02 · Strategy · healthcare

AI Presence Strategy for Private healthcare & wellness

Roadmap to make your brand more discoverable, understandable and citable across generative engines.

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 private hospital group with 8 specialty centers across two countries needs an AI Presence plan that respects medical advertising rules and patient privacy while still getting the brand cited. Strategy starts with E-E-A-T mapping: which specialties have credentialed authorship and outcome data, which need it, what compliance shape each surface should take. Then it sequences accreditation publication (board listings, peer-reviewed research, named-doctor profiles), aggregator presence (Doctolib, Topdoctors, Healthgrades) and editorial work (medical-publication contributions). Every milestone is reviewed against AEPD and the EU AI Act.

Buyer prompts

The questions they're
asking right now.

Prompt 01

“AI presence strategy for a private hospital group across Spain and Portugal”

Prompt 02

“how to make a clinic citable by Mayo Clinic or Cleveland Clinic-grade content”

Prompt 03

“AI visibility plan for a fertility clinic that respects medical advertising laws”

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
E-E-A-T scoring per specialty plus 90-day roadmap to close the highest-impact authority gaps
02
Compliance-aware source-acquisition plan reviewed against AEPD and AI Act constraints
03
Doctor-credential publication sequence specifying which named specialists to anchor with peer-reviewed authorship and structured profiles

Sources we tune for

Where the citations
actually come from.

Mayo ClinicPubMedDoctolibTopdoctorsNHS

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.

02 · Strategy