What Is Generative Engine Optimization (GEO) for Practices?

Generative engine optimization (GEO) is the practice of increasing the chance that AI models such as ChatGPT mention your practice when they write an answer about your kind of care. It sits under AI SEO and overlaps with answer engine optimization. Where AEO shapes your own pages, GEO is mostly about how the rest of the web describes you. Some researchers use GEO more broadly, to include on-page rewrites, and I use it here for the off-site half.

How generative engine optimization works

A generative engine is any tool that writes a new answer instead of listing links. ChatGPT, Perplexity, Google's AI Overviews and AI Mode all fit. The word "generative" matters because the tool composes sentences, and a practice only appears in those sentences if the tool has a reason to include it.

That reason comes from two places. A large language model learned patterns from enormous amounts of text during training. Many tools also search live pages while answering. In both cases, the picture of your practice is assembled from many sources at once, including your website, directories, reviews, press, podcasts, association pages and community posts. If those sources agree, the model has a clear fact to repeat. If they conflict, or barely mention you, it has little to work with and will usually name someone else.

Three studies, all measuring correlation and not cause, show where the weight tends to sit.

• Independent sites that point to you. SE Ranking analyzed 129,000 domains and 216,524 pages and found referring domains were the strongest predictor of ChatGPT citations. Domains with up to 2,500 referring domains averaged 1.6 to 1.8 citations. Those with over 350,000 averaged 8.4.
• Mentions of your brand. Ahrefs studied 75,000 brands. YouTube mentions had a correlation of about 0.737 with AI visibility, and branded web mentions ran 0.66 to 0.71, consistent across ChatGPT, AI Mode and AI Overviews. Backlinks were only weakly correlated.
• Where health citations come from. MGMA's analysis of 33,340 ChatGPT citation events across 200 practices was written by the founder of a commercial service, so treat it as one vendor's data. It found a spread of sources, led by hospital staff rosters, practice websites and specialty association credentialing pages.

The practical reading is that your own site is necessary and not sufficient. It is one voice among many. GEO work therefore has four levers.

1. Consistency. Your name, address, phone and specialty match everywhere, which is the job of NAP consistency.
2. Corroboration. Independent, credible pages confirm what you say about yourself.
3. Specificity. Reviews, bios and articles name the actual treatment and condition, not just "great care."
4. Reach. More places mention you in ways a model can read, including video, podcasts and local press.

No strict industry standard separates GEO from AEO, so I find it more useful to think in two outcomes. The first is being recommended when a patient asks for someone like you. The second is being described accurately when a patient asks about you by name, which is tracked under AI brand accuracy. A practice can win one and lose the other. There are also false levers worth naming so you can skip them, such as fake or purchased mentions and mass-produced pages. They give a model nothing real to corroborate, and they put your reputation at risk.

GEO feeds directly into whether a model gives you an AI brand mention, the moment your name appears in the text of an answer. It is also why a practice can rank well on Google and still be missing from ChatGPT. Ranking depends on your pages. Being named depends on the whole web.

For the page-level side of the work, see answer engine optimization. Together they make up AI SEO.

One caution about timing. Models that answer from memory only change when their makers retrain them, so a fix you make today may not show up there for a long time. Tools that search live can pick up changes sooner. That is why I test in more than one tool and treat any single result as a snapshot and not a verdict on the work.

Example: GEO at a health practice

This example is illustrative, not a transcript. Consider a med spa in a Phoenix suburb. It has a good website with clear treatment pages. But its name appears as "Example Aesthetic Studio" on its site, "Example Med Spa" on two directories and "Example Aesthetics LLC" on its state business filing. Its reviews say "loved my visit" and "so friendly" with no mention of a treatment. Local press has not covered it.

A patient asks ChatGPT for the best place for laser skin treatment in the area. The answer names two competitors. One has a directory presence under a single name, review text that mentions laser resurfacing by name, and a feature in a regional magazine. The med spa is not named.

Run the MGMA numbers against this picture. In MGMA's sample, practice-owned websites made up about 23% of cited sources, specialty association pages 22.1%, national medical directories 8.3% and regional "Top Doctors" magazines 2.7%. The med spa owns one slice and is absent from the rest. This was a ChatGPT sample from May 2026 using the API, so it is a snapshot and not a rule, but the direction is useful.

The fix is mostly off the website. Pick one legal and public name and apply it on every listing. Claim the missing directory profiles. Ask happy clients for reviews that name the treatment they received. Pitch a local publication a useful story, such as what to expect at a first laser session. Add a plain description sentence to every profile.

None of that ensures a mention, and I would not promise one. It does remove the specific reasons a model had to pass the med spa over, and each fix is cheap and checkable. Retest the same laser question next month and compare. If the med spa starts appearing, the log shows which fix coincided with the change. If it does not, the log shows which source the tool cited instead, and that becomes the next page to earn a listing on.

How to check yours in 60 seconds

1. Ask ChatGPT, "What do you know about [your practice name] in [city]?"
2. Read whether it describes your actual specialty and location correctly.
3. Ask, "Who are the top [specialty] practices in [city]?" and note whether you appear.
4. Repeat in Perplexity.

If the first answer is wrong or empty, you have a GEO gap. Write down exactly what it got wrong, because each error points to a source to fix.

What to do about it

1. Write one plain sentence describing your practice and reuse it on every profile.
2. Match your name, address, phone and specialty on every listing.
3. Claim your providers' profiles on association, licensing and national directory pages.
4. Ask happy patients for reviews that name the treatment they received.
5. Earn mentions from local press, podcasts and professional associations, and record short videos that explain what you treat.
6. Publish specific, useful pages on the conditions you treat, and keep health claims within what you can support.
7. Retest every month and note what changed.

The longer method is in the generative engine optimization guide.