Web & SEO

What is generative engine optimization (GEO)?

Generative engine optimization (GEO) is the practice of shaping content so that AI assistants and AI-powered search surfaces cite it when answering questions.

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Technical definition

GEO targets a different outcome from classic SEO. Traditional SEO competes for a ranked position on a results page. GEO competes to be the source a generated answer draws from and attributes, whether in an AI Overview, a chat assistant, or an AI search product.

The practices that appear to help are structural: clear question-and-answer formatting, self-contained passages that make sense without surrounding context, explicit definitions near the top of a page, original data and named sources, and consistent factual claims across a site. The field is young and the evidence base is still thin, so treat specific tactics as working hypotheses.

In plain terms

SEO is about being the link someone clicks. GEO is about being the source the AI quotes when nobody clicks at all.

The same content can do both, but it has to be written so a machine can lift a clean paragraph out of it and have that paragraph still make sense.

Why it matters

A growing share of questions now get answered without a visit to any website. For a business that depended on informational search traffic, that is a direct loss. Being the cited source is the remaining form of visibility.

What this means in practice is less exotic than the acronym suggests. Answer the question in the first paragraph rather than after four paragraphs of preamble. Define terms plainly. Keep facts consistent across your site, since contradictions make a source less quotable. Publish things only you can publish, such as your own pricing, your own data, or your own process, because that is what a model cannot synthesize from elsewhere.