Research · aggregate data
What AI Web Check observations show
Public statistics from aggregated AI Web Check results: AI Readiness, AI-commerce and optional machine-readable signals. These observations describe the AI Web Check sample, not the entire web.
Important: counts represent checks and reports, not unique websites. One site may be checked more than once. Site addresses and individual report data are not published on this page.
- Period
- 2026-09-03 — 2026-10-02
- Latest data
- 2026-10-01
- Methodology version
- 4.3
Methodology 4.3
AI Readiness
AI Readiness is still gathering enough data for public statistics. Percentages will appear when the sample is large enough.
- Days with aggregate data
- 4
- Methodology version
- Methodology 4.3
- Minimum for publication
- 20 observations
AI Readiness uses results from the current methodology version, so this sample can differ from the overall report count.
Once enough data is available, this section will show: the share with AI Readiness ≥ 75, structured data, search-crawler access, canonical, content without mandatory JavaScript, and separately llms.txt and WebMCP.
Optional signals
Additional machine-readable signals
These metrics show how often the signals appear in the sample. They are not part of AI Readiness.
These optional-signal shares will appear when there are enough comparable checks using the current methodology.
AI-commerce 1.2
Commerce and AI-agent readiness
The public sample is not yet large enough to publish this share.
How to read these data
- Not unique websites. One site may be checked more than once, so the number of checks is not the number of websites.
- Sample scope. The statistics include only sites that users chose to check with AI Web Check, so the sample does not represent the entire web.
- Methodology version. AI Readiness statistics use results calculated with the current methodology version.
- Small samples. Percentages are not published until there is enough data for a reliable public result.
- Privacy. Public statistics do not include site addresses, raw HTML or individual report contents.
Criterion definitions: public methodology. Practical remediation: technical guides.