01 · Audit · healthcare

AI Visibility Audit for Private healthcare & wellness

Diagnose how ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode describe, cite, ignore or misrepresent your brand.

Industry focus

For clinics, hospital groups, specialised centres and wellness brands where trust, accuracy and reputation drive choice.

Focus areas

ClinicsPrivate hospitalsAestheticsDigital healthPremium wellness

How this plays here

What this engagement
actually does for this buyer.

A Madrid private hospital group notices new patients citing AI assistants in intake interviews — 'I asked ChatGPT and your name came up'. The audit runs the patient-shaped queries that drive that funnel: condition-specific specialist searches, treatment safety questions, clinic comparisons across Spain and Europe. For each, it scores how AI describes the group's specialties, which credentials it surfaces, and which competitors it places ahead. Inaccurate specialty data, missing accreditations or wrong opening hours surface as discrete fixes — each carries a citation-rate cost the audit quantifies before any optimisation work starts.

Buyer prompts

The questions they're
asking right now.

Prompt 01

“best private hospital in Madrid for hip replacement”

Prompt 02

“side effects of robotic prostatectomy and which clinics offer it in Spain”

Prompt 03

“private fertility clinics in Spain with English-speaking staff”

Trust signals

What AI engines
are reading.

01
Verifiable credentials and accreditations: boards, peer-reviewed research, patient outcomes
02
Doctor and staff schema with specialties, education, certifications
03
Patient testimonials with verifiable identity and consent
04
Coverage in medical publications and trusted health platforms, not only marketing channels

Priorities

What matters
in this industry.

01
Trust and accuracy at maximum E-E-A-T
Medical content has zero tolerance for wrong information. AI engines weight clinical authority, peer review and verifiable credentials more here than in any other vertical.
02
Specialty and outcome data wins
Patients filter on 'best clinic for IVF', 'top hospital for transplants', 'specialist for X condition'. Without structured specialty and outcome data, you're filtered out.
03
Compliance-aware authority
Building citation-worthy content while respecting medical advertising rules and patient confidentiality is a craft. AI engines reward sites that get this right.

Buyer journey

How buyers
actually research.

Patients researching private healthcare ask AI questions they would never type into Google: 'is doctor X good for IVF', 'side effects of treatment Y', 'best clinic in country Z for transplants'. AI synthesizes from medical publications, patient reviews, hospital data and accreditations. Bad data — wrong specialty, outdated procedures, missing accreditations — costs trust and patients, not just clicks.

Deliverables

What you get
specifically here.

01
Per-specialty citation table across 25 patient-shaped queries with E-E-A-T signal scoring per engine
02
Inventory of accreditation, doctor-credential and outcome-data gaps that suppress AI mention rate
03
Competitor benchmark across 4-5 named hospital groups with side-by-side citation scores

Sources we tune for

Where the citations
actually come from.

Mayo ClinicCleveland ClinicTopdoctorsDoctolibPubMed

Compliance shape

AI presence work in this vertical runs through specialised review against AEPD, the EU AI Act and per-jurisdiction advertising rules before publication. Compliance isn't a gate after the work — it's how the work is shaped from day one.

Service context

How this engagement
fits the sector.

01 · Audit