What is GEO?

What does GEO mean?

GEO is short for Generative Engine Optimization. A "generative engine" is a search engine that does not return a list of links but writes an answer itself: ChatGPT with search, Google AI Overviews and Google AI Mode, Perplexity, Gemini and Copilot. Optimizing for those systems means making sure your business, product or page ends up in that written answer, as a recommendation or as a source.

The term comes from academia. Researchers from Princeton University and IIT Delhi, among others, introduced it in 2023 and published the study in 2024 at KDD, one of the leading conferences on data science. [1]

Other meanings of geo. In marketing, "geo" also means geographic: geotargeting (showing ads based on location) and geomarketing (market analysis by area). If that is the meaning you are after, this is not the right page. This page is about GEO as visibility in AI answers. Related terms such as AEO, LLMO and AI visibility are in the glossary.

How does GEO work?

GEO works because AI search engines build their answer on pages they retrieve at that moment. The language model does not invent the answer from nothing: it first searches an index, picks a handful of relevant passages and summarizes them. Whoever is in that selection gets mentioned or linked as a source.

Three things decide whether your page makes that selection:

• Findable and readable. For Google AI Overviews and AI Mode your page simply needs to be indexed and eligible to show a snippet. [2] Crawlers from OpenAI, Anthropic and Perplexity do not execute JavaScript: text that is only built in the browser is invisible to them. [7] See how the technical scan checks this.
• A passage that answers the question. An AI cites a piece of text, not a whole website. Pages that introduce the topic in the first 100 words show up more than twice as often in the top 10 of AI citations (22.1 versus 8.7 percent). [6]
• Trust. AI systems lean on sources that come across as reliable: a clear author, supported claims and mentions on other sites. Google's own guidelines ask for exactly those signals: who wrote it, how it was made and why. [3]

In the US this is very concrete: AI Overviews appear above a large share of search results, Google AI Mode is available to everyone, and ChatGPT now also shows ads (see advertising in ChatGPT).

GEO vs SEO vs AEO: what is the difference?

SEO, AEO and GEO are not competing strategies but three layers of the same craft. They differ in where you appear and how you measure success.

What is GEO in SEO? Within SEO, GEO is the part that focuses on AI answers instead of the blue links. That is why it is also called "GEO SEO" or "AI SEO". The main difference is in the outcome: with SEO you want someone to click, with GEO you want the AI to give your name, even when nobody clicks.

AEO is the older in-between form: optimizing for the featured snippet at the top of Google and for voice assistants. The question-and-answer structure that works there works for GEO too. LLMO (Large Language Model Optimization) is often used as a synonym for GEO.

Do you have to choose? No. Start with the SEO basics (indexing, speed, clear pages), build question-and-answer pages on top and then measure whether AI mentions you. GEO without an SEO foundation is building on sand.

What demonstrably works for GEO?

A lot is claimed about GEO. These are the findings with the strongest support.

• Adding sources, quotes and numbers. In the original GEO study, with a benchmark of 10,000 search queries, exactly these three changes increased the visibility of a source in AI answers the most: up to 40 percent. In a test on Perplexity it was up to 37 percent. Repeating keywords (keyword stuffing) barely helped. [1]
• Clear summaries and a question-and-answer structure. Semrush compared 304,805 URLs that AI systems cited with pages that were not cited. Clarity and summaries were associated with more citations by 32.8 percent, visible expertise by 30.6 percent, a question-and-answer format by 25.5 percent and a clear section structure by 22.9 percent. [5]
• Covering the topic broadly and early. Pages with broad coverage of the topic appeared twice as often in the top 10 of AI citations (27.6 versus 14.5 percent). [6]
• Ranking well in Google. In a sample across 31 topics, 98.9 percent of pages in positions 1 to 3 were also cited by AI, against 49.3 percent of pages outside the top 10. [6] A strong SEO position is still the best predictor.

What is not proven (yet): according to Google no special files, markup or schema are needed to appear in AI Overviews. [2] Structured data stays useful for rich results and to make your details unambiguous, and an llms.txt file is cheap, but for neither has a direct effect on AI citations been shown. See them as maintenance, not as a lever.

Be careful with correlation studies: they show what cited pages have in common, not that one change makes the difference. That is why measuring on your own questions matters so much.

Where do you start with GEO?

GEO is a steady rhythm of measuring, improving and measuring again. It revolves around the questions your customers ask AI. Start with these five things:

1. Define your questions. Not just keywords but full questions: "which accountant in Austin works with freelancers?" How to choose them is in which prompts to track.
2. Measure your baseline. Test per question whether AI mentions you and who it does mention. A prompt tracker does that every day, so flukes average out.
3. Make your site readable for AI. Indexing, no blocks for AI crawlers, text in the HTML and not only through JavaScript. The technical GEO checklist walks through it.
4. Write answer pages. For each important question a page that answers in the first sentence, with concrete facts (prices, terms, service area) and sources. See content that AI cites.
5. Build mentions elsewhere. AI systems take a large part of their sources from sites other than yours: review platforms, industry directories and news media. See building authority for AI.

The full plan, with how much time each step takes, is in GEO optimization in six steps.

Why GEO matters now

GEO matters because AI answers take clicks away from the regular search results. Ahrefs compared 300,000 keywords and found that the first search result gets 58 percent fewer clicks when an AI Overview sits above it. [4] You can rank at the top and still get fewer visitors. If you are mentioned in the AI answer itself, you keep that visibility.

At the same time, AI assistants have reached a huge scale: ChatGPT has hundreds of millions of weekly users and Google shows AI answers in its regular search engine. For a small business that means the question "which company do you recommend?" is asked of an AI more and more often instead of typed into a search bar.

What does GEO cost?

GEO costs anywhere from $49 a month if you do it yourself with software to a monthly agency retainer.

• Do it yourself with software: GreatCompany Pro costs $49 a month and measures every day whether AI mentions you, plus SEO improvements ready to paste. See pricing.
• Outsource it: agencies charge a monthly retainer and prices vary widely. What to look for is on GEO agency or GEO tool.

A detailed breakdown is in what does GEO cost.

Is GEO right for your business?

GEO makes sense if your customers ask a question where an AI can recommend a business, product or service: "which plumber near me", "best accounting software for freelancers", "good restaurant for a group". That goes for almost every small business with a website.

Be realistic about time. Technical improvements are visible to crawlers within weeks. New or rewritten pages usually need a few weeks to months to show up in Google and in AI answers. Authority through mentions elsewhere is built over months.

Each platform works a little differently:

• Getting found in ChatGPT
• Getting found in Google AI Overviews and AI Mode
• Getting found in Perplexity
• Getting found in Gemini
• Getting found in Copilot
• Getting found in Claude