The New Shape of Search: How Conversational AI Recomposes Information Seeking

The familiar search journey begins with a query and moves outward into documents, while conversational AI is commonly imagined at its start: ask first, then click out. Linking captured prompts and responses to the same panelists' observed searches and pageviews, we reconstruct inactivity-defined sessions across standalone assistant, search, and browsing surfaces. Search-embedded AI is excluded because it appears within the results page. Observed journeys more often run in the opposite direction. Content usually follows search but more often precedes assistant use. Within the same panelist, the paired difference in direction between the two anchors is +20.6 percentage points [19.9, 21.3]. The pattern persists across every coarse destination-domain stratum we observe, though semantic task and task-stage matching remain unresolved, and all headline results replicate in an adjacent month. Search tends to anchor the front of the journey; assistants sit deeper within it. Assistant sessions are also more often self-contained. On a user-weighted basis, 34.1% [33.5, 34.7] of assistant-containing sessions show no observed external web step, versus 19.5% [19.2, 19.8] of search-centered sessions among the same users, a within-user contrast of +13.0 percentage points [12.5, 13.6]. Other assistant sessions are AI-first (10.5%), AI-last (18.3%), or bridge/interleaved (37.1%). We call this recomposition: activity is distributed differently across dialogue, search, and browsing, without implying that assistant use caused the difference. Self-contained does not mean resolved; timestamps alone cannot establish a single task, satisfaction, or completion. The result is a cross-surface topology of the emerging search journey and a discipline for distinguishing observed containment from inferred resolution.

Michael Iannelli, Alan Ai · 2026