AEO & GEO Guide

What Is Generative Engine Optimization (GEO)?

A plain-English definition of the term everyone's suddenly using — and how it fits alongside AEO and SEO.

Quick answer

Generative Engine Optimization (GEO) is the practice of optimising a brand's online presence so it is accurately represented, referenced and recommended by generative AI systems — chatbots, AI search assistants and AI-generated summaries — across the full range of ways they can mention a business, not just one specific answer format.

The definition, unpacked

"Generative engine" refers to any AI system that generates an original response rather than returning a list of links — ChatGPT, Google's AI Overviews and Gemini, Perplexity, Copilot. "Optimization" here means the same thing it always has in search marketing: deliberately shaping your content and signals to be favoured by the system's selection process, rather than leaving it to chance.

Where GEO differs from traditional SEO is the object being optimised for. SEO optimises for algorithmic ranking of a link. GEO optimises for being represented inside a generated response — which might be a direct citation, a paraphrased mention, or simply being the source the AI's underlying knowledge draws on when it forms an opinion about who's good in your category.

Where GEO sits next to AEO and SEO

In practice, most teams — including ours — treat AEO as the applied, answer-specific subset of the broader GEO discipline. If GEO is "be well represented across generative AI," AEO is "get cited as the specific answer to this specific question." SEO remains the traditional-search layer underneath both. We build all three as one connected strategy rather than three separate budgets, because they share the same technical and content foundations.

Key takeaway

Don't get stuck on the terminology. Whether a project is labelled AEO or GEO, the underlying work — entity clarity, answer-first content, structured data, corroboration — is the same. The label matters less than doing the work while most competitors still aren't.

Why the term appeared now

GEO became a widely used term as AI-generated answers started meaningfully diverting search traffic away from traditional results pages — roughly from 2023 onward, accelerating through 2025 and 2026 as AI Overviews and AI search assistants became a default part of how people search. Marketers needed a name for "the SEO-equivalent discipline, but for AI," and GEO stuck, alongside the more answer-specific AEO.

Is this a passing trend?

The specific term might evolve, but the underlying shift — AI systems increasingly mediating how people discover businesses — is not a trend that reverses. Treating GEO as a permanent, foundational part of a digital strategy, rather than a fad to dabble in, is the more defensible bet for any business planning more than a year ahead.

Digitaliate Team
We've built GEO into client strategies since the term started gaining traction — this is the definition we actually work from.

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FAQ

Common questions

Generative Engine Optimization entered wider use following academic and industry research into how generative AI systems select and cite sources, and it was popularised as marketers began adapting SEO practices for AI-driven answer generation from around 2023 onward.

They overlap heavily and are often used interchangeably. AEO is typically framed around getting cited in a specific answer to a specific question, while GEO is the broader discipline of being well represented across generative AI systems as a whole.

Not entirely different — GEO content still needs to be well-researched and genuinely useful. What changes is the framing: content is structured to be easily extracted and quoted, with clear entity attribution, rather than written purely to satisfy a ranking algorithm.

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