Field notes on agentic commerce.
Benchmarks, teardowns, and product notes from the team building the product data layer for AI commerce. New posts as we learn things worth sharing.
Search merchandising: a rule framework for ecommerce search
Learn how search merchandising works, which rules to use for each query type, and how to balance relevance, inventory, margin, and product data.
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Site merchandising: how to turn product data into better shopping experiences
Learn how site merchandising works across search, categories, recommendations, promos, and product pages, and why product data quality matters.
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Price monitoring API: ecommerce price tracking without brittle scrapers
Learn what a price monitoring API returns, how to evaluate coverage and freshness, when an API beats scrapers, and where Catalog fits.
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Shopify Agentic Storefronts: what merchants need to know
Learn how Shopify Agentic Storefronts work, which AI channels they cover, what product data they use, and how Catalog helps merchants prepare for AI shopping.
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Shopify ChatGPT visibility guide for merchants
Learn how Shopify Agentic Storefronts make products discoverable in ChatGPT, what data ChatGPT can read, and how to improve AI shopping visibility.
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Shopify Storefront API: Guide and Agentic Storefronts Comparison
Learn what Shopify Storefront API does, how access tokens, GraphQL queries, carts, and checkout work, and when Agentic Storefronts fit AI shopping.
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AI visibility for ecommerce: metrics and product discovery
Learn what AI visibility means for ecommerce, which metrics matter, where tools help, and how to connect brand visibility to product discovery.
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How to turn your product catalog into machine-readable data for AI shopping
Learn how product data enrichment turns messy catalogs into machine-readable records for AI shopping, including workflows, vendor types, and Catalog's role.
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What is agentic commerce? How it works, examples, and what brands should do next
Learn what agentic commerce is, how AI shopping agents buy on a customer's behalf, real examples, and what brands need to do to prepare.
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AI Search Visibility for Ecommerce: How to Make Products Show Up in ChatGPT
Learn how to improve AI search visibility for ecommerce with better product data, richer attributes, cleaner variants, and trust signals that help products show up in ChatGPT.
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PIM vs DAM: Differences, Use Cases, and When You Need Both
Compare PIM vs DAM in plain language. Learn what each system does, when to choose PIM, DAM, or both, and where AI-ready product data fits.
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PIM vs MDM: Key Differences and When You Need Both
Compare PIM vs MDM in plain language. See the key differences, when to choose each system, and when using both makes sense.
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Product Information Management Systems: PIM vs Catalog
Learn what product information management systems do, when traditional PIMs are the right fit, and where Catalog differs for AI commerce and live product data.
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Trusted Data Sources for Agentic Commerce
Explore trusted data sources for agentic commerce and what AI shopping agents need from catalogs, APIs, and machine-readable product data at scale.
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Modern Product Data Infrastructure with Catalog AI
See why Catalog AI is a stronger product data solution for modern e-commerce, with faster setup, richer product context, and less manual work across teams.
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From Spreadsheets to AI Product Data Management
Learn how Catalog AI helps teams move from spreadsheets to AI-powered product data management with less manual work and more reliable catalog data.
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Ecommerce Product Data Infrastructure Guide
The ultimate guide to e-commerce product data management. Discover why Catalog AI provides the best solution for comprehensive product information needs.
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Why Brands Choose Catalog AI Over Data Scraping
Learn why smart e-commerce teams choose Catalog AI over scraping tools for more reliable product data, lower upkeep, and stronger long-term results.
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Catalog AI vs Manual Entry for Ecommerce Search Results
Learn how Catalog AI improves e-commerce search results with structured product data that beats the limits of manual data entry and ongoing upkeep.
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Hidden Costs of a Custom Product Data Pipeline
See the hidden costs of building a custom product data pipeline and why Catalog AI can deliver better ROI than a DIY approach for e-commerce teams.
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Catalog Raises $3M for AI Commerce Infrastructure
Catalog announces a $3M pre-seed led by Acrew Capital to make merchant product data legible to AI systems.
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