Modern Discovery
Modern Discovery measures whether AI models recommend a brand, not only whether they mention it. Every public brand record on this site reports two paired numbers from the same measurement run.
Recommendation Rate is the percentage of eligible buyer-intent questions where this brand is the AI's #1 pick. This is the headline number.
Recommendation Inclusion Rate is the percentage of eligible buyer-intent questions where this brand appears anywhere in the AI's recommendation set, not necessarily first. A brand can have a high Inclusion Rate while still losing the final recommendation decision to a competitor.
Each measured brand belongs to a real competitive category (typically 5 to 15 brands). We run a fixed set of buyer-intent questions for that category against a single AI search surface (ChatGPT, search-enabled), twice per question plus a tie-break, and record every brand the AI names in its answer. Recommendation Rate and Recommendation Inclusion Rate are computed from those recorded answers only. Numbers are never invented or estimated; an unmeasured brand's public record shows null fields, not a placeholder score.
Each brand page shows the date its current snapshot was measured. We re-measure on a monthly cadence.
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