{"id":321,"date":"2026-10-26T18:26:38","date_gmt":"2026-10-26T18:26:38","guid":{"rendered":"https:\/\/byclaire.co\/blog\/?p=321"},"modified":"2026-10-26T18:26:38","modified_gmt":"2026-10-26T18:26:38","slug":"query-fan-out-how-chatgpt-splits-your-question-into-many-searches","status":"publish","type":"post","link":"https:\/\/byclaire.co\/blog\/query-fan-out-how-chatgpt-splits-your-question-into-many-searches\/","title":{"rendered":"Query Fan-Out: How ChatGPT Splits Your Question Into Many Searches"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Query fan-out is what happens when an AI engine takes your one question, splits it into several narrower searches, runs them in parallel and stitches the results into a single answer. For marketers, that means your page competes for sub-queries nobody typed, which <b>quietly breaks the one-keyword-one-page playbook<\/b>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Google introduced the term at I\/O 2025, and its patent calls it &#8220;query variant generation&#8221;.<\/li>\n\n\n<li>Third-party studies put Google AI Mode at 9\u201311 sub-queries per prompt, ChatGPT near 3.5, Perplexity near 2.2.<\/li>\n\n\n<li>Prompts containing &#8220;list&#8221; averaged 49 generated searches, while &#8220;what is&#8221; prompts averaged roughly 2.<\/li>\n\n\n<li>Blocking OAI-SearchBot removes you from ChatGPT search answers; blocking only GPTBot does not.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">What Query Fan-Out Actually Is: One Prompt, Many Hidden Searches<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Query fan-out is the step where an AI engine splits prompts into smaller searches, fires them at the same time and builds one answer from what comes back. Google put it this way at I\/O 2025: AI Mode &#8220;uses our <b>query fan-out technique<\/b>, breaking down your question into subtopics and issuing a multitude of queries simultaneously on your behalf.&#8221;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here&#8217;s what happens between hitting Enter and seeing the answer:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>The engine receives the prompt.<\/li>\n\n\n<li>It detects the <i>facets<\/i>: separate things the user cares about, like design, price or use case.<\/li>\n\n\n<li>It runs parallel sub-queries per facet, plus unasked angles like reviews, comparisons and specs.<\/li>\n\n\n<li>It aggregates the retrieved passages, writes the answer and attaches citations to the sources it used.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Two real prompts show how far a single question travels. The first example comes from SEO strategist Lily Ray in <a href=\"https:\/\/digiday.com\/media\/wtf-is-query-fan-out-in-googles-ai-mode\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">Digiday<\/a>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A family-of-5 U.S. vacation prompt fans out into &#8220;family-friendly activities&#8221; and &#8220;road trip for families&#8221;.<\/li>\n\n\n<li>&#8220;Comfortable over-ear Bluetooth headphones with long battery life&#8221; splits into design, technology, reviews and comparisons.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">One naming note so you don&#8217;t get tripped up in meetings: &#8220;query fan-out&#8221; is Google&#8217;s public label, but the underlying patent, <b>US11663201B2<\/b>, describes it as <a href=\"https:\/\/searchengineland.com\/guide\/query-fan-out\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">query variant generation with a trained generative model<\/a>. If you want the wider context, here&#8217;s <a href=\"https:\/\/byclaire.co\/blog\/google-ai-mode-what-it-is-how-it-differs-from-ai-overviews-and-how-to-get-cited\/\">how AI Mode differs from AI Overviews<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How Many Sub-Queries Does ChatGPT (and Everyone Else) Actually Fire?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Somewhere <b>between 2 and 11 on average<\/b>, depending on the engine, and vendors keep numbers hidden. Every figure below comes from independent studies with their own methods, so treat them as a spectrum.