LaunchRanked

Query fan-out generator

Google's AI Mode and AI Overviews can split one question into several searches before they answer. Enter a query to see the sub-queries they are likely to run, grouped by facet, and what your page needs to say to be the source for each.

The question or search you want your page to be cited for.

Narrows the sub-queries to who is asking, or what you sell.

A prediction from a language model, not data from Google. Up to 10 generations a minute across our AI tools.

The sub-queries appear here, grouped by facet (definition, how-to, comparison, cost, alternatives and more), each with the search intent and what your page needs to say to be the source. Below them: the sections your page should cover.

Written by GLM 5.3 Flash via OpenRouter (Meta Llama 3.3 70B on Cloudflare Workers AI steps in if it’s unavailable). It can get facts wrong and doesn’t know your product beyond what you type. Review and edit before you publish. We don’t save what you enter.

What query fan-out is

Google’s AI Mode doesn’t answer your question with a single search. When Google introduced AI Mode in March 2025, it said AI Mode “uses a ‘query fan-out’ technique, issuing multiple related searches concurrently across subtopics and multiple data sources” and then brings the results together. Google’s documentation for site owners says AI Overviews may do the same.

Google’s guide to generative AI features defines fan-out queries as “a set of concurrent, related queries generated by the model” to fetch more results. Its example: for “how to fix a lawn that’s full of weeds”, they might include “best herbicides for lawns”, “remove weeds without chemicals” and “how to prevent weeds in lawn”. OpenAI describes a similar loop for its API: a reasoning model can “perform web searches as part of its chain of thought, analyze results, and decide whether to keep searching”.

What the generator gives you

A language model predicts the sub-queries for your query and groups them by facet: definition, how-to, comparison, alternatives, cost, best-for, problems, recent changes, examples and proof. Each comes with its intent and what a page has to say to be the best source for it. You also get a checklist of sections for one page that covers them, and a CSV or Markdown copy.

It is a prediction

Nobody outside the search engines can see the real sub-queries, and they change with the person asking. Google’s Search Console report for AI features lists impressions by page, country, date and device, not by query. So read the output as questions your page should answer, not as keywords with search volume.

How to use the list

  1. Enter the query you want to be cited for. Add your audience or product if it changes the answer.
  2. Hold the facets up against your page. A missing facet is a missing section: no pricing, no comparison, no problems.
  3. Check real data before you write. The People Also Ask finder lists questions Google shows, and the AI Overview checker shows whether an AI Overview appears.
  4. Add what only you know: your numbers, screenshots and mistakes. Google asks for “non-commodity content”.

Don’t write a page for each sub-query

Google’s guide warns that separate content for every variation of how people search, fan-out queries included, “primarily to manipulate rankings or generative AI responses” violates its scaled content abuse policy. Cover the sub-questions as sections of one strong page. Give one its own page only when readers search for it alone and you can answer it better than a section can, as with pricing or a comparison.

New to the idea? Our glossary has short explainers on query fan-out, AI Mode and AI Overviews.

Questions

Are these the searches Google actually runs?

No. A language model predicts them from your query. Google doesn't publish the sub-queries it runs, they vary with the person asking, and Search Console's report for AI features lists impressions by page, country, date and device, not by query. Treat the list as questions your page should answer.

Should I write a separate page for each sub-query?

Usually not. Google's guide to generative AI features says that creating separate content for every possible variation of how people search, including fan-out queries, primarily to manipulate rankings or AI responses violates its scaled content abuse policy. Put the sub-questions in one strong page as sections. Split one out only when readers search for it on its own and you have enough to say.

Is query fan-out only a Google thing?

Fan-out is Google's term, and Google documents it for AI Mode and AI Overviews. Other AI tools also search before they answer: OpenAI's API docs say its reasoning models can search the web, read the results and decide whether to keep searching. How each product splits a question isn't published, so use the list to decide which questions to cover, not as a recipe for one engine.

How is this different from People Also Ask?

People Also Ask is a Google results feature: related questions that expand into short answers from web pages. This list is a model's guess at the searches an AI engine runs behind the scenes. Use both: People Also Ask for the follow-up questions Google shows, and this for gaps in what your page covers.

Which model writes it, and is my query saved?

GLM 5.3 Flash (from Z.ai), through OpenRouter, with Meta's open-weight Llama 3.3 70B on Cloudflare Workers AI as a backup. We don't save your query or the result. The model hasn't read live search results, so check its guesses against the real ones.

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