Search that understands
what people mean,
not just what they type.
Every catalog is different. AI Search learns your domain — grocery, fashion, automotive parts, cosmetic ingredients, research compounds — and retrieves exactly what the shopper had in mind.
Who uses it
Every catalog has a search problem. This is what solving it looks like.
Natural language queries, resolved into precise results — across industries with completely different vocabularies, constraints, and data shapes.
Capabilities
Built for the complexity real catalogs bring.
Not a search box wrapper. A retrieval layer that understands your domain, your data model, and your merchandising rules.
Natural language understanding
Shoppers type the way they think. Constraints, attributes, negations — the engine resolves intent before matching catalog.
Attribute-aware ranking
Price ceilings, colour exclusions, size filters, availability — extracted automatically from the query, no UI selection needed.
Domain-specific catalogs
Whether your index holds grocery SKUs, OEM part numbers, chemical compounds, or research strains — the engine learns your vocabulary.
Zero-result recovery
When a query returns nothing, the engine suggests reformulations, broadens constraints, and surfaces adjacent results — not a blank page.
Merchandising controls
Boost seasonal lines, pin promoted products, bury out-of-season inventory — all from a rules UI, no re-indexing required.
Search analytics
See what people search for, where they abandon, and which queries never convert. Turn blind spots into catalog actions.
Ready to make your catalog findable?
AI Search is in private beta. Join the waitlist and we'll reach out when your catalog type is ready.