Best way to segment a catalog for AI platforms

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• Part 1Using SEO principles to optimize product feed visibility

  E-commerce brands waste billions on unfocused product feeds sent to AI platforms. Katie Moro, Director of Managed Services at Productsup, manages 2.2 trillion products monthly and previously served as a Google Shopping specialist, delivering measurable results for enterprise retailers navigating AI-driven commerce transformation. The discussion covers structured data readiness frameworks for agentic commerce platforms, KPI-driven catalog segmentation strategies that prevent the "send everything" trap, and household-level persona targeting methodologies that account for multi-device influence patterns within purchasing units.

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• Part 2The biggest mistake brands make when they try to be “AI commerce ready”

  E-commerce brands waste millions exposing entire product catalogs to AI platforms. Katie Moro, Director of Managed Services at Productsup, manages 2.2 trillion products monthly and reveals how strategic catalog segmentation drives measurable AI commerce results. The discussion covers KPI-driven product prioritization frameworks, persona-based catalog segmentation strategies, and structured data optimization for agentic commerce platforms.

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  Part 3Best way to segment a catalog for AI platforms

  AI platforms require strategic catalog segmentation to maximize performance outcomes. Katie Moro, Director of Managed Services at Productsup, shares her KPI-driven approach to product feed optimization that has proven effective across enterprise e-commerce implementations. She outlines a framework for aligning catalog segments with specific business objectives—whether prioritizing revenue-driving SKUs, new customer acquisition through fresh inventory, or traffic generation via high-engagement products. Moro emphasizes the critical importance of granular segmentation strategies that scale with measurable growth targets.

• Part 4The surprising thing about how AI is changing product discovery

  AI agents are reshaping product discovery for 2.2 trillion monthly products. Katie Moro, Director of Managed Services at Productsup, brings 15 years of e-commerce optimization experience from Channel Intelligence to Google Merchant Center to scaling enterprise product data strategies. She reveals the critical readiness KPI framework for AI commerce platforms, explains why exposing entire catalogs creates measurement chaos, and demonstrates how structured persona-based segmentation drives measurable results at the SKU level.

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• Part 5One metric every ecommerce team should stop using

  E-commerce teams waste resources tracking 300 million product variants when only top performers drive revenue. Katie Moro, Director of Managed Services at Productsup, has optimized 2.2 trillion products monthly for enterprise retailers navigating AI-driven commerce transformation. She reveals why brands must segment catalogs by KPIs rather than exposing entire inventories, demonstrates the readiness framework for agentic commerce platforms, and explains how structured product data with persona-based attributes creates competitive advantage in AI discovery channels.

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