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><th>Engine<\/th><th>Avg. sub-queries per prompt<\/th><th>Spread<\/th><th>Sample<\/th><th>Data period<\/th><\/tr><tr><td>Google (Gemini 3 API, grounding forced)<\/td><td><b>10.7<\/b><\/td><td>3 to 28<\/td><td>501 prompts via the API<\/td><td>November 2025<\/td><\/tr><tr><td>Google AI Mode<\/td><td>9.06<\/td><td>59% fall between 5 and 11, max 28<\/td><td><a href=\"https:\/\/nectivdigital.com\/blog\/new-research-we-analyzed-60k-google-fan-out-queries\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">60,000+ fan-out queries<\/a><\/td><td>Not stated<\/td><\/tr><tr><td>ChatGPT<\/td><td>3.51<\/td><td>67.3% of prompts trigger multiple queries<\/td><td>102,018 queries from 38,418 prompts<\/td><td>Sept to Nov 2025<\/td><\/tr><tr><td>Perplexity<\/td><td>2.24<\/td><td>70.5% of prompts trigger a single query<\/td><td>Same dataset as ChatGPT<\/td><td>Sept to Nov 2025<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The direction is clear: fan-out is expanding. The 10.7 average on Gemini 3 is 78% higher than the 6.01 measured on Gemini 2.5. In an analysis of 102,018 AI-generated queries, the share of single-query prompts dropped from 65.4% in October to <b>40.8% in November 2025<\/b>. Two caveats keep you honest. The 10.7 figure comes from the Gemini API, not live AI Mode. Perplexity makes up 67% of the 102,018-query sample against a real market share of 6\u20138%. The per-engine patterns still hold up.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For the standalone Gemini app and Microsoft Copilot, there are no separately published figures yet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The number that should shape your budget is stability. Across more than 2 million pairwise comparisons of identical prompts, Perplexity fired the same queries <b>92.8% of the time<\/b>. ChatGPT: 11% overlap.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That gap splits your strategy. On Perplexity, winning the one core query does most of the work. On ChatGPT, you can&#8217;t predict which variant gets searched next time, so broad topical coverage is the only reliable bet.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why ChatGPT Adds Words You Never Typed<\/h2>\n\n\n\n<div data-claire-slot data-claire-post=\"16659651-fbe8-468f-9e77-62c67d14457b\" data-claire-i=\"0\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">ChatGPT adds words because it infers missing signals: freshness, a location, a ranking. The year &#8220;2025&#8221; showed up in 28.1% of generated queries, <b>184 times more often<\/b> than &#8220;2024&#8221;. Location terms and evaluative words like &#8220;best&#8221; (5.9%) and &#8220;top&#8221; (4.6%) were injected too. Someone types &#8220;best project management tools&#8221; and the engine searches &#8220;best project management tools 2025&#8221;.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Prompt wording controls fan-out width. <b>&#8220;List&#8221; prompts average 49.01 queries<\/b>, &#8220;top&#8221; prompts 8.44, &#8220;comparison&#8221; or &#8220;vs&#8221; 5.67, &#8220;best&#8221; 3.71 and &#8220;what is&#8221; just 1.96.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Here&#8217;s what that looks like on a commercial prompt. For &#8220;What are the best GDPR compliance agencies in France?&#8221;, Perplexity ran one search. <b>ChatGPT ran six<\/b>, including &#8220;GDPR consulting services Paris&#8221;, &#8220;GDPR agency France 2025&#8221; and &#8220;data protection expert France&#8221;. A brand that shows up in all six gets six chances to be cited. On Perplexity that coverage advantage barely exists.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So the format question depends on the topic. High-fan-out topics (tools, agencies, anything people ask &#8220;top&#8221; or &#8220;best&#8221; about) reward pages that cover the variants engines inject: comparisons, versus pages, alternatives, current-year information and clear pricing. Low-fan-out topics (&#8220;what is&#8221;, &#8220;why&#8221;, specific facts) reward one tight, authoritative answer that wins the core query. The <a href=\"https:\/\/byclaire.co\/blog\/chatgpt-seo-how-to-get-cited-in-chatgpts-answers\/\">three levers for getting cited in ChatGPT<\/a> build on exactly this split.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Building a Page That Answers Many Sub-Queries at Once<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A fan-out-ready page is one where each section stands alone. Here are the rules to hand your writer, agency or tool:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Open every page and section with the direct answer in the first one or two sentences.<\/li>\n\n\n<li>Make each H2 and H3 self-contained so retrieved passages make sense alone.<\/li>\n\n\n<li>Name entities explicitly: product, brand, location, year. Avoid &#8220;it&#8221; and &#8220;this tool&#8221; at section starts.