# ChatGPT's Query Fan-Outs Just Doubled. Here's Why That Chan… > Peec AI analyzed 20 million ChatGPT query fan-outs and found the average word count doubled in four months. For brands trying to get cited by AI, this is the… Canonical URL: https://cite.solutions/blog/chatgpt-query-fanouts-doubled Source: Cite Solutions (cite.solutions) Published: 2026-03-29 --- [Research](/category/research)6 min read # ChatGPT's Query Fan-Outs Just Doubled. Here's Why That Changes Everything. [Subia PeerzadaFounder, Cite Solutions · March 29, 2026](https://www.linkedin.com/in/subia-peerzada-75025764/) Key takeaways ## Key takeaways for multi-platform AI visibility Optimize for the surface-specific answer flow, but keep one consistent source-quality standard. 1. 01Build content that can survive follow-up questions, not just the first query. 2. 02Create pages with clear buyer-fit language, comparisons, and constraints that models can reuse. 3. 03Measure source appearance and recommendation behavior by platform instead of relying on classic rankings alone. ## What happened ChatGPT changed how it searches the web, and most brands haven't noticed yet. [Peec AI](https://peec.ai/blog/country-analysis-20-million-search-qfos) analyzed 20 million query fan-outs (QFOs) between October 2025 and January 2026\. The finding: the average word count per fan-out roughly doubled, from about 6 words to about 12, with some weeks peaking at 16 words. That sounds like a technical footnote. It isn't. For anyone working on [Generative Engine Optimization (GEO)](/blog/what-is-generative-engine-optimization), this is one of the most significant shifts in how ChatGPT retrieves and cites content. ## What's a query fan-out, and why should you care? When someone asks ChatGPT a question, it doesn't just pass the raw prompt to a search engine. It breaks the question apart into multiple search queries (fan-outs) each designed to pull a specific piece of information. A prompt like "What's the best CRM for a 50-person B2B company?" might generate queries like: How query fanout works User prompt "What is the best CRM for a 50-person B2B company?" query fanout Q1best CRM tools B2B mid-market 2026 Q2CRM comparison 50 person company pricing Q3B2B CRM reviews pipeline management Q4CRM Slack integration enterprise Q5project management CRM features remote teams AI synthesizes answer from retrieved sources * •"best CRM tools B2B mid-market 2026" * •"CRM comparison 50 person company features pricing" * •"B2B CRM reviews enterprise vs SMB" Each of those fan-outs retrieves different sources. The sources that get retrieved are the ones that get cited in the final answer. ChatGPT query fan-out word count Average words per fan-out query, Oct 2025 to Jan 2026 \~6Oct \~9Nov \~11Dec \~12Jan Source: Peec AI, 20M fan-outs analyzed2x increase in 4 months ## Why the doubling matters Here's the shift: when fan-outs were 6 words, they were broad. "Best CRM tools 2026." Lots of generic content matched that query. Your standard listicle had a shot. At 12+ words, the queries are specific. "Mid-market B2B CRM comparison pipeline management integration pricing." Generic content doesn't match anymore. The AI is looking for content that answers precise sub-questions. This creates two distinct effects: **Winners:** Brands with detailed, specific content like comparison pages with actual feature breakdowns, pricing data, use-case analysis. They are getting cited more because they match these longer, more precise queries. **Losers:** Brands relying on broad "Best X tools" listicles are losing citations because the queries have gotten too specific for generic content to match. ## The trend is global Peec AI's analysis looked at five countries: Germany, UK, Singapore, Thailand, and the US. The doubling trend was virtually identical across all of them, regardless of language. German compound words, Thai script, English. Same pattern everywhere. This isn't a regional algorithm tweak. It's a fundamental change in how ChatGPT processes user intent. ## Another interesting finding: ChatGPT searches in English Even when users ask questions in other languages, ChatGPT [frequently generates English-language fan-outs](https://peec.ai/blog/chatgpt-searches-in-english-even-when-you-don-t). A German user asking about CRM tools in German gets English search queries behind the scenes. For international brands, this means English-language content gets cited globally, not just in English-speaking markets. Your English comparison page might be getting cited to users in Tokyo, Berlin, and Sao Paulo. ## What this means for your AI visibility strategy Three things to act on right now: **1\. Get specific or get invisible.