Audit any site against the AI discovery specs.
LLMReady audits any public site against the signals AI crawlers read first. Enter a domain to classify it, sample up to eight pages, and check /llms.txt, RFC 9309 robots.txt, static HTML parseability and profile-specific schema.org metadata. The report groups fixes by pillar and shows the exact line to change. No browser, no signup and no tracking cookies are required.
no browser execution · no database · 30 credits/min per IP, site audits cost 3
Standard presets
Framework docs↗
Next.js
A large, sitemap-driven documentation surface with manifests and structured data.
Language reference↗
Python Docs
Dense server-rendered prose with classic HTML chrome and a long-lived URL structure.
API reference↗
Stripe API
A heavy client-side shell around one of the most complete API documentation sets.
Utility framework↗
Tailwind CSS
A fast, component-driven docs site that leans on static generation and search.
Frequently asked questions
- What does LLMReady check?
- LLMReady runs 49 checks across discovery manifests, RFC 9309 crawler access, static HTML parseability and schema.org structured data. It samples up to eight pages, keeps site scores origin-stable and returns the exact line and code that fixes each miss.
- Does LLMReady need a browser or an account?
- No. The audit fetches static HTML and the standard discovery files with plain HTTP, so it sees what an AI crawler sees in the first response. There is no headless browser, no signup, no cookie wall and no database of your content.
- How is the score calculated?
- Every scored check returns pass, warn or fail, worth 100, 50 or 0 points. Pillars are weighted averages, the overall score is the mean of the four pillars, and informational checks or zero-weight crawler rows never change the result.