Improve Search Relevance
Handles typos, synonyms, intent and long-tail product queries
Marketing
E-commerce & Selling
Analytics & Data
Klevu
Klevu is built for ecommerce teams whose large catalogs have outgrown their platform’s default search. They choose it for relevant onsite results, practical merchandising controls, and discovery tools that work across established commerce stacks.
Runs on
Web
Available on
Web
Built for
Small Business
Enterprise
Developers
Marketing
Overview
What is Klevu?
Where Klevu fits
Klevu sits between an online store's catalog and its shoppers, replacing basic native search with a managed discovery layer. Teams connect a product feed, tune relevance and synonyms, pin or suppress items, and inspect search behavior from one dashboard. It is strongest when a sizable catalog makes manual curation impractical. Shopify, Adobe Commerce, BigCommerce and headless storefront support make it viable beyond a single commerce stack. Contracts are paid and typically sales-led, with cost shaped by traffic, catalog size and selected modules.
Typical storefront jobs
- Reduce zero-result searches: Natural-language processing, typo tolerance and automated catalog enrichment help shoppers reach plausible products.
- Merchandise campaigns: Retail teams create ranking rules and category strategies without redeploying the storefront.
- Personalize discovery: Recommendations and behavioral signals adjust results, while analytics expose weak queries and missed demand.
Capabilities
Key features
Visual Merchandising
Pins, boosts and suppresses products through configurable ranking rules
Personalize Recommendations
Serves product suggestions informed by catalog and behavioral signals
Analyze Search Demand
Surfaces weak queries, missed demand and conversion patterns
Headless Discovery APIs
Supports custom storefronts alongside major commerce platform integrations
Keep exploring
Teams also considered
Poor retail search buries relevant stock and costs conversions; Constructor uses shopper behavior to improve product discovery. It is especially good at ranking large catalogs around purchases rather than simple keyword matches.
Nosto personalizes ecommerce storefronts, giving merchandising teams practical control over recommendations, search, category ordering, and segmented content.
When shoppers cannot put a product into words, Syte uses visual AI to connect images and intent with relevant items across a retailer’s catalog.
Still weighing your options?
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