Klevu Review (2026): Features, Pricing & Verdict
Klevu is a premium AI-powered ecommerce search and product discovery platform whose multimodal AI search engine — combining keyword, semantic, neural and vector search in a single system — delivers some of the most impressive documented conversion results in the Cat 23 search category: up to 8% site-wide ecommerce conversion rate improvement, up to 16% search conversion rate increase, and 6% AOV uplift attributed to search, drawn from real merchant deployments. Founded in Helsinki and now operating as part of Athos Commerce (alongside Searchspring following a 2024 consolidation), Klevu serves mid-market to enterprise ecommerce brands on Shopify, Magento, BigCommerce and headless architectures — with a MACH-certified, API-first design that supports React, Vue, Nuxt3 and vanilla.js deployments for composable commerce teams. Its four-product suite covers AI Site Search, Smart Category Merchandising, Smart Recommendations and a Personalisation Engine, all operating from a unified real-time buyer intent signal layer that learns from individual and collective shopper behaviour. Native 30+ language support — with localised machine learning that adapts to regional shopper behaviour patterns — makes Klevu the strongest enterprise search option for international retailers in Cat 23. A 60,000-product Shopify store deployment reported an “immediate and sustained conversion rate” improvement after switching to Klevu; a four-year Shopify merchant describes the support team as “second to none,” responding to queries “within minutes.” Pricing starts at approximately €649/month (~$700) for the base site search module, with additional modules (recommendations, merchandising, personalisation) priced separately — all custom-quoted with no published tiers. A 14-day free trial is available; no permanent free plan.
- Best for
- Mid-market to enterprise retailers with large catalogues needing premium multimodal AI search, international language support and headless compatibility
- Platform coverage
- Shopify · Magento · BigCommerce · headless (Hydrogen/MACH-certified)
- Key results
- Up to 8% site-wide CVR lift · up to 16% search CVR · 6% AOV increase
- Languages
- 30+ — with localised ML adapting to regional shopper behaviour
- Pricing
- From ~€649/month (site search) · custom-quoted · 14-day trial
What Is Klevu?
Klevu is an AI-powered ecommerce search and product discovery platform — built from a semantic search-first philosophy that treats shopper queries as expressions of intent rather than keyword strings to match. Its multimodal AI combines four search paradigms (keyword, semantic, neural and vector) in a single engine, enabling it to handle the full range of real-world shopper queries: precise product references, vague concept searches (“something for a cosy autumn living room”), long-tail descriptive queries, voice-style natural language and typo-laden mobile input. The platform integrates with the merchandising, recommendations and personalisation layers needed to optimise the full product discovery journey from initial search through category browsing and product page recommendations.
Core Features
Multimodal AI Site Search — keyword + semantic + neural + vector
Klevu’s site search engine is its most commercially validated product, and the multimodal architecture is its core technical differentiator. Most ecommerce search platforms operate in one or two paradigms: keyword matching (fast, exact) or semantic/vector search (intent-aware, handles natural language). Klevu combines all four — keyword matching for precise product references, semantic search for intent understanding, neural search for deep natural language reasoning, and vector search for similarity-based discovery — allowing the engine to select the optimal ranking approach per query type rather than applying a single method uniformly. The practical consequence is genuinely impressive handling of the full range of shoppers’ search behaviour: explicit product searches, vague inspirational queries, comparative requests (“hiking boots for rain, not snow”), voice-style queries and catalogue-exploring browsing all receive relevance-optimised results. Real-time autocomplete with predictive suggestions reduces time-to-product and guides shoppers toward converting products before they finish typing. AI product data enrichment automatically indexes and enriches product metadata — tags, descriptions, attributes — to improve discoverability of products that have incomplete or inconsistent catalogue data, which is a common issue for large catalogues assembled from multiple supplier feeds.
