GEO vs SEO: how optimizing for AI answers differs
SEO and GEO are cousins, not rivals. Both want your content found and trusted. But the consumer is different: SEO optimizes for a ranking algorithm that returns links; GEO optimizes for a language model that returns an answer and, ideally, cites you.
What stays the same
The fundamentals carry over completely:
- Crawlable, fast pages with sane status codes and redirects.
- Descriptive titles and meta, clean heading structure.
- Structured data that disambiguates what the page is about.
If your technical SEO is broken, GEO can't save you — a model can't cite a page it can't fetch.
What changes
| SEO | GEO | |
|---|---|---|
| Goal | Rank in a list | Be the cited source in an answer |
| Unit | The page | The quotable claim |
| Wins with | Keywords, links, intent match | Clarity, structure, self-contained facts |
| Measured by | Position, CTR | Inclusion + citation in answers |
The biggest practical shift: write for extraction. A model skims for the sentence that answers the question and can stand alone when quoted. Long, hedged, context-heavy paragraphs that work for a patient human reader often fail this test.
A simple GEO checklist
- One direct answer per question, stated early.
- Headings phrased like the questions people actually ask.
- Claims that survive being quoted out of context.
- Explicit, allowed AI crawlers in
robots.txt. - Schema that names entities and relationships clearly.
The good news: doing GEO well tends to improve classic SEO too, because clarity and structure help both audiences.
Audit your page to see your GEO and SEO scores side by side.