Query Fan-Out Generator

A query fan-out generator breaks one topic into the related sub-questions that AI search systems such as Google AI Mode and AI Overviews may run to build an answer: definition, process, cost, comparison, risks, freshness, local and follow-ups. Paste your page text to see which sub-questions it already covers.

It runs entirely in your browser. Nothing you paste or upload is sent to a server or stored.

How to read the result and act on it

Read the output as a map of questions a thorough answer might need to cover, not as a list of searches Google ran. Go through each group, such as definition, process, cost, comparison, risks, freshness, local and follow-ups, and mark which ones your page already answers well. If you pasted your page text, use the coverage view to see where nothing in your text matches a sub-question. Prioritise gaps that a reader would obviously expect, and add a short, direct answer under a clear heading for each one. Do not add every sub-question; choose those that fit the page's purpose and keep the page focused on one topic.

Common mistakes to avoid

Do not present the list as the exact queries a search system uses; nobody outside the system can see those, and the tool says so. Another mistake is turning every sub-question into a thin separate page, which dilutes the topic. Avoid adding sections just to tick coverage: a paragraph that restates the heading helps nobody. The coverage check is a text match, so a section may be marked as missing even if you covered it in different words; read it before acting. Do not forget freshness and local items when they matter, such as prices that change or city-specific details. Finally, keep answers specific, with facts a reader can verify.

What is query fan-out?

Google has described AI Mode as breaking a question into several related searches and combining the results. Planning content around those sub-questions makes a page more complete.

Can I see the exact queries Google runs?

No. Google does not publish them. This tool models likely sub-questions from common search patterns, so use it as a content planning aid, not a copy of any engine's internal queries.

How do I optimise for fan-out?

Cover the main question and its likely sub-questions on one page, each under its own clear heading with a direct answer, and link to deeper pages for detail.

How can I find related questions for a topic?

Use the People Also Ask box, autocomplete, related searches and forums to see how people phrase follow-ups. A fan-out generator adds a structured set across definition, cost, comparison and risk. Check each against your page and answer the useful ones.

Does answering sub-questions help a page get cited in AI answers?

It can make a page more complete and easier to extract from, but no tactic guarantees a citation. AI products choose sources in ways that are not public. Clear, accurate, well-structured answers are a sound way to serve readers regardless.

• Answer Block Checker: Test whether the paragraph under a heading answers the question directly and can stand alone.
• Answer Readiness Scorer: Score a page for structure that helps answers be found and lifted: headings, lists, facts and freshness.
• AI Visibility Prompt Pack: Generate prompts to track whether AI search tools mention, cite and describe your brand correctly.

Browse all 9 free ai & geo tools, or see the full free SEO toolbox. If you would rather have this handled for you, take a look at our AEO and AI search services and the results from real projects.