AI search starts with a question your page can answer

A buyer wants to know whether their marketing team can publish without a developer. Your service page talks about a flexible platform and an experienced team, but never says which changes an editor can make. The buyer has to book a call to get a basic answer.

That is a good place to start an AI search review. Generative Engine Optimization, or GEO, is about how content shows up in AI-generated answers. Before changing markup or adding another FAQ, check whether the page holds the information someone needs.

Make the answer specific enough to use

Here is an illustrative rewrite for a fictional content-platform service. A real business would need to match it to its actual agreement.

The rewrite gives the buyer a specific limit to discuss with their team. It also gives whoever maintains the page something concrete to check when the service changes. Add a source link or an example where it helps prove the answer.

What this does, and what remains uncertain

Google says (opens in a new tab) its AI Overviews and AI Mode use the same basic requirements as search. The page must be indexed and eligible for a snippet, and no special AI markup is needed. Bing describes grounding (opens in a new tab) as tying an AI answer to the pages it retrieved. That makes a clear source worth having, though no wording is guaranteed a citation.

Pick one question that keeps coming up in sales calls or support requests. Read your page's answer on its own and mark anything the reader would have to guess. Then ask the person who runs the service to confirm it. That follows Google's advice on helpful content (opens in a new tab) and gives you a change you can judge directly.

If you later test AI visibility, save the question, system, date, and cited pages with each result, and treat it as a dated sample. The immediate test is simpler. A buyer should be able to explain what the service lets them do and where its limits are.