What is GEO? A practical guide to being found in AI search

First, a working definition

Generative engine optimization (GEO) is a working label for improving how a business and its information can be discovered and represented in AI-generated answers. It covers questions such as whether a source is accessible, whether its claims are understandable, and whether a reader has a reason to trust it.

We use the term as an editorial shorthand, not as a promise of placement. A citation in one answer is an observation about that answer. It is not a permanent ranking or proof of a commercial outcome.

Keep the foundations. Expand the questions.

Google’s guidance says that its existing SEO fundamentals remain relevant to AI features. There is no special markup that guarantees inclusion. That is a useful reason to resist a separate “AI-only” website strategy.

Our practical starting point is a simple sequence: make a page reachable; give it a clear purpose; support material claims; and help readers take the next sensible step. Then consider the questions people ask in a conversation, including comparisons, constraints, and follow-ups.

A better page begins with a real decision

Imagine a small software company explaining its reporting product. “The best reporting platform” gives a reader very little to evaluate. A page explaining which data sources it supports, how updates work, and when a spreadsheet is sufficient gives the reader a decision framework.

That example is illustrative. The point is to replace a broad claim with specific, checkable information: definitions, assumptions, examples, limitations, and links to supporting material. Short answers help readers get oriented; the detail beneath them helps readers judge the answer.

Your first week of work

1. Choose one important question that your customers actually ask.
2. Write a direct answer, then add the conditions that could change it.
3. Include an original example and cite the sources behind factual claims.
4. Check the published page without JavaScript and on a small screen.
5. Record a baseline of relevant search visits and qualified actions.

If you also sample AI answers, record the exact prompt, platform, date, and visible sources. Treat the result as a small observation log. The goal is to learn which information helps people, then improve it.