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Guides, case studies, and insights to help you grow with AI retail media and agentic commerce.
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Insights
Trends in retail media and agentic commerce.
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Product feed optimization
Product feed optimization is the work of improving the product-language record (titles, attributes, descriptions and taxonomy) that Google Shopping, Meta Advantage+, onsite search and AI assistants all read before deciding whether to show your product.
7 posts · 5 case studies
Explore the topicProduct data: attributes, taxonomy and enrichment
Product data is the structured record of attributes, taxonomy and enriched descriptions that makes a catalog legible to the search engines, ad platforms and AI agents that decide what shoppers see.
13 posts · 5 case studies
Explore the topicAI discovery and agentic commerce
AI discovery and agentic commerce cover the surfaces where an AI assistant or agent, rather than a person, reads product data to decide which products to recommend, compare or buy.
7 posts · 2 case studies
Explore the topicProof: controlled tests and case studies
Proof means measured lift against a control: matched-spend A/B tests and holdouts that separate what a change to product data caused from what would have happened anyway.
3 posts · 16 case studies
Explore the topic
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