What Is GEO? The Complete Beginner's Guide to Generative Engine Optimization

    By TriloAI Editorial TeamPublished Updated

    Some buyers no longer start with a search engine. They ask ChatGPT, Gemini or Perplexity directly: "What are the best XYZ companies?" Whether your brand appears in that answer decides whether you are seen at all. GEO (generative engine optimization) is the practice built for exactly this: getting AI assistants to name and recommend your brand when they answer. This guide starts from zero.

    What is GEO? A one-sentence definition

    GEO (generative engine optimization) is a set of practices for getting a brand mentioned, recommended and cited in answers from generative AI such as ChatGPT, Gemini, Perplexity and Google AI Overviews. Traditional SEO gets your website ranking in search results; GEO is about whether an AI mentions you, and links to your pages, when it writes an answer. Put simply: SEO optimizes your ranking, GEO optimizes your chances of being named and cited.

    The term comes from the research paper "GEO: Generative Engine Optimization" by Aggarwal et al., first posted in November 2023 and accepted to KDD 2024. Using their own benchmark, GEO-bench, the authors compared ways of rewriting content and found that adding citations, quotations and statistics made content more likely to be used by generative engines, while classic keyword stuffing did not help; results also varied by domain. These are findings from a research setting, not a promise that every site will see the same effect.

    One distinction worth keeping clear: GEO is the name of a practice, not of a particular product. GEO by TriloAI is a measurement tool built by TriloAI that shows how a brand appears in these AI answers; the optimization work that follows can be done in-house or by an agency with SEO and content skills.

    How is GEO different from SEO

    DimensionTraditional SEOGEO (generative engine optimization)
    What you optimizeRanking in Google / Bing resultsThe generated answer in ChatGPT / Gemini / Perplexity / Google AI Overviews
    User behaviorScans ten blue links, clicks oneGets one recommended answer naming a few brands
    What success looks likeRanking on page oneAI mentions or recommends your brand when it answers
    MetricsRank, click-through, organic trafficMention rate, recommendation rate, share of voice (SOV)
    Content focusKeywords, backlinks, page speedClear facts, citable content, authority signals, FAQs

    The key point: GEO doesn't replace SEO; it covers what SEO metrics can't see. You might rank well on Google yet be absent from ChatGPT's shortlist, because the logic an AI uses to pick an answer is not the same as search ranking.

    SEO and GEO together: the effect compounds

    Many people assume SEO and GEO are an either/or choice. The opposite is true: done together, they reinforce each other. Three reasons:

    • SEO is the foundation of GEO: AI search leans heavily on search results and high-authority pages when it writes an answer. Solid SEO (good content, clear structure, earned citations) is exactly what gives AI reasons to mention you.
    • One content asset, two places to show up: the same quality content can rank on Google and also be cited by AI as the answer. It is not double the work; you do not need a separate set of content for Google and for AI.
    • From "no idea" to measurable: SEO alone can't show your position in AI answers. Add GEO measurement and you can track visibility across five major AI platforms, competitor share of voice and cited sources month by month.

    Why brands should start paying attention to GEO now

    • The way people ask is changing: some buyers ask an AI "who should I go with" instead of comparison-shopping on a search engine. In a February 19, 2024 press release, Gartner predicted that traditional search engine volume would drop 25% by 2026. That is a forecast, not a measurement.
    • AI answers name only a handful of brands: a results page shows ten links, while an AI answer usually names just a few brands. If you are not among them, you are hard to find.
    • Traditional metrics can't see it: analytics and keyword rankings can't tell you whether AI recommends you. Without measuring, you won't know whether you are invisible in AI answers.
    • AI may be getting your facts wrong: outdated prices, discontinued products, even invented claims can be presented to your prospects as fact, and you won't notice unless you look.
    • Measure early, learn early: citable content and third-party mentions take time to build, and a baseline is what tells you later whether a change worked.

