Understand how AI engines break buyer prompts into sub-queries. Map the full query fan-out graph to maximize brand citations across Perplexity, ChatGPT, and Google AI Overviews.
Query Fan-Out is the process where an AI engine, such as Perplexity or Google AI Overviews, breaks a user's single query into multiple synthetic sub-queries, retrieves passages for each, and synthesizes a single response.
A brand can rank well for the main keyword and still lose AI recommendations if it is absent from the sub-queries the AI runs — pricing, integrations, security, use cases — because the AI synthesizes a competitor that covers them.
Astiva reconstructs the sub-query graph for a seed prompt by analyzing retrieval logs, search API calls, and LLM reasoning steps across the tracked AI platforms.
Yes. Adding fan-out sub-queries as H2/H3 subheadings and FAQ sections in existing articles is a fast way to raise AI citation rates without creating new pages.
Yes. A free interactive Query Fan-Out Generator is available at astiva.ai/tools/query-fanout-generator.