Smart Category Merchandising — AI + visual control
Klevu’s Smart Category Merchandising applies AI to collection and category page sorting — a traditionally manual, labour-intensive task that most merchandising teams handle through periodic manual interventions. The AI sorts category pages dynamically by a configurable combination of conversion likelihood, product popularity, margin data and inventory levels, producing fresher and more commercially optimised product displays than static manual sorting. The platform’s visual merchandising dashboard provides non-technical merchandising teams with drag-and-drop controls to pin hero products, set boost and bury rules, apply time-based scheduling for campaign periods, and add promotional banners — all on top of the automated AI layer rather than replacing it. This balance of AI automation and human strategic control is consistently praised in merchant reviews: teams can encode business priorities (clearance items, seasonal launches, high-margin products) as merchandising rules while allowing the AI to optimise within those constraints. Dynamic filters and SEO-friendly category page layouts are included, enabling merchandising without sacrificing page structure or organic search performance. Full compatibility with Shopify Markets allows international merchants to apply different merchandising configurations per market.
International search and headless compatibility
Klevu’s native support for 30+ languages — with localised machine learning that learns from shopper behaviour patterns in each market — is one of the most significant differentiators for international ecommerce retailers. Rather than translating queries and then running search in a single language model, Klevu applies market-specific learning: a French shopper’s query behaviour, category preferences and purchase patterns inform French-market search ranking independently from what German or Japanese shopper behaviour looks like. For retailers operating across multiple European, Asian or Latin American markets simultaneously, this localised intelligence produces meaningfully better search relevance than a single global model can achieve. The MACH-certified, API-first architecture supports headless commerce deployments — Shopify Hydrogen, composable stacks, custom storefronts — with browser-compatible SDK libraries for React, Vue, Nuxt3 and vanilla.js. REST APIs and detailed developer documentation enable custom integrations without dependency on a PageFly or Shogun-style front-end builder. This headless compatibility positions Klevu as the search layer of choice for technically mature teams building composable commerce architectures rather than theme-based Shopify storefronts.
Scored Categories
Pricing
| Module | Estimated price | Notes |
|---|---|---|
| AI Site Search (base) | From ~€649/month | AI search, enrichment, filters, autocomplete, visual merchandising; custom quotes scale with catalogue size and traffic |
| Recommendations (add-on) | ~€449–€649/month | Smart Recommendations across all page types; priced separately |
| Merchandising (add-on) | ~€549–€749/month | Advanced merchandising tools; campaign scheduling; priced separately |
| Personalisation Engine (add-on) | ~€649/month | Individual-level personalisation; priced separately |
| Enterprise / premium tiers | Custom | 99.99% uptime SLA · dedicated infrastructure · Implementation Manager support |
| Trial | 14 days | Free trial; no permanent free plan — contact klevu.com for access |
Strengths
- Multimodal AI search: keyword + semantic + neural + vector in one engine
- Up to 8% site-wide CVR · 16% search CVR · 6% AOV lift documented
- 30+ language support with localised ML — strongest international search in Cat 23
- MACH-certified headless / API-first — Shopify Hydrogen, React, Vue, Nuxt3 support
- Support team praised across reviews: “responds within minutes,” “second to none”
- AI product data enrichment — improves discoverability of incomplete catalogue data
- Smart Category Merchandising — AI + visual drag-and-drop controls for non-technical teams
- 99.99% uptime SLA at enterprise tier
Weaknesses
- No published pricing — sticker shock common; minimum ~€649/month for site search alone
- Full-suite cost (search + recs + merchandising + personalisation) can exceed €2,000+/month
- No permanent free plan — 14-day trial only
- Technical setup required for complex stores — developer involvement needed
- Not suitable for small catalogues (few hundred SKUs) — limited AI value at small scale
- Athos Commerce consolidation with Searchspring raises long-term roadmap questions
- Some reviewer noted steep initial pricing barrier: “hundreds of euros” for basic features
Verdict: 8.0 / 10 — The Premium AI Search Platform for International and Headless Ecommerce
Klevu’s 8.0 reflects a search platform that delivers on the most commercially validated metrics in Cat 23’s search category — 8–16% conversion improvements from search alone, supported by consistently positive merchant reviews praising both AI quality and support responsiveness — within a premium pricing structure that requires significant scale to justify. The multimodal AI combining keyword, semantic, neural and vector search represents a genuinely advanced technical approach that produces real-world search quality improvements for complex queries that most competitors handle less well. The 30+ language support with localised ML is the strongest international search capability in the category. MACH certification makes it the natural search layer choice for headless commerce teams building composable architectures. The honest constraints are pricing opacity, scale requirements (small catalogues extract limited value) and Athos Commerce consolidation risk. For mid-market to enterprise retailers with meaningful traffic, large or complex catalogues, and international operations, Klevu is among the strongest AI search investments available in 2026.
