What is Generative Engine Optimization (GEO)?

GEO is the practice of optimizing your brand and content to be cited in AI-generated answers from ChatGPT, Gemini, Perplexity and Google AI Overviews.

·1 min read·geoai-visibility

Definition

Generative Engine Optimization (GEO) is the practice of optimizing a brand's content, structure and entity signals so that AI answer engines (ChatGPT, Gemini, Perplexity, Google AI Overviews) mention and cite it in their generated answers.

Why it matters

A growing share of buying research now happens inside AI chat interfaces instead of classic search result pages. If AI engines don't know your brand, you are invisible to those buyers.

How GEO differs from SEO

  • SEO targets ranked lists of links; GEO targets being the answer.
  • GEO relies heavily on structured data, consistent entity signals and content that is easy for models to quote.
  • Citations, comparisons and statistics dramatically increase the odds of being referenced.

Core GEO tactics

  1. Publish clear, well-structured, citable content (definitions, comparisons, data).
  2. Use schema.org structured data and an llms.txt file.
  3. Build consistent brand mentions across authoritative sources.
  4. Monitor your share of voice in AI answers and iterate.

Frequently asked questions

Is GEO replacing SEO?

No. GEO builds on SEO. AI engines are trained on and retrieve from the open web, so strong classic SEO remains the foundation.

How do I measure GEO?

By tracking how often, and how favorably, AI engines mention or cite your brand for your target prompts: your AI share of voice.

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