Spins in September launched Spins Agentic Discovery, a new platform designed to help CPG brands improve their visibility in AI-driven shopping results as AI product discovery becomes a major competitive battleground.
How Spins positions products for AI product discovery
Spins says Agentic Discovery guides brands by showing how products appear in AI-generated suggestions and by highlighting the “machine-readable attributes, credible evidence and contextual signals” that AI systems use to decide which products to surface and recommend. The company uses its large datasets of product information and plots that information in a proprietary knowledge graph, ensuring that products are “understood, surfaced and recommended as intended,” according to a press release.
Combining shopper intent with Spins data
Spins positions the new platform as a way to pair shopper intent with the company’s product, category and performance data. Jessica Wright, SVP of Spins Foundry—the company’s data platform for agents and applications—said, “Agentic Discovery combines AI visibility intelligence with the product, category and performance data Spins is known for, helping brands turn AI-powered discovery into measurable growth.”
Why brands need to act
Spins Chief Product Officer Dan Buckstaff called AI-mediated search “the biggest story in the market today” and said it is “radically transforming how consumers find products.” He added, “If you’re working in Google Gemini, if you’re working in ChatGPT, if you’re working on the Walmart or Amazon sites, increasingly people are using these tools to search for what they need.” Agentic Discovery, he said, “helps them understand how AI systems interpret and recommend their products, then prioritizes the actions most likely to improve visibility, accelerate conversion, and grow market share.”
Buckstaff illustrated the shift with a consumer example: “They’re just going to say, ‘My kids are hungry when I pick them up. I want them to eat healthy foods. What are some snacks that I can feed them so I can survive until dinner?'” He noted consumers might add preferences such as wanting “some kind of energy bar.” “Engines that sit below ChatGPT, or Claude, or Perplexity … they look across all the product data that they’re able to assemble and say, ‘Here are what we think are recommendations,'” he said.
Data and market signals
Buckstaff said “there’s data out there that almost three-quarters of all shoppers are now beginning their searches with AI,” citing shifts in use for meal planning and dietary changes. He also argued that with “the proper product data, the number of recommendations that flow through from a ChatGPT or a Perplexity spike very quickly because these models find that data.”
