Answer engines · definitions
AEO vs GEO vs SEO: what's the difference?
Last updated 14 August 2026
SEO, AEO and GEO are three layers of the same goal: being found and recommended. SEO ranks your pages in search results; AEO gets your business cited in direct AI answers; GEO shapes how generative AI represents and recommends you. They share foundations — clean schema, a clear entity and trusted content — and work best together.
Side by side
The three approaches compared
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| Full name | Search Engine Optimisation | Answer Engine Optimisation | Generative Engine Optimisation |
| Goal | Rank a page in results | Be cited in a direct answer | Shape how AI represents and recommends you |
| Where it shows | Google search results | AI Overviews, ChatGPT, Perplexity | Any generative AI response |
| Success looks like | Higher position, more clicks | Named or quoted in the answer | Accurately recommended across answers |
| Main levers | Keywords, links, technical health | Schema, answer-first content | Entity clarity, trusted third-party sources |
The overlap
Where they meet — and why order matters
The three are not competitors; they are a stack. SEO is the foundation: without a crawlable, fast, clearly structured site, neither answer engines nor generative models can read you cleanly. AEO and GEO share almost all of the same technical work, which is why most practitioners treat "AI visibility" as one discipline.
The practical sequence is to fix the shared foundations first — technical SEO, structured data, a consistent entity and an accurate Google Business Profile — because those improvements pay off across search, answer engines and generative AI simultaneously. Then you layer on answer-first content and earned trust signals.
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