Generative Engine Optimisation is the work of getting your content surfaced and cited inside AI-generated results, the sibling term to AEO used more often with generative chat tools in mind.
Updated
When someone asks ChatGPT, Perplexity or Google's AI a question, the tool writes an answer by drawing on sources it has read. GEO is about making sure your business is one of those sources, and that the answer names you rather than a competitor.
It is the sibling term to AEO, and in practice the two describe much the same job. The rough distinction is emphasis: AEO tends to get used with answer boxes like Google's AI Overviews in mind, while GEO is used more often with generative chat tools, ChatGPT, Claude, Gemini, where the whole reply is written by a model. I would not lose sleep over the boundary. If your content is clear, well sourced and easy for a machine to read, it works for both.
The levers are familiar to anyone who has done real SEO: clear writing organised around genuine questions, direct answers a model can lift without ambiguity, credible sourcing, and clean structured data so a system can parse what your page is about. What GEO adds is writing with the knowledge that a language model, not just a person, is now one of your readers.
One honest caveat: measuring GEO is hard, and anyone selling you a neat ranking report for it is overselling. You can see referral traffic from these tools and check whether they describe your business accurately, but there is no clean equivalent of a keyword position. A few tools, Ahrefs' Brand Radar and Semrush's AI visibility tracking among them, now offer a dashboard of sorts, but treat the numbers as directional. I would rather be upfront about that than pretend otherwise.
Key points
- GEO is about being cited inside AI-written answers, not just ranking in the list of links.
- It is the sibling of AEO; the difference is mostly which engine you picture, chat tools versus answer boxes.
- The levers are clear question-led content, direct answers, credible sourcing and structured data.
- It builds on solid SEO rather than replacing it.
- Measurement is imperfect; no tool gives you a clean GEO ranking.
Frequently asked questions
Common questions about generative engine optimisation.
Any tool that writes an answer from sources it has read: ChatGPT, Claude, Gemini and Perplexity, and the AI answers Google puts above its results. They behave differently and cite differently, so I would not optimise for one of them in isolation. Pages that are clear, well sourced and easy to parse tend to do well across all of them.
Start with the question the page is meant to answer and put a direct, self-contained answer near the top. Then back it with a named source or a real figure, and check the structured data says what the page is about. Those three changes cost little and make a page easier for a model to quote accurately.
It was coined in a 2023 research paper from Princeton and Georgia Tech, presented at KDD 2024. The authors found that adding credible citations, statistics and quotations made content more likely to be surfaced in generative answers, and that keyword stuffing did not help. Marketers have used the term loosely since, which is why it overlaps so heavily with AEO.
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