Generative Engine Optimization (GEO): Definition
Generative engine optimization (GEO) is the practice of making a brand, product or page more likely to be retrieved, cited and recommended in answers written by AI systems such as ChatGPT, Perplexity, Gemini and Google AI Overviews. Where SEO competes for a position in a list of links, GEO competes to be one of the few sources an AI answer draws on.
Also called: GEO, generative search optimization, LLM SEO, AI search optimizationUpdated
Origin: the 2023 GEO research paper
The name comes from a research paper, "GEO: Generative Engine Optimization" by Pranjal Aggarwal and colleagues, first published in November 2023 and presented at KDD 2024. The authors tested how changes to a page's content affected its visibility in answers from generative search engines, and found that methods such as citing sources, adding quotations and adding statistics could raise visibility by up to 40% in their benchmark.
Marketers adopted the term quickly. You will also see AI search optimization, LLM SEO and answer engine optimization (AEO) used for overlapping work.
How GEO works
AI assistants that search the web retrieve a handful of pages, then write an answer from them. GEO improves your odds at each step:
- Be retrievable. The search agents AI tools use to fetch pages are allowed in robots.txt (OAI-SearchBot and ChatGPT-User for ChatGPT, Claude-SearchBot and Claude-User for Claude, PerplexityBot for Perplexity), your pages are indexed by Google and Bing, and important content is in the HTML rather than hidden behind scripts. Training crawlers such as GPTBot and ClaudeBot are a separate decision about model training.
- Be describable. Your name, category, audience, features and price are stated plainly and consistently, with tables, definitions and FAQs a model can lift.
- Be cited by others. Comparison articles, reviews, Reddit threads, GitHub and directories that mention you give AI engines independent sources to draw on. This is usually the biggest lever, and the slowest.
Where GEO sits next to SEO
GEO is built on SEO, not a replacement for it: Google says pages need no special optimization to appear in AI Overviews, only to be indexed and eligible for a snippet. Progress is usually tracked as the share of a fixed set of buyer prompts whose AI answers mention you, which is what GEO tools and trackers automate. For the full comparison with SEO and a measurement plan, read what GEO is and how it differs from SEO.
Illustrative examples
Hypothetical scenarios that show how the term applies. They are not reports of real cases.
- A project management SaaS appears in an AI answer to "best project tool for small agencies" because two comparison articles and a Reddit thread that mention it are among the cited sources.
- A developer tool adds a pricing table and a short FAQ to its pricing page, and AI answers start quoting its plans correctly instead of guessing.
- A startup finds an old wildcard rule in its robots.txt was blocking OAI-SearchBot, removes it, and ChatGPT search can fetch and cite its pages again.
Frequently asked questions
Is GEO replacing SEO?
No. AI answers that search the web still depend on pages being crawled, indexed and trusted, which is SEO work. GEO adds a focus on being cited inside answers and on what other sites say about you.
Can anyone guarantee results from GEO?
No. AI answers vary with prompt wording, location and model updates. GEO improves the signals AI systems rely on and measures the change; it cannot control what a model says.
What is the difference between GEO and AEO?
AEO is older and focuses on being the direct answer in features such as featured snippets, People Also Ask and voice assistants. GEO focuses on generative AI answers. In practice the two overlap and many people use them interchangeably.
Go deeper
GEO & AI Search
How to Get Your Product Recommended by ChatGPT (and Rank in ChatGPT Search)
GEO & AI Search
How to Appear in Google AI Overviews: What Actually Works
GEO & AI Search
What Is GEO (Generative Engine Optimization)? GEO vs SEO Explained
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