Healthcare SEO for ChatGPT works on retrieval rather than ranking. What changed is mechanical: crawler access tokens, passage-level extractability, entity consistency, and off-site citations. What did not change is the trust standard. E-E-A-T, YMYL scrutiny, named clinical authorship, and primary sourcing still decide which sources AI engines repeat. TL;DR Retrieval replaced ranking as the thing…

Partly, and only to specific pages. AI Overviews now appear on nearly every clinical search, so condition, symptom, and treatment content is losing clicks. The searches that book appointments, meaning provider and “near me” queries, carry far less coverage. Which pages you rank for decides your exposure. TL;DR Query type, not specialty, determines whether AI Overviews affect your traffic. Publis…

Medical schema markup is JSON-LD code that describes a healthcare page to search engines: which practice, which provider, which specialty. Core types are MedicalOrganization for the practice, IndividualPhysician for providers, and FAQPage for patient questions. It makes pages eligible for supported rich results and helps machines resolve your entities correctly. TL;DR Three types cover most heal…

To be cited in a Google AI Overview, a page must be indexed and eligible to appear in Google Search with a snippet. Google states there are no additional technical requirements. Selection then depends on answering a specific patient question directly, with verifiable clinical authorship and content that exists nowhere else. TL;DR Google publishes one eligibility rule: the page must be indexed an…

Generative engine optimization for healthcare is the work of getting a practice’s pages named as sources inside AI-composed answers. AI systems retrieve live pages at query time rather than recalling training data, so pages must be indexed and snippet-eligible. Because health content is YMYL, expertise and trust signals decide the rest. TL;DR GEO is a defined term from a 2024 ACM SIGKDD paper, n…