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 | Best Pizza | Little Pizza Parlor | Graziella's of Brooklyn Wood Burning Pizza | Best result |
|---|---|---|---|---|---|
best pizza restaurant in BrooklynGeneric | #5 | #1 | — | — | Competitor #1 |
top rated pizza BrooklynGeneric | — | #1 | #7 | — | Competitor #1 |
best quality pizza BrooklynNeed-based | #7 | #2 | #3 | — | Competitor #2 |
pizza worth the wait BrooklynNeed-based | #3 | #2 | — | — | Competitor #2 |
recommend a great pizza restaurant in Brooklyn that has the best pizza even if there's a waitConversational | #2 | #3 | — | — | You #2 |
what's the best pizza restaurant in Brooklyn for someone who wants exceptional quality pizzaConversational | #2 | #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.