What is GEO? Generative engine optimization explained

What generative engine optimization means

A “generative engine” is any search tool that writes an answer instead of just handing you links. ChatGPT with search turned on is one. So are Google’s AI Overviews and AI Mode, Perplexity, Gemini and Microsoft Copilot. You ask a question, the tool reads a handful of web pages behind the scenes, and it writes a short reply, often with a few sources linked.

Generative engine optimization is the work of influencing what goes into that reply. For a contractor, that usually means two things: being one of the businesses the AI names when someone asks for a recommendation, and having the AI describe you accurately (right trade, right service area, right phone number) when it does.

GEO meaning: not the same as geo-targeting

If you’ve run ads, “geo” probably makes you think of geo-targeting or geo-fencing, which is choosing the map area your ads show in. That’s a different thing. In search marketing today, GEO almost always means generative engine optimization. The overlap in letters causes real confusion on sales calls, so it’s worth asking any agency which one they mean.

Where the term came from

The phrase was coined in a 2023 research paper titled “GEO: Generative Engine Optimization”, written by researchers from Princeton University, Georgia Tech, the Allen Institute for AI and IIT Delhi, and later presented at the KDD 2024 conference. The team tested how small changes to a web page affected whether AI answer engines used it as a source.

Their headline finding: some edits lifted a page’s visibility in AI answers by up to 40% in their tests. The methods that helped most were the boring, honest ones. Adding statistics, quoting credible sources and citing references all helped. Old-school keyword stuffing did not. That’s a useful signal for anyone tempted to “game” AI search: the tools reward pages that read like a trustworthy reference.

Since then, the label has spread fast, alongside a few cousins that mean roughly the same thing.

Don’t get hung up on the acronym. They all describe the same job: being the source an AI picks.

How AI answers decide who to mention

It helps to know roughly what happens between the question and the answer. The details differ by tool, but the pattern is similar.

1. The question gets broken down. “Who’s a good roofer in Plano for hail damage” may become several searches behind the scenes: roofers in Plano, hail damage repair, reviews of local roofing companies. Google calls this a “query fan-out.”
2. The tool pulls sources. It searches the web (Google’s own index for AI Overviews, a mix of search partners for ChatGPT and others) and grabs a short stack of pages, listings and reviews.
3. The model writes the answer. It summarizes what those sources agree on, names a few options and often links to where it got them.

So an AI tool doesn’t invent a recommendation from nothing. It repeats what it found. If the pages it found say you’re a well-reviewed roofer serving Plano, you have a shot. If they say nothing, or contradict each other, you get skipped.

Google says this plainly in its guide to AI features and your website: there are no extra technical requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible for a regular search snippet, and the same SEO best practices apply. That’s why we describe GEO as SEO plus a few extra layers, not a replacement for it.

What GEO work actually involves

For a home service business, generative engine optimization comes down to five areas. None are magic. All of them make you easier to understand and safer to recommend.

A clear business entity

An “entity” is how search engines and AI models think of your business: one specific company with a name, a trade, a service area and a reputation. GEO starts with making sure every source tells that same story. Your website, Google Business Profile, Yelp, BBB and trade directories should match on name, phone, services and the cities you cover.

Structured data

Schema markup is code on your site that labels facts for machines: this is a plumbing company, this is the phone number, these are the services, this is the service area. It doesn’t guarantee a mention, but it removes guesswork.

Answer-first pages

AI tools lift clean, direct statements. A service page that opens with “We repair and replace residential water heaters across Dallas, Richardson and Garland, usually same day” gives a model something to quote. A page that opens with “Welcome to our family-owned company” doesn’t.

Mentions on other sites

AI answers lean heavily on what others say about you: review platforms, local news, supplier pages, community threads. A business mentioned in many trusted places looks like a safe pick. One that only talks about itself doesn’t.

Testing what the AI says

The last piece is measurement. You run a fixed set of real homeowner questions through ChatGPT, Gemini, Perplexity and Google, record who gets named, and repeat over time. That’s the only honest way to know whether anything changed.

Does GEO matter for a local contractor?

It depends on how your customers search, and that’s shifting. Someone with water on the floor at 9 p.m. will probably still type “emergency plumber near me” into Google and call from the map. But planned, higher-ticket jobs (a roof replacement, a new HVAC system, a kitchen remodel) involve research and comparison. That’s where homeowners increasingly ask an AI tool to shortlist companies for them.

An AI shortlist is short. Where Google shows a map, ads and ten links, a ChatGPT answer often names two or three businesses. Being left out of that paragraph means you weren’t in the running for that homeowner at all. We break down where the two disciplines overlap and where they split in GEO vs SEO, and whether the old playbook still works in is SEO dead.

Common GEO myths

• “You can pay to be recommended by ChatGPT.” There’s no listing fee for organic AI answers. Anyone selling a guaranteed placement is guessing or misleading you.
• “GEO replaces SEO.” Google’s own documentation says AI features rely on the same index and the same best practices. Skip the foundation and GEO has nothing to stand on.
• “You need a special AI file or hidden code.” Proposed files like llms.txt get talked about a lot, but Google’s AI features guidance doesn’t require any special file. Focus on what the AI reads: your pages, listings and reviews.
• “Pumping out AI-written blog posts helps.” Thin, generic content gives a model nothing new to cite. The research above found that pages with real facts, figures and sources did better.

How to start with generative engine optimization

1. Ask the AI about yourself. Try “best [your trade] in [your city]” and “tell me about [your business name]” in ChatGPT, Gemini and Google. Write down who gets named and whether your details are right.
2. Fix mismatched facts. Make your name, phone, services and service area identical everywhere they appear.
3. Rewrite your top service pages answer-first. Lead with what you do, where you do it and how to book.
4. Earn real mentions. Reviews, supplier listings, local press and genuine community answers all count.
5. Retest every month or two. Same questions, same tools, so you can compare.

Want to know what ChatGPT and Google AI say about your business today? Our generative engine optimization service starts with exactly that test. Or contact us and we’ll walk you through it on a discovery call.