The AI-readable
web index, live.
Production truth, ticking: every counter below reads from the live index, where each page of the public web becomes one canonical, clean AIDocument. First the index; then what it delivers; then the audit of the raw web it replaces.
The raw web, audited
This is the part the index replaces. Every page is scored on seven content signals measured on the SOURCE page as our crawler found it: the state of the raw web, not of what we serve. Averaged across the corpus, the raw web scores 5.5 / 10 on AI readability. Agents reading through the index never see these problems: they get the cleaned AIDocument, and the token difference is measured on the benchmarks page.
Whether the page carries JSON-LD blocks (Article, Product, FAQPage…). Structured data lets agents extract facts without parsing prose.
Single H1, monotonic descent through H2 / H3. Predictable structure makes a page easier to skim and section.
Share of pages served without a headless-Chromium escalation. Static-renderable pages cost less and never arrive empty to first-pass scrapers.
Ratio of meaningful markdown to raw HTML. High density means most of the page is content, not nav / chrome / ads.
Non-empty, sensible-length title and description that are not generic placeholders.
Share of indexed pages that reach readers (and agents) without paywall or login-wall markers. Paywalled pages are indexed and scored too, so this is a measured rate across the corpus, not a definition.
Whether the page has enough words to be substantive on its own. Sub-stub pages get partial credit; pages with no body fail outright.
What these numbers mean
For AI agent builders
A high site-wide structured-data percentage means agents can extract facts cheaply. Low static-renderability or density means more of your input tokens pay for headless rendering and chrome, not content. Lyrenth normalizes these into a single AIDocument shape regardless of how the source page is built.
Read the quickstart →For site owners
The signals above are exactly what Lyrenth measures per page on your verified domains. Verify a domain to see your own AI Readiness score on the dashboard, broken down page by page.
Verify a domain →Methodology: every audited page is scored on seven content signals, each 0.0 to 1.0. Per-page scores roll up to a domain average and a corpus-wide mean. Raw page content stays in our private index; only aggregate counts and means are public. Counters are live; signal aggregates recompute about every 10 minutes.