For twenty years the goal was easy to state: rank on the first page of Google. Everyone in local marketing understood how it worked, even if winning was hard. In 2026 there's a second way customers find businesses running alongside the first, and a lot of owners haven't noticed they're already being judged on it.
That second one is GEO, Generative Engine Optimization. In this article I'll explain how it differs from the SEO you already know, where the two overlap, and how I'd split your attention between them.
Two different questions
SEO answers the question: when someone searches, does a link to my business appear, and how high? The result is a ranked list of pages, and the person still does the work of clicking, comparing and deciding.
GEO answers a different question: when someone asks an AI assistant for a recommendation, does it name my business? Here the result is an answer instead of a list. The model reads across sources and gives the person a short recommendation, often with just a few names.
This matters because the shape of the result is so different. A Google results page has a lot of slots: a map pack, ten organic links, ads and review sites. An AI answer has very few, so far fewer businesses get picked from the same pool. You can see the full numbers in our study of 48 US markets.
Why isn't this just SEO again?
It would be convenient if good SEO automatically gave you good AI visibility. Sometimes it helps. But the two work differently enough that you can be strong in one and weak in the other.
Classic SEO rewards your own website: its content, speed, backlinks and structure. AI assistants seem to lean much more on outside sources they've learned to trust, like large review platforms, community discussions, maps data and curated "best of" lists. An AI doesn't need to send anyone to your homepage to recommend you. It needs to have read enough about you, in enough trusted places, to feel confident naming you.
That's why we regularly see a business that ranks well on Google but never appears in the AI Overview sitting right above its own listing. The website is fine, but the outside evidence the model looks for is thin. I go deeper on this in the sources AI trusts, including how to be present on each one.
Where do SEO and GEO overlap?
The two don't work against each other, and a lot of the basic work pays off in both.
- Accurate business information. A complete, consistent Google Business Profile and correct listings across the web help you rank locally and give AI clean facts to repeat.
- Real reviews. Reviews are a ranking signal for local search, and they're also one of the trust signals AI answers appear to weigh when deciding who to recommend.
- Structured data. Schema markup helps search engines understand your pages and gives machines clear, unambiguous facts about your business. The LocalBusiness schema guide walks through it, and you can create valid markup with the free schema generator.
If you do these well, the same work supports both.
Where they split
The differences are where GEO asks for new habits.
- Presence matters as much as pages. In SEO you optimize pages you own. In GEO you also need to exist, accurately, on the outside sources AI reads. You don't control those pages, but you can influence what they say about you through reviews, claimed listings and profiles.
- Answers change over time and by phrasing. A ranking is fairly stable. An AI answer can differ between two runs of the same question, because these models don't give the same output every time. Measuring GEO means asking the same question several times and looking at how often you appear, instead of checking a single result.
- Your usual tools won't show it. Your Google rank is easy to check, and SEO tools give you search volumes to plan around. For AI, the numbers those tools show can be badly off for local searches.
For the same local queries, AI volume tools reported 0.53% of the demand Google measured.
When I looked at that result, what stood out to me was how easy it would be to read those tiny numbers and decide nobody asks AI about local businesses. For "near me" searches the tools often showed almost nothing, even where Google measured big demand. So if you plan GEO off a keyword tool, you may decide it isn't worth the effort before you've even checked. Asking the assistants the questions your customers ask is still the most reliable way to see where you stand.
What should you prioritize in 2026?
You don't have to choose one over the other, but you should stop assuming that doing SEO covers GEO. This is the order I'd go in:
- Get a baseline
Ask an assistant the questions your customers ask and see whether you appear. The quick check tool does this in a couple of minutes, and the prompt generator helps you come up with your own questions.
- Fix the shared foundation
Reviews, accurate profiles and schema help both SEO and GEO, so start there because none of that work is wasted.
- Close the source gaps
Find out which platforms the AI answers actually cite in your category, and make sure you exist and look strong on them. The playbook on how to get recommended by ChatGPT walks through this.
- Keep measuring
Because answers move, treat visibility as something you track, not something you check once.
SEO isn't going away, and GEO isn't replacing it. Both are now part of how people choose a local business, and the owners who keep an eye on both will be the ones who aren't surprised. LocalSeen.ai tracks your AI visibility across ChatGPT, Claude, Gemini and Google AI Overviews and shows you why a competitor gets recommended when you don't, so if you'd like to stop guessing, run your first scan.