What Is GEO (Generative Engine Optimization)? A Practical Guide

SEO aims to put your page in a list of results. GEO aims to make your content part of the answer the AI writes.

You'll also hear it called "GEO SEO," "AI SEO," or "LLM SEO." They're different labels for the same job. This guide covers where the term came from, how these engines pick their sources, what's classic SEO and what's genuinely new, and what to do this week.

Where the term GEO comes from

The name comes from an academic paper: GEO: Generative Engine Optimization, by Pranjal Aggarwal and five co-authors. It was published in November 2023 and accepted at KDD 2024¹.

The authors built a benchmark called GEO-bench with 10,000 queries and measured how much of each source made it into the generated answer. Their most quoted findings:

• Some content changes boosted a source's visibility in generative engine responses by up to 40%.
• The methods that worked best were adding quotations, adding statistics, and citing sources.
• Keyword stuffing actually performed worse than doing nothing.

This was a lab experiment with a generative engine the authors built themselves, not ChatGPT or Google as they work today. Still, the core idea holds up: AI engines favor content that is specific, verifiable, and easy to quote, not text written for a keyword algorithm.

Why it matters now

More and more searches end in an AI-written answer instead of a list of ten blue links. A few recent official numbers from Google:

• Google's AI Mode passed 1 billion monthly active users, according to Alphabet's Q2 2026 earnings remarks².
• The Gemini app reached 1 billion users, and AI Mode queries are on average three times longer than traditional searches, according to the Q3 2026 remarks³.

Longer queries are more specific queries: "which marketing agencies in Austin work with dental clinics and publish case studies?" There's no results page to scroll for that question. There's one answer, and your brand is either in it or it isn't.

How generative engines choose their sources

Nobody outside these companies knows exactly how each model weighs its sources, and anyone who says otherwise is guessing. What is documented is the general process:

1. Retrieval. When a question needs it, the engine searches a web index (Google's, Bing's, or its own) and pulls relevant pages. Google calls this grounding, or RAG (retrieval-augmented generation), in its official guide to generative AI features in Search⁴.
2. Query fan-out. The model runs several related searches at once to cover the question from different angles. That's why a page can be cited for a question that doesn't contain its exact words.
3. Synthesis. The model reads the retrieved passages, writes the answer, and links some of the sources.
4. Model memory. The model also "knows" things from training. If your brand shows up often, and in good company, across the web, it's more likely to be mentioned even without a live search.

Each engine has its own crawler and index. ChatGPT uses its OAI-SearchBot crawler for search, Copilot relies on Bing, Perplexity uses PerplexityBot, and AI Overviews and AI Mode use Google's regular index. Block one of those crawlers and that engine can't read you. Our guide to AI crawlers and robots.txt goes through each one.

GEO and SEO: what stays and what changes

Google is blunt about it in its guide: from Google Search's point of view, optimizing for AI search is still SEO, because its AI features are built on its core ranking systems. That's true for Google. But the day-to-day work does change:

For the full comparison, including AEO, see GEO vs SEO.

What to do: the GEO basics

There are no tricks here. It's solid content and solid technical work, built so a machine can pull out an answer and credit it to you.

1. Make sure you can be read. Check that your robots.txt doesn't block AI search crawlers, that your pages get indexed, and that key content is in the HTML rather than loaded only by JavaScript.

2. Lead with the direct answer. Open every page with the answer in one or two sentences, then expand. Just like the top of this guide.

3. Use specific, sourced facts. Numbers, dates, prices, names, and links to the original source. That's what the GEO paper found most useful, and it's what an AI can quote without making things up.

4. Use a clear structure. Headings that are real questions, lists, tables, and an FAQ section. Google says you don't need to "chunk" content for AI; organizing it well for people is enough.

5. Say something others don't. Google asks for "non-commodity" content: first-hand experience, case studies, data only you have. If your page says what a hundred others say, the AI has no reason to cite you in particular.

6. Get mentioned off your site. Generative engines also read reviews, forums, press, and comparison pages. Being talked about on trusted sites matters. Buying fake mentions doesn't, and Google calls that out specifically as something that won't help.

7. Measure it. There's no "position one" in an AI answer. You ask the engines a fixed set of questions, repeat, and watch trends. We explain how in how to measure AI visibility.

What GEO isn't

• It isn't a magic file. Neither llms.txt nor any special tag gets you into AI answers. Google says its Search ignores llms.txt. More in our llms.txt guide.
• It isn't writing for robots. Google advises against rewriting content just for AI. Content that's clear for people is what gets cited.
• It isn't guaranteed. Answers vary by question, user, and day. GEO improves your odds; it doesn't lock in a position.

Where to start this week

1. Write down 10 questions your customers would ask ChatGPT before buying from you.
2. Ask them in ChatGPT, Perplexity, and Gemini. Note whether your brand shows up, whether competitors do, and which sources get cited.
3. Check your robots.txt and confirm you're not blocking OAI-SearchBot, PerplexityBot, or Googlebot.
4. Pick your most important page and rewrite its first paragraph as a direct answer, with one fact and its source.
5. Ask the same questions again in a month.

Want a quick read on what a page is missing? Run it through our free GEO audit.

Learning GEO step by step

This guide is the starting point. In the GEO Plus Academy course we go deeper with short video lessons and a hands-on task in each one: how models choose sources, how to write citable content, the technical side, off-site authority, and how to measure GEO and sell it to clients. The first two lessons are free if you'd like to try before you subscribe.