<\/li>\n\n\n<li>Let facet coverage set length: a page is long enough when every sub-question gets its own clear answer. Add definition blocks near the top and comparison tables for &#8220;best&#8221;, &#8220;top&#8221; or &#8220;vs&#8221; topics, and phrase headings as natural questions including &#8220;which&#8221; and &#8220;how much&#8221;.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">These rules follow how people ask now. In the US, the average AI Mode query is <a href=\"https:\/\/www.searchenginejournal.com\/ai-mode-queries-are-3x-longer-the-case-for-leading-with-the-answer\/585990\/\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><b>three times as long<\/b> as a classic search<\/a>, and &#8220;which&#8221; queries are growing 40% faster than the AI Mode average.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><b>Why your keyword tool stays blank:<\/b> In the same 501-prompt Gemini analysis, 95% of fan-out queries had zero monthly search volume, at an average length of 6.7 words. Standard keyword research simply doesn&#8217;t see them, which is why coverage of facets beats chasing volume here.<\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">The retrieval side of this, meaning how passages get selected and cited, is covered in more depth in these <a href=\"https:\/\/byclaire.co\/blog\/rag-seo-techniques-to-get-content-retrieved-and-cited-by-ai\/\">RAG SEO techniques<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to See Your Own Fan-Out Queries (Free and Paid Options)<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">See real ChatGPT fan-out queries for free with Chrome add-ons, simulate them with Otterly.ai, or track them over time with paid tools like Semrush.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><th>Tool<\/th><th>What it shows<\/th><th>Cost<\/th><th>Best for<\/th><\/tr><tr><td>ChatGPT Search Reasoning and Query Extractor (bookmarklet by Mike Friedman, The SEO Pub)<\/td><td>The actual web searches and reasoning ChatGPT runs for a prompt<\/td><td>Free, Chrome only<\/td><td>Zero-budget spot checks on ChatGPT<\/td><\/tr><tr><td>ChatGPT Search Fan-out Helper (Chrome extension)<\/td><td>Real ChatGPT searches plus URLs, titles and descriptions of the sources found<\/td><td>Free, Chrome only<\/td><td>Seeing which competitor pages get retrieved<\/td><\/tr><tr><td>Otterly.ai Query Fan Out Tool<\/td><td>Simulated expansions for one prompt across Google AI Overviews, Google AI Mode and ChatGPT side by side<\/td><td>Free<\/td><td>Comparing how engines expand the same prompt<\/td><\/tr><tr><td>Semrush AI Visibility Toolkit<\/td><td>Approximate sub-queries and visibility for 25 daily tracked prompts across ChatGPT, Google AI, Gemini and Perplexity<\/td><td><b>About $99\/month per domain<\/b>, billed annually, plus about $60\/month per 50 extra prompts<\/td><td>Ongoing multi-engine tracking<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">A practical zero-budget routine: write down the ten questions your buyers actually ask, run each through ChatGPT with the bookmarklet, and repeat each prompt three times. With only 11% query overlap between identical runs, one pass shows you a sample, <b>three show you the pattern<\/b>. Here&#8217;s <a href=\"https:\/\/www.practicalecommerce.com\/how-to-extract-chatgpts-fan-out-queries\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">how the extraction works step by step<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Perplexity is the easier case, since its queries barely change between runs. The work there is <b>winning that one stable query<\/b>, and these <a href=\"https:\/\/byclaire.co\/blog\/perplexity-seo-how-to-get-cited-in-perplexity-answers\/\">steps to get cited in Perplexity<\/a> cover it. Prices for Otterly&#8217;s paid plans and niche tools like Queryfanout.io or QueryBurst aren&#8217;t public, so ask for a quote before you budget.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The Technical Gate: Can AI Crawlers Even Reach Your Site?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Crawlers need permission to cite your pages. Checking takes about five minutes in your browser:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>GPTBot: OpenAI&#8217;s training crawler. Blocking keeps you out of training but visible in ChatGPT search answers.<\/li>\n\n\n<li>OAI-SearchBot and ChatGPT-User: OpenAI&#8217;s search and citation crawlers. Block these and you disappear from ChatGPT results.<\/li>\n\n\n<li>PerplexityBot: respects robots.txt, so a Disallow rule removes you from Perplexity retrieval.<\/li>\n\n\n<li>Google-Extended: a control token for Gemini training and grounding. Blocking it doesn&#8217;t affect AI Overviews or AI Mode.<\/li>\n\n\n<li>ClaudeBot: Anthropic&#8217;s crawler, worth checking.