    How AI decides which brand to recommend

    No AI company publishes its full ranking logic. These are the signals that are commonly observed and broadly agreed on:

    • Citable facts about your brand on the web: clear, easy-to-extract information (services, pricing, features, location, who it is for) gets picked up far more readily than flashy marketing copy.
    • Third-party authority and mentions: media coverage, reviews, forums such as Reddit, YouTube and Wikipedia. What others say about you carries more weight than what your own site claims.
    • How easy your content is to quote: FAQs with one question and one answer, and a clear heading hierarchy, make it easier for AI to find sentences it can quote. Schema.org structured data mainly helps machines tell who you are; Google states that no special structured data is needed to appear in its AI features.
    • Whether the crawlers behind AI search can read you: ChatGPT search relies on OAI-SearchBot, Perplexity on PerplexityBot, Claude's search on Claude-SearchBot, and Google AI Overviews on the regular Googlebot. Block these in robots.txt and AI search cannot cite you (full table below).
    • Local and contextual relevance: ask for "a gym in downtown Austin" and AI picks local, relevant brands. Content should match how real customers actually ask.

    Which AI crawlers to allow in robots.txt

    AI companies run crawlers for different purposes, and only blocking the wrong ones hurts your chances of being cited. Summarized from each company's official documentation, checked on October 2, 2026 (OpenAI, Perplexity, Anthropic, Google):

    PurposeCrawlerWhat happens if you block it
    Indexing for AI searchOAI-SearchBot (ChatGPT search), PerplexityBot, Claude-SearchBot, Googlebot (Google Search and AI Overviews)AI search can't find your pages, so it can't cite them
    Fetching on a user's requestChatGPT-User, Perplexity-User, Claude-UserThe AI can't read a page a user asks about. OpenAI and Perplexity say these fetches may not follow robots.txt; Anthropic says Claude-User does
    Collecting training dataGPTBot, ClaudeBotNo effect on citations in live AI search, but your content won't be used to train future models
    Google-Extended (a control token, not a separate crawler)A token in robots.txtNo effect on Google Search or AI Overviews, but Gemini Apps and Vertex AI can't use your content for training or for grounding answers

    So to be cited in AI answers, at minimum let the search crawlers in; to be cited by Gemini, don't block Google-Extended either. As for llms.txt, it is a site guide written for AI tools, and no major AI platform has publicly said it uses the file to decide what to cite or how to rank. Google's AI features and your website page states that you don't need to create new machine-readable files or AI text files to appear in those features. It's cheap to add, but don't treat it as the key to being recommended.

    How to start GEO as a beginner: 5 steps

    1. Measure where you stand: ask a few questions yourself, or use a tool (such as GEO by TriloAI) to see whether AI recommends you today, who your rivals are and where your gaps are. Without a baseline you can't tell later whether a change worked.
    2. Make sure AI search crawlers aren't blocked: allow OAI-SearchBot, PerplexityBot, Claude-SearchBot and Googlebot, and if you want Gemini to cite you, don't block Google-Extended. An llms.txt is fine to add but not the key to being recommended.
    3. Write your site so it is easy to quote: state your services, prices, locations and who you serve in plain sentences; answer common questions one at a time; mark up Schema.org structured data so it matches what the page shows.
    4. Build third-party authority: earn media coverage, encourage genuine reviews, and get discussed on forums and YouTube. AI weighs what others say about you heavily.
    5. Re-measure and read the trend: AI answers vary from run to run, so re-ask the same questions after a while and look at the trend, not a single number.

    GEO FAQ

    What does GEO stand for?

    GEO stands for generative engine optimization, a term that comes from the 2023 research paper of the same name. It refers to getting a brand mentioned and recommended in answers from generative AI such as ChatGPT, Gemini, Perplexity and Google AI Overviews. It is the name of a practice, not of a product.

    Will GEO replace SEO?

    No, they're complementary. SEO ranks your site in traditional search; GEO gets your brand named and recommended inside AI-written answers. AI search draws heavily on search results, so good SEO is often the foundation of GEO; GEO covers the part SEO metrics can't see.

    Do small or new brands need GEO too?

    It is worth measuring once. Big brands are mentioned all over the web, so AI tends to mention them; a small brand without citable content or local third-party mentions may be missing from AI answers entirely. Measuring at least tells you which part is missing.

    How do I know whether AI recommends my brand right now?

    Use an AI brand visibility tool (such as GEO by TriloAI): it asks ChatGPT, Gemini, Perplexity, Google AI Overviews and Claude the way real customers phrase questions, measures how often your brand is mentioned and recommended, and surfaces competitors and content gaps. You can also follow the manual method and start for free.

    How long until GEO shows results?

    There is no fixed timeframe, and no one can guarantee one. Each AI platform re-crawls sites on its own schedule, competition differs by industry, and AI answers vary from run to run. Re-measure with the same questions a few weeks after a change and read the trend rather than a single number. Our own case study is one data point, not a rule.