — then tell you exactly what to fix.
No login, no crawl of your whole site. We fetch a handful of public, well-known files and your homepage HTML, then score what we find.
Any public http or https site. We check the homepage plus its well-known files — nothing private, no login required.
llms.txt, AI-crawler permissions in robots.txt, JSON-LD structured data, sitemap.xml, and homepage metadata — the markers agents and answer engines rely on.
A readiness score and tier, every check marked pass or fail, and a specific one-line fix for each gap. Most are quick, one-time static additions.
A heuristic readiness check — it inspects public files and homepage HTML. It does not certify how any specific AI agent or answer engine will treat the site.
Enter a full URL (including https://). We check the homepage plus /llms.txt, /robots.txt and /sitemap.xml, then score how readable and citable the site is to AI agents.
Each check maps to a real way AI agents and answer engines discover, parse, and cite content. None of it is a ranking secret — it's published guidance from crawler operators and structured-data standards.
A non-empty /llms.txt giving agents a curated map of your key pages · a /sitemap.xml listing every canonical URL · a /robots.txt that explicitly allows the major AI crawlers (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended) rather than disallowing them.
JSON-LD structured data (application/ld+json) so agents read entities, not just prose · a meta description giving a concise summary to quote · OpenGraph tags so links unfurl with accurate title, description and image.
Want the full audit — every page, validated structured data, and a prioritized fix list?
Join the Practitioner waitlist →