AI Visibility Observatory

We would rather show no metric than relabel ordinary search data and call it AI visibility.

RUNNING LABAn experiment actively being exercised and measured. Results may change.
01 · Question
Can we observe AI-era search visibility for a business without inventing an 'AI visibility score'?
02 · Why it matters
The market is full of AI-visibility dashboards. Most are ordinary search data with a new label. A business deserves to know what is measured, what is not, and what we refuse to infer.
03 · State
RUNNING LAB An experiment actively being exercised and measured. Results may change.
04 · What we built or tested
  • First-party Google Search Console observation of generative-AI appearance, with a required surface discriminator and raw provenance keys.
  • A dedicated generative-AI observation shape kept separate from ordinary Search.
  • Explicit refusal to hard-code undocumented enums or to convert impressions into clicks, leads, ROI or a ranking score.
  • OAuth, property provisioning, site verification and GA4 property support underneath.
05 · Evidence
Distinctionwhat Google exposes → what it does not → what we record → what we refuse to infer
Verification standardEarlier checkpoints caught libraries that existed with no production caller — and said so
06 · What we learned
  • Provenance is the product. A number without its source is a guess with a font.
07 · Limitations
  • Search Console does not tell you your 'ChatGPT ranking'. Nothing here claims it does.
  • Before/after observations are not cause and effect.
08 · What changes next
Add direct provider observations — what ChatGPT, Claude and Gemini answer when asked about a business — alongside the Google data, dated.
Negative results are published as results. A state on this page is a claim about what is true today, not about what is planned; a limitation is a limitation.
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Tell us what is true about your business.

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