The search results page is losing its monopoly
For twenty years, "getting found" meant ranking on a page of ten blue links and a map pack. Patients scanned, compared, and clicked. That still happens, but a growing share of patients now skip it entirely: they ask ChatGPT, their phone's assistant, or the AI summary at the top of the results page, and they get a synthesized answer that names two or three practices.
That change raises the stakes. On a results page, ranking fifth still earned you some clicks. In an AI answer, you are either one of the few names mentioned or you do not exist for that patient. It is winner-take-most, and most practices have no idea whether they are winning.
Where AI answers actually come from
There is no AI phone book. When an assistant recommends an eye doctor, it assembles the answer from the same public signals that power local search, weighted toward sources it can verify and quote:
- Your Google Business Profile and map data. Category, services, hours, rating, and review count. This is usually the skeleton of the answer.
- Your reviews, read for themes. AI systems do not just count stars; they summarize. "Patients mention thorough exams and easy booking" comes straight from review text. Thin or stale reviews give the model nothing to say about you.
- Your website's structured data. Schema markup labels you as a local optometry practice with specific services, in a format machines trust without guessing.
- Consistent mentions across directories. When your name, address, and phone match everywhere, you look like one real entity. When they conflict, models hedge, and hedging means leaving you out.
- Plain-language content that answers questions. Pages that clearly say what you do, who you serve, and what insurance you take give the model quotable material.
Notice what this list is: local SEO fundamentals, held to a stricter standard. There is no separate "AI SEO" discipline, just less tolerance for mess. Search engines rank sloppy data; AI answers skip it. If you have read our local SEO guide, you already know the work. AI search raises the penalty for not doing it.
Audit yourself in ten minutes
- Open ChatGPT or Gemini and ask the questions your patients ask: "best eye doctor near [your neighborhood]," "optometrist that takes VSP in [city]," "where should I get a kids eye exam in [area]."
- Note three things: do you appear, what does it say about you, and what does it get wrong.
- Ask your phone's assistant the same questions out loud. Voice answers are usually shorter, often naming one or two practices.
- Check what the answer cites. Most assistants show sources: usually Google's business data, a directory, or a practice website. Those citations are your to-do list.
If the answers are wrong about you, resist the urge to argue with the chatbot. Fix the source: the profile, the directory listing, the missing page on your site. The answers regenerate from upstream data, so upstream is where you win.
What actually moves the needle
- Complete your Google profile using the checklist: right category, full services list, current hours, real photos.
- Build steady review volume with substance. Ask happy patients consistently; the themes in their words become the words AI uses about you.
- Add structured data to your website, and make sure every location has its own page with address, hours, and services in plain text.
- Reconcile your listings. One name, one address format, one phone number, everywhere.
- Publish answers to the questions patients actually ask: insurance, walk-ins, pediatric exams, contact lens fittings. One clear page per question beats one vague page about everything.
What to ignore
Nobody can sell you guaranteed placement in AI answers. There is no ad slot, no submission form, and no trick that survives a model update. Anyone promising "#1 in ChatGPT" is selling the 2026 version of "#1 on Google" pixie dust. The unglamorous truth is that citable, consistent, well-reviewed practices get recommended, and everyone else does not.
That work is exactly what ODpal Local does every month: the profile, the citations, the reviews, the structured site. Ask an AI who the best eye doctor near you is, and if you do not like the answer, book a demo and we will show you how to change it.