How to Use the Fan-Out Queries Heatmap in AmICited

When an AI engine answers a question, it quietly breaks it into many fan-out queries — smaller sub-questions it researches to build its answer. The Fan-out queries heatmap shows those sub-queries and how well each cited domain covers them, so you know exactly what your content must address to win the citation.

Where to find it

Scroll down the prompt detail page to Fan-out queries, subtitled “The sub-queries generative engines derive from this prompt — optimize your content for these to win citations.”

How to read the matrix

• Rows are sub-queries — the fan-out questions, each tagged by type (Definitional, Comparison, Geographic, Pricing, Procedural, and so on). The starred (★) top row is the main prompt.
• Columns are domains — the sites being cited, ordered left-to-right by their average citation position across all engines (the domains cited highest and most consistently come first).
• Cell darkness = closeness. Darker cells mean that domain’s best page sits closer to that sub-query; lighter cells mean weaker coverage.
• Each column header shows a number — the count of cited URLs from that domain.

Together, dark columns mark the domains dominating this topic, and dark rows mark the sub-queries everyone is answering well.

How to use it

1. Find under-served rows. Sub-queries where most columns are light are gaps — questions no one covers strongly yet, and your easiest way in.
2. Match the leaders’ coverage. For the top sub-queries, see which domains are dark and study those pages.
3. Build one strong page. Aim to cover the top fan-out queries in a single, well-structured page rather than scattering them.
4. Regenerate after big content changes to see the matrix shift.

To start monitoring these sub-queries as prompts in their own right, use Track all prompts .