What is generative engine optimisation (GEO)?
A plain-English guide to generative and answer engine optimisation: what GEO and AEO mean, how they differ from normal SEO, and how to earn AI citations.
Search is splitting in two. One half still looks familiar: a query, a list of links, a click. The other half answers the question outright. You ask ChatGPT or Google which supplier to use, and it hands back a short list of names with a sentence each. Generative engine optimisation is how a business makes sure it is one of those names.
The short answer
Generative engine optimisation, or GEO, is the work of getting your business cited inside AI-generated answers rather than only ranked in a list of links. The target is the answer itself: the few sources an engine pulls from when it writes a reply to a buyer’s question. The term comes from a 2023 research paper that first measured how content can be structured to win those citations.
You will also see answer engine optimisation, or AEO, used alongside it. The two overlap so much that many teams treat them as one discipline. The useful distinction: GEO is the goal of being the cited source across generative engines, and AEO is the on-page craft of writing answers those engines can lift cleanly. Do the AEO work well and the GEO outcome tends to follow.
Why this matters now
Around a quarter of Google searches already return an AI Overview, and most of those searches end without anyone clicking a normal result. When the engine answers the question, your rank on page one is never seen. The sources AI engines cite also overlap with the classic top ten far less than people assume, which means a brand can rank well and still be completely absent from the answer its buyers actually read.
That is the shift GEO responds to. Ranking earns a chance to be clicked. Citation earns a place inside the recommendation. As more buyers ask an engine before they ask a search box, the second is worth building deliberately.
How GEO differs from normal SEO
Classic SEO and GEO share a foundation. Technical health, genuinely useful content and real authority still matter, because generative engines lean heavily on the search index and highly ranked pages when they answer with live retrieval. Google’s own guidance is that the same fundamentals that help you in Search help you appear in AI features.
The differences are about target and format:
| Dimension | Classic SEO | Generative engine optimisation |
|---|---|---|
| What you win | A ranked link | A citation inside the answer |
| Who reads it | A person scanning results | An engine synthesising a reply |
| Unit of content | A page that ranks | A passage that can be quoted |
| Success signal | Position and clicks | Recommended, cited or mentioned |
| How you measure | Rank tracker | Probe set across AI engines |
The practical consequence: GEO rewards content that answers a specific question directly, early, and with evidence a machine can extract without guessing.
What actually earns AI citations
Four patterns do most of the work.
-
Make your entity unambiguous. Engines cite brands they can identify with confidence. One consistent name, description and category across your site, Google Business Profile, LinkedIn and directories, backed by Organization and Service structured data, is the machine-readable version of who you are. Inconsistency reads as risk, and engines skip risky sources.
-
Answer real questions directly. Take the questions buyers ask before they choose, and publish a clear answer to each, with the answer in the first lines rather than buried under preamble. Mirror it in FAQ structured data so the engine reads exactly what the human reads.
-
Be present where engines already look. Generative engines lean on sources they trust: category roundups, review platforms, comparison pages, reputable publications. Being accurately represented on the pages that already rank for your category feeds the answers those pages get synthesised into.
-
Keep the classic foundations strong. When an engine retrieves live data, it pulls from pages that already rank. Weak technical SEO caps how often you can be cited no matter how well a single page is written.
None of this is a trick. The research that named GEO found that clear structure, cited statistics and quotable phrasing measurably increased how often content was surfaced in generative answers. That is the same content quality good SEO has always rewarded, aimed at a new consumer of the page.
How to measure it
You cannot manage a channel you never read. Treat AI visibility the way you treat rankings: run the same buyer questions through ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews on a schedule, record the outcome for each, and watch the trend month over month. A lost citation deserves the same attention as a dropped first-page ranking.
If you want that baseline done for you, the free AI visibility report runs a structured probe set across the engines and sends back exactly what they say about your business today, with the gaps that are costing you citations.
The honest caveat
GEO is not instant. Entity signals and citations build over weeks and months, which is precisely why the businesses that start early tend to keep the citations once they earn them. There is also no paid placement inside organic AI answers, so this visibility has to be earned rather than bought, which is what makes it compound like an asset instead of renting like an ad.
If you would rather have the entity work, answer-ready content and nightly measurement handled as one system, that is what an AI SEO agency does. Either way, the first step is the same: find out what the engines say about you now, then fix the gaps in order.
Common questions
What is generative engine optimisation?
Generative engine optimisation, or GEO, is the practice of making your business the source that AI answer engines cite when they generate a reply. Instead of chasing a ranked link, GEO earns a mention or recommendation inside answers from ChatGPT, Perplexity, Gemini and Google AI Overviews.
What is answer engine optimisation?
Answer engine optimisation, or AEO, is optimising your content so engines can lift a clean, direct answer straight from your page. It overlaps heavily with GEO. GEO is the broader goal of being cited by generative engines, and AEO is the on-page discipline of writing answers those engines can quote.
Is generative engine optimisation different from normal SEO?
It builds on the same foundations but changes the target. Classic SEO earns a ranked blue link. GEO earns a citation inside the AI answer itself. Since roughly a quarter of Google searches now trigger an AI Overview and most end without a click, being the cited source matters more each month.
How do I know if AI engines cite my business today?
Run the questions your buyers actually ask through ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews, in several phrasings, and record whether you are recommended, cited, mentioned or absent. One prompt is not a reading. A structured probe set across the engines gives the real picture.