queryfanout.io

queryfanout.io is a research tool by New Chemistry that shows you exactly how large language models break down a user prompt into multiple sub-queries and which web sources they cite. Instead of guessing which angles an AI cares about when answering a question, you paste a prompt and get the full fan-out: a categorized list of 8–12 sub-queries, the live search results for each, and a priority score telling you where to invest your content effort. The tool is built on Google's published query fan-out methodology, so the classification (related, comparative, entity expansion, reformulation, recent, implicit) is consistent and explainable.

After you enter a prompt, queryfanout.io runs each sub-query against real search engines and pulls back the top results. You see the volume, keyword difficulty, commercial value, and whether an AI Overview already appears for that query. Each sub-query gets a verdict: worth building, watch, or skip. The tool also synthesizes a canonical answer with numbered citations — the exact text an AI would produce from those sources. That answer mirrors what your prospects are reading in ChatGPT, Claude, or Perplexity. The four-scenario playbook then tells you what to do: tighten an existing page, expand it, skip the fight, or get mentioned in the listicles that already rank.

queryfanout.io is for anyone who needs their content to show up in AI-generated answers. SEO teams can use it to prioritize content topics, content marketers can spot missing angles, and SaaS founders can see which competitor pages an LLM cites most often. The tool runs entirely in the browser, no credit card required, and each analysis takes about 30 seconds. If you've been optimizing for Google rankings but ignoring how AI tools search the web, this is a practical way to bridge that gap.