GEO vs SEO: what actually changed with AI search

SEO gets your page ranked in a list of links; GEO gets your brand named inside the AI-generated answer itself. They overlap — clean, fast, well-structured pages help both — but they optimize for two different moments, and you now need both.

The mechanics differ in one big way: a search engine ranks (it orders existing pages); an answer engine synthesizes (it composes a recommendation by pulling from the sources it trusts). Being quoted by a model that's writing a paragraph is a different job than sitting at position one in a list. You can rank #1 on Google and still be completely invisible in ChatGPT — plenty of brands are.

What carries over, and what's new

From SEO: technical hygiene, fast pages, clear headings, real content depth, authority. What's new in GEO:

• →Extractability over ranking — the model quotes a clean, direct answer, not marketing copy.
• →Entity clarity — it has to know who you are to cite you; vague positioning gets skipped.
• →Citations over backlinks — being mentioned in the sources models read (roundups, G2, Reddit) matters as much as classic link-building.
• →llms.txt + rich schema — explicit signals telling the AI what your site is.

The mistake is treating GEO as an SEO add-on you bolt on later. Buyers use both doors now, so we treat them as one job: named in the answer and ranked on the page. If you only do one, you're invisible to the half of the market that uses the other.

Want to know which door you're already winning — and which you're losing? A quick AI-visibility check shows exactly where you stand.