--- title: "Query fan-out: Definition, Examples & How It Works | Simeon" url: https://www.simeonsolutions.com/glossary/query-fan-out description: "Query fan-out is the technique AI search systems such as Google's AI Mode and AI Overviews use to split one question into many related sub-queries, run…" updated: 2026-09-24 --- 1. [Home](https://www.simeonsolutions.com/) 2. [Glossary](https://www.simeonsolutions.com/glossary) 3. AI search # What is Query fan-out? AI search·Updated 24 September 2026·By the Simeon Solutions team Query fan-out is the technique AI search systems such as Google's AI Mode and AI Overviews use to split one question into many related sub-queries, run them at the same time and combine the results into one answer. A page can be cited for a sub-question it answers well without ranking for the original query. Also called: fan-out queries · sub-queries The query a customer types is no longer the only query that decides who gets cited. Google described the technique when it introduced AI Mode in March 2025: it issues “multiple related searches concurrently across subtopics and multiple data sources” — web results plus systems such as the Knowledge Graph and shopping data — then brings the results together. An Ahrefs analysis published in March 2026 found only 38% of pages cited in AI Overviews ranked in Google’s top 10, down from 76% in mid-2025 — a shift Ahrefs put partly down to fan-out and partly to changes in its own measurement. ## Why does it matter in 2026? - **Google now documents it for site owners.** Its AI optimisation guide (updated July 2026) defines fan-out as “a set of concurrent, related queries generated by the model to request more information and fetch additional relevant search results”. - **Ranking for sub-questions tracks with citations.** Surfer’s September 2026 study found a strong correlation (0.77) between the number of fan-out queries a page ranks for and its chance of being cited in AI Overviews. Surfer generated the fan-outs with Gemini and stresses that correlation is not causation. - **It isn’t only Google.** OpenAI says ChatGPT search “typically rewrites your query into one or more targeted queries”. Peec AI found that for non-English prompts, 43% of ChatGPT’s fan-out searches ran in English. It tested European languages, not Indian ones, but it is a reason to keep good English pages alongside Malayalam, Tamil or Gujarati ones. ## How does it work? 1. The model reads the question plus context: location, language, earlier turns in the conversation. 2. It writes sub-queries — definitions, costs, comparisons, local options, recent changes, implied needs. Research modes go further: Google says Deep Search “can issue hundreds of searches”. 3. Each sub-query retrieves results, and the system selects the passages that answer each part ([passage retrieval](https://www.simeonsolutions.com/glossary#passage-retrieval)). 4. It writes one response and links some of the sources. The sub-queries shift from run to run. Surfer’s data suggests only around 27% stay consistent across repeated searches for the same prompt, so no tool can give you a definitive list. ## How to get it right 1. **Map the follow-up questions.** For each key service, list what a careful buyer asks next: cost, time, eligibility, risks, alternatives, “near me”. Mine your enquiries, WhatsApp chats, People Also Ask boxes, AI Mode follow-ups and Search Console queries. 2. **Answer each in its own passage.** A descriptive heading, the answer in the first sentence or two, then specifics. One strong page per topic, not one per phrasing ([topical authority](https://www.simeonsolutions.com/glossary#topical-authority)). 3. **Handle comparisons honestly.** Google pitches AI Mode at “complex comparisons”, so answer “X or Y?” questions with clear criteria, not self-praise. 4. **Link related pages** so crawlers and readers can move between a topic and its sub-topics. 5. **Check rankings across the cluster.** In Search Console, look at every query a page ranks for, not just the head term. Bing Webmaster Tools’ AI Performance report goes further: it lists the “grounding queries” Microsoft’s AI used to retrieve the pages it cited in Copilot and Bing answers. ## Common mistakes - **A page for every fan-out query.** Google’s guide warns that creating separate content for every variation of a search, including fan-out queries, primarily to manipulate rankings or AI responses violates its [scaled content abuse](https://www.simeonsolutions.com/glossary#scaled-content-abuse) policy. - **Chopping pages into fragments.** Google says there is no requirement to break content into tiny pieces for AI. - **Treating a tool’s fan-out list as fact.** Tools estimate sub-queries (Surfer’s study generated them with Gemini); Google does not publish the real ones. ## In practice: a Kerala houseboat operator Someone asks AI Mode, “Is a houseboat trip in Alappuzha worth it during the monsoon with young children?” Behind the scenes, sub-queries might cover monsoon safety, overnight versus day cruises, prices, child-friendly boats and Alappuzha versus Kumarakom. An operator whose site answers each of those plainly — its own safety practices, cruise options, rates and what families should bring — has several chances to be cited, not one. ## Sources 1. [Google — Expanding AI Overviews and introducing AI Mode](https://blog.google/products-and-platforms/products/search/ai-mode-search/) — 2025-03-05 2. [Search Engine Journal — Google AI Overview Citations From Top-Ranking Pages Drop Sharply](https://www.searchenginejournal.com/google-ai-overview-citations-from-top-ranking-pages-drop-sharply/568637/) — 2026-03-02 3. [Google Search Central — Optimizing your website for generative AI features on Google Search](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) — 2026-07-10 4. [Surfer — Ranking for Multiple Fan-Out Queries Dramatically Increases Your Chances of Getting Cited in AIOs](https://surferseo.com/blog/query-fan-out-impact) — 2026-09-17 5. [OpenAI Help Center — Searching the web with ChatGPT](https://help.openai.com/en/articles/9237897-chatgpt-search) — accessed 2026-09-24 6. [Peec AI — ChatGPT searches in English, even when you don't](https://peec.ai/blog/chatgpt-searches-in-english-even-when-you-don-t) — 2026-02-12 7. [Google — AI in Search: Going beyond information to intelligence](https://blog.google/products-and-platforms/products/search/google-search-ai-mode-update/) — 2025-05-20 8. [Google Search Central — AI features and your website](https://developers.google.com/search/docs/appearance/ai-features) — 2025-12-10 9. [Bing Webmaster Blog — Introducing AI Performance in Bing Webmaster Tools Public Preview](https://blogs.bing.com/webmaster/February-2026/Introducing-AI-Performance-in-Bing-Webmaster-Tools-Public-Preview) — 2026-02-10 ## Related terms [Google AI Overviews & AI Mode](https://www.simeonsolutions.com/glossary/ai-overviews-and-ai-mode)[Passage retrieval](https://www.simeonsolutions.com/glossary#passage-retrieval)[Topical authority](https://www.simeonsolutions.com/glossary#topical-authority)[Scaled content abuse](https://www.simeonsolutions.com/glossary#scaled-content-abuse)[Answer Engine Optimisation (AEO)](https://www.simeonsolutions.com/glossary/answer-engine-optimisation) [← All glossary terms](https://www.simeonsolutions.com/glossary) [Check your site free →](https://www.simeonsolutions.com/tools/ai-visibility-checker)