Glossary › Search and marketing
generative search engine optimization (GEO)
in English: Generative Engine Optimization
A content creation practice aimed at having AI-based search engines and chatbots quote, mention, or recommend your site in their responses.
In plain terms
If you ask ChatGPT, Gemini or Google Search something today, you often get not just a list of links but a ready-made, fully written answer. Generative engine optimization deals with how a company, a product or an expert can get included in that answer.
Imagine that a traditional search engine is a librarian pointing to the shelf: you find the good books there. An AI search engine is more like a well-read friend who summarizes what they know and at most mentions who they heard it from. The goal of GEO is for this friend to cite you.
Classic search engine optimization (SEO) fights for a position on the results list, while GEO aims to get your text included in the answer. Here, the click is not the main metric, but whether the machine mentions or quotes you, and exactly what it says about you.
How it works
- An AI search engine often breaks your question into sub-questions and searches the web for fresh sources; if it does not search, it relies solely on its trained knowledge.
- It highlights short text excerpts from found pages, so content where a single paragraph is understandable and precise on its own performs well.
- The language model formulates the answer from these details. Research shows it is more likely to cite sources that provide concrete data, numbers, definitions, or expert quotes; keyword stacking does not help.
- Content creators adapt to this: they create clear structures, unambiguous statements, source citations, and machine-readable pages, while also ensuring that other reliable sites mention them.
- Finally, it regularly checks whether its name appears in AI answers to important questions, and if so, in what context.
An everyday example
You ask a chatbot which accounting software is good for a small business, and it names three products with brief reasoning. Which three are selected depends partly on which manufacturer's content the machine found understandable, reliable, and citable. This is what GEO works on.
Who is affected
A common misconception
Limits and risks
- The result is hard to measure because the machine may give a slightly different answer to the same question each time, and providers rarely share statistics.
- What works for one AI search engine may not work for another, and a model update can make previous results disappear.
- The method can also be abused: deceptive or hidden text intended for the machine can distort responses, so do not accept AI recommendations without verification.
- The market is full of exaggerated promises, so be cautious with providers that guarantee top rankings in AI responses.
Similar, but not the same
- search engine optimization (SEO) – SEO works to rank among search result links; GEO aims to appear within the text of an AI-generated answer.
- answer engine optimization (AEO) – AEO originally targeted short, direct answers (featured snippets, voice assistants), while GEO targets complex responses from language models compiled from multiple sources; the two terms are now often used synonymously.
- paid search advertisement – In advertising, you pay for exposure; in GEO, you rely on the quality and recognition of your content to get the machine to reference you on its own.
Related concepts
search engine optimization, digital marketing, tartalommarketing
AI visibility measurement, structured data, llms.txt
answer engine optimization, AI-based search, AI summary, retrieval-augmented generation, large language model
A brief history
The term was introduced in a research paper published in November 2023 (Aggarwal and colleagues: 'GEO: Generative Engine Optimization'), which examined how to increase a website's visibility in AI-generated answers. The study was also presented at the KDD conference in 2024.
Where things stand
By the end of 2026, GEO has become an independent service in the marketing market, with its own measurement tools and consultants. However, it lacks a unified methodology and reliable measurement standard, and the industry is also debating how much more it is than good SEO.
In the news
- Hungarian trade sources: GEO largely builds on SEO, with takeaways from a Vienna conferenceNov 5, 2026 · Marketing
- Google says technical SEO remains key for AI search optimization, and GEO is still SEONov 2, 2026 · Marketing
- Perplexity blocks Time's ads aimed at AI agents, calling them deceptiveNov 2, 2026 · Marketing
- New GEO and AI visibility tools launch: OptimizeGEO, Keytomic, Heading, Yext–Flamel.aiNov 2, 2026 · Marketing
- AI visibility market grows: Coty–Brandlight, Marketbridge acquisition, Joveo and GEO start-upsOct 26, 2026 · Marketing
- 2027 B2B marketing budgets need a line for GEO/AEO, planning guides sayOct 26, 2026 · Marketing
- Hungarian agencies and providers prepare the market for AI answers with GEO training and explainersOct 26, 2026 · Marketing
- F&N Group picks Addlly AI as generative engine optimization partner in Singapore, Malaysia and VietnamOct 19, 2026 · Marketing
Also known as
GEO · Generative Engine Optimization · generative engine optimization · AI search engine optimization · AI search optimization · AI SEO · LLMO · Answer Engine Optimization (AEO)
Sources
- Aggarwal et al.: GEO: Generative Engine Optimization (arXiv, 2023)
- Wikipedia: Generative engine optimization
This entry was machine-edited and has undergone machine expert review; the “In the news” section updates automatically from Agent Age stories.