Fan-out breaks the assumption that one query maps to one result set. A buyer asks a broad question, and Google answers it by resolving a hidden fan of narrower questions, each pulling its own sources. The brand that appears in the final answer
Ambika Sharma
Founder at Pulp Strategy Communications and NeuroRank.
Query fan-out expands one question into many sub-queries before composing a single answer.
Visibility is decided across the whole sub-query set, not the one visible question.
Most AI Mode citations come from outside the classic top 10 (Moz, 2026).
Top-10 and AI Overview source overlap fell from 76 percent to 38 percent (Ahrefs, 2026).
When an AI summary appears, people click a traditional result only 8 percent of the time (Pew, 2025).
A brand’s own site is only 5 to 10 percent of what these systems read (McKinsey, 2025).
NeuroRank measures brand presence across the fan-out, per sub-query and per region.
Definition. Query fan-out is the process by which Google AI search rewrites one question into several related sub-queries, retrieves sources for each, and merges them into a single
A look at the Pages
Written for the people accountable for how the brand is represented when a customer asks an assistant.
Brand tracking in AI is the practice of monitoring how AI models describe and recommend a brand, the narrative they assemble from the sources they read,
Brand tracking in AI is the practice of monitoring how AI models describe and recommend a brand, the narrative they assemble from the sources they read,
Brand tracking in AI is the practice of monitoring how AI models describe and recommend a brand, the narrative they assemble from the sources they read,
Ambika Sharma
Founder at Pulp Strategy Communications and NeuroRank.
Ambika Sharma
Founder at Pulp Strategy Communications and NeuroRank.
Ambika Sharma
Founder at Pulp Strategy Communications and NeuroRank.