Query Fan-Out Optimizer is a specialized research platform built by New Chemistry that uncovers the hidden sub-queries AI models like ChatGPT, Claude, and Perplexity use when searching the web. Instead of guessing how AI assistants find their sources, you can see exactly what happens behind the scenes.
When a user enters a prompt, the tool replicates the 'fan-out' process—breaking that initial prompt into multiple related searches that LLMs run in parallel to find sources. This mirrors how AI-powered search actually works, giving you a clear window into a process that is normally invisible.
By revealing these sub-queries and their priority scores, Query Fan-Out Optimizer helps you understand which specific terms you need to rank for to be cited in AI-generated answers. It is a practical way to move beyond traditional SEO into Generative Engine Optimization (GEO), so your content stands a better chance of being picked up when AI answers questions in your field.

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