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">For most commercial sites, keep search and answer crawlers open since they feed live citations. Then run this check:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Open yourdomain.com\/robots.txt in a browser.<\/li>\n\n\n<li>Search for GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, ClaudeBot and Google-Extended.<\/li>\n\n\n<li>Look for &#8220;Disallow: \/&#8221; under each. Any match blocks that engine from your site.<\/li>\n\n\n<li>Fix unwanted rules and wait up to 24 hours for PerplexityBot and OAI-SearchBot to update.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">If you&#8217;d rather have the whole technical side checked for you, Claire&#8217;s free GEO audit reviews a site against <b>70+ points that decide<\/b> whether ChatGPT and other AI systems can find, understand and cite it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Fan-Out Rewards Coverage, Not Just Rank<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Fan-out turns ranking from one contest per keyword into a coverage game per sub-query. That&#8217;s good news for smaller brands: if your page answers more facets of a topic than a bigger competitor who only targets the head term, you can show up in more of the hidden searches and <b>get cited more often<\/b>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Your next step this week costs nothing: <b>run the robots.txt check<\/b>, then put five buyer questions through the free ChatGPT bookmarklet or Otterly&#8217;s tool. What you see there tells you which pages need a comparison block, a definition or a sharper opener before you touch anything else.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQ<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">How does query fan-out relate to Google&#8217;s AI Overviews?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Closely, though Google introduced the term for AI Mode. Tools like Otterly.ai simulate expansions for AI Overviews as well, and both draw on the regular Googlebot index, so the same crawlability and page-structure rules apply to each.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Will optimizing for fan-out hurt my regular Google ranking?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Rarely. Answer-first openers, clear headings and self-contained sections are the same qualities that make a page useful in classic search. The changes add structure to your pages and leave anything Google already rewards intact.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How much smaller is fan-out for local queries?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">About a third of the software level. Across more than 60,000 analysed Google fan-out queries, local prompts averaged 3.79 sub-queries, while software prompts averaged 11.7 and travel 10.8. Local businesses can focus on fewer, sharper answers, while software brands need much broader coverage.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Is schema markup or llms.txt proven to influence fan-out retrieval?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">No. There&#8217;s no published evidence yet that either one changes which passages get retrieved during fan-out. Schema still helps classic search, so keep it, but put your effort into clear, answer-first content first.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Do I need to rewrite my entire content library?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Usually not. Most existing pages can be retrofitted: move the answer to the top, make sections stand alone, name entities and add comparison or definition blocks where the topic calls for them. Full rewrites are only worth it for thin pages.<\/p>\n\n\n\n<div data-claire-slot data-claire-post=\"16659651-fbe8-468f-9e77-62c67d14457b\" data-claire-i=\"1\"><\/div>\n<link rel=\"stylesheet\" href=\"https:\/\/app.byclaire.co\/cta.css\" data-claire-css=\"1\">\n<script src=\"https:\/\/app.byclaire.co\/cta.js\" data-claire-loader async defer><\/script>\n","protected":false},"excerpt":{"rendered":"<p>Query fan-out is what happens when an AI engine takes your one question, splits it into several narrower searches, runs them in parallel and stitches the\u2026<\/p>\n","protected":false},"author":1,"featured_media":320,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[131],"tags":[],"class_list":["post-321","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized-en"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Query Fan-Out: How ChatGPT Splits Your Question Into Many Searches - 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