Your stack retrieves products. searchHub makes discovery learn and improve.
A powerful engine is not a self-improving system. Modern platforms retrieve products quickly, apply business rules, and support complex experiences. But they still depend on the quality of the input, catalog data, configurations and manual decisions they receive.
Most solutions sit in the cloud, so every query travels out to their service and back before your shopper sees a result. searchHub runs as a small client right next to your stack, in the same infrastructure. The extra time it adds is too small to measure.
searchHub is not in the critical path. If the service is unavailable, the client falls back and your stack serves the query exactly as it would without it. Discovery keeps running.
What searchHub adds to every stack
interactions connected across the whole journey and mapped to underlying intent, revealing weak experiences invisible to event-level analytics.
variations grouped, intent shaped as shoppers type. Better input produces more consistent output.
detected opportunities become intent-aware suggestions, query rewriting, routing and redirects. No more fixing every recurring issue by hand.
Your catalog says what a product is. Shopper behavior shows which products people actually buy. searchHub ranks by what converts — not just by text or vector similarity.
stronger results infused selectively where they create measurable value, without the cost, latency and complexity of live inference on every request.
every change is A/B-tested against real user behavior and business outcomes. Changes that don't measurably improve results are rolled back.
A future-proof layer for a changing stack
When discovery intelligence is locked inside one engine, migrating means losing years of configurations, assumptions and behavioral knowledge. searchHub separates the understanding of shopper intent from the underlying retrieval technology. Change the engine without losing the intelligence. That makes searchHub the one constant in search and product discovery: it outlasts a re-platforming. After a few weeks of learning on the new engine, the agent picks up where it left off — because every engine, however good, still has more to give.