The platform moves beyond standard search engine optimization by analyzing the specific machine-readable signals AI systems use to surface items. By leveraging the SPINS Product Knowledge Graph, the tool connects retail point-of-sale data with AI visibility metrics. This allows companies to identify which content improvements will most effectively increase their presence in AI-generated responses.
SPINS Debuts Agentic Discovery to Navigate AI-Driven Retail
As consumers shift toward AI assistants and conversational search for shopping, brands are losing influence over how their products are recommended. Chicago-based data provider SPINS is addressing this gap with Agentic Discovery, a platform designed to audit how AI interprets product attributes and drives purchasing decisions.
Jessica Wright, SVP of SPINS Foundry, noted that as AI becomes the primary gateway between consumers and brands, companies require more than simple monitoring; they need the ability to influence recommendation outcomes. Unlike general-purpose optimization tools, this solution prioritizes revenue growth by linking visibility to actual consumer intent and category performance. Dan Buckstaff, Chief Product Officer at SPINS, stated that the competitive landscape has shifted from traditional shelves and search engines to AI-mediated recommendations, forcing brands to actively manage how their products are understood by autonomous systems.
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