** Broad, high-level content is losing ground fast. Every key page on your site needs to answer specific sub-questions. Pricing for particular company sizes, feature comparisons for specific use cases, integration details for particular tech stacks. **2\. Think in passages, not pages.** ChatGPT retrieves at the passage level. A 40-60 word block that directly answers a specific question is more valuable than a 3,000-word article that vaguely covers the same topic. Our guide on [how passages beat pages for AI citation](/blog/passages-beat-pages-how-to-structure-content-for-ai-citation) covers how to structure your content so each section is a self-contained answer. **3\. English content has global reach.** If you're only creating localized content for non-English markets, you're missing citations. AI models are pulling English sources for non-English queries. Make sure your core content exists in English, even if you also publish in other languages. ### Is your content specific enough for ChatGPT's new queries? We'll run your brand through ChatGPT's fan-out queries and show you exactly where you're getting cited, and where you're getting skipped. [See Your Fan-Out Coverage](/contact) ## The number of fan-outs stayed flat One detail worth noting from Peec AI's data: while the word count per fan-out doubled, the number of fan-outs per prompt stayed roughly constant. ChatGPT isn't issuing more searches. It's making each search more precise. This is the AI getting better at understanding what users actually want. And it means the bar for "good enough to get cited" just went up. Knowing [how to select the right prompts for LLM tracking](/blog/how-to-select-prompts-for-llm-tracking) becomes even more important when each fan-out is this precise. ## What we're watching next Query fan-outs are one of the few observable signals in AI search. For a broader look at [how to optimize for ChatGPT search](/blog/how-to-optimize-for-chatgpt-search), we cover the full platform-specific playbook. We'll be tracking whether this trend continues, whether other models (Gemini, Perplexity, Claude) show similar patterns, and what content types perform best against longer, more specific queries. ### Your competitors might already be winning these specific queries ChatGPT just raised the bar. Find out if your content makes the cut, or if you're losing citations to brands with better passage-level answers. [Get Your AI Visibility Audit](/contact) Tags [query fan-outs](/tag/query-fan-outs)[ChatGPT](/tag/chatgpt)[GEO](/tag/geo)[AI visibility](/tag/ai-visibility) ## Continue the brief [01ResearchWhat Does ChatGPT Actually Search For?ChatGPT rewrites your question before it searches, injecting words like best, review, and 2026\. Here is the data and how to match it.Jun 8, 2026Read→](/blog/what-does-chatgpt-actually-search-for)[02ResearchWhy ChatGPT Cites 5 Sources but Claude Cites 13Muck Rack analyzed 25M links across ChatGPT, Claude, Gemini. Citation rates: 96%, 55%, 82%. Source counts: 5, 13, 8\. Each platform retrieves differently.May 9, 2026Read→](/blog/chatgpt-claude-gemini-citation-density-gap)[03ResearchAI Citations Expire Faster Than You Think. Here's the Data.Scrunch and Stacker analyzed 3.5 million citation events across AI platforms. The average AI citation loses half its visibility in just 4.5 weeks. ChatGPT is even faster at 3.4 weeks. Here's what that means for your GEO and AEO strategy.Mar 30, 2026Read→](/blog/half-life-of-ai-citations) [FrameworkLearn the CITE framework behind our GEO and AEO workSee how Comprehend, Influence, Track, and Evolve turn AI visibility into an operating system.](/framework)[ServicesExplore our managed GEO services and AEO execution modelAudit, prompt discovery, content execution, and ongoing monitoring tied to AI search outcomes.](/services)[AuditStart with an AI visibility audit before executionUnderstand prompt coverage, recommendation gaps, source mix, and where competitors are winning.](/ai-visibility-audit) On this page On this page ## Work with us on this [GEO AgencyManaged generative engine optimization for B2B brands.Explore→](/geo-agency)[LLM SEOGet cited by ChatGPT, Gemini, Claude, and Perplexity.Explore→](/llm-seo)[AI Visibility AuditMeasure how AI engines cite and recommend you today.Explore→](/ai-visibility-audit) ## Ready to become the answer AI gives? Book a 30-minute discovery call. We'll show you what AI says about your brand today. No pitch. Just data. [Book a Discovery Call](/contact)