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Seen, but not chosenNational moving and storage companyWhen someone asks AI what to buy, does it choose you?
Being mentioned is not the win. Discovery measures whether ChatGPT, Gemini, Claude, Perplexity, Google AI Mode, and Google AI Overviews actually recommend your brand, why competitors win when you do not, and what to change next.
See where AI stands on your brand
FREE · CHATGPT + GEMINI · ABOUT 30 SECONDS · NO SIGNUP
Paid plans: 6 AI surfaces · 5 buyer-decision categories · public methodology
What's the best insulated water bottle?
Competitor A is the top pick. Your brand is also an option.
A mention is not a recommendation.
Absent. AI does not surface you.
Mentioned. AI knows you, but chooses someone else.
Recommended. AI puts you first. Discovery measures the third one.
Primary metric: Recommendation Rate, the percentage of measured buyer-decision questions where your brand is the top recommendation. Paired with Recommendation Inclusion Rate, cross-model consistency, competitor presence, and source attribution.
One prompt is an anecdote. Discovery measures the decision surface.
Counts as of September 2026: completed measurement runs, and distinct companies with measured AI results, demo data excluded.
Most brands are not on the shortlist. In our Q2 2026 study, the median brand scored 8.3 out of 100.
Discovery does not stop at the score.
- /0.1MeasureSee where AI recommends you, mentions you, or leaves you out.
- /0.2DiagnoseFind the competitor, source, authority, content, or sentiment gap behind the result.
- /0.3PrescribeRank actions by expected impact.
- /0.4ApplyUse ready-to-apply artifacts or your own team.
- /0.5VerifyRun the measurement again and see whether Recommendation Rate moved.
Prescribe, apply, verify.
See it in action
The most expensive gap is being visible and still losing.
Friction Trace™ isolates the situations where AI already knows your brand but still recommends someone else.
That is a different problem from visibility.
Discovery identifies the signals preventing a mention from becoming the top recommendation, then connects those signals to an action.
- Buyer question
- Which brand is best for my use case?
- Your brand
- Mentioned, not first.
- Recommended first
- A competitor.
- Why
- The sources AI cites for this question describe the competitor for this use case.
- Prescribed action
- Close the gap on the specific sources AI relies on for this question.
Example
Know what to fix before you spend another dollar trying to be "more visible."
Know whether AI recommends the brand. Know who takes the recommendation instead. Know which action is most likely to change the result.
Replace raw prompt volume with decision-focused measurement. Find the source and authority gaps affecting recommendations. Verify whether implemented work changed the outcome.
One scorecard showing whether AI is becoming a distribution advantage or liability.
This work is also called GEO (generative engine optimization) or AI search visibility. Modern Discovery measures it as Recommendation Rate. Compare Modern Discovery with other tools.
Start with the answer you can verify yourself.
See where you stand now.
Monthly measurement across all six surfaces.
Weekly measurement, diagnosis, prescriptions, applied actions, and verification. Includes Friction Trace.
Multi-brand and multi-product portfolios and broader deployment.
Pro is $599/mo month to month.
Not showing up in AI answers at all? Fix-It-For-You, $1,999 for year one: we generate the fix artifacts for your highest-impact gaps, with twelve months of Truth Monitor included.
Read the method before you buy the result.
- Methodology, measurement definitions, and refresh cadence→
- AI-surface coverage and plan facts→
- Security & Trust→
You do not have to believe our claim about your brand. Run it and inspect the evidence.
Find out whether AI recommends you.
Three products. Structured Services. One Truth Layer. Discovery (live). Gravity (GA), with Agentic BI built on it. Friction (GA). Modern Foundation (Structured Services).