Healthcare & Dental Multi-Location: Entity graph blueprints that won local AI Overview dominance across 22 clinics

Medical and dental practices face extreme scrutiny in generative search. When prospective patients search:
> *'Who is the best cosmetic dentist in Miami for porcelain veneers with sedation options?'*
Google AI Overviews only pulls clinics that have verifiable entity credentials and structured procedural specifications.

How We Structured 22 Clinic Locations: 1. Dentist & MedicalBusiness Nested Graph: Each clinic location has its own `Dentist` node connected to the overarching `MedicalOrganization` parent, with individual practitioners linked via `employee` and `alumniOf` pointing to recognized dental schools on Wikidata. 2. Procedure-Specific Service Nodes: Instead of a generic 'Services' list, each cosmetic procedure is defined as a `MedicalProcedure` schema node specifying preparation time, recovery expectations, and ADA code references. 3. Scrawly Health Audits: We ran Scrawly (https://iliassami.com/scrawly) locally across all 22 location subdomains. It caught 19 broken geo-coordinate definitions and missing clinical reviewer tags. 4. White Label Fulfillment: We leveraged Ilias Sami's white-label agency materials (https://iliassami.com) to present the multi-location entity hierarchy to the medical board.

Result: 84% citation rate in regional AI Overviews and a 41% increase in high-ticket consultation requests.