SEO for doctors, rewritten for the AI era
Engines don't rank pages about doctors — they describe doctors by name, and when sources disagree they hedge or blend two people into one biography. Accuracy first, visibility second: audit how the machines describe each physician before chasing any recommendation prompt.
"SEO for doctors" was always a slightly strange phrase — the practice has the website, but the patient is choosing a person. AI search makes that tension explicit, because engines don't just rank pages about doctors. They describe doctors, by name, with confidence that may or may not be earned.
The entity problem, medical edition
Ask an engine about a physician and it assembles an identity from everything it can read: the practice site, hospital affiliations, professional registries, review platforms, publications, news mentions. When those sources agree, the engine describes the doctor accurately and recommends with confidence. When they don't — an outdated affiliation here, a name shared with another practitioner there, credentials listed three different ways — the engine hedges, garbles, or worse, blends two people into one biography. We've watched engines confidently attribute the wrong specialty to the right name.
For a physician, AI visibility isn't a marketing metric. It's whether the machine describing you to patients gets you right.
What to check before anything else
Run the doctor's name through the major engines, alone and with the city, and read the answers as a fact-checker: right specialty, right practice, right locations, right credentials, no phantom affiliations, no confusion with similarly-named practitioners. Then ask the recommendation questions patients ask — best [specialty] in [city], who treats [condition] — and see whether the doctor appears at all. Accuracy first, visibility second: being recommended widely with the wrong details attached is worse than absence.
The work, in order
Make the professional record machine-consistent: one canonical rendering of name, credentials, specialties, and affiliations across the practice site, registries, hospital pages, and directories. Then build the corroboration layer engines lean on for medical judgments — professional listings, peer and institutional mentions, a live review presence. Then, and only then, chase the recommendation prompts. It's the same five checks every business faces — readability, corroboration, consistency, freshness, structure — with higher stakes and a stricter checking public.
For the practices and the agencies that serve them
Physician-level visibility work is granular — one entity at a time, measured before and after on identical prompts. That granularity is exactly why it defends well: a competitor can copy a content strategy in a quarter, but an accurate, corroborated professional identity compounds. Start with the audit — doctor by doctor. → Get your Trust Index
Invisible statewide → recommended in 4 months
A well-regarded local injury firm was visible on some hometown queries but absent from every statewide prompt — 7 of 10 tracked prompts at 0%. Four months later: 100% Share of Voice in its primary market at average position #1.3, and statewide prompts unlocked from 0% to 22%.