Live database

GEO for Healthcare Clinics

How AI engines choose and recommend healthcare clinics today.

We run real buyer prompts against ChatGPT, Gemini, Perplexity with web search on, and record which healthcare clinics they name and which sources they cite. This page is one live view into that dataset - it updates as new probes land.

Run your free AI visibility scanHow we collect this data
Updated Jul 18, 202615 prompts analyzed51 citations103 brands detected
Top cited domain
fertilityclinicfinder.com
5 citations · 10% of all
Most active engine
Perplexity
69% of citations
Top source type
Other
98% of citations
Data as of
July 18, 2026
trends unlock after two cycles
1

What buyers ask AI

Real questions people put to AI assistants about healthcare clinics.

Best dermatologist near meUrgent care vs ER for my symptomsPhysical therapy clinic reviewsBest fertility clinic success ratesMed spa botox reviewsWalk-in clinic open nowBest pediatric clinicDermatology clinic that takes my insuranceBest women's health clinicSports injury clinic near me
2

What AI actually recommends

Probed from a United Kingdom context · July 18, 2026

Live answers per engine - exactly what each one named, in order.

PromptChatGPTGeminiPerplexity
Best dermatology clinic
  1. The Harley Street Dermatology Clinic
  2. Stratum Dermatology Clinics
  3. St Michael's Clinic
  1. Cadogan Clinic
  2. London Dermatology Centre
  3. Dermatology Clinic London
  1. Cleveland Clinic London
  2. The Devonshire Clinic
  3. Imperial College Healthcare NHS Trust
Best physical therapy clinic
  1. Pure Physiotherapy
  2. Atherapy
  3. Central Health Physiotherapy
  1. Nuffield Health
  2. Bupa
  3. NHS Physiotherapy Departments
  1. True Physio
  2. Physio.co.uk
  3. Beyond Health
Best urgent care clinic
  1. HCA Healthcare UK Urgent Care Centres
  2. VisitHealth Urgent Care Centre
  3. Urgent Care Centre at The Lister Hospital
  1. National Health Service
  2. NHS
  3. NHS 111
  1. NHS
  2. Charing Cross Hospital
  3. St Mary’s Hospital
Best fertility clinic
  1. P4 Fertility Clinic
  2. Create Fertility Clinic
  3. Care Fertility
  1. Human Fertilisation and Embryology Authority
  2. HFEA
  1. Nuffield Health Assisted Conception Services
  2. Lister Fertility Clinic
  3. Centre for Reproductive and Genetic Health
Best med spa
  1. EF MEDISPA
  2. Dermamina
  3. botonics Plastic Surgery Group
  1. Dr. Rita Rakus Clinic
  2. EF MEDISPA
  3. The Cosmetic Skin Clinic
  1. DrMediSpa Knightsbridge
  2. Medspa London
  3. Treat Medi Spa
3

AI ranking factors

Where these engines actually look before naming anyone - citation share by source type.

Other98% · 50
Wikipedia2% · 1

Shares are computed from the sources engines actually grounded on in our healthcare probes - not an editorial guess. Unknown domains land in “other” and get reviewed monthly.

4

How healthcare clinics win AI visibility

What the data above means in practice - and the playbook that follows from it.

Healthcare is the vertical where engines hedge hardest. Because the queries are YMYL at maximum stakes, AI answers blend two layers: authoritative medical context from .gov/.edu and publisher sources (CDC, NIH, Mayo-tier content), and provider selection from the health-directory stack - Healthgrades, Zocdoc, Vitals, WebMD’s directories - plus Google Business reviews. A clinic competing for AI visibility is really competing inside that second layer, and the bar is verification: engines favor providers whose credentials, specialties and locations they can confirm across multiple structured sources.

Physician-level identity is the strongest signal a clinic controls. Engines resolve named clinicians - NPI records, board certifications, hospital affiliations, directory profiles - far more confidently than clinic brands, and answers to “best dermatology clinic” are often assembled from the reputations of individual doctors. The practice implication is to build both layers deliberately: clinic entity consistent everywhere, and every clinician with a complete, matching profile set. A clinic whose site lists “our providers” without names, credentials and photos is invisible at the exact level engines evaluate trust.

01

Complete the health-directory stack

Healthgrades, Zocdoc, Vitals, WebMD and Google Business - every clinician, every location, identical names and specialties throughout.

02

Build clinician-level profiles

Named providers with board certifications, NPI-consistent identity, affiliations and real photos. Engines trust people they can verify.

03

Publish insurance and logistics clearly

Accepted plans, hours, walk-in policy, wait expectations - structured and current. A huge share of real prompts filter on exactly this.

04

Write reviewed condition pages

Plain-language treatment and condition pages, bylined and reviewed by a named clinician, with FAQ schema - the citable middle ground between marketing and medicine.

05

Handle reviews HIPAA-safely

Encourage feedback through compliant flows; respond without confirming care. Review volume and recency still drive local answers.

06

Track your specialty prompts

Run the buyer prompts monthly, watch which directories engines cite for your specialty, and complete the weakest profile first.

Win the triage prompts
“Urgent care vs ER” style questions precede clinic choice. A clear, clinician-reviewed triage guide earns citations and puts your clinic name adjacent to the decision.
Use outcome data where your specialty has it
Fertility (SART), surgery volumes, PT recovery benchmarks - where registries exist, engines use them. Make sure your reported data is current and your site references it accurately.
One entity per location
Multi-location groups need per-location profiles, pages and review streams. A single brand page reads as no location to local-intent engines.
Mind the med-spa boundary
Cosmetic prompts tolerate marketing language; clinical prompts don't. Separate the surfaces so aesthetic content never undermines the clinical credibility engines weigh.
5

FAQ

Answers to common questions about this report.

What is AI visibility for healthcare?
Whether AI engines name your clinic when people ask for care - “best dermatology clinic”, “urgent care near me”. It's determined by your presence in the sources engines trust for health: directories, credential records, reviews and institutional data.
Is using ChatGPT in healthcare HIPAA compliant?
Consumer ChatGPT is not a HIPAA-covered environment - clinics shouldn't put PHI into it. But AI visibility work involves no patient data at all: it's about your public profiles, credentials and content, which is what this page measures.
Which sources do AI engines cite for clinics?
In our probes: health directories (Healthgrades, Zocdoc), Google Business data, institutional/.gov sources for medical context, and review platforms - see the live source mix above.
Why don’t the prompts include a city?
Engines localize to the person asking, so we probe with country-qualified prompts. Your own city-level visibility is what a brand-level scan measures for your clinic.
How can my clinic get started?
Run a free AI visibility scan with your clinic name or website. In about two minutes you’ll see where you appear across engines, which sources cite you, and what to fix first - no patient data involved.

See where your clinic appears across all AI engines.

The data above is the industry view. Run a free scan to get the same report for your clinic: where you show up, who outranks you, and what to fix first.

Run my free scanHow to track your brand in AI
Zene dashboard: a brand's AI visibility score, the next automatic scan, and per-engine cards for ChatGPT, Claude, Gemini and Perplexity