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.
Generative Engine Optimisation is the work of getting your content surfaced and cited inside AI-generated results. 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 actually 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 genuinely 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. 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.
Not by much. Both are about earning a mention inside AI-generated answers rather than the blue links beneath them. GEO is the term people reach for when they mean generative chat tools like ChatGPT and Perplexity; AEO gets used more for structured answer boxes. The underlying work is the same, so I treat them as one job. If you want the longer version, I wrote about how AEO, GEO and SEO fit together in Australia.
GEO is not a separate project bolted onto SEO, it is SEO done with language models in mind. If your foundations are solid, clean structure, clear writing, credible content, you are already most of the way there. The extra work is making your answers direct and quotable, and making sure a machine can tell what each page is about. Weak SEO gives GEO nothing to build on, which is why my SEO and AEO service covers both.
Honestly, it is harder to measure than a keyword ranking. The signals I trust are referral visits arriving from ChatGPT and Perplexity, your business turning up as a named source when those tools answer questions in your field, and an accurate description when you ask them about you. A few tools, Ahrefs' Brand Radar and Semrush's AI visibility tracking among them, now offer a dashboard of sorts for this, but treat the numbers as directional rather than a precise ranking.
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