·Catalog & PIM Ops
Your PIM is a filing cabinet. So who's doing the work?
A PIM stores product data beautifully. It doesn't gather it, clean it, enrich it, or fix it when it's wrong. That gap is where most catalogs quietly fall apart.
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How distributors, retailers, and brands turn messy product data into content that ranks in search and gets surfaced by AI answer engines.
A PIM stores product data beautifully. It doesn't gather it, clean it, enrich it, or fix it when it's wrong. That gap is where most catalogs quietly fall apart.
Read moreGoogle's UCP lets shoppers buy straight from AI Mode and Gemini — but your product feed decides whether you even show up. Here are the 6 things that put you in the cart (and keep you out).
Read moreIn 2023, NAED found poor product data costs electrical distribution over $2B a year. In 2026, that same data decides whether AI engines and a younger generation of buyers ever find you.
Read moreA blank GTIN field doesn't throw an error. It just makes your product harder for a machine to identify, trust, and recommend — so it gets passed over.
Read moreWhen an AI agent does the shopping, it never sees your homepage, your hero image, or your brand video. It reads your feed. That's the whole storefront now.
Read moreAI shopping engines don't reject your products loudly. They filter quietly, on data they can't read. Here are the 5 gaps that do it most — and how to close them.
Read moreBuyers increasingly start in ChatGPT, Perplexity, and AI Overviews — not a search box. Here's what it takes for your products to be the answer.
Read moreYou compete to sell the same parts as everyone else. The catalog isn't the bottleneck — the content is. Here's how to think about it.
Read moreIf your product pages use the same copy as every other distributor, search has no reason to rank yours. Differentiated content is the fix.
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