DaVinci Commerce Launches Agentic BrandStore to Bridge AI and Retail

The transition from traditional search engines to large language models has left many brands struggling with discoverability. While standard product listings focus on technical specifications and names, AI agents require a deeper understanding of consumer intent and usage context to surface relevant items. According to Adobe Analytics, traffic from AI sources to U.S. retail sites surged 393% year over year in the first quarter of 2026, with conversion rates significantly outperforming non-AI traffic.

DaVinci Commerce addresses this gap through its new Content Enrichment Engine, which uses a swarm of agents to process reviews, social media sentiment, and real-time query data into conversational metadata. This engine feeds into two primary channels: a discovery layer that updates ACP, UCP, and GEO feeds for LLM platforms, and an Answer Agent that powers branded storefronts. By storing proprietary CRM and personalization data within the DaVinci platform, brands can facilitate complex, context-aware shopping experiences without exposing sensitive datasets to third-party models. The platform, available now, supports multi-LLM integration, automated compliance checks, and a no-code studio designed to launch storefronts in under a month.