GEO (generative engine optimisation) and AEO (answer engine optimisation) are two names for the same job: getting your content surfaced and cited by AI engines. GEO leans academic, AEO is the industry term, and the work behind both is identical. Do not get lost in the label.
What is GEO?
GEO stands for generative engine optimisation: shaping your content so that generative AI engines, the ones that write an answer rather than list links, surface and cite it. The term came out of research into how these engines choose the sources they quote, and it frames the goal in the language of generative models. In practice, GEO means the same familiar things: clear, well-structured, credible content that is easy for a model to lift and trust.
What is AEO?
AEO stands for answer engine optimisation: making your content the source an answer engine builds its reply from. It is the term the marketing industry settled on, and it covers the same engines, ChatGPT, Google AI Overviews, Perplexity, Gemini, Copilot, and the same aim, being cited inside the answer rather than ranked in a list. If you have read anything on this site about AEO, you have read about what GEO describes.
Are GEO and AEO the same thing?
For all practical purposes, yes. Both mean structuring content to be cited by AI answer engines, and the actions they call for, answer-first writing, question-based structure, evidence, authority, crawler access, are identical. Purists will draw a line, AEO also covers older answer surfaces like featured snippets, GEO points specifically at generative models, but that distinction changes nothing about what you actually do. Treat them as synonyms with slightly different accents, and spend your energy on the content, not the vocabulary.
You will also hear GEO used for the off-site, brand-building side of AI visibility, digital PR, third-party mentions, entity recognition and author authority, and there is real substance to that framing: a large part of whether an engine cites you comes down to what the rest of the web says about you, not just your own pages. For how to build that off-site presence, brand, mentions and author authority, see off-page AEO. Just note that this is a lever of AI search in general, which AEO covers too, rather than something that truly separates GEO from AEO.
What about SEO, AI SEO and LLMO?
Since we are untangling acronyms, here is where the rest fit:
- SEO is the parent discipline: earning visibility in search. AEO and GEO are the AI-answer branch of it, not a replacement. See AEO vs SEO.
- AI SEO, SEO for AI, LLMO (large language model optimisation) are all further names for the same AI-answer work. Different coiners, same practice.
The proliferation of terms is a sign of a young field finding its language, not of many different techniques. The underlying job has one shape.
What should you actually do, regardless of the label?
Ignore the acronym and do the work, which is the same under every one of these names:
- Be readable. Let the answer-engine crawlers in and keep your content in the raw HTML. See controlling AI crawler access.
- Be liftable. Lead with the answer, use question-form headings, and structure for extraction. See structure for AEO.
- Be credible. Cite real sources, show authorship and dates, and build the brand and third-party presence that gets you recognised off-site.
- Be measured. Track whether the engines actually cite you. See tracking AI search visibility.
How does Limecube help?
Limecube is built around the work, not the acronym. It writes extractable, source-ready content, checks crawler access and structure with its Site Audit, and tracks whether ChatGPT, Perplexity, Gemini and Google AI Overviews are citing you, whichever term you file it under. The 7-day trial covers it.