What is generative engine optimization (GEO)?

What is generative engine optimization?

Generative engine optimization is the practice of getting your business named, and described correctly, in answers written by AI tools. A generative engine is any tool that writes an answer instead of handing you a list of links. ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Copilot and Claude all fit that description.

The name comes from a 2023 research paper, GEO, Generative Engine Optimization, later accepted at the KDD 2024 conference. The authors described engines that combine search with a generative model. They then tested which content changes made a source more visible inside the answers.

For a business, the goal is simple. A homeowner asks "who is the best HVAC company in San Antonio for a new AC unit". A CFO asks "which payroll software works for a 50-person nonprofit". You want to be named, named early, described correctly and linked.

Why does GEO matter for US businesses right now?

GEO matters because a large share of Americans now use AI tools to find information. Pew Research Center's 2026 survey of 5,119 US adults found 49% use AI chatbots, up from 33% in 2024. It also found 44% have used ChatGPT and 24% have used Gemini. About four in ten US adults use chatbots to search for information.

Google has moved the same way. AI Mode started rolling out to everyone in the US on May 20, 2025. In July 2026, Alphabet said AI Mode had passed 1 billion monthly active users, and that AI Overviews and AI Mode have been merged into one Search experience. OpenAI says ChatGPT has more than 900 million weekly active users worldwide.

The effect on clicks is real. A Pew Research Center study tracked the browsing of 900 US adults in March 2025. When a Google AI summary appeared, people clicked a regular result in 8% of visits. Without one, they clicked in 15% of visits. An Ahrefs study of 300,000 keywords found the number one result gets about 58% fewer clicks when an AI Overview shows.

Being inside the answer helps, though. Seer Interactive found brands cited in an AI Overview earned 35% higher organic click-through than brands that were not cited. And the visits that do come from AI can be valuable. Adobe reported that in March 2026, AI traffic to US retail sites converted 42% better than other traffic.

How do ChatGPT and Google decide what to say?

AI engines draw on two things. One is what the model learned in training. The other is what it finds on the web at the moment it answers. Most GEO work comes down to influencing both.

What the model already knows. Large language models are trained on huge amounts of public text. If your brand was written about widely and consistently before the training cutoff, the model has a picture of you. If it was not, it may know nothing, or it may guess.

What it looks up live. Search-enabled engines search before they answer. OpenAI says ChatGPT search rewrites your question into one or more targeted queries and sends them to search providers. It may also use an approximate location from your IP address to give local results. Google describes a query fan-out technique for AI Overviews and AI Mode, where it runs several related searches at once.

The two routes need different work. Live search rewards pages that rank, load cleanly and state facts plainly. Model memory rewards a long record of consistent mentions across the web. There is more on this in how AI engines choose sources.

Which AI engines should a GEO strategy cover?

A GEO strategy should cover the engines your buyers use. For US businesses that usually means the six below. They get their information in different ways, which changes where the effort should go.

Pew found 17% of US adults have used Copilot, so it is worth checking too. The same question can get a different answer from each engine. It can also get a different answer from the same engine an hour later. That is normal, and it shapes how GEO should be measured.

Is GEO the same as SEO?

No, but GEO sits on top of SEO. People searching "GEO SEO" often want to know how the two fit, and the short answer is that you need both. Google says there are no additional requirements to appear in AI Overviews or AI Mode. A page only needs to be indexed and eligible to show a normal snippet.

What GEO adds is a different way of measuring and a wider set of places to work. SEO tracks rankings and clicks for keywords. GEO tracks whether you are mentioned, where in the answer, in what tone, and which pages the engine relied on. Those pages are often not yours. They are Yelp, BBB, Angi, industry directories, comparison articles and Reddit threads. The full comparison is in GEO vs SEO, and the overlap with snippets and voice answers is covered in our guide to answer engine optimization.

Does generative engine optimization actually work, or is it hype?

It works, in the sense that content changes can move visibility in AI answers. It does not work in the sense of a guaranteed result. In the GEO research paper, the methods tested raised source visibility by up to 40% in the authors' benchmark. Adding quotations, statistics and citations did best. Keyword stuffing, an old SEO habit, did not help.

Those were controlled tests, and results varied by subject. Real engines change their models and their search methods often. So treat any promise of a guaranteed ChatGPT placement with suspicion.

Some big claims are forecasts rather than facts. Gartner predicted in February 2024 that traditional search engine volume would drop 25% by 2026. That was a prediction, not a measurement. Steady work on content, reputation and technical basics is what moves the numbers.

Why does a brand show up in one AI answer but not in a similar one?

