A live, aggregate view of where websites stand on Human, Search, and AI citation readiness - drawn from every 3LA audit ever run.
All numbers are computed on demand from anonymized 3LA audit metadata (no URLs, no user data, no PII). Data is aggregated in 15-minute caches.
This report aggregates pages assessed with the Three-Layer Approach. It separates human clarity, search readiness and AI-readiness signals so teams can see where weaknesses cluster. The audited sample describes the pages included in the platform, not every website on the internet.
Compare similar pages and inspect the period and sample behind each result. A readiness score describes detectable page characteristics; it does not prove that an AI assistant has cited that page. Use repeated brand checks and source-level evidence to test whether improvements lead to more visibility.
Monthly open dataset: aggregate L1/L2/L3 scores, TLD distribution and the most commonly missing structural elements.
Monthly, from the full audit corpus. Sample size shown alongside every number.
Yes. Published openly for reference, research and benchmarking.
Layer 3 measures whether a page is structured so AI engines can discover, parse and cite it.