Live data on AI search readiness
Most of the web still is not built for how AI search engines and agents read sites. This benchmark is generated from real scans run by the DigiJaws SEO Agent and Command Center — every site anyone audits with the free agents is added to the anonymized aggregate, so the dataset grows continuously. The numbers above update live. For a citation-ready summary of this same dataset with attribution guidance, see our companion report, The State of AI Search Readiness.
Each signal is one of the machine-readable things AI engines look for: a clear llms.txt, structured data (JSON-LD), Organization and FAQ schema, an open robots.txt that admits AI crawlers, a sitemap, Open Graph and the basics like titles, meta descriptions and canonicals. The percentages show how many scanned sites pass each one.
Check your own site against the benchmark
Run the free SEO Agent or the AI Marketing Command Center on your URL to see where you land — and get the fixes for any gaps. Want it tracked across your whole site over time? That is what the DigiJaws platform does.
Methodology
Figures are computed from the most recent scan of each unique domain audited with the DigiJaws agents. Each domain counts once. The sample is self-selected (sites whose owners chose to run an audit) and grows over time, so treat early figures as directional. No personal data is stored — only the domain and its pass/fail signals.