Customers search by problem.
Most catalogs are structured by internal logic.
That gap costs conversion.
Clearerβs Catalog Agent closes that gap.
The Catalog Agent learns from real behaviour - search,
clicks, conversion, and feedback - and updates your
catalog automatically.
β
No manual tuning. No rule maintenance.
You donβt manage the catalog.
You set the outcome β the agent handles it.
Your product experience improves continuously, without manual upkeep. Changes are automatically
reflected across the customer journey:
β’ Products grouped more intuitively
β’ Variants cleaned up and surfaced correctly
β’ Attributes enriched to match real search language
β’ Zero-result searches reduced as gaps are identified
The agent learns which searches
signal strong intent, then adapts
grouping, ordering and attributes
so the right products surface faster.
By understanding which products
belong together in real customer
journeys, the agent improves bundles,
families and exposure - increasing
basket size without forcing promotions.
The agent tracks failed searches,
identifies intent gaps and improves
structure and enrichment so
customers donβt hit dead ends.