Healthcare search is high-stakes and high-trust. Google classifies medical queries as YMYL, requiring stricter source verification for AI Overviews. Medical practices without MedicalOrganization schema, physician entity verification, and E-E-A-T signals are excluded from AI-generated health answers. AEO for healthcare deploys the trust stack that makes your practice citable.
of health queries trigger AI Overviews
classification = stricter citation criteria
higher entity trust threshold vs non-YMYL
Google's YMYL (Your Money, Your Life) policies apply the highest scrutiny to healthcare content. AI Overviews for medical queries require verified entity signals — not just keyword-optimized content. Practices without MedicalOrganization schema, physician credentials linked to authoritative directories, and institutional trust signals are filtered out of AI-generated health answers entirely. The bar is higher for healthcare because the stakes are higher for patients.
Practice name, specialties, insurance accepted, NPI number. The foundational schema that identifies your practice as a verified medical entity to AI engines.
Credentials, board certifications, medical school, sameAs links to medical directories. Establishes individual physician entities that AI engines can verify independently.
Condition pages with evidence-based descriptions. Structured schema for symptoms, treatments, and risk factors that AI engines cite in health answer panels.
Location, hours, phone number for local AI answers. Critical for ‘near me’ queries where AI engines recommend specific practices to patients.
Patient questions, treatment information, insurance Q&A. The highest-converting schema type for healthcare — directly answers patient queries in AI results.
Patient reviews aggregated from Google, Healthgrades, and Zocdoc. Social proof signals that AI engines use to rank competing practices in recommendations.
Patient testimonials, case descriptions, and outcome data. AI engines prioritize sources that demonstrate real-world clinical experience over generic medical content.
Physician credentials, board certifications, and published research. Each practitioner's qualifications must be machine-readable via Physician schema with sameAs links.
Institutional affiliations, medical directory listings, and sameAs links to Healthgrades, Zocdoc, and NPI registry. Cross-referencing builds the entity graph AI engines trust.
HIPAA compliance signals, verified entity markup, secure site (HTTPS), and consistent NAP data across directories. The trust layer that separates cited sources from ignored ones.
Link each physician to Healthgrades, Zocdoc, and the NPI registry via sameAs properties. AI engines cross-reference these directories to verify that a physician entity is real and credentialed before citing their practice.
Establish your practice identity with specialties, insurance networks, NPI number, and location data. This is the root entity that all physician and condition schemas connect to — without it, individual schemas lack organizational context.
Create dedicated pages for each condition your practice treats. Deploy MedicalCondition schema with evidence-based descriptions, symptoms, and treatment options. AI engines cite these pages for patient queries about specific conditions.
Structure the most common patient questions — insurance coverage, appointment process, treatment expectations — as FAQPage schema. These Q&A pairs are the highest-converting citation format for healthcare practices.
Track AI answers for your target medical queries across Google AI Overviews and Perplexity. Measure citation frequency, competitor presence, and schema validation errors. Adjust entity signals based on citation performance data.
We audit your practice's AI visibility, deploy MedicalOrganization and Physician schema, verify entity signals, and monitor citations across AI search engines. Google Partner since 2017. YMYL-compliant methodology.