What is GEO?
A close cousin of AEO, optimising specifically for generative AI search surfaces.
GEO, generative engine optimisation, is the practice of shaping your content so AI systems like ChatGPT, Perplexity, and Google's AI Overviews are more likely to cite or recommend your business when someone asks a relevant question. It is closely related to AEO but focuses specifically on how generative AI models synthesise answers rather than how traditional search ranks links.
Why GEO matters
A growing share of research now happens through AI chat tools rather than a list of ten blue links, and those tools answer with a synthesised response rather than a page the user has to click through to. If your business is never mentioned in that synthesis, you lose visibility at the exact moment someone is actively looking for a solution, even if you would have ranked well in traditional search.
GEO matters more the more your buyers use AI tools for early-stage research, which is increasingly common for software, services, and considered purchases. Because these models are trained and updated on a cycle you do not control, being cited well today does not guarantee being cited next month, so it needs to be treated as an ongoing practice rather than a one-off project.
How GEO works in practice
- 01Write content that directly and clearly answers specific questions your buyers are likely to ask an AI assistant.
- 02Structure pages with clear headings and direct statements near the top, since models tend to extract concise, well-labelled claims.
- 03Back up claims with citable sources, data, or named examples, since models favour content that appears well-supported.
- 04Build genuine third-party mentions and citations on other reputable sites, since models weigh corroboration across sources.
- 05Keep a factual, consistent description of what your business does across your own site and external listings.
- 06Regularly test how leading AI tools describe your business and category, and adjust content where the description is wrong or absent.
Common mistakes
- ·Copying AEO tactics wholesale without accounting for how differently each AI platform selects and phrases its sources.
- ·Publishing vague, marketing-heavy copy that gives a model nothing concrete and quotable to extract.
- ·Ignoring third-party mentions entirely and assuming your own website content alone will be enough.
- ·Treating a single good citation as a permanent win rather than checking it periodically as models retrain.
How to measure GEO
Periodically prompt major AI tools with the real questions your buyers ask and record whether, and how accurately, your business is mentioned. There is no single reliable analytics dashboard for this yet, so most teams keep a simple spreadsheet log across a handful of AI platforms and update it monthly. Track this alongside referral traffic from AI tools, where available, in your web analytics, since some now appear as a distinct traffic source.
What good looks like
A good GEO outcome is a consistent, accurate mention of your business when a buyer asks an AI tool a category question relevant to what you sell, including a correct description of what you actually do. It is treated as a maintained programme, not a one-off content push, because model behaviour shifts over time. MarketJargon runs a GEO agent that tracks how your business appears across major AI tools and adjusts content to improve those mentions.
The agent that runs GEO
GEO questions, answered
Is GEO the same as AEO?
They overlap heavily. AEO is the broader term for optimising for any answer engine, while GEO specifically targets generative AI tools that synthesise a written response rather than list links. In practice, the tactics are similar.
Can I control what an AI says about my business?
Not directly, but you can influence it by publishing clear, well-supported content and encouraging accurate third-party mentions, since models draw on both when forming an answer.
How is GEO different from traditional SEO?
Traditional SEO optimises for ranking a page in a list of links. GEO optimises for being cited or summarised correctly inside a generated answer, which rewards clarity and corroboration over keyword placement.
How often should I check my GEO performance?
Monthly is reasonable for most businesses, since major AI models do not retrain constantly, but a sudden product or positioning change is worth checking sooner.
Related terms
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