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Retailers must quickly adapt to the rise of AI shopping agents, which demand richer product data for optimal discovery and visibility. Adapting catalogs and mastering agent-ready formats are now essential as agents re-architect how customers discover and select products.
[Note: Article behind free paywall.]
Key Takeaways
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Product data quality is crucial: AI agents demand cleaner catalogs; missing metadata and inconsistencies can eliminate retailers from consideration.
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Discovery shifts offsite: Agents often select products outside retailers’ own platforms, reducing direct visibility into customer behavior and increasing the need for external optimization.
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Experimentation leads the way: Retailers should test across platforms, refine product data for agents, and adopt flexible strategies as agent-driven commerce evolves.
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