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?
- The model reads the question plus context: location, language, earlier turns in the conversation.
- 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”.
- Each sub-query retrieves results, and the system selects the passages that answer each part (passage retrieval).
- 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
- 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.
- 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).
- Handle comparisons honestly. Google pitches AI Mode at “complex comparisons”, so answer “X or Y?” questions with clear criteria, not self-praise.
- Link related pages so crawlers and readers can move between a topic and its sub-topics.
- 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 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
- Google — Expanding AI Overviews and introducing AI Mode — 2025-03-05
- Search Engine Journal — Google AI Overview Citations From Top-Ranking Pages Drop Sharply — 2026-03-02
- Google Search Central — Optimizing your website for generative AI features on Google Search — 2026-07-10
- Surfer — Ranking for Multiple Fan-Out Queries Dramatically Increases Your Chances of Getting Cited in AIOs — 2026-09-17
- OpenAI Help Center — Searching the web with ChatGPT — accessed 2026-09-24
- Peec AI — ChatGPT searches in English, even when you don't — 2026-02-12
- Google — AI in Search: Going beyond information to intelligence — 2025-05-20
- Google Search Central — AI features and your website — 2025-12-10
- Bing Webmaster Blog — Introducing AI Performance in Bing Webmaster Tools Public Preview — 2026-02-10