DefinedTerm · Glossary
What is GEO (Generative Engine Optimisation)
Generative Engine Optimisation (GEO) is the practice of optimising web content to increase its visibility and citation frequency in responses generated by AI-powered search engines. The foundational paper was published in November 2023 by Aggarwal et al. (Princeton/Allen Institute, arXiv:2311.09735) and presented at KDD 2024; it demonstrated visibility improvements of up to 40% by adding statistics, external citations, and an authoritative voice.
Full definition
Generative Engine Optimisation (GEO) is the set of techniques applied to web content to increase the probability that generative search engines include and cite that content in their responses. These engines — such as Perplexity, Bing Copilot, and Google AI Mode — do not present lists of links but synthesised responses supported by sources. GEO optimises to be among those sources.
The concept was formally defined by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, and Ameet Deshpande in the paper "GEO: Generative Engine Optimization" (arXiv:2311.09735, November 2023), presented at ACM SIGKDD 2024. It is the first large-scale study of optimisation for generative engines, testing nine distinct strategies across 10,000 queries on a system equivalent to Bing Chat.
Why it matters in 2026
The Princeton paper demonstrated that adding verified statistics improves visibility in generative responses by 41%, that adding external citations to the body of a document improves visibility by up to 115% for lower-ranked content, and that adding relevant quotations from primary sources produces improvements of 28%. These results reveal that generative engines reward verifiable authority signals more strongly than traditional keyword ranking.
In 2026, with Google AI Mode available in the United States and AI Overviews deployed across more than 200 countries and 40 languages (Google Search Central), the share of searches processed by generative engines makes GEO an essential discipline for any digital visibility strategy.
How it works
- Incorporate verified statistics with an explicit source reference within the article body.
- Cite authoritative external sources (academic studies, official data) via hyperlinks.
- Add direct quotations from experts or primary documents with clear attribution.
- Write with an authoritative voice: direct assertions, precise terminology, and no ambiguity.
- Optimise text fluency and coherence to facilitate semantic extraction by the model.
- Structure content with headings that answer specific domain questions.
- Measure citation frequency in Perplexity, Bing Copilot, and Google AI Overviews using specialist tracking tools.
Difference from SEO and AEO
| Dimension | SEO | AEO | GEO |
|---|---|---|---|
| Origin of concept | Google, 1997 onwards | Emerged with voice search, 2018+ | Princeton/Allen AI paper, November 2023 |
| Target engine | Link-based engines (Google, classic Bing) | Direct-answer engines | Generative engines (Perplexity, AI Mode) |
| Predominant signal | Backlinks and domain authority | Semantic FAQPage structure | Statistics, external citations, authoritative voice |
| Measurable effect | SERP ranking position | Featured snippet / AI Overviews share | Citation frequency in generated responses |
Related terms
Answer Engine Optimisation (AEO), Google AI Overviews, Google AI Mode.
Fuentes
Términos relacionados
- aeo-answer-engine-optimization
- ai-overview
- ai-mode-google