What is generative engine optimization (GEO), and is it different from AEO?

Generative engine optimization (GEO) is the practice of making your business and content easy for AI assistants to understand, so they include you when they generate an answer. It is the same discipline as answer engine optimization (AEO). Different people use different names for it, and you will also see “AI search optimization” and “LLM SEO.” They all describe the same work: getting cited or recommended by tools like ChatGPT, Google AI Overviews, Claude, and Perplexity.

Why there are several names

The field is young, and it grew up in several places at once. “Generative engine optimization” came out of academic research on how to influence what large language models cite. “Answer engine optimization” came from the marketing world, where the focus was on tools that give answers instead of links. “AI search optimization” is the plain-English version. At AnswerLion we say AEO, but if a client says GEO we do not correct them, because the work is identical.

What a generative engine actually does

When you ask an AI assistant a question, it does some combination of three things: it draws on what it learned during training, it runs live web searches and reads the results, and it pulls from sources it has been given access to. Then it writes an answer. For a question like “which accounting firm should I use for a small manufacturing business in Ohio,” the assistant will usually search, read a handful of pages, and name two to five firms it found clearly described and reasonably well supported by other sources.

That means the engine is making a judgment about which businesses it understands and trusts. GEO is the practice of improving that judgment in your favor.

What moves the needle

Nobody outside the AI companies knows the exact rules, and they change. But the practices below are widely considered to help, and they line up with how these systems are known to work.

Answer the question in the first sentence. The assistant is looking for text it can quote. A page that opens with a direct statement of what you do, for whom, and where is far more usable than one that opens with a slogan.

Use structured data. Schema markup for your organization, services, FAQs, and articles tells machines what a page is about without having to infer it.

Let the crawlers in. Check that your robots.txt is not blocking AI search crawlers, and that your content is in the page’s HTML rather than loaded only after JavaScript runs. Many sites block these crawlers by accident.

Be consistent everywhere. Your name, services, location, and description should match across your site, directories, review platforms, and social profiles. Inconsistency lowers the engine’s confidence.

Earn mentions from sources the engines trust. Reviews, industry publications, and credible directories give the assistant more reasons to include you. This is the slowest part and the part that compounds most.

Publish specific, original information. Concrete facts, real process descriptions, and clear comparisons are quotable. Generic marketing copy is not.

How it differs from traditional SEO

SEO aims to rank a page in a list. GEO aims to make your business part of the answer. The foundation overlaps, because a crawlable, credible site helps both, but GEO puts more weight on direct answers, structured data, and consistency across the web. It also moves faster, because few businesses have started and AI engines refresh more often than search rankings change. We cover this in more depth in AEO vs SEO.

How to start

Pick five to ten questions your customers actually ask before they choose a business like yours. Ask each one in ChatGPT, Google AI Mode, Claude, and Perplexity. Record whether you are named, how you are described, and who is named instead. That takes about 20 minutes and gives you a baseline. Our guide walks through it step by step.

From there, fix the gaps in order: wrong descriptions first, missing direct answers second, structured data and listings third, authority building last. Then run the same questions again next month. If you would rather have the whole thing done for you, book a call.