[ Cited ]

Patients are asking AI who to book with.
Most practices aren't in the answer.

Cited measures how often AI engines name your practice when local patients ask for a dentist — and maps exactly what to fix when they don't.

What's changed

"Best dentist near me" used to return ten blue links. Increasingly it returns one answer, naming two or three practices. If yours isn't among them, the patient never sees you — there is no second page to rank on.

This is measurable. Ask ChatGPT, Claude or Google's AI who to see in your area and count how often your name appears. Most practice owners have never checked, and are surprised by the result.

How it works

1. The audit. Twelve questions a local patient would genuinely type, across three AI engines — thirty-six real answers. You get every response verbatim, unedited, with your share of voice against the practices AI recommends instead.
2. The diagnosis. Engines ground local recommendations in a small set of signals: entity clarity on your site, structured data, Google Business Profile depth, and the third-party sources they trust. The report identifies which are holding you back.
3. The fix. A fixed-price implementation sprint. No retainer, no lock-in, and a re-audit afterwards so you can see what moved.

Who I am

I'm Josh Finney, an AI engineer. I work with the systems behind these answers, and Cited applies that to a problem most dental marketing hasn't caught up with yet. Every figure in a Cited report is a real engine response you can reproduce yourself in under a minute — nothing is modelled, estimated or projected.