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What Is GEO? How to Get Your Business Recommended by ChatGPT
AI assistants now answer with a handful of business names instead of ten blue links. Here is how to become one of them.
For twenty years, getting found online meant one thing: rank on Google. You optimised a page, earned some links, and if you did it well you appeared in a list of ten results. The customer picked from that list.
That model is quietly breaking. When someone asks ChatGPT for a good web designer for a small bakery, they are not handed ten options. They get two or three names, in a paragraph, with no obvious way to see who else was considered. If your business is not one of those names, you were never in the running.
Why search changed
The shift is not that people stopped searching. It is that the answer arrives pre-digested. An AI assistant reads dozens of sources, synthesises them, and returns a confident recommendation. The work of comparing options, which used to happen in the customer head as they scanned results, now happens inside a model.
Search used to give customers a list to choose from. Increasingly it gives them an answer. GEO is how you make sure your name is in it.
What GEO actually is
GEO is often confused with SEO, and they do overlap: a site that is technically sound and genuinely authoritative tends to do better at both. But the target is different.
- SEO earns you a ranked link. Success looks like position three for a keyword.
- GEO earns you a mention inside a generated answer. Success looks like being named when someone asks an assistant for a recommendation.
How models choose who to name
No one outside the labs knows the exact mechanics, and anyone claiming otherwise is guessing. But the observable behaviour is consistent enough to work from. Models tend to surface businesses that are:
- 1. Unambiguous. The content states plainly what the business does, where, and for whom.
- 2. Structured. Information is in a form a machine can extract: clear headings, direct answers, schema markup.
- 3. Corroborated. The same facts appear across multiple independent sources.
- 4. Current. Recently updated content signals the business is still operating.
Five practical steps
1. Write the answer, not the tease
Marketing copy is trained to build intrigue before revealing anything. Models do not enjoy intrigue. Put the substance first and the personality around it.
2. Answer real questions explicitly
Find the questions customers actually ask (from your inbox, your calls, your reviews) and answer each one under a heading phrased the way the question is asked.
3. Add structured data
Schema markup tells machines exactly what they are looking at. It is invisible to visitors and highly legible to everything else.
4. Make your details identical everywhere
Your business name, address, and phone number should match character-for-character across your site, Google Business Profile, and every directory you appear in.
5. Earn mentions on sources models already read
A single mention in a trade publication can carry more weight than a dozen low-quality links. You are giving the model somewhere independent to confirm you exist and do what you claim.
A realistic expectation
No one can guarantee an AI will recommend you. What you can do is make your business the clearest, best-corroborated option available to be recommended, and that is a durable advantage regardless of which assistant wins.
How to measure it
Build a list of the twenty or thirty prompts a real customer might use, then check periodically what the major assistants return. Track whether you are named, how you are described, and whether the description is accurate.
GEO is early. That is precisely the argument for starting: the businesses establishing clear, consistent, well-structured presences now are the ones these systems will keep reaching for.
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