Small changes in wording change what the engine searches for. "Best personal injury lawyer in Chicago" and "car accident attorney near Wrigleyville" can pull different pages, and so different firms. Each engine also picks from its results a little differently each time.

Personal context plays a part in consumer apps too. Location, past chats and the model version can all shift the answer. That is why one screenshot proves very little. A set of related questions, run many times, shows the real pattern.

What does GEO work involve?

GEO work falls into five areas. Many US businesses already do parts of it under the heading of SEO, local SEO or PR.

1. Find the questions buyers ask

Start with questions, not keywords. A homeowner might type "ac repair near me" into Google. The same person might ask ChatGPT which AC companies in Houston offer same-day service and financing. Collect these from sales calls, web forms, People Also Ask boxes and Reddit threads. This list becomes your prompt set.

2. Measure what the engines say now

Run those questions through each engine and record the results. Note whether you are named, your position in the answer, the tone, which competitors appear and which pages are cited. Repeat it on a schedule, because single answers vary.

3. Make your own pages easy to quote

AI engines pull short passages. Pages that answer a question in the first sentence under a clear heading are easier to lift. Specific facts help, such as prices, service areas, zip codes covered, hours, named authors and dates.

4. Get mentioned where the engines look

For many buying questions, engines cite third-party pages as well as brand websites. Look at which sites get cited in your field. For a law firm that may be Avvo and legal directories. For a dental group it may be Healthgrades and Zocdoc. Being listed accurately there, with good reviews, is often the quickest route into answers. There is more for service businesses in AI search for local businesses.

5. Keep the facts straight

AI answers can be wrong about your prices, locations or services. That often traces back to an old page, a stale listing or someone else's comparison article. Finding and correcting those sources is part of GEO.

What makes a page easy for AI to quote?

A page is easy to quote when a short passage can stand on its own and still be correct. Engines lift a sentence or two, not the whole page. So each section needs to make sense without the paragraphs around it.

• Put the answer first. Start each section with a sentence that answers its heading in full.
• Name things. Say "our Scottsdale office is open until 6pm on Saturdays", not "we're open late on weekends".
• Show where facts come from. Link to the source of a figure, and date anything that changes.
• Say who wrote it. A named author with real experience helps both readers and engines judge trust.
• Keep one topic per page. A page that answers twenty loosely related questions is harder to match to any one of them.

What technical basics does GEO need?

The technical side is short, but it still trips up a lot of sites.

• Let the right bots in. OpenAI says sites that block OAI-SearchBot will not be shown in ChatGPT search answers, apart from navigation links. Check robots.txt and your CDN or firewall settings too.
• Keep key facts in plain HTML text. Details locked in images, PDFs or scripts are harder for bots to read.
• Add structured data that says who you are. Organization or LocalBusiness markup, with sameAs links to your official profiles, helps engines connect the dots. A free entity audit shows what your site says now.
• Keep your listings current. That means Google Business Profile, Bing Places and Apple Business Connect, with the same name, address and phone number everywhere.

How do you measure GEO results?

You measure GEO by running a fixed set of questions on a schedule and tracking a few numbers over time. The main ones are mention rate, share of voice weighted by position, citations of your pages, sentiment and accuracy.

Treat the numbers as a sample. One check tells you little, while a trend over several weeks across many questions tells you a lot. Google Search Console now has a generative AI report showing impressions from AI Overviews and AI Mode, which is a useful cross-check. Visits from chatgpt.com and perplexity.ai in Google Analytics 4 are another.

Where should a US business start with GEO?

A good place to start is small and specific.

1. Write down 20 to 30 questions your buyers really ask, in their own words, including the city or state.
2. Run them through ChatGPT, Google, Gemini and Perplexity, and note who gets named.
3. List the sites the engines cite most for those questions.
4. Fix the obvious gaps, such as missing listings, blocked bots or pages that bury the answer.
5. Run the same questions each month and watch the trend, not single answers.

That is enough to show whether GEO matters in your market, and where the effort should go first.

How Axiom GEO helps

Axiom GEO runs your prompt set on a schedule across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews, and prompts can run with US locations. AI visibility tracking records mentions, position, sentiment, competitors named and cited pages, and turns this into share of voice weighted by position. Axiom GEO asks ChatGPT, Perplexity and Gemini with web search on, so their answers name the pages they used. Claude is asked without web search, which shows what the model already knows about you. On the Professional plan and above, answer accuracy checks each claim against an approved fact sheet of your business. Axiom GEO is run from the UK and works for US brands and agencies. Plans are billed in pounds sterling, and the pricing page shows an approximate US dollar figure at the current exchange rate.