SEO aims for a place in search results and the click that follows. GEO aims for a mention or citation inside an AI answer. The groundwork is largely shared, and Google itself calls optimising for its generative AI search "still SEO". So treat GEO as an extra lens on good SEO, not a second programme.
What is the actual difference?
The difference is in what you see and measure, more than in what you do. SEO results in a position and a click. GEO results in a sentence that may or may not name you, with or without a link. If the terms are new, start with what GEO is.
| SEO | GEO | |
|---|---|---|
| Goal | Be listed for a search | Be named or cited in an answer |
| Visible result | A position and a link | A mention, sometimes a link |
| Stability | Moves, but can be tracked per query | Answers vary per moment and per tool |
| Where it plays | Search engines | ChatGPT, Perplexity, Google's AI features and others |
| Measurement | Mature tools and reports | Newer reports, plus manual testing |
What does Google say about it?
Google is direct about this. Its guide to generative AI features says that optimising for generative AI search is optimising for the search experience, "and thus still SEO". The same guide lists several popular tactics as things you can ignore, including AI text files, special markup and breaking content into tiny pieces.
That statement covers Google Search. It doesn't tell you how other AI tools work. OpenAI and Perplexity run their own systems and document far less about how they choose sources, so anything said about them needs more care. See how ChatGPT chooses its sources.
Where do they really differ in practice?
- Crawlers. AI tools have their own bots. A site can be open to Google and closed to OpenAI's search crawler without anyone having decided that. A firewall or CDN setting is enough to cause it.
- Who gets the credit. Answers often draw on what others say about you. Reviews, directories and press matter for rankings too, but in an answer they can be the whole story.
- Reporting. Search has decades of tooling. For AI answers you combine a few first-party reports with your own test questions.
- Error risk. A search result links to your words. An AI answer rephrases them and can get your business wrong.
What does the research show, and what doesn't it show?
The 2023 paper behind the term tested content changes on a benchmark. It found that adding citations, quotations and statistics improved visibility, while keyword stuffing did little. That is useful, but it is a research setting with a test engine and a set of queries, and AI products have changed since. Read it as a hint about what makes text usable, not as a recipe.
How do you divide your time?
Our rule: spend nothing on GEO as a separate line until the shared basics pass. Work through this order and stop where you find a problem.
- Access. Can search engines and AI crawlers read your pages as text?
- Clarity. Does each key page state what you do, for whom and where?
- Substance. Do you say anything others can't? Google calls this non-commodity content and advises against recycling what is already out there.
- Confirmation. Do independent sources describe you correctly?
- GEO-specific checks. Only now: AI crawler settings, test questions in several tools, and sources that keep being cited in your field.
Most of that also improves your search results and your website for human visitors. That is the practical test for any GEO advice: if it helps only a machine and makes the page worse for a reader, skip it. A 15-point check or our free scan is a reasonable first step.
