What Is Generative Engine Optimization? A Plain-English Guide

Generative engine optimization (GEO) is the work of making your business easy for AI tools to find, understand and mention when they answer someone's question. The "generative engines" are tools like ChatGPT, Perplexity, Gemini, Claude and Google's AI Overviews, which write an answer instead of handing you a list of links.

That's the short version. The rest of this guide explains where the term came from, how these engines decide what to say, what actually helps, and how to tell whether it's working.

Where the term comes from

"Generative engine optimization" was popularized by a 2023 research paper by Aggarwal and colleagues, which treated AI answer engines as a new kind of search and tested which changes to a web page made it more likely to show up in generated answers. Their headline finding: some content changes boosted visibility in generated responses by up to 40% in their experiments, and what worked varied from one subject area to another.

You'll also see related terms: AEO (answer engine optimization), AIO (AI optimization), LLM SEO, AI search optimization. They overlap heavily. People argue about the labels; the work is mostly the same.

How AI engines decide what to say

It helps to know, roughly, what happens when someone asks a question. Details differ between products, but the general pattern for answers about current, real-world things (like which local business to call) looks like this:

1. The engine works out what's being asked. It may break a question into several smaller searches. "Best roofer for hail damage in Colorado Springs" might become searches about roofers, hail repair, reviews and the city.
2. It retrieves sources from the web. Each engine uses its own search index or a partner's, and its own crawlers. Pages that can't be crawled, or that don't rank for those smaller searches, never make it into the pile.
3. It reads and writes. The model reads the retrieved pages and writes an answer, often citing some of them.

Some answers also lean on what the model learned during training, especially for general knowledge. But for "who should I hire" questions, live web retrieval does most of the work. That's good news: it means the current state of the web, which you can influence, matters a lot.

What actually helps

Strip away the jargon and most GEO work falls into five buckets.

1. Be reachable

If an engine's crawler can't load your pages, nothing else matters. Check that your robots.txt and any security or CDN settings allow the crawlers you want. The main ones are documented by their makers: OpenAI (OAI-SearchBot for search, GPTBot for training, ChatGPT-User for actions taken on a user's behalf), Perplexity, Anthropic (ClaudeBot, Claude-User, Claude-SearchBot) and Google. Note that you can allow search crawlers while blocking training crawlers if you prefer; they're separate.

For Google's AI Overviews and AI Mode specifically, Google says a page must be indexed and eligible to show in Search with a snippet, and that there are no additional requirements. In other words: normal Google eligibility is the entry ticket.

2. Be clear

Engines quote passages that answer a question cleanly. Pages that wander, bury the point under a long intro, or try to cover ten services at once are harder to use. Good GEO writing looks like good writing for busy people:

• Answer the main question in the first two sentences
• One topic per page, with descriptive headings
• Specific facts: places served, process, timelines, what affects cost, credentials
• Short, honest FAQs taken from real customer questions

3. Be consistent

Your name, phone, hours, location or service area, and description should be identical everywhere: your site, Google Business Profile, Bing Places, industry directories, social profiles. Structured data (schema.org markup) on your site can state those same facts in a machine-readable way. Conflicting information makes you harder to recommend with confidence.

4. Be mentioned

Look at which sources the engines cite for questions in your field, and you'll see a pattern: reviews, trade directories, local news, comparison articles, community discussions. Engines draw on what others say about you. Earning honest mentions in those places is often the slowest part of GEO, and often the part that matters most.

5. Be measured

You can't manage what you can't see. Because answers vary from run to run, GEO measurement means asking the same set of questions repeatedly and tracking the share of answers that name you (appearance rate) and link to your pages (citation rate). A study of ChatGPT local recommendations found fewer than half of recommended businesses reappeared when the same question was asked again 4 to 9 days later, which is why single checks mislead.

What GEO is not

• It's not paying for placement. You can't pay an AI assistant to be named in its regular answers. Where ads exist in AI products, they're a separate, labelled thing.
• It's not a trick. Hidden instructions to AI, keyword stuffing and fake reviews are more likely to hurt you than help.
• It's not a replacement for SEO. Much of the foundation is the same. We cover the differences in GEO vs SEO: what changes, what doesn't.
• It's not guaranteed. Third parties run these engines, and their answers change. Anyone promising a fixed "#1 in ChatGPT" is promising something that doesn't exist.

Who needs it

If your customers research before they buy, some of them are already asking AI tools. That's especially true for:

• Local service businesses, where "who should I call" questions are common and the answer names only a few companies
• Professional services (legal, accounting, medical, consulting), where people ask for explanations before choosing someone
• Software and B2B products, where buyers ask for comparisons and shortlists

If your business runs entirely on referrals and repeat customers, GEO may be a lower priority. That's a fair conclusion to reach.

How to get started

1. List ten questions your customers ask before they hire someone like you.
2. Ask them in ChatGPT, Perplexity, Gemini, Claude and Google, signed out, a few times each. Note who's named and what's cited.
3. Fix the basics: crawler access, consistent details, one clear page per service.
4. Work through the cited sources and make sure you're represented accurately where it matters.
5. Repeat the same questions monthly.

Our post on why ChatGPT doesn't recommend your business walks through that test in detail. If you'd rather hand it off, our AI visibility audit does it across all five engines and turns the results into a ranked fix list.