Generative engine optimization is the work of making your practice’s information clear, consistent and trustworthy so AI assistants and AI search features can understand it and use it in answers. It builds on traditional SEO. Search engines still matter; AI answers add a layer on top.
Patients now ask questions in natural language: “Which dermatologist near me takes my insurance and has weekend hours?” AI systems assemble answers from sources they can read and trust. If your details are missing, inconsistent or buried, someone else gets named.
The good news: the same fundamentals help all three. Clear, accurate, well-structured content serves patients, search engines and AI.
Health information is held to a higher standard. Have a clinician review medical content, cite reputable sources, avoid promising outcomes, and follow advertising rules and your licensing board’s guidance. Do not publish patient information without proper authorization. Marketing materials should never contain PHI.
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Illustrative scenario, not a client result: the numbers below are made up to show the method.
A dermatology practice asks an AI assistant about its services and gets a wrong address and an outdated provider list. The team fixes the directory listings, updates the business profile, and adds a page per provider with credentials and a concise FAQ on insurance and new-patient steps. Three months later the same prompt returns correct details. The practice cannot control the answer, but it removed the errors it could.
| Element | What to include | Why it helps |
|---|---|---|
| Direct answer | One or two sentences saying what the service is and who it is for | Easy for people and AI to quote accurately |
| Details | What to expect, preparation, duration, aftercare in plain language | Answers real patient questions |
| Provider information | Names, credentials and a link to provider pages | Trust and authorship signals |
| Practical facts | Location, hours, insurance information, how to book | Keeps listings and answers consistent |
| FAQ | Five to eight questions with concise answers | Matches how people ask AI assistants |
| Structured data | Organization, local business and FAQ markup where appropriate | Makes content machine-readable |
| Review date | Last reviewed by a named clinician | Signals freshness and accountability |
Once a quarter, ask major AI assistants a fixed set of questions and record the answers in a spreadsheet:
Mark each answer correct, partly correct or wrong, and trace wrong answers to their source: an outdated directory, a missing page or inconsistent details. Fix the source, then retest next quarter.
Structured data labels your content so machines can read it. Common types for practices include Organization or LocalBusiness, Physician or MedicalClinic where applicable, and FAQPage for question-and-answer sections. Use valid markup that matches visible page content, test it with Google’s Rich Results Test, and avoid marking up anything that is not on the page. See the Google SEO Starter Guide.
| Signal | How to check | Frequency |
|---|---|---|
| AI answer accuracy | Fixed prompt set, scored correct / partly / wrong | Quarterly |
| Profile actions | Calls, direction requests, website clicks from your business profile | Monthly |
| New-patient source | “How did you hear about us?” captured at booking | Ongoing |
| Review volume and rating | Count and average over rolling 90 days | Monthly |
| Listing consistency | Audit of name, address, phone and hours across directories | Twice a year |
Generative engine optimization is making a practice's information clear and consistent so AI assistants can understand and accurately use it in answers.
No. No one controls AI answers. You can improve accuracy, completeness and trust signals, which raises the odds of being described correctly.
They overlap. Local SEO focuses on map and search rankings; GEO also focuses on how AI summaries describe you. The fundamentals are shared.
Avoid unreviewed medical claims, outcome guarantees, incentivized reviews that violate rules, and any publication of patient information.
Quarterly is a sensible start. Record the answers, fix incorrect sources and repeat.
We test how major AI tools describe your practice and show the fixes with the biggest impact.
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