Context
Google said AI Mode’s query fan-out can break questions into subtopics and that Deep Search can issue hundreds of searches to produce cited research.
What changed
Search moved toward large-scale, model-orchestrated multi-query research rather than a single query-result cycle.
Why it matters
Topical completeness, subtopic relevance and retrieval across multiple intents become central to AI search visibility.
Visibility OS interpretation
One of the clearest official descriptions of the retrieval architecture behind modern AI Search.
What remains uncertain
No event-specific uncertainty note is recorded yet. This record may change as new evidence is reviewed.
Related historical records
Perplexity introduces Q2D-Web for large-scale retrieval evaluation in agentic RAG
That record related to this event.