AI-powered ecommerce search and merchandising platform
By Tanmay Verma, Founder · Last verified 04 Jun 2026
In short
Klevu — AI-powered ecommerce search and merchandising platform. Best for Mid-market to enterprise ecommerce stores wanting AI-driven search and merchandising, Online retailers with large product catalogs (10k+ SKUs) needing automated relevance tuning, B2B and B2C stores seeking personalized product discovery to boost conversion rates. Contact Sales pricing.
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Klevu stands out for its AI-driven personalization that learns from each visitor, making it a strong pick for mid-market and enterprise ecommerce stores looking to boost conversion rates without heavy manual effort. Its recent merger into Athos Commerce signals a broader ecosystem play, but current users should watch for product roadmap changes.
Last verified: June 2026
Klevu is a solid choice if you run a mid-to-large ecommerce store and want to move beyond basic keyword search into predictive, AI-powered search and merchandising. Its key value is in the automation: the engine automatically tunes search results based on shopper behavior, which can save your merchandising team hours. We've seen it work particularly well for catalogs with 10k+ SKUs where manual tagging becomes impractical. However, Klevu is less ideal for very small stores (<500 SKUs) or those on a tight budget, as the pricing can edge out entry-level merchants. Compared to competitors like Algolia or Searchspring, Klevu's strength is its out-of-the-box AI that requires minimal configuration, but power users may find its customization limits frustrating for advanced use cases. A real-world caveat: the recent move to Athos Commerce means product direction may shift, so check on support SLAs and