Framework · Learn

Generative Engine Optimization (GEO).

The discipline of optimising for AI answers — how engines retrieve, synthesise and cite, and what to change on and off your site to win share.

TL;DR
GEO is the practice of shaping how generative engines retrieve and synthesise information about your brand. It covers content structure, entity strength, citation supply and prompt-level monitoring — measured by sampled answer visibility, not keyword rankings.

What GEO actually is

Generative Engine Optimization is the layer of marketing work that targets answers, not links. Where SEO optimises a URL for a SERP position, and AEO optimises a passage for inclusion in an answer, GEO optimises the entire brand surface that generative systems learn from — your own content, third-party reviews, listicles, structured data, and the prompts your buyers actually use.

How generative engines pick what to say

Every major engine (ChatGPT, Perplexity, Gemini, Claude) runs a similar four-stage loop:

  1. Retrieve — fetch a working set of documents from search and embedded indexes.
  2. Rerank — score documents for relevance, freshness, authority and citation-worthiness.
  3. Synthesise — compose an answer, often naming 2–5 brands.
  4. Cite — attach source URLs (always in Perplexity, increasingly in ChatGPT and Gemini).

GEO influences each stage: retrieval (indexability, entity coverage), rerank (authority signals, recency), synthesis (clear claim language, structured comparisons) and citation (earning third-party mentions).

The GEO playbook

  • Entity coverage — make sure your brand, products, founders and locations have explicit, structured presence (Wikipedia, Wikidata, Crunchbase, schema.org).
  • Comparison surface — own or be present in "best X", "X vs Y", "X alternatives" pages. These are the listicles AI engines quote.
  • Evidence-led pages — publish pages with explicit claims, numbers and citations. AI synthesisers prefer extractable facts.
  • Citation supply — get cited by trusted third parties in your category. Source influence compounds.
  • Prompt-level monitoring — sample the prompts your buyers actually use, weekly, across all four engines.

How to measure GEO

Forget keyword rankings. The right metrics are:

  • AI Visibility Score — share of sampled answers that mention you (see how it's calculated).
  • Share of Answer — your mention count vs. tracked competitors on the same prompt set.
  • Citation coverage — share of answers that cite a URL you own or influence.
  • Source Influence Score — which third-party URLs drive your visibility.

GEO vs SEO vs AEO

SEO targets a position on a results page. AEO targets a passage inside an answer. GEO is the umbrella — it owns retrieval, rerank, synthesis and citation across every generative surface. In practice you do all three, but the strategy, success metric and reporting cadence are different.

Is GEO the same as AEO?+
Overlapping but not identical. AEO (Answer Engine Optimization) focuses on getting cited inside answers. GEO (Generative Engine Optimization) is broader — it covers the full surface of generative search: answer inclusion, source citation, recommendation framing, and brand-entity strength across the underlying retrieval corpus.
Does GEO replace SEO?+
No. SEO still drives the source pool generative engines retrieve from. GEO sits on top: it tunes how that authority gets surfaced inside AI answers and citations. The teams winning in 2026 run both, with shared keyword and entity strategy.
What's the single highest-leverage GEO tactic?+
Owning the comparison and listicle pages for your category. Generative engines disproportionately quote third-party 'best X' and 'X vs Y' pages, so earning placements (or publishing your own evidence-led ones) compounds across thousands of downstream answers.