AI Query Fan-Out Simulator

See how AI engines expand your search query into related sub-queries, and which ones you need to rank for.

What this tool is

The simulator starts from one seed query (for example, a category or buying-intent search) and shows how answers might fan out into related sub-queries (different angles, intents, and depths), similar to how people explore a topic in ChatGPT, Claude, or Gemini.

Why query fan-out matters

Buyers rarely ask AI a single phrasing of a problem. Engines expand prompts into comparisons, pricing, how-to, local, and recommendation-style questions. If you only optimise for one keyword string, you can miss the queries AI uses when it recommends competitors, so your GEO and content roadmap should reflect the full intent map, not just head terms.

Who it's for

Growth and content marketers, SEO teams moving into GEO, founders shaping category narratives, and agencies proving AI-search readiness to clients.

How it works

Enter a seed query and optional industry. We send one structured request to a compact model that returns JSON trees per engine. Output is illustrative for brainstorming and gap analysis, not a live dump of proprietary ranking data, and can vary slightly between runs.

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Want to track which of these queries mention your brand?

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