Episode

Best way to segment a catalog for AI platforms

Podcast
Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
Published
Apr 8, 2026
Duration seconds
89
Processing state
not_requested
Canonical source
https://pdst.fm/e/rss.art19.com/episodes/a646ccf2-8c18-41e6-9637-0ab21544e627.mp3?rss_browser=BAhJIg90cmFuc2NyaWJyBjoGRVQ%3D--952c5701c84ad333c69d5faa668f8177091704f0
Audio
https://pdst.fm/e/rss.art19.com/episodes/a646ccf2-8c18-41e6-9637-0ab21544e627.mp3?rss_browser=BAhJIg90cmFuc2NyaWJyBjoGRVQ%3D--952c5701c84ad333c69d5faa668f8177091704f0
JSON
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Markdown
/podcast/voices-of-search-a-search-engine-optimization-seo-content-marketing-podcast-754186/best-way-to-segment-a-catalog-for-ai-platforms.md

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Summary

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. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .