What is Generative Engine Optimisation (GEO)?

GEO came from research, not marketing. The label was introduced in a November 2023 paper, “GEO: Generative Engine Optimization”, by Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande, with authors from Princeton University, the Allen Institute for AI, Georgia Tech and IIT Delhi, later presented at ACM SIGKDD 2024. The paper named the field, built a benchmark of 10,000 queries, and measured which content strategies actually lift visibility in AI answers. It was popularised among marketers by an Andreessen Horowitz thesis in May 2025, but the term itself is academic and predates the marketing hype by about 18 months.

The research proved that specific, sourced, quotable content wins. The study tested nine content changes and found the strongest levers were adding relevant statistics, quoting credible sources and citing your references, together lifting a page’s visibility in AI answers by up to about 40%. Two patterns stand out.

• Specific, sourced, quotable content wins. Generative engines reward pages that are concrete and verifiable over vague, unsourced claims. Keyword tricks had little to no effect.
• Smaller brands gain the most. The biggest lifts went to pages that were not already ranking highly, so a focused, well-structured, well-sourced page can outperform a bigger rival that has not adapted.

Yes, and the evidence is now broad rather than anecdotal. The foundational Princeton study established that how you structure and frame content measurably changes how engines use it, by up to about 40%. Industry data since then points the same way. One analysis of AI Overview citations found that 85% came from content published in the last two years, and 44% from the most recent year alone (Seer Interactive, June 2025). A separate study found pages updated within the past three months earned roughly 67% more AI citations than older equivalents (SE Ranking, November 2025). And the position pays off commercially: brands cited inside an AI Overview earned about 35% higher organic click-through than uncited brands on the same queries (Seer Interactive, September 2025).

GEO matters now because the AI answer is increasingly the only impression a buyer gets. When most research ends inside a generated answer, the engine’s description of you does the work your homepage used to. If that description is vague, outdated or quietly flattering to a competitor, you lose ground before a human evaluates you, and you never see it happen. The scale of the shift is no longer in doubt.

68% of US Google searches ended without a click in early 2026 (SparkToro with Similarweb), and AI summaries now appear on roughly half of searches, a share McKinsey expects to pass 75% by 2028.

When an AI Overview is present, the top organic result loses about 58% of its clicks (Ahrefs), so a strong ranking no longer guarantees a visit. There is also a clear first-mover edge: more than 92% of marketers say they plan to use, or already use, optimisation for traditional and AI search (HubSpot, 2026), yet few are working at the narrative level. The brands shaping their narrative today will define how their whole category gets described tomorrow. We make the full business case in why GEO matters.

AEO decides whether you appear; GEO decides how you are described once you do. They overlap heavily and share the same fundamentals, and we cover the first half in answer engine optimisation explained.

AEO is about being quoted. GEO is about what they say when they quote you. Do AEO first so you appear, then GEO so you appear the way you want.

SEO earns a rank in a list of links and is measured by clicks; GEO earns a place inside the AI answer and shapes how you are described there, measured by citations. They share foundations, a fast, crawlable, authoritative site, but they win on different surfaces, and most brands now need both. We set the two side by side in full in GEO vs SEO.

In practice, GEO means giving the engine the raw material to tell your story well, and the structure to tell it your way.

• Frame your strengths explicitly. State what makes you different in plain, quotable sentences, so the model has a clear line to lift rather than inferring one.
• Control the comparison. Where you are measured against rivals, publish the honest, specific contrasts you want surfaced.
• Keep it current. Models lean hard on recent content, so a regular refresh is a direct input to whether you are cited at all.
• Use consistent language about yourself. If you describe your category and your role the same way everywhere, the model learns that framing.
• Shape the context, not just the claim. Surround a key fact with the supporting detail that makes the model present it the way you intend.

One lever sits off your own site and is easy to underrate: earned media drives the large majority of AI citations (Muck Rack, 2026), so being talked about credibly elsewhere is part of the work too. For the full, step-by-step method, see how to do GEO.