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Query fan-out tool

One question, many searches.

When you ask Google's AI Mode something, it can quietly run several related searches and then write one answer. This tool shows the kinds of follow-up questions it tends to explore, and checks whether your page answers them.

New to query fan-out? Read our guide first

A few words work best: a product, service or subject.

We check which sub-questions this page already answers.

Adds a local question, like “… in Utrecht”.

These are common angles AI search explores, written from templates. They are not Google's actual fan-out queries, which Google doesn't publish.

Example for “heat pump”. Type your own topic above.

Sub-questions for “heat pump”

AI search may look up angles like these before it writes one answer. Cover the ones that fit your page.

  • Definition

    heat pump: what is it?

    Why AI asks this: People who are new to a topic start here. AI answers often open with a short definition.

  • How it works

    heat pump: how does it work?

    Why AI asks this: Follow-up searches often dig into the mechanism behind the answer.

  • Steps

    heat pump: how do you get started, step by step?

    Why AI asks this: Many questions are really about doing something. Clear steps are easy to quote.

  • Cost

    heat pump: how much does it cost?

    Why AI asks this: Price is one of the first things people want to know before they decide.

  • Comparison

    heat pump: how does it compare to similar options?

    Why AI asks this: AI answers often weigh options against each other.

  • Alternatives

    heat pump: what are the alternatives?

    Why AI asks this: People like to know what else is out there before they choose.

  • Best options

    heat pump: what are the best options?

    Why AI asks this: “Best” searches ask for a short list with reasons.

  • Pros and cons

    heat pump: what are the pros and cons?

    Why AI asks this: A balanced answer names the downsides too, not just the benefits.

  • Problems

    heat pump: what problems are common?

    Why AI asks this: Problems and fixes are a natural next question, before and after buying.

  • Who it's for

    heat pump: who is it for?

    Why AI asks this: An answer is more useful when it says who it fits, and who it doesn't.

  • What you need

    heat pump: what do you need before you start?

    Why AI asks this: People want to know what to prepare: tools, skills, time or budget.

  • Risks

    heat pump: is it safe, and what are the risks?

    Why AI asks this: Questions about safety and risk need a careful, clear answer.

  • What's new

    heat pump: what's new in 2026?

    Why AI asks this: Some questions need current information. A dated update shows yours is fresh.

What to do next

Add the missing sub-questions that fit to this page, each as its own section with a clear heading.

Don't make a separate page for every sub-question. Google calls that scaled content abuse.

Ask your own AI assistant

Paste this into ChatGPT, Gemini or another assistant. Its answer is a guess too: when asked like this, an assistant can list searches it never ran.

Which web searches would you run to give a complete answer about “heat pump”? List only the searches, one per line.

What this tool can and can't tell you

  • It shows angles, not Google's real queries. The sub-questions come from templates that cover the usual angles of a topic.
  • Query fan-out itself is real. Google says AI Overviews and AI Mode may run several related searches across subtopics to build one answer.
  • Nobody outside Google can see the real list. Tools that “extract” fan-out queries run their own AI test, not your visitor's search. In one practitioner's test, Gemini even listed searches it had not run.
  • Templates can't guess topic-specific ideas. In Google's own example, a question about a lawn full of weeds leads to searches about herbicides. Only you know which ideas like that fit your topic.

Sources

  • Google Search Central: AI optimization guide
  • Google Search Central: AI features and your website
  • Google blog: AI Mode and Deep Search (May 2025)
  • OpenAI Help Center: ChatGPT search
  • DEJAN: Gemini 3 and listed fan-out queries (one practitioner's test)

How to use the results

  1. Pick the sub-questions that really fit your page. Skip the rest.
  2. Give each one its own section with a clear heading, ideally phrased like the question.
  3. Write each section so it makes sense on its own. AI search may quote just that part.
  4. Check your page again here to see which sub-questions now have a section.

One strong page, not one page per question

Google warns that creating separate content for fan-out queries, mainly to get into AI answers, breaks its scaled content abuse spam policy. Cover the sub-questions on one good page instead.

Read Google's guidance

Questions about this tool

Can I see Google's real fan-out queries?

No. Google does not publish the searches behind an AI answer. Tools that claim to show them run their own AI test, which is not what your visitors saw.

Does ChatGPT do this too?

Something similar. OpenAI's help center says ChatGPT search rewrites your question into one or more targeted searches. Only Google calls it query fan-out.

How many searches does AI Mode run?

Google gives no typical number for AI Mode or AI Overviews. The only figure it gives is for Deep Search, which it says can run hundreds of searches.

Should I write a page for every sub-question?

No. Google says separate content for fan-out queries, made mainly to manipulate AI answers, breaks its spam policy. Add the sub-questions that fit to one strong page.

Is this the same as keyword research?

Related, but different. Keyword research looks at what people type. Fan-out is about the extra searches an AI runs for one question. Our guide explains the difference.

Keep learning

  • Query fan-out explained
  • How to structure content for AI search
  • How complete answers get cited
  • Prompts to check if AI mentions you

Check the whole page

Sub-questions are one part of the picture. Score your page on 22 GEO metrics, from structure to sources.

Score your page