Pick a Topic
Meta Muse vs. Instinct: Putting Personal AI Shopping Agents to the Test
How well do personal AI shopping agents actually work? A hands-on comparison of Meta Muse and Instinct reveals gaps in product knowledge, checkout functionality and the shopping experience, highlighting key challenges brands and retailers must address as agentic commerce evolves.
Agentic Commerce: Shoppers Have AI Agents. Who Represents the Brand?
As personal AI agents transform how consumers discover and buy products, brands need a new way to participate in the shopping journey. Explore how DaVinci Commerce Brand Agent and Product Context Memory help AI agents understand, recommend and connect shoppers with the right products.
Introducing DaVinci Brand Agent™: Making Products Discoverable in the Age of Agentic Commerce
DaVinci Commerce introduces Brand Agent, powered by patent-pending Product Context Memory. As shopping shifts toward AI agents, brands need richer product knowledge that connects features, benefits and consumer needs to help AI agents make better recommendations.
The Rise of Consumer Agents: What Meta Muse Means for the Future of Agentic Commerce
Meta Muse is quickly emerging as a major consumer AI agent, signaling a broader shift in how people discover, evaluate, and buy products. As agentic commerce evolves, brands and retailers need to prepare for a world where consumer agents and brand agents increasingly interact on shoppers’ behalf.
Agentic Commerce Is Growing Fast — But Brands and Retailers Still Aren’t Ready
AI-driven shopping is gaining momentum, but brands and retailers are still struggling to measure its true impact and make products discoverable to LLMs. Key takeaways from Groceryshop and Retail Club reveal why agentic commerce may already be much bigger than current traffic data suggests.
Agentic Commerce: The Race For Agentic Shelf Has Already Begun
Agentic commerce is quickly becoming a real priority for brands and retailers. From AI discoverability and richer product context to vertical agents and connected shopping experiences, the race for the new agentic shelf has already begun.
ChatGPT Ads Will Win on Context, Not Targeting
ChatGPT ads introduce a new model for advertising built around conversational context rather than keywords or audience segments. For brands, success may depend on enriching product data with the use cases and intent signals that help AI match products to real consumer conversations.
ChatGPT Is Moving Away From Reddit Citations: What It Means for Brands and Agentic Commerce
ChatGPT’s sharp decline in Reddit citations signals a shift toward more authoritative sources. For brands, that means investing in richer website content and structured channels like ACP, UCP, and MCP to improve visibility and accuracy across LLM-driven discovery.
Adobe’s Q3 AI Traffic Report: What It Means for Agentic Commerce
Adobe’s Q3 AI traffic report highlights the rapid growth of AI-driven commerce and what brands need to do to prepare for the rise of Agentic Commerce, from improving product discoverability in LLMs to creating better AI-powered consumer experiences.
Why Discoverability Is Critical To Agentic Commerce Success
Agentic Commerce is transforming how consumers discover and purchase products. Brands and retailers must optimize for AI platforms and invest in Product Intelligence to succeed in the future of commerce.
First Movers Win: What Adobe’s Data Tells Us About AI and Commerce
Insights from Adobe show explosive AI-driven commerce growth and how brands that optimize for LLM discoverability can win early market share.
Beyond Universal Cart: Why Agentic Commerce Needs More Than Checkout Rails
Google’s Universal Cart is being called a breakthrough in commerce, but it only solves checkout. Here’s why agentic commerce requires more than rails—and what actually drives the full discovery, experience, and purchase journey.
