Query Fan-Out Tool shows the fan-out, cited sources, and a priority score for each sub-query that an AI model would generate from a given prompt.
Query Fan-Out Tool analyzes prompts to reveal how an AI like ChatGPT, Claude, or Perplexity fans-out a prompt into sub-queries and live web searches. It surfaces the sub-queries, classifies them by category and intent, and shows the sources that would be cited, helping users understand what the model is really looking for.
The tool builds a playbook from the fan-out, offering verdicts on each sub-query that indicate whether to build, watch, or skip content, and provides guidance on how to act based on ranking and term competitiveness.
Results include live web results for each sub-query, with cited sources and domain-level context, enabling users to see which pages influence the AI’s answer and where to insert themselves.
The workflow begins with pasting a prompt, mapping the fan-out, scoring sub-queries, and delivering a synthesized answer, all in a process designed to run quickly and surface actionable insights.
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