In one sentence: SEO gets your page ranked, AEO gets your business quoted in a direct AI answer, and GEO (Generative Engine Optimisation) is the academic/technical term for the same broad idea as AEO — the two are used almost interchangeably in practice.
The three, side by side
- SEO (Search Engine Optimisation): optimising a web page so it ranks highly on a traditional search results page, which a human then browses and clicks.
- AEO (Answer Engine Optimisation): optimising content so an AI assistant can extract it and use it directly in a spoken or written answer — the reader is the AI, not (yet) the human.
- GEO (Generative Engine Optimisation): the term used in the research literature for the same practice — the peer-reviewed study that put a number on this (Aggarwal et al., Princeton, 2024) used "GEO" as its name for it. If you see GEO in an agency's pitch deck, assume it means the same thing as AEO.
Do you need all three?
Practically, yes — but not as three separate projects. AEO/GEO builds on the same foundations as good SEO (genuinely useful content, a technically healthy site) and adds a specific layer on top: structured data, answer-first formatting, and being findable by AI crawlers specifically. Businesses with reasonable existing SEO usually only need to add that extra layer, not start over.
Where most small businesses should start
The Princeton GEO study tested nine different content changes for their effect on AI-answer visibility and found something worth knowing before you spend money on this: adding verifiable statistics, credible quotations, and citing reliable sources produced the biggest gains — up to roughly 40% more visibility in AI-generated answers — while keyword stuffing had no effect or actively hurt (Aggarwal et al., "GEO: Generative Engine Optimization," Princeton/ACM SIGKDD, 2024). In other words: the fix is making your content more genuinely credible and specific, not cramming in more keywords.
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