Cluster · 14 articles
Catalog for AI
Attribute coverage, structured data, and product copy that machines can read. The catalog work that makes Brand Agents, AI search, and Commerce GEO actually work.
More in Catalog for AI.
When AI Shopping Recommends the Wrong Size
Assistants cite one size. If labels, charts, Amazon size systems, and “runs small” notes disagree, that size is the wrong one.
Sujan Bhuiyan · · 11 minWhen AI Shopping Recommends an Out-of-Stock Product
Assistants treat InStock as a hard filter. If JSON-LD, Shopify Catalog, and Amazon disagree with the cart, you win the wrong recommendation — then lose the sale.
Sujan Bhuiyan · · 12 minHow We Enrich 10 Sample SKUs Before You Commit to Catalog Work
A free 10-SKU pass is not a teaser PDF. It is a worked before/after on your messiest hero products so you can decide whether full enrichment is worth it.
Sujan Bhuiyan · · 10 minPeak Season Catalog Mistakes for AI Shopping
Peak used to mean creative and media. Now it also means whether an assistant can trust your product data when shoppers ask before they click.
Sujan Bhuiyan · · 10 minEnriching a 10,000-SKU Catalog Without a Team of Ten
You don't need ten people to make a 10,000-SKU catalog machine-readable. You need a sequence, a template, and the discipline not to automate the parts that need a human.
GigaCommerce Team · · 11 minProduct Taxonomy Design for AI Discovery
Your category tree is a reasoning aid or a trap — an agent either finds the path to your product or gives up and recommends a competitor's.
GigaCommerce Team · · 14 minImage Metadata & Alt Text at Catalog Scale
Alt text was an accessibility checkbox. Now it is a data feed that AI shopping agents read. Here is how to fix it at catalog scale, not one product at a time.
GigaCommerce Team · · 11 minCompatibility Data: The Attributes AI Agents Rely On Most
The most-skipped attribute family in ecommerce catalogs is the one AI agents lean on hardest — here's how to source it and model it.
GigaCommerce Team · · 11 minVariant Data That Doesn't Confuse AI Agents
An agent that can't tell your variants apart will recommend the wrong one, or one that doesn't exist. Here's how to structure variant data so it doesn't.
GigaCommerce Team · · 12 minShopify Metafields vs. a PIM: Where Should Product Data Live?
Most merchants under 1,500 SKUs don't need a PIM — they need metafield discipline. Here's the framework for knowing which side of the line you're on.
GigaCommerce Team · · 11 minCatalog Debt: Measuring What Incomplete Data Costs You
Every empty attribute field is a small loan against future sales — and every new AI surface reads from the same thin catalog.
Sujan Bhuiyan · · 11 minProduct Attribute Templates by Category
Four categories, four starter templates, and the question each field is really answering — so you stop staring at a blank schema.
GigaCommerce Team · · 13 minDesigning a Product Attribute Schema AI Can Use
Filled fields decay; the schema endures. A field guide to the per-category contract that keeps a catalog AI-ready long after the enrichment project ends.
GigaCommerce Team · · 12 min