# What is generative engine optimization (GEO)? Source: https://outname.now/guides/generative-engine-optimization Updated: 2026-10-07 By: Outnamed (https://outname.now) Generative engine optimization (GEO) is the work of making your company more likely to be named or cited in answers written by AI assistants such as ChatGPT, Claude, Gemini and Perplexity. It overlaps with SEO, but it is measured differently, because an assistant rarely gives the same answer twice. No one can guarantee a mention. ## Key points - GEO aims at a mention or citation inside an AI-written answer, not a position in a list of links. - GEO, AEO and LLM SEO have no standard definitions, so check what anyone selling them actually does. - Measure GEO by asking each buying question many times across assistants and counting how often you are named. - The core work is public: accurate answer pages on your own site and a healthy record on review and community sites. - No one knows how long GEO takes or what any assistant will do next, and anyone who promises a mention is guessing. ## What does generative engine optimization mean? Generative engine optimization is the practice of shaping the public information about your company so that AI assistants are more likely to name it, or cite one of your pages, when someone asks a relevant question. A generative engine is any system that writes an answer in sentences instead of listing links. ChatGPT, Claude, Gemini, Perplexity and Microsoft Copilot are examples, and so are the AI answers inside Google and Bing. The goal differs from classic SEO. You are not chasing a position on a results page. You are trying to appear inside an answer, often as one name in a short list of recommendations. That is not something you can order or buy. You can only make it more or less likely. ## How is GEO different from SEO, AEO and LLM SEO? These terms are used loosely. SEO, search engine optimization, means improving how your pages rank in search results. AEO, answer engine optimization, usually means aiming to be the direct answer to a question. LLM SEO and ChatGPT SEO describe much the same idea from the angle of the language model or one product. None of them has an official definition. In practice the overlap is large. Your pages still need to be clear, accurate and easy to find. The difference is in what you count as success and how you check it, as the table shows. If a provider uses one of these terms, ask what they will actually do and how they will measure it. **Classic SEO compared with generative engine optimization** | Question | Classic SEO | GEO | | --- | --- | --- | | What are you aiming for? | A high position and a click from a results page | A mention or citation inside a written answer | | How stable is the result? | A single search shows you a results page | The answer can differ every time it is asked | | How do you check it? | Rank tracking and click data | Ask each question many times across assistants and count mentions | | Where does the work happen? | Your own site and links to it | Your own site plus reviews and community discussion | ## Why are companies paying attention to GEO? Buyers are using assistants to build shortlists. In the G2 Buyer Behavior Report, June 2026, which surveyed 1,000+ software buyers, 8 in 10 software buyers used an AI chatbot to find recommendations in the last two years. The same G2 report says 37% say chatbots shape their shortlist most, level with review sites at 38%. The traffic can be small but valuable. Ahrefs reported that, in its own traffic over 30 days, visitors from AI search were 0.5% of traffic and 12.1% of sign-ups. That is one company's numbers over one month, not a rule. Check your own analytics before drawing a conclusion, and note that the G2 figures cover software buyers only. ## What does GEO work involve? Most of it is ordinary, careful publishing plus checking. These are the steps, in order. 1. List the buying questions your customers ask, such as best tool for a task, your company versus an alternative, or whether a type of product is worth it. 2. Ask those questions in several assistants, more than once, and write down who is named each time. 3. Look at the sources the assistants show, where they show them, to see which public pages the answers rely on. Not every assistant shows sources. 4. Write one answer page on your own site per question, using your own facts: what you do, who it suits, who it does not suit, and figures you can stand behind. 5. Look after the outside record. Reviews on Google reviews, Yelp, Trustpilot, G2 and Capterra, and discussions on Reddit, are public and may be read by assistants with web search. Never fake them. 6. Repeat the measurement on a schedule and update the pages when your facts or the answers change. ## How do you measure GEO? A single screenshot proves nothing. Ask the same question twice and an assistant will often give two different lists. A usable measurement asks each question many times, across several assistants, and counts how often you appear. Here is an example with made-up numbers. Your company is asked about in 30 answers to one buying question and is named in 6 of them. Competitor B is named in 18. Next month you are named in 9. The change is small, so you would keep measuring before reading much into it. The point is that you now have a count to compare, not an impression. Outnamed does this measurement. It asks each buying question thirty times across ChatGPT, Claude, Gemini and Perplexity through their official programming interfaces with web search on, and counts who is named. What a person sees in a chat app can differ from what an interface returns, so treat any count as an estimate. ## What is still unknown about GEO? A lot. Each assistant chooses what to say in ways that are not public, and the methods differ between assistants and change when models or search features are updated. Nobody outside the companies can give you a reliable list of ranking factors. That is why promises should make you suspicious. No agency, tool or guide can tell you that you will be named, in which position, or by which date. What you can do is publish accurate pages, keep your outside record healthy, and measure honestly. Outnamed offers a free scan: you enter your website and email, and in about a minute you see what customers say about you in public reviews, how you compare with competitors and what to fix first. - How each assistant picks and weighs sources is not public. - Behavior changes over time, so a result today may not hold next quarter. - How long changes take to show is not known and varies by assistant. - Whether a given page will be cited cannot be predicted. ## Questions people also ask ### Is GEO replacing SEO? Nothing in the figures above says so. Buyers use assistants alongside review sites, and the G2 report shows chatbots and review sites level as the biggest influence on shortlists. Treat GEO as an addition to clear, findable pages, not a swap. ### Can GEO guarantee that ChatGPT or Gemini names my company? No. The assistants decide what to say, and the way they decide is not public and changes. GEO can make a mention more likely. Anyone who guarantees one is promising something they do not control. ### How long does GEO take to work? Nobody knows. It depends on the assistant, the question, how competitive your market is and what the assistants are doing that month. The reliable approach is to measure before you start and again on a regular schedule. ### Does GEO work for local businesses? The same logic applies. Assistants with web search can read public reviews and your own site, so accurate pages and a good record on Google reviews and Yelp matter. The figures in this guide cover software buyers, so they do not show how local customers behave. ### Which assistants should I check? Start with ChatGPT, Claude, Gemini and Perplexity, and add Microsoft Copilot if your buyers use Microsoft products. They give different answers to the same question, so checking only one can mislead you. ### Do I need a special tool to start with GEO? No. You can list your buying questions, ask them repeatedly in each assistant and keep a simple count by hand. A tool saves time once you have many questions or want monthly comparisons. Sources for the figures on this page: G2 Buyer Behavior Report, June 2026 (1,000+ software buyers); Ahrefs, own traffic over 30 days. These are their figures, not a forecast for your company.