Tag: BVAC

Agent-mediated commerce is established and measured on the consumer side. Adobe Analytics recorded generative-AI-referred traffic to US retail sites growing roughly 690% year over year across the 2025 holiday season (Adobe Analytics, 2026); McKinsey estimates conversion from AI-generated product recommendations at about 4.4 times that of traditional search (McKinsey,…

Trust Signal Density is one of six strategic dimensions in the Brand Visibility for Agentic Commerce (BVAC Framework), sitting above the two prerequisites the agent uses to resolve a brand and a product before anything strategic is weighed. It is the dimension that captures whether a brand’s trustworthiness is…

For consumer direct-to-consumer brands, the practical exposure is sharper than the general case. DTC catalogs carry the densest promotional treatment of any category, they are co-listed on marketplaces that compete for the same agent attention, and the consumer agent’s selection behavior has now been measured directly. The Brand Visibility…

A growing share of product research, comparison, and purchasing now runs through an AI agent rather than a person. The agent interprets the request, narrows the field, and returns a small set of purchase-ready options, and the customer chooses from those. This is measurable. Adobe Analytics recorded generative-AI-referred traffic…

A growing share of product research and buying now runs through an AI agent rather than a person. The agent reads the request, narrows the field, and hands back a few options ready to buy. The customer picks from a list someone else built.

Most brands are still optimizing for the wrong reader. The work that earns attention from a human shopper — narrative, design, persuasive merchandising — is largely invisible to the system that now determines whether the brand reaches that shopper at all. The Brand Visibility for Agentic Commerce (BVAC) Framework…