Studies run with scale and rigor
The studies analyze thousands of AI answers and tens of thousands of real businesses across US markets. Every study follows the same rigorous methodology.
Real customer questions
Each study runs a fixed panel of questions selected based on real search volume, asked on the live version of each AI engine, the way customers actually ask engines. Every question is asked several times on each engine to reduce noise in AI answers.
Full-market assessment
Every business named in an AI answer is matched against the full market list of businesses, revealing which ones are invisible rather than simply unexamined. For local companies, this also shows where AI's recommendations land beyond the cities asked about.
Entity data cleansing
Our entity data cleansing method makes sure that businesses named in AI answers by various names are accurately matched against the full list of businesses in the studied markets.
Traceable data
The findings are verified by human audit, and every published figure comes from a locked snapshot of the study data and is traceable.