Frequently Asked Questions
What does “multimodal AI search” mean and why does it matter?
Multimodal AI search means Klevu’s engine can apply multiple distinct search paradigms to the same query — selecting the approach that produces the best results for each specific query type rather than using a single method uniformly. The four paradigms are: keyword search (fast, exact term matching — good for precise product references like SKU numbers or exact brand names), semantic search (understanding the meaning behind a query rather than the literal words — good for intent-based discovery like “eco-friendly running shoes”), neural search (deep natural language model reasoning — good for complex, conversational and contextual queries), and vector search (similarity-based discovery using high-dimensional representations — good for finding products that are conceptually related to a query without matching keywords). Most commercial ecommerce search engines apply one or two of these paradigms. Klevu’s multimodal approach applies all four, allowing the engine to handle the full spectrum of real-world shopper query types — from a precise SKU lookup to a vague inspirational browse like “coastal living room furniture” — with the optimal method for each case. The practical result is fewer zero-result searches, more relevant autocomplete suggestions, and higher conversion rates from search sessions.
How does Klevu’s Shopify integration work?
Klevu integrates with Shopify via a native Shopify App Store app that syncs your product catalogue and overlays Klevu’s AI search engine over your storefront. The integration handles product data synchronisation (keeping the Klevu search index current as products are added, modified or discontinued), search front-end rendering (displaying the Klevu search UI within your Shopify theme), and behavioural data collection (capturing clicks, searches, add-to-carts and purchases to train the AI model on your specific store’s patterns). For standard Shopify stores with default themes, the integration is straightforward and typically requires minimal developer involvement. For stores with heavily customised themes, unique UI requirements or Shopify Plus configurations, some developer work may be needed to integrate Klevu’s front-end components correctly. Shopify Plus stores gain additional flexibility through Klevu’s JavaScript SDK, enabling deeper control over search UI styling and placement. For headless Shopify deployments using Shopify Hydrogen, Klevu’s MACH-certified APIs and React/Vue component libraries provide the integration layer without dependency on Shopify’s standard storefront rendering infrastructure.
What happened when Klevu merged with Searchspring?
In 2024, Klevu and Searchspring were consolidated under a common parent company called Athos Commerce. Both products continue to operate as distinct platforms with their own development teams, customer success organisations and roadmaps — the consolidation was primarily a corporate ownership event rather than a product merger. However, the presence of two related but competing search and merchandising platforms under the same ownership raises legitimate questions for buyers about long-term product strategy: whether the roadmaps will converge, whether resources will be allocated between the two platforms differently, and whether new customers should prefer one product over the other based on Athos’s long-term direction. From a 2026 evaluation standpoint, both platforms continue to develop actively and release new features. Teams evaluating Klevu should ask Klevu’s sales team directly about Athos Commerce’s long-term product strategy for the Klevu platform specifically, the development roadmap for the next 18–24 months, and any planned changes to support structures or pricing as a result of the consolidation. This is standard procurement diligence for any platform that has undergone ownership changes.