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.
Product feed management now has two jobs
Learn how product feed management works, which fields matter, how feeds differ by channel, and when to use feed tools or an AI product data layer.
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What is a SKU? Meaning, examples, and how to create one
Learn what a SKU is, see real SKU examples, compare SKU vs UPC and barcode, and build a SKU system that works for ecommerce and AI shopping.
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Omnichannel vs. multichannel: what changes for product data
Compare omnichannel vs. multichannel commerce, the operational tradeoffs, and what each model needs from product feeds, inventory, and structured data.
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Conversational commerce: what it is, examples, and how brands should prepare
Learn what conversational commerce is, how AI shopping assistants change it, and what product data brands need for chat-led buying.
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Product experience management: what PXM means and how it fits the product data stack
Learn what product experience management means, how PXM differs from PIM, enrichment, and syndication, and how AI commerce changes the workflow.
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Product attributes: examples, types, and why they matter
Learn what product attributes are, see ecommerce examples, and understand how consistent attributes improve search, filters, feeds, and AI readability.
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Inventory management process: steps, map, and checkpoints
A practical guide to the inventory management process, with process steps, handoff checkpoints, failure points, KPIs, and product data examples.
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Ecommerce filters: how to improve product discovery with better data and UX
A practical guide to ecommerce filters, faceted navigation, filter UX, product attribute quality, and SEO crawl control.
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What is a third-party marketplace?
Learn what a third-party marketplace is, how 3P selling works, examples like Amazon and Walmart, and what product data merchants need.
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Referral traffic in Google Analytics: how to track AI and direct visits in GA4
Learn how to read GA4 referral and direct traffic, track AI assistants, segment likely dark visits, and tie product-page traffic to revenue.
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Product data extraction: how to turn product pages into usable commerce data
Learn what product data extraction is, how APIs, feeds, and scrapers collect product data, and how to normalize it for commerce systems.
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Dark traffic in agentic commerce: how to find the AI shoppers your analytics miss
Learn why AI shopping assistants can turn product clicks into direct traffic, and how to estimate the gap with Google Analytics 4, logs, and visibility data.
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AI shopping assistant: what it is, how it works, and how brands should prepare
A practical guide to AI shopping assistants, product data readiness, and the hidden measurement problem brands need to plan for.
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Product data quality: dimensions, examples, and how to audit it
Learn what product data quality means, which dimensions matter, how to audit product records, and how to improve data for search and AI commerce.
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Product description examples: 10 patterns to use
See product description examples by product type, learn why each one works, and use a practical framework for better ecommerce product copy.
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Product data syndication: How to keep every channel accurate
Learn how product data syndication works, which fields matter, and how to keep product data accurate across retailers, feeds, and AI shopping.
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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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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 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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