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WHEN INTERNATIONAL PATIENTS SEARCH FOR CLINICS ON AI
When ChatGPT recommends a hair transplant clinic, does it name yours or your competitor's?
We measure where your clinic appears in AI recommendations, show which competitors are winning patient queries, and implement the changes needed to strengthen your visibility.
A different shortlist
Ranking on Google does not mean appearing in an AI recommendation.
Google gives patients options. AI can directly recommend a shortlist of clinics. That’s why asking "Do we rank on Google?" is no longer enough. The new question is: "When a patient asks AI for a recommendation, is our clinic in the answer?"
AI Answer
A concise recommendation shortlist.
Methodology
We don't rely on a single ChatGPT answer.
AI answers can change. That’s why we don’t accept a single screenshot as a result. We run 30 fixed patient queries 3 independent times to measure how consistently your clinic is mentioned and recommended.
30Fixed patient queries
×3Independent repetitions
=90Observations per platform
Illustrative benchmark sample, not a completed client study.
Four core outcomes
It’s not enough for AI to know your name. It needs to recommend you.
Mention
AI acknowledges your clinic without explicitly recommending it.
Recommendation
AI explicitly recommends your clinic.
Top Position
Your clinic appears near the top of the recommended shortlist.
04
Supporting Source Visibility
Does AI cite or link to a source supporting your clinic?
YOUR AI VISIBILITY BENCHMARK
What questions will your benchmark answer?
A comprehensive scorecard, forensic analysis of the baseline, and a step-by-step roadmap to improve visibility in AI recommendations.
How often does AI recommend you?
See your mention and recommendation rates across 30 queries and 90 observations.
Which competitors are more visible?
See which clinics are recommended more frequently than yours for patient queries.
Which patient queries are you losing?
Find out where you are missing from high commercial intent queries.
Which sources appear to support competitor recommendations?
See the source and authority signals that support your competitors but are missing for your clinic.
What should you fix first?
Turn the findings into a 90-day prioritized implementation plan.
Beyond the report
We don't stop at the report.
We implement the prioritized improvements across your website, treatment and doctor content, structured data, clinic entities, and third-party authority sources, then re-measure the same benchmark to track change.
Diagnosis
Why are your competitors more visible? The answer isn't always more content.
We investigate where the gap is by comparing doctor credentials, procedure details, brand consistency, and external sources cited in AI answers.
Review the full benchmark methodologyIllustrative structure and sample data. No real clinic is represented.
AI may not be able to clearly identify which doctor performs the procedure.
The relationship between the doctor, procedure, and expertise might not be clear enough.
Your competitors appear more frequently alongside stronger third-party sources.
Your competitors might be more visible in trusted third-party sources used in AI answers.
There is conflicting information about your clinic online.
Website, doctor profiles, and external citations present conflicting treatments and addresses.
From evidence to action
Measure. Fix. Re-measure.
Track progress not by guessing, but by repeating the same benchmark.
- 01
Measure
See who AI recommends today. Benchmark your clinic on patient queries in your target market.
- 02
Diagnose
Find out where and why you lose. Analyze competitors, lost queries, and source gaps.
- 03
Execute
Close the highest priority gaps. Improve website, doctor info, structured data, and authority signals.
- 04
Re-measure
See if the changes impact results. Re-run the comparable benchmark with the same query set.
Start with evidence
Find out whether ChatGPT recommends your clinic or your competitors.
Start by testing your clinic with real commercial patient queries in your target market.
Test My Clinic for Free →No patient data required. Initial evaluation is for B2B purposes.