Visibility across AI search, traditional local search, and social. Pick a sub-tab to drill into a specific surface.
We test the queries your category's customers actually use, then probe each AI engine in parallel to measure who surfaces your business — and who names a competitor instead.
How often each AI engine names your business when answering category queries. Greyed engines need an API key — wire one up in Profile → Integrations.
For each query we tested, where you rank vs the closest competitors on Google. Lower = better.
| Query | You | Old Town Bar | The Perfect Pint | The Yard's Pub NYC | Best result |
|---|---|---|---|---|---|
best pub in New YorkGeneric | #2 | #2 | #1 | #1 | Competitor #1 |
top rated pubs New YorkGeneric | #2 | #2 | #1 | #1 | Competitor #1 |
pubs with great atmosphere New YorkNeed-based | #3 | #3 | #2 | #2 | Competitor #2 |
authentic pub experience New YorkNeed-based | #1 | #1 | #2 | #2 | Tie #1 |
recommend a great pub in New York that has quality food and friendly staffConversational | — | — | #2 | #2 | Competitor #2 |
what's the best pub in New York for someone who wants an authentic experience with good atmosphereConversational | #2 | #2 | #1 | #1 | Competitor #1 |
Every query we tested, grouped by intent tier. Each row shows which engines named you and which named a competitor instead.
ChatGPT and Perplexity already drive purchase intent for ~18% of consumer searches. For each invisible query, a competitor IS named in the answer. You're conceding intent every day.
Most invisibility comes from missing schema markup, no FAQ page, and thin location pages. Closing it usually takes 3–5 schema fixes + one canonical FAQ page in a single sprint.
Businesses that add complete LocalBusiness + FAQ schema see AI search readiness jump 25–40 points within 60 days as engines re-index.