SEO vs. GEO: what each one is and how they differ

In short

• SEO (Search Engine Optimization) is the work of getting a search engine like Google to show your pages in the top results when someone searches for something related to your business.
• GEO (Generative Engine Optimization) is the work of getting an AI assistant (ChatGPT, Gemini, Claude, Perplexity, Copilot or Google's AI Overviews) to mention and recommend your business inside the answer it writes.
• The underlying difference: a search engine shows you; an assistant chooses you. In SEO the customer decides among ten links. In GEO the engine decides for them and hands over two or three names.
• SEO is predictable and repeatable. GEO is probabilistic: you can't guarantee being named, only increase the probability that you are.
• One doesn't replace the other. SEO gets you a seat at the table; GEO decides whether you're named in the conversation.

What is SEO?

SEO (search engine optimization) is the set of practices that help a search engine find your pages, understand them and place them in a good position in its list of results.

A search engine works like a huge, very fast filing cabinet: it crawls the web, stores pages in an index and, when someone types a search, returns the ones that match best, ranked by rules that are reasonably well understood. SEO works on those rules on three fronts:

• Technical: that the site can be crawled, loads fast and is properly indexed.
• Content: that there's a page that answers well what people are searching for.
• Authority: that other trustworthy sites link to you and mention you.

Success is measured in position and clicks: where you appear and how many people reach your site from there.

What is GEO?

GEO (generative engine optimization) is the set of practices that get AI assistants to mention your business, recommend it and do so with correct information, when a customer asks about your category without naming you.

An AI assistant doesn't return a list: it writes a new answer every time. To do so it combines two things: what it learned during training and, often, what it finds by searching the web in that moment. GEO works on both:

• That they can read you: that the AI companies' bots have access to your site.
• That there's something citable: pages that directly answer your customer's questions, in a format that's easy to extract.
• That you're in the sources the engine consults: often it isn't your site, but comparisons, forums, directories or media the assistant cites to answer about your category.

Success is measured in mentions, recommendations and the terms you're named in, not in clicks.

Are GEO and AEO the same? Yes. AEO (Answer Engine Optimization) names the same work. GEO comes from academia and AEO from the SEO world; they ended up in the same place. «AI visibility» says the same thing in plain words.

The differences that really matter

1. A list versus an answer

On Google your customer sees ten links, opens three and compares on their own. In an assistant they get an already-digested paragraph that says "you should go with X or Y." The decision shifts: in SEO the customer decides; in GEO the engine shortlists for them. If you're not in that answer, you don't exist for that decision.

2. Appearing versus being recommended

In SEO, being in position 4 is being there. In GEO an engine can name you as an example of what to avoid, or mention you third behind two competitors. That's why a mention alone isn't enough: what matters is the position within the text, the sentiment and the exact sentence it uses about you.

3. Ten spots versus two or three

A results page has room for many. An AI answer usually names a handful of businesses. Competition is more concentrated: either you make the short list, or you don't appear.

4. Your page versus the pages that talk about you

In SEO you compete with your own page. In GEO, much of what the assistant says comes from third-party sources: a Reddit thread, a competitor's blog, a comparison article. You can have the best page in your category and still not show up, because the engine is reading other ones.

5. Searching versus remembering

A search engine always consults its index. An assistant sometimes searches the web and sometimes answers from memory, without searching at all. That has a huge practical consequence: if the engine didn't go searching, no change to your site could have affected that answer. That's why it's worth also measuring the activation rate: in how many answers the engine actually searched.

6. Keywords versus full questions

On Google people type "form LLC from Mexico." To an assistant they ask "what's the best service to form a U.S. LLC if I live in Mexico and don't have an SSN?". The questions are longer, with context and conditions, and the engine builds the answer for that specific case. Your content has to answer scenarios, not just terms.

7. Predictable versus probabilistic

This is the most technical difference, and the one that most changes what you can be promised:

• Deterministic means the same conditions always produce the same result. An elevator: you press 5 and you go to 5. A search engine is similar: if someone searches the same thing tomorrow from the same city, they see almost the same as today.
• Probabilistic means there are several possible results, each with its own probability. The weather: "70% chance of rain" isn't an excuse, it's the honest way to describe it. An AI assistant writes each answer by picking, word by word, the most probable one, so the same question asked twice can name different businesses.
• Stochastic describes a system with randomness that also changes over time, like a stock price. GEO is probabilistic in each answer and stochastic over the months: models get updated and the whole system shifts.

Answers vary for four reasons no tool eliminates: the engine rewrites the answer every time; each user has a different context (for example, an assistant that remembers previous conversations); within the same product there are different modes and models; and the answer changes with the language and the place the question is asked from. The same question from Miami and from Orlando, or in Spanish and in English, can name different businesses.

8. Visible traffic versus dark traffic

SEO has Search Console: you know which searches brought you visits. In GEO there's no equivalent. ChatGPT tags its links with utm_source=chatgpt.com, but with other engines the source is often lost, especially when the link is opened from a mobile app, and the visit shows up in your analytics as direct traffic. On top of that, the customer often doesn't even click: they read your name and search for you later. That's why GEO talks about signal, not exact attribution.

SEO and GEO, side by side

So is SEO no longer useful?

It is, and it's still the foundation. When an assistant searches the web, it finds pages that were already indexed. If your site can't be crawled, or the page that answers that question doesn't exist, there's nothing for the AI to cite.

Much of what improves your presence in AI answers is authority and content, the usual ground. What changes is which surface you aim at, which sources you need to work on besides your own, and what you measure afterward. That's why you should be wary of anyone selling you GEO as a secret lever separate from everything else.

How do you measure something probabilistic?

With ranges, not with a number. Just as the forecast doesn't say "it's going to rain," an honest GEO measurement doesn't say "your visibility is 34."

Four minimum rules:

1. Ask questions that don't name you. If you ask "what do you think of [your business]?", the engine will always mention you. What matters is whether you appear when the customer doesn't know you exist yet.
2. Repeat each question several times and report the range, not a single run.
3. Say how many runs are behind each figure. 100% over two attempts isn't 100% over sixty.
4. Keep metrics separate instead of merging them into a single score: how often you're recommended, what share of the category's mentions you get, and in how many answers the engine actually searched the web.

If a tool hands you a single number and won't let you read the answers behind it, you can't audit it. And in a system that changes on its own, a number that moved is indistinguishable from one that moved because you did something. That's where the hardest question comes from: how to know whether your GEO work actually paid off.

Frequently asked questions

What is the main difference between SEO and GEO? SEO aims for a search engine to show your page in a list of results; GEO aims for an AI assistant to name you and recommend you inside the answer it writes.

Does GEO replace SEO? No. AI assistants cite pages that are already indexed, so SEO is still the foundation. GEO adds a layer: which sources each engine consults, how it describes you and whether it recommends you.

Can anyone guarantee I'll show up in ChatGPT? Not honestly. AI answers are probabilistic: you can increase the probability of being named, not ensure it.

How long does GEO take to show results? It depends on two things: whether the engine searches the web or answers from memory, and how mature your market is in AI adoption and GEO strategy. Where almost nobody is working on it yet, results can show up in about 60 days. A real case: Puente Assist, which forms U.S. LLCs for Latin American entrepreneurs without an SSN, went from 0% to 22.8% visibility in 68 days.

Related terms

See also what is GEO?, what is AEO? — the acronym also used for the same thing — and mention and citation.