Platform - AI Search

Search experiences that convert, not just match.

Configure systems per account with feed sync, retrieval engines, suggestion controls, and a widget that connects discovery to revenue.

Provider-specific feed connectors
Hybrid retrieval with semantic + lexical blending
Search events ready for optimization loops

Request a Demo Implementation Docs

Configurable from feed to ranking.

Define ingestion providers, mapping rules, embeddings, and retrieval engines in one workflow. Operational health exposes index readiness and embedding coverage.

1) Feed ingest

Pull from Magento APIs, XML endpoints, or CSV feeds per market and account.

2) Rules layer

Control normalization, boosts, and exclusions with explicit rule authoring.

3) Embedding engines

Enable simple, complete, and AI embeddings according to relevance needs.

4) Runtime widget

Serve suggestions and ranked results with events for ongoing tuning.

Where teams deploy AI Search first

Start with high-impact journeys and iterate with instrumentation.

Category and query suggestions

Guide discovery quickly while preventing noisy feed text from leaking into UX.

Product discovery widgets

Embed in PLP/PDP journeys and keep style aligned with your storefront.

Market-specific retrieval

Create separate systems per language, catalogue, or country strategy.

Search observability

Track query behavior, click outcomes, and conversion quality over time.

FAQ

Quick answers to common questions.

What does AI Search configure?

AI Search configures feed providers, rules, embeddings, retrieval engines, and widget behavior for catalogue search experiences.

Can I combine lexical and semantic retrieval?

Yes. Hybrid mode combines lexical and semantic retrieval so results stay precise and context-aware.

Can I track conversion outcomes?

Yes. Widget and API events can be captured to evaluate query quality, product clicks, and conversion outcomes.

How do I start?

Request a demo and we can define your first system, feed strategy, and search KPIs.