Query Fan-out Analyzer
Enter a topic and see the sub-queries AI engines likely fan out into — grouped by intent — so you know exactly what to cover to get cited.
Enter a topic or query
Use a product category or topic, not a full sentence. Results are based on common AI query-expansion patterns.
Enter a topic above to see its fan-out sub-queries.
About the Query Fan-out Analyzer
What is query fan-out?
When you ask an AI engine a question, it rarely runs just your exact words. It 'fans out' — silently expanding one query into several related sub-queries across different intents (what it is, best options, comparisons, price, reviews), retrieves sources for each, and synthesizes one answer. If your brand is missing from the sub-query that actually decides the answer, you're invisible even if you rank for the original phrase.
This tool maps a topic into the sub-queries engines commonly generate, grouped by intent, using well-known query-expansion patterns. Use it as a GEO content checklist: make sure you have a strong, citable page or section answering each branch — especially the comparison, 'best', and reviews queries where buying decisions are made.
How to use the fan-out
- ✓Cover every intent branch: Aim to have content that can be cited for the informational, comparison and reviews sub-queries — not just the head term.
- ✓Prioritise comparison and 'best' queries: These bottom-of-funnel sub-queries drive AI recommendations. Earn mentions on listicles, Reddit and review sites for them.
- ✓Turn sub-queries into content: Each branch is a page, FAQ or section idea. Feed the copied list straight into your GEO content plan.
Query fan-out FAQ
What is query fan-out in AI search?+
It's how generative engines expand a single question into multiple sub-queries across different intents, retrieve sources for each, then merge them into one answer. Winning AI visibility means being present across the sub-queries, not just the original phrase.
How is this different from keyword research?+
Keyword research finds phrases people type; fan-out analysis shows how an AI decomposes a topic into the sub-questions it answers internally. It's a planning lens for GEO/AEO, focused on being cited inside AI answers rather than ranking blue links.
Are these the exact queries ChatGPT uses?+
No engine publishes its internal expansions. This tool generates the sub-queries engines commonly produce, based on established query-expansion and intent patterns, so you can plan coverage. Treat it as a checklist, not a literal log.
How do I use this for GEO?+
Copy the sub-queries and make sure you have a strong, citable page or section for each intent branch — especially comparison, 'best', and reviews. Then track whether AI engines actually mention you for them, which is what GEOly measures.
Is it free?+
Yes — it runs in your browser, no signup, and nothing you type is sent to a server.