How does AI expand this query?

How query fan-out works

1. AI search engines never stop at your literal query. Behind the scenes they expand it into related sub-questions, gather an answer for each, and merge everything into one response. That expansion is called query fan-out, and if your content only targets the head query, you are absent from the answers built on the sub-questions.
2. This tool expands your query along the intent patterns AI engines use, grouped four ways: related questions, comparison and alternative queries, purchase-intent variants, and implicit-intent phrasings. The patterns are fixed, results are instant and come back in the page language. Measuring whether your brand actually appears in those queries is a separate job: the dashboard tracks it weekly across four engines.

An honest caveat: this is an estimate. Nobody outside the engines can see the exact sub-queries ChatGPT or Gemini generates at a given moment, so the tool gives you a realistic projection, and two runs on the same query may differ slightly.

How to read the fan-out result

Read the lists as a content plan. Related questions expose gaps your current page leaves open, the comparison rows are the scenes where you get named next to competitors, and the purchase-intent variants sit closest to a buying decision. You rarely need a new page per row; most gaps close with one clear section added to a page you already have. And if you are wondering whose name the AI picks when it answers these, we broke down the selection mechanics here: How ChatGPT recommends brands