Written for machines too
Agent Flow generates descriptions and attributes that answer the questions a shopper actually asks, instead of marketing copy an assistant cannot parse.
People increasingly start product research inside an assistant rather than a search box. What those assistants can say about your products depends entirely on how structured and complete the underlying data is: a listing missing materials, dimensions or identifiers is one an assistant cannot confidently recommend. Qooly governs that record: attributes validated, taxonomy classified, identifiers present, descriptions written for machines as well as people, and published to the feeds and storefronts these surfaces read.
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Agent Flow generates descriptions and attributes that answer the questions a shopper actually asks, instead of marketing copy an assistant cannot parse.
GTINs, MPNs and barcodes are validated so your product can be matched rather than guessed at.
Attribute gaps are flagged ahead of publication. An incomplete record is the main reason a product gets passed over.
Price and availability changes propagate to the surfaces these assistants read, so the answer is not describing last month's catalog.
5 steps
Define the attribute set your category needs to be answerable
Map your source fields to that schema in Qooly
Enable AI enrichment for descriptions, attributes and taxonomy
Set completeness rules a product must pass before publishing
Publish to the storefronts and feeds these assistants read
Ready to connect?
No engineering required. Connect your account, map your fields, and your catalog syncs automatically.