Generative Engine Optimization (GEO)

What GEO is

Generative Engine Optimization is the work of making your business the one an AI assistant names when someone asks it a question in your category.

The shift is subtle but total. Traditional SEO competes for a position on a results page. GEO competes to be quoted — because increasingly there is no list of ten blue links to hold a position in. Someone asks ChatGPT for a marine mechanic in Beaufort and gets three names. You are in that answer or you are invisible to them.

Why the old playbook doesn’t fully transfer

Search engines matched keywords against pages. Generative systems assemble an answer from sources they retrieve and trust, using retrieval-augmented generation. That changes what wins:

• Being unambiguous beats being keyword-rich. The model needs to establish that you are a specific entity — a real business, at a real address, offering specific services — before it will risk naming you.
• Extractable beats comprehensive. A 2,000-word page with the answer buried in paragraph nine loses to a page that states it plainly in two sentences. See direct-answer format.
• Consistency across the web beats on-page optimization. If your details disagree across directories, entity resolution fails and the model has no confident business to name.

What actually moves the needle

In rough order of impact for a local service business:

1. Fix your NAP consistency everywhere. Unglamorous, and it is the foundation everything else rests on.
2. Claim and complete your Google Business Profile. It is a primary source for local answers across multiple assistants, not just Google.
3. Add schema markup — LocalBusiness and Service types, plus sameAs linking your profiles together.
4. Write pages that answer real questions directly, in the words customers actually use, with the answer in the first two sentences.
5. State the specifics — service area, hours, what you do and explicitly do not do, price ranges where you can. Models cannot infer what you never wrote down.
6. Earn mentions on sources the models already trust — local press, suppliers’ dealer locators, industry associations, chambers of commerce.

How you know it’s working

The honest answer is that measurement here is less mature than in traditional SEO, and anyone claiming precise rank-tracking for AI answers is overselling.

What can be tracked reliably is citation frequency: ask the assistants the questions your customers ask, on a fixed schedule, and record whether you get named. It is closer to a poll than a scoreboard — but it is a real measurement, it moves when the work is done, and it is far more informative than a keyword rank that no longer describes where anyone looks.

What to be skeptical of

GEO is new enough that the market is full of confident claims with nothing behind them. Be wary of anyone who:

• Guarantees placement in AI answers. No one controls these systems’ outputs.
• Sells llms.txt as a ranking mechanism. Support for it is genuinely mixed and Google has said it does not use it.
• Treats GEO as separate from your existing web presence. Nearly all of it is the same structural work that makes a site legible to search engines — done properly, and with the answer written where a machine can lift it.