Generative Engine Optimisation (GEO)

Generative engine optimisation (GEO) is the practice of optimising content so that it is retrieved, understood and cited by generative AI systems, the tools that write answers rather than simply list links. These include Google AI Overviews and AI Mode, ChatGPT, Gemini, Perplexity and Copilot.

Written by Paul Hoda, SEO consultant since 2005. Last updated 8 November 2026.

GEO vs SEO

GEO is not a replacement for SEO; it builds on it. Most generative engines rely on search indexes to find sources, so pages that rank well in traditional search are much more likely to be cited. The differences are in emphasis:

  • SEO aims to rank pages and earn clicks.
  • GEO aims to have your content and brand included, quoted and recommended inside AI answers.

Success in GEO is measured by citations, mentions and the accuracy of what AI says about you, as well as by traffic.

How generative engines use content

A typical process looks like this:

  1. The AI interprets the user’s question, often breaking it into several sub-questions.
  2. It searches the web or its index for relevant passages.
  3. It selects passages that directly and credibly answer each part.
  4. It writes a combined answer, citing some sources.

Because AI systems work at the level of passages, each section of your page should make sense on its own and answer a specific question clearly.

GEO techniques that work

  • Clear definitions and direct answers: start sections with a concise, factual answer.
  • Specific, verifiable facts: numbers, dates, prices, steps and named examples are easier to quote than vague statements.
  • Original data and expert insight: unique information gives AI a reason to cite you rather than a competitor.
  • Structured content: descriptive headings, lists, tables and summaries (Header Tags (H1-H6)).
  • Topical depth: cover a subject thoroughly across interlinked pages (Topical Authority).
  • Strong entity signals: consistent brand information and Schema Markup.
  • Third-party validation: reviews, press mentions and inclusion in respected lists.
  • Freshness: keep key pages updated with current information.

What does not work

  • Stuffing content with keywords or “AI-friendly” phrases.
  • Mass-producing generic content, which offers nothing new to cite.
  • Hidden text aimed at AI crawlers, which can be treated as spam.

Measuring GEO

Test a set of real customer questions in different AI tools regularly and record whether you are cited, which pages are used and how your brand is described. Track AI referral traffic in analytics. Over time, aim to appear for more questions and with more accurate descriptions.

The bottom line

GEO rewards the same qualities that good SEO and Helpful Content always have: clarity, accuracy, originality and trust. Businesses that are genuinely the best source on their topic are best placed to win in both. For a practical playbook, see AI SEO and my guide on ranking in ChatGPT with AI SEO.

For help getting your brand cited in AI answers, see my work as an AI SEO consultant.

Key Takeaways

  • GEO aims to have your content cited in AI-generated answers.
  • It builds on SEO: well-ranked, trusted pages are cited most.
  • Write self-contained sections with direct, specific answers.
  • Original data and expert insight give AI a reason to cite you.
  • Measure GEO by testing real questions and tracking AI referrals.

Related Terms

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