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What Is Query Fanout?
Query fanout is the process where AI search engines decompose a single user prompt into multiple specialised sub-queries, run them simultaneously, and synthesise the results into a single coherent answer. Instead of matching your words to a page, the AI conducts many parallel searches and combines what it finds.
Built for B2B SaaS SEO and GEO teams
This is for practitioners who understand AI search and want to build content that gets cited in AI-generated answers — not a beginner keyword research tool.
SEO Leads
Map the full sub-query universe your content needs to cover
Traditional keyword research shows you what people type. Query fanout shows you what AI systems generate internally. Use this to audit content cluster gaps and brief new pages that close them before competitors do.
Content Strategists
Brief content that earns AI citations, not just Google rankings
A Surfer SEO study (December 2025, 173,902 URLs) found 68% of AI Overview citations came from pages NOT in the top 10 organic results. Fanout analysis identifies which sub-queries your content must answer to be cited.
Growth & GEO Teams
Understand how each AI platform retrieves content in your category
ChatGPT, Perplexity, Google AI Mode, Gemini, and Claude each have distinct fanout patterns confirmed by published research. The model selector lets you see how each platform decomposes your most important queries differently.
How each AI platform fans out queries differently
Published research confirms each platform has a distinct fanout strategy. Here's what the data actually shows — and what it means for your content.
ChatGPT Search
31% of prompts trigger a web search. For Software queries, ChatGPT averages nearly 3 searches per query. Its most common search-trigger terms are "reviews", "2025", "free", "features", and "comparison", and sub-queries average 5-6 words each. Include commercial modifiers and current year signals in headings.
Perplexity
Perplexity's fanout emphasises citation density and source diversity, typically citing 3-8 sources per response. It strongly favours recently published content across multiple source types simultaneously. Publish with explicit dates, update content regularly, and distribute across multiple source types.
Google AI Mode & AI Overviews
Google named query fanout at Google I/O 2025. AI Mode generates 8-12 sub-queries for standard queries using a custom Gemini model, and uses passage-level retrieval — evaluating specific sections of your content, not the page as a whole. Structure content with clear, self-contained sections.
Gemini
Research on Gemini 3 found it averages 10.7 fan-out queries per prompt, with some prompts spawning up to 28 sub-queries. Its fanout includes brand names in 26.4% of queries and year references in 21.3%, and is notably comparison-heavy. Include comparison content, current-year signals, and brand entity mentions.
Claude (Anthropic)
Claude's web search backend is Brave Search, with an 86.7% citation overlap between Claude's responses and Brave's top results. Claude strongly favours verifiable claims and primary sources. Write with explicit source attribution inline and include visible publish dates.
Map each query type to a content action
Every competitor generates fan-out queries and stops. We show you what to do with them — the 4 highest-value types for B2B SaaS content teams.
EQUIVALENT
Alternative phrasings of the same intent
Target with alternate-phrasing FAQs and meta descriptions. Ensure your key pages rank for all variations — not just your preferred terminology.
FOLLOW-UP
Logical next questions after the original query
These are your supporting cluster blog posts and documentation articles. Each follow-up query is a content brief waiting to be written.
GENERALISATION
Broader, category-level versions of the query
Map to your pillar pages and hub content. These are the top-of-funnel queries that establish topical authority for the whole cluster.
SPECIFICATION
Narrowly focused, high-intent versions
The highest-value queries for B2B SaaS. Specific, long-tail, high-intent. Map to targeted landing pages and conversion-focused content.
