What Is Query Fan-Out (How AI Mode Searches)?

Query fan-out is the technique Google's AI Mode uses to answer a question. Instead of running one search, it issues several related searches at once across subtopics and data sources, then combines the results into a single answer. Google introduced it with AI Mode in March 2025. For your content, it means a page can be pulled into an answer through a subtopic you never targeted directly.

What query fan-out is

Query fan-out is how AI Mode turns one question into many searches. Google says it uses a "query fan-out" technique, "issuing multiple related searches concurrently across subtopics and multiple data sources", then brings those results together into one response.

AI Mode runs on a custom version of Gemini that makes a plan, searches, and adjusts as it finds things.

So a broad question like "best nasi lemak in KL for a group" becomes many smaller searches. Each one is answered from whichever page fits it best.

Why it changes how you should write

Query fan-out rewards depth of coverage over a single exact-match page. Because AI Mode pulls from many subtopic searches, breadth of genuinely useful content wins.

Each sub-search pulls its own results, so the page that best answers a narrow subtopic can get cited, even if it never ranks first for the head term.

That is why covering a topic thoroughly beats polishing one keyword. It also leans on meaning rather than exact keywords, matching your content to the intent behind each sub-search.

Query fan-out vs a normal search

Query fan-out differs from a traditional search in what it runs and what it returns. A normal search sends one query and lists links; fan-out sends many and returns one answer.

	Traditional search	Query fan-out (AI Mode)
Searches run	One query	Multiple related searches at once
What you get	A list of links	One combined answer with sources
Wins by	Ranking for the exact query	Best-answering each subtopic

Source: Google (blog.google), "Expanding AI Overviews and introducing AI Mode," 5 March 2025.

Google's guidance on AI features says both AI Mode and its cousin, AI Overviews, may use query fan-out to break a question into parts. The shift is the same: from one page winning one query, to many pages each winning a slice.

What you can do about it

You cannot optimize for query fan-out directly, but you can feed it well. AI Mode is part of Search, and the same Google page says it needs no special markup, file, or new tag to use your content.

• Cover the subtopics and follow-up questions around your main topic, not just the head term.
• Answer each question clearly and early on the page, so a sub-search can lift a clean answer.
• Keep your business details and entities consistent, so engines match you correctly.

These are the same fundamentals behind answer engine optimization. Query fan-out simply raises the reward for doing them across a whole topic.

In our experience, the pages that get pulled into AI answers are the ones that cover a topic in real depth, not the ones built around a single keyword. Owners still ask us to rank for one phrase, when AI Mode is quietly reading their whole cluster.

Frequently asked questions

Do I need to do anything special to appear in query fan-out?

No special files or markup. AI Mode is part of Google Search, so the same indexing and content rules apply, with no separate AI text file to create. What helps is breadth and clarity: cover the subtopics people actually ask about, answer each one directly, and keep your pages fast and indexable. Query fan-out then has more of your content to pull from when it splits a question into parts.

Is query fan-out the same as AI Overviews?

They are related but not identical. AI Overviews is the summary that appears above some Google results, while AI Mode is the fuller conversational search experience. Both can use a query fan-out approach, breaking a question into several searches. Google's March 2025 announcement introduced the term with AI Mode. For content owners, the practical advice is the same for both.

Can a page rank low but still appear in an AI answer?

Yes. Query fan-out runs separate searches for each subtopic. So a page that answers one narrow subtopic well can be cited even if it does not rank first for the main term. That is the opportunity in it. A focused, genuinely useful page on a specific question can earn a place in an answer that a broad, shallow competitor misses. Depth on the right subtopic matters more than a single top ranking.

Does query fan-out replace keyword research?

No, it reframes it. You still need to know what people search, but the target widens from one head keyword to the cluster of subtopics and questions around it. Instead of chasing a single phrase, map the whole topic and answer each part. Query fan-out rewards that spread, because it is searching several angles of one question at the same time.

Which AI tools use query fan-out?

Google names it for AI Mode, its conversational search built on a custom version of Gemini. AI Overviews can also break questions into multiple searches. Perplexity's Pro Search, for example, "conducts multiple searches across the web" before writing an answer, even though it does not use Google's term. The general lesson holds across them: broad, well-answered topics are easier for any of these systems to cite.

Write for the whole question, not one keyword

Query fan-out changes the target. Google's AI Mode is no longer matching one query to one page; it is asking several questions at once and assembling the best answers. The way to win is to cover your topic in depth, answer each part clearly, and keep your content easy to read and cite. Do that, and fan-out works in your favor.

Storming Solutions builds custom-coded websites and runs SEO/AEO/GEO for Malaysian businesses from Kuala Lumpur, structuring content so AI search can find and cite it across a whole topic. We would rather help you own a subject than rent one keyword that a single algorithm change can take back.

Want your content ready for AI search? Message us on WhatsApp and we will look at how well you cover your topic.