Query fan-out is when an AI search tool splits your question into several smaller searches and builds its answer from the pages that answer each one. Google says its AI Overviews and AI Mode may work this way. That means if your official page doesn't answer the narrow question a buyer asks, the AI can quote a Reddit thread instead. Odds are your page skips a few of those questions, and you can find out which ones.
About 17%
Of the sources cited in Google's AI Overviews that also rank in Google's top 10
Google's guide to AI search, updated in July 2026, gives an example. Someone asks "how to fix a lawn that's full of weeds." The AI might also search "best herbicides for lawns," "remove weeds without chemicals," and "how to prevent weeds in lawn."
Google says AI Mode breaks your question into subtopics and runs many searches at once. Its AI Overviews may do the same. The AI writes those smaller searches itself, then looks them up. I wrote about that split between memory and search in how ChatGPT gets its information.
There's research behind the idea, too. A July 2025 paper from the ACL Student Research Workshop tested splitting hard questions into smaller ones before looking them up. Answers got more accurate than with a single standard search. That was a research setup, and no company has said it's how their product works. Still, I'd guess it's part of why the AI tools search this way.
Each of those smaller searches can land on a different page. The page that answers the narrow question gets used, whether it's yours or not.
Why Canva's own page lost to Facebook and Reddit
I first wrote about this in March 2026, after I hit a real workflow problem. Does Canva export true vector SVG files, or does it turn parts of the design into pixel images?
Canva has an SVG editor page. It covers what you can do with the tool. Canva's Help Center has a page on download file types, too. It says SVG "keeps image quality at any size" and that SVG options come with paid plans. Neither page says what happens to a photo or an effect in your design when you export it as an SVG. And that's the thing I needed to know.
Google's AI Overview answered anyway. It pulled from Facebook and Instagram posts and a Reddit thread. The answer those posts gave: text and simple shapes stay as vectors, and more complex pieces get flattened into images inside the file.
There's something kind of absurd about this. The company that makes the product didn't get quoted on how its own product works. Neither page says, so the answer came from people who'd tried it.
When we ran the same question through Google again on October 16, 2026, the top result was a thread in the r/canva subreddit titled "Is there a way to export true vectors?" Facebook groups, Quora and YouTube videos filled out the page. Two Canva pages showed up, and both were about turning a photo into an SVG. That's a different question.
Why forum posts get cited when the official page doesn't say
The narrow question has to be answered by somebody. If the official page skips it, the people who tested it are the only ones left.
Google's guide says first-hand experience can help. Its example: "a first-hand review provides a unique perspective based on personal experience," while a summary just repeats what's already out there. The Facebook and Reddit posts were people saying what happened when they exported a file. That's first-hand.
Google's AI Overviews lean on that kind of source more than the other AI tools BrightEdge studied. BrightEdge looked at citations across five of them and called AI Overviews a "UGC-first engine." About 17.5% of its citations came from user-generated content: videos, forums, community sites and social posts. For ChatGPT, it was 0.5%.
Here's my read: in AI Overviews, ranking helps you get found, but it doesn't decide who gets quoted.
BrightEdge found that only about 17% of the sources cited in AI Overviews also ranked in Google's top 10. That number stayed flat for months. Ahrefs, measuring a different way in March 2026, put it at 38%. Either way, most citations came from pages outside the top 10, even though Google says these AI features are rooted in its core ranking systems.
ChatGPT shows how fan-out plays into this. In AirOps' March 2026 study of 15,000 ChatGPT questions, about a third of the cited pages that ranked in Google's top 20 ranked only for a fan-out search, not for the original question. And 95% of those fan-out searches had no monthly search volume. Your keyword tools won't show them to you.
Does ChatGPT use query fan-out too?
Yes, when it searches. OpenAI says ChatGPT search typically rewrites your question into one or more targeted searches that it sends to its search providers.
Ahrefs also found something that cuts the other way from the Canva story. ChatGPT is asking for official sources more often: the word "official" showed up in 13.1% of its English fan-out searches in September, up from 10.1% in August. And in separate citation data, Ahrefs saw Reddit go from being cited in about 1 in 5 ChatGPT answers in March to about 1 in 43 by late September.
In another Ahrefs test of 20,000 US prompts, fact questions sent more of their citations to official websites than comparison questions did.
