What Is Generative Engine Optimization (GEO)?
Definition
Generative engine optimization (GEO) is the practice of shaping your content and your presence on other sites so AI engines such as ChatGPT and Google AI Overviews include your brand in their answers and cite your pages as sources. The name comes from a 2023 research paper, and in practice it means much the same as answer engine optimization (AEO).
How Searchable measures this
Searchable measures GEO by results rather than tactics: the share of your tracked prompts where each AI engine mentions your brand, how often it cites your pages, and your share of voice against competitors. Prompts run on a schedule (daily on most plans) across the engines you choose, from ChatGPT and Perplexity to Google AI Overviews and AI Mode, and each engine is reported separately.
Where the term GEO came from
The term comes from a paper titled GEO: Generative Engine Optimization, first published in November 2023 by researchers at Princeton University and the Indian Institute of Technology Delhi, and presented at the KDD 2024 conference. The authors used "generative engines" for search systems that write an answer instead of returning a list of links.
The paper tested content changes, such as adding quotations, statistics, and cited sources, and reported that the best methods could boost a page's visibility in generative engine responses by up to 40%. Keyword stuffing, a classic SEO tactic, scored below the unedited pages, and results varied by subject, so no single tactic won everywhere.
Statistics and quotations add facts that other pages may not have, which is the idea behind information gain.
Since then, GEO has moved from research into marketing, alongside answer engine optimization (AEO), LLM SEO, and AI search optimization. The labels differ, but they all describe the same work.
How GEO works
AI engines answer in one of two ways, and GEO has to cover both. Some answers come from what the model learned during training. Others come from a live web search the engine runs before it writes, a process called retrieval-augmented generation.
For answers that use live search, the engine picks a handful of pages, reads the passages that look relevant, and writes from them. Your page has to be crawlable, rank well enough to be retrieved, and contain a passage that answers the question cleanly on its own.
For answers from training data, the model repeats what the web said about you before its knowledge cutoff. That's shaped less by your own site and more by reviews, press coverage, forums, and comparison articles, which is why earned media is a large part of GEO.
GEO vs SEO vs AEO
The three overlap heavily in tactics and differ mainly in what counts as a result.
| SEO | GEO | AEO | |
|---|---|---|---|
| Main goal | Rank pages in search results | Get mentioned and cited in AI-written answers | Get mentioned and cited in AI-written answers |
| Where it shows up | Google and Bing results pages | ChatGPT, Perplexity, Gemini, Claude, Copilot, AI Overviews, AI Mode | Same as GEO |
| Main metric | Rankings, clicks, organic traffic | Mention rate, citation rate, share of voice | Same as GEO |
| Origin of the term | SEO industry, 1990s | Academic research, 2023 | SEO industry |
Our guide to answer engine optimization covers AEO in depth, and the GEO vs SEO vs AEO breakdown goes further into where the tactics overlap.
What GEO involves in practice
Most GEO work falls into three groups, and they move at different speeds:
- Pages AI engines can read and quote. Content served in the HTML rather than loaded by JavaScript, a direct answer near the top of each section, and facts that are current and specific.
- Coverage on the sites engines trust. Reviews and comparison articles that mention your brand, since AI engines often cite these over brand sites when they recommend products.
- Consistent facts about your brand. The same name, category, pricing, and description everywhere, so an engine can describe you without contradicting itself.
The first group can show results within days on engines that search the web. The second and third take longer, because they depend on other sites and on how often engines refresh what they know.
How to measure GEO
You measure GEO in the AI answers themselves. The standard method is to pick a fixed set of prompts that your buyers ask, run them through each engine on a schedule, and record which brands are mentioned and which pages are cited. That process is called prompt tracking.
Three metrics come out of it. Mention rate is the share of answers that mention you. Citation rate is the share that cite one of your pages. AI share of voice compares your mentions with your competitors'.
Measure each engine separately, because ChatGPT, Perplexity, and Google's AI features each choose sources their own way. A gain on one engine can hide a drop on another, and a blended number won't show it.
Frequently asked questions
What does GEO stand for in marketing?
In marketing and search, GEO stands for generative engine optimization: making your brand and content easy for AI engines to find and cite when they write an answer. Outside marketing, GEO can also mean geographic targeting, so check the context.
Is GEO the same as AEO?
Close enough that most teams use the terms interchangeably. GEO comes from academic research on generative engines, while answer engine optimization (AEO) grew out of the SEO industry. Both describe the same goal, which is being included and credited in AI-written answers.
Does GEO replace SEO?
No. Google AI Overviews and AI Mode draw on pages in Google's index, and ChatGPT and Perplexity run web searches before many answers, so crawlable, well-ranked pages still matter. GEO adds new goals on top: being mentioned in the answer and being cited as a source.
How long does GEO take to work?
It depends on where the answer comes from. Engines that search the web can pick up a new or updated page within days of it being crawled. Changing what a model knows from its training data takes much longer, because that only updates when the model is retrained.
Can you measure GEO in Google Analytics?
Only partly. GA4 shows visits referred by AI engines, but most AI answers are read without a click. To see whether engines mention or cite you, you need to run a fixed set of prompts through each engine and record what comes back.
Related terms
- Answer engine optimization (AEO) The practice of making your brand and content easy for AI answer engines to find and cite when they answer a question.
- AI brand mentions AI brand mentions are the times an AI engine like ChatGPT or Google AI Overviews names your brand in an answer. A mention counts whether or not the answer links to your website. That's the difference from a citation, where the engine credits a specific page as its source.
- AI citations AI citations are the links an AI engine attaches to its answer to show which web pages the information came from. Each citation credits a specific URL. A brand mention is different: the engine names a company in the text, even when it doesn't link to that company's site.
- AI share of voice AI share of voice is the percentage of all brand mentions in AI-generated answers that belong to your brand, measured across a fixed set of prompts. Each brand counts once per answer it appears in. If brands are named 200 times across your tracked answers and 50 of those mentions are yours, your share of voice is 25%.
- Earned media Earned media is coverage of your brand that other people publish without being paid, such as press articles, reviews, forum discussions, social posts, and mentions in industry roundups. It sits alongside owned media (channels you control, like your website) and paid media (advertising).
- Prompt tracking Prompt tracking is running a fixed set of buyer questions through AI engines like ChatGPT and Perplexity on a schedule, then recording which brands and sources appear in each answer and where they rank. Comparing the same prompts over time shows whether your AI visibility is rising or falling.