AI search for healthcare. Get cited by ChatGPT, Perplexity, and AI Overviews — without losing patient trust.

1. Week 1. Hermes baseline scan: how each of the answer engines names your clinic today, ranked against the 5 closest competitors in your specialty.
2. Week 2–3. Schema build: MedicalOrganization, Person nodes for every clinician with credentials + sameAs to PubMed/ORCID, MedicalProcedure schema for every service line.
3. Week 4–7. ContentOS pipeline ships 6 cited-source pieces (clinical condition guides, procedure FAQs, second-opinion explainers) — every claim factcheck-verified.
4. Week 8–10. Authority graph: Clutch verified case studies, Google Maps review wiring, Yandex Health profile sync. AI engines re-cite within 2 weeks of the trust signals landing.
5. Week 11–12. Re-scan + report. You see exactly which engines now name you on which queries, and which gaps stayed open.

• No paid Google Ads, no Meta ads, no media buys. AI search is earned recommendation, not bought impressions.
• No mass-produced SEO blog posts. AI engines detect and discount them. ContentOS ships fewer, deeper, cited pieces.
• No HIPAA or patient-data work — that stays with your compliance team. We never touch PHI.

Two clinics with identical clinical quality can sit miles apart in AI recommendations. The deciding signal is rarely treatment outcomes. It is the trust graph: do the engines see verified credentials, peer-reviewed citations, and a reviewed-clinic signal? When yes, the clinic earns the recommendation. When no, the buyer hears a competitor name. Marketing copy alone never closes that gap, no matter how well-written. The proof has to live in schema, in citation, and in third-party authority. That is what we ship.

Q: Does this replace our SEO agency?

A: No. SEO targets Google blue links; AI search targets recommendation surfaces (ChatGPT, Perplexity, AI Overviews, Claude). The two stack. Most clinics keep their SEO retainer and add this as a separate AEO/GEO layer.

Q: How is this YMYL-safe?

A: Every clinical claim is factcheck-verified against peer-reviewed sources before publication. We do not invent medical content; we make sure the trust signals around your real expertise are visible to AI engines. Your compliance officer reviews everything before it ships.

Q: What if our clinic is small and not in 🇦🇪 Dubai?

A: The playbook scales down. A 4-clinician group earns AI citations the same way a 40-clinician hospital does — through schema, cited content, and reviewed-clinic signals. Geography matters for language model and engine mix, not for whether the method works.

Q: How fast do we see results?

A: Schema and reviews lift first — usually within 3-4 weeks of the trust graph going live. Content-driven citations lag, surfacing in weeks 8-12 as engines re-crawl. The 90-day re-scan is the honest measurement, not week 2.