Share of ChatGPT citations that went to official websites
Fact questions (price, features, company details)
63.4%
Comparison questions (A vs B, which is cheaper)
46.4%
Ahrefs, How ChatGPT Does Query Fan-Out, October 12, 2026. A separate test of 20,000 US prompts.
So the official page isn't doomed. When the question is a plain fact about you, ChatGPT tends to look for you first. I think that raises the stakes. If ChatGPT checks your site and the answer isn't there, it goes somewhere else.
Your business probably has a Canva question. It's the narrow thing a buyer needs to know right before they decide, and your main page talks around it.
Two made-up examples. An online clothing shop lists the fabric, the cut and the measurements, but never says whether the sizes run small. A tour company lists every stop on the hike, but never says whether the trail works for someone with bad knees. In both cases the answer exists. It's just in a review, a forum or a customer's head.
Here's how I'd find yours:
Read your last month of sales calls, support emails and reviews. Write down the questions people asked right before they bought or walked away.
Search a few of those questions yourself on Google and in ChatGPT. Look at who gets quoted.
If it's a forum, a video or a competitor, you've found a gap.
Answer it on your page, in plain words, near the top of the section it belongs in.
Write that answer so it makes sense on its own. If someone only read that one paragraph, they'd still have their answer.
One thing I wouldn't do is build a new page for every question an AI might search. Google's guide says that making separate content for every variation of a search, mainly to game rankings or AI answers, breaks its scaled content abuse spam policy. One good page that answers the questions your buyers ask is a better use of your time.
Plate Lunch Collective is an AI SEO agency that gets brands named when buyers ask, in search, on social, and in AI. Writing pages so each part answers one question cleanly is what our citation-ready content work is about.
If you'd rather we take a look, the AI Search Game Plan shows where you stand in Google and in AI answers, who comes up instead, and what to do first.
What stays true as the AI tools change
The numbers in this post will move. Ahrefs says its own are a snapshot of one model over two months, and ChatGPT's habits shifted a lot just between March and September.
What I don't expect to change is the basic deal. AI search finds the answer wherever it lives. If that answer is sitting in a Facebook comment thread instead of on your page, that's where the citation goes. So put the answer on your page.
Common questions
What is query fan-out?
Query fan-out is when an AI search tool turns one question into several smaller searches, then builds its answer from the pages that answer each one. Google uses the term for how AI Overviews and AI Mode can work. Google's own example turns "how to fix a lawn that's full of weeds" into searches like "best herbicides for lawns" and "how to prevent weeds in lawn."
Does ChatGPT use query fan-out?
Yes, when it searches the web. OpenAI says ChatGPT rewrites your question into one or more targeted searches. It skips the search for some questions. The numbers are in my post on how ChatGPT gets its information.
Why does AI quote Reddit or a forum instead of my official page?
In my experience, it's often because the forum answers a narrow question your page doesn't. In BrightEdge's study of five AI tools, Google's AI Overviews leaned on user-generated content the most, at about 17.5% of citations, with videos making up much of that. If your page has the answer in plain words, you give the AI something else to quote.
How do I get my page cited by ChatGPT?
Put the facts buyers ask about, like prices, features and how things work, on your own site in plain text, and make sure OpenAI's search crawler, OAI-SearchBot, isn't blocked. Ahrefs found ChatGPT sent about 63% of its citations on fact questions to official websites. My longer checklist is in my post on how to get your business on ChatGPT.
Can I see the fan-out searches Google runs for my topic?
Not directly. Ahrefs notes that Google doesn't show the fan-out searches behind each AI answer. You can get close by searching the questions your buyers ask yourself and noting which pages get quoted.
Should I make a separate page for every fan-out search?
I wouldn't. Google says that making separate content for every variation of how people might search, mainly to manipulate rankings or AI answers, violates its scaled content abuse spam policy. Answer your buyers' questions on the pages where they belong.
Curious how your business looks on Google and in AI answers?
Plate Lunch Collective is an AI SEO agency that gets brands named when buyers ask, in search, on social, and in AI. If you'd like to talk it through, we're easy to reach.
Hayden Bond, in SEO since 2004, founded Plate Lunch Collective, an AI SEO agency that gets brands named when buyers ask, in search, on social, and in AI.