Query Fan-Out Generator

Query fan-out is what AI assistants do internally when answering: they expand one user question into several related sub-queries, gather material for each, and synthesize a single answer. ChatGPT search, Perplexity and Google AI Overviews all work this way, which is why one visible question can trigger a dozen hidden searches.

The VisibAI Query Fan-Out Generator takes one seed query of up to 200 characters and generates 8 to 15 sub-queries of the kind an AI assistant would derive from it: reformulations, comparisons, reputation checks, pricing and feature questions, and decision-making angles. It uses the same prompt shape the VisibAI audit engine uses to simulate fan-out.

Each generated sub-query is a question a page could answer explicitly. A page that answers the comparison, reputation and pricing sub-queries around a topic is more likely to be drawn into an AI assistant synthesized answer than a page that only answers the seed question, so writers use the list as a content brief.

No. Assistants do not publish their internal fan-out, so the exact sub-queries are not observable from outside. The VisibAI generator produces realistic sub-queries with the same intent mix; treat them as a representative sample of the question space, not a transcript.

The VisibAI Query Fan-Out Generator calls a paid language model on every run, so it is rate limited per visitor and rejects requests when its rate-limit store cannot be reached. Seeds that are empty, longer than 200 characters, or too vague to expand can also fail. Rephrasing the seed as one concrete question usually fixes it.

No. Covering the fan-out improves the odds that an assistant finds usable material on a site, but assistants also weigh authority, freshness and mentions on other sites. The full VisibAI audit measures the outcome directly: it asks the assistants real questions and records whether the brand is named.