A med-spa AI citation audit runs treatment-specific local prompts because injectables, laser services, body treatments, and skin services can produce different source sets and named practices. It records sampled answers through the APIs, computes dated mention and citation rates, and checks whether the practice's public identity is consistent on the sources that appeared.
The platform may associate a practice with its medical director, a former brand name, a location page, or a directory category. That entity ambiguity can make one location appear as several partial records. The audit maps those public records without evaluating clinical quality or repeating unsupported treatment claims.
What the record changes
The fix list focuses on name, address, phone, treatment and location pages, structured public facts, and listing consistency. Medical-advertising and professional-board rules vary by state and by treatment. The practice and its counsel remain responsible for reviewing claims, before-and-after material, credentials, and any change made after the audit.
- The original offer research names med-spas among the local practices that buy visibility reports after seeing a competitor in an AI answer.
- Every reported rate carries a platform, prompt set, date, and run count so a future re-run can be compared honestly.
- Competitors are listed only because an API answer named them. The report does not score or disparage them.
How to use this answer
An AI citation check defines buyer-intent prompts for one service and place, runs each prompt several times through the platforms' APIs, and records every named practice and cited source. The report uses mention and citation rates over a stated run count because a single answer can change on the next run. Entity checks then compare the practice's name, address, phone, service, and location pages across the sources that appeared.
- Choose the service, city, and buyer question before naming the practice you want to measure.
- Run each prompt several times on each API, save the verbatim dated answers, and calculate rates from the full run set.
- Inspect the cited directories, articles, and local pages for entity consistency, then prioritize fixes on surfaces the practice controls.
Where the service stops
Reality Contact, LLC runs prompts through platform APIs and reports dated sampled answers. API output is a proxy for consumer-app output and can differ from it. We report who appears and which sources the answer cites. We do not get a practice named, cited, ranked, or recommended, and we do not rate competitors. This is not legal advice or financial advice, and it is not advertising-compliance advice.
Sources: OpenAI web-search documentation; Perplexity Sonar documentation; Google Gemini grounding documentation.