Make Vertex AI Search work harder. No rip-and-replace.
Vertex AI Search for commerce brings Google-scale models to your shop. searchHub adds what those models can't know: your shoppers' real vocabulary, clustered into proven master queries — plus independent proof of what converts.
Google-scale models, generic understanding.
Vertex understands language impressively in general. But shop vocabulary is specific — brand slang, part numbers, regional spellings — and generic understanding still routes variants to different results, while every query is metered.
searchHub grounds Vertex in your shop's own search history: variants become one master query, results become consistent, and your team gets engine-independent KPIs to steer by.
Three capabilities added in front of Vertex, not instead of it.
Suggest orders autocomplete by what converts, typo-free and duplicate-free.
Every spelling and typo is rewritten to one proven query, so Vertex AI Search retrieves on clean input.
Insights ranked by conversion potential tell you which journeys to fix first, so you act on evidence, not vanity charts.
What Vertex AI Search teams are asking right now
Drawn from the current Vertex AI Search news cycle — and what each topic means for your search KPIs.
Google's agent protocols reward shops whose search returns clean, intent-matched results. Master queries make your catalog machine-readable — and measurable.
Consumption pricing bills every variant. Clustering collapses duplicates before they are metered.
searchHub's journey tracking is anonymized and GDPR-native — intelligence without adding personal data to your cloud stack.