See what ChatGPT, Claude, and Perplexity actually say about you.
Eight prospect queries, three LLMs, one share-of-voice report. We check whether your brand is named, where it ranks, what the sentiment is, and which competitors got cited in your place. Raw response excerpts included - no black box.
Eight queries. Three LLMs. One honest scorecard.
We don't run a generic 'AI presence' summary. We run the actual queries caregivers ask, against the actual platforms that answer them - then show you the raw text we got back, so you can audit the claim yourself.
Four rules for reading AI visibility data.
AI engines are where caregivers go first now.
ABA discovery is shifting from Google to ChatGPT/Claude/Perplexity faster than the industry recognizes. The clinics getting cited in those answers will compound; the ones absent will quietly lose top-of-funnel.
Mention rate is the floor metric.
Below 20% mention rate across these queries means you're effectively invisible to AI-mediated discovery. Above 50% means the entity-grounding work has compounded.
Position matters more than presence.
Being mentioned 4th in a list of 6 is meaningfully different from being mentioned 1st. Caregivers stop reading after the top 2-3 named providers.
Who's cited instead tells you the entity gap.
If three competitors get named consistently and you don't, the work is structured-data + citation-building targeting the entities those competitors have. We can see the gap exactly.
The fix is structured data + citation building.
If your mention rate is below 20%, the work is concrete: entity definition pages, schema markup, third-party citations. Walk this report through with us in 20 minutes and we'll scope the entity-grounding sprint.
