GEO: what it is and how it differs from classic SEO

A simple definition

GEO (Generative Engine Optimization) covers the set of practices that make content citable by generative engines: ChatGPT, Perplexity, Copilot, Google's AI Overviews. The term itself is recent, popularised in 2024, but the underlying logic is not: these systems don't rank pages, they extract passages to build a synthetic answer.

A site that ranks well on Google is not automatically cited by ChatGPT. The two systems don't evaluate the same signal.

How a generative engine picks a passage

These tools work through retrieval augmented generation: they identify the most relevant passages in their index for a query, then synthesise them into an answer. A passage is more likely to be picked if it meets several conditions.

• It answers a precise question directly, with no detour
• It is autonomous, understandable outside the context of the page
• It contains a factual data point, a definition, or a verifiable figure
• It comes from a source considered reliable on the topic

What GEO is not

GEO doesn't replace SEO. Building only for generative engines, while ignoring classic ranking, means cutting yourself off from a share of traffic that is still the majority. It's not a manipulation technique either: generative engines penalise content that reads as written for them rather than for a reader, definition-stuffing and artificial structures included.

How to know if it's working

Unlike classic SEO, there isn't yet a mature equivalent of Search Console for measuring citations in ChatGPT or Perplexity. Tracking remains largely manual: repeated test queries in the interfaces, monitoring brand mentions, and cross-referencing server logs to spot AI crawlers (GPTBot, PerplexityBot, ClaudeBot). It's rudimentary, but it's the state of the art in 2026.

Where to actually start

A GEO audit always starts with the same question: if a generative engine had to cite a single sentence from this page, which one would it pick, and would it be accurate? That's the diagnostic I run as a GEO consultant: identifying pages with citation potential and those structurally denied it.

For a first diagnostic, my SEO diagnostic & comparison tool evaluates a page's GEO signals, including llms.txt and citable passages.

For the concrete writing techniques behind citability, see GEO: what makes content citable by generative engines.

To go further: the schema.org specification for structured data, and Google's documentation on AI search features.