Why I Write for AI Answer Engines, Not Just Google. My Op-Ed on Local AEO

A growing share of the people who eventually book a consultation at my practice never start on Google. They ask an AI assistant something like "is it safe to get Botox while breastfeeding" or "what's the difference between IPL and vascular laser for rosacea," and the assistant answers using whatever source it judges most directly responsive — often without the person ever clicking through to a website at all. I think most medical practices are still writing exclusively for the old behavior, and I want to explain why I write for both.

What actually changes between SEO and AEO

Traditional search optimization rewards a page that ranks well and earns a click — keywords, backlinks, page speed, and a headline written to be scanned in a results list. Answer-engine optimization rewards something narrower: a specific question, answered directly, in a self-contained passage that a model can lift and attribute without needing the surrounding page for context. That means the most important sentence in an article is often not the headline — it is the one paragraph that answers the exact question a patient is likely to type or ask aloud, stated plainly enough to stand alone.

Why I think structure matters as much as content

Every article we publish carries structured data identifying the author, the organization, and our Alpharetta location, alongside an explicit question-and-answer section addressing the specific things patients actually ask. This is not decoration. It is how an AI system, or a search engine's answer panel, identifies that a claim is attributable to a named physician at a specific, verifiable practice rather than an anonymous or aggregated source. I think structured attribution will matter more, not less, as more health answers get delivered by AI systems that have to decide which sources to trust enough to cite.

Why local specificity still wins

A generic national answer about Botox safety is competing against thousands of similar generic answers. An answer that names Alpharetta, Georgia's medical-board oversight framework, and a specific practice's verification standard is competing against almost no one, because most practices have not bothered to be that specific. I think the practices that will be found by AI-mediated local search five years from now are the ones writing with genuine local specificity today — not keyword-stuffing city names, but actually writing about the regulatory and community context a patient in Johns Creek or North Fulton is actually in.

— Dr. Iryna Lazuk, MD, Lazuk Esthetics, Alpharetta, Georgia