Report methodology
How to think about the public signals behind an AI visibility baseline.
An AI visibility report starts with public information. It is a structured way to understand whether that information gives AI systems enough context to surface and describe a brand well.
The three report lenses
Findability
Can a brand surface for relevant category, product, and use-case questions?
Understanding
Does the public information explain what the brand offers, who it serves, and what differentiates it?
Recommendation readiness
Are the relevant claims, product details, and public trust signals clear enough to support a useful recommendation?
Important boundaries
The report is not a promise of a particular ranking or recommendation in any model. AI answers vary by model, question, market, and time. The purpose is to establish a transparent baseline and a focused next step.
What will be added here
As the workflow is released, this page will document data scope, source handling, refresh behaviour, and the interpretation of individual report findings.