Salesforce says agentic search is up 200% as shoppers start in AI chat on July 28, 2026
Salesforce says shopper journeys are now starting in AI chat 200% more often year over year, and it put a date on it: July 28, 2026. In its commerce update, the company framed “agentic search” in chats as the new first step before traditional on‑site search, pointing to rapidly rising discovery and consideration inside conversational interfaces rather than the search bar on a brand’s site.
Salesforce highlights a 200% surge in agentic search as the first step of shopping
Salesforce’s commerce newsroom post sets the headline claim: a 200% year‑over‑year jump in purchase journeys that begin in AI chat, positioning agentic search as the funnel’s entry point on July 28, 2026. The same figure appears in the company’s retail outlook, which notes “consumer reliance on AI assistants as the first stop in the shopping journey grew 200% from May 2025 to May 2026,” reinforcing the directional move away from keyword boxes toward conversational discovery in Salesforce’s stack of Agentforce Commerce, Shopper Agent and intent‑aware search (Shopping’s New First Step, 2026 holiday predictions).
Independent data points show AI chat taking over early‑journey research
Outside Salesforce’s channels, third‑party indicators point the same way. G2’s 2026 AI Search Insight Report describes a bifurcated buyer journey where “start research with AI search more often than Google” becomes common, with commercial‑intent prompts now routine in chat sessions-evidence that upstream discovery is shifting into conversational tools (G2’s 2026 AI Search Insight Report). Academic work also places chat alongside, and often interleaved with, classic search at the start of shopping: an analysis of platform AI assistants finds chat appears in the same broad phase as traditional search and users move back and forth between the two, consistent with Salesforce’s 200% adoption signal (Shopping with a platform AI assistant).
What this means for Salesforce Commerce and retail search budgets
In practice, a 200% lift in chat‑first journeys changes where budgets convert into revenue. Retailers running Salesforce B2C Commerce should treat agentic entry points-ChatGPT, Gemini’s AI Mode, and site‑embedded agents-as performance channels, not experiments. The near‑term work is pragmatic: tighten product knowledge and governance so agent answers match live catalog, expose availability and pricing through governed APIs, and let the small language model behind Agentic Commerce Search resolve intent without brittle rule stacks. One limitation to watch is attribution: last‑click web analytics will undercount revenue initiated in chat unless you tag and capture inbound agent referrals consistently.
Immediate implications for merchandising, content, and analytics on Salesforce
What typically happens after a shift like this is search and merchandising teams keep optimizing on‑site queries while a growing slice of demand forms in external chats they don’t instrument. The fix is operational. Merchandising needs canonically structured product copy, spec tables, and compatibility notes that agents can ground on; content teams should align FAQ and how‑to pages with the questions shoppers ask in chat; analytics leaders should add campaign‑level tracking for agentic referrers so Data Cloud can stitch journeys that start in AI chat and convert later on site. Expect ranking dynamics to change too: intent‑aware agents reward clear, disambiguated attributes and trustworthy fulfillment data more than keyword‑stuffed titles.
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