About This Site
Uncovers the hidden sub-queries LLMs use to find and cite web sources. Query Fan-Out Tool is a specialized research platform developed by New Chemistry that uncovers the hidden sub-queries AI models like ChatGPT, Claude, and Perplexity use when searching the web. When a user enters a prompt, the tool replicates the 'fan-out' process—breaking the initial prompt into multiple related searches that LLMs run in parallel to find sources. By revealing these sub-queries and their priority scores, the tool helps users understand which specific terms they need to rank for to be cited in AI-generated answers, moving beyond traditional SEO into Generative Engine Optimization (GEO).
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Key Features AI
Core Features
Query fan-out visualization
Sub-query priority scoring
Real-time citation mapping
Canonical AI answer fetching
Industry-specific disambiguation insights
Advantages
Provides transparency into black-box AI search behavior
Actionable scenarios for different ranking levels
Uses real-world methodology based on Google patents
Helps identify low-competition keywords ignored by traditional tools
缺点：Full reports require email sign-up
缺点：Results are directional as different LLMs fan out differently
缺点：Requires external tools (like Semrush) for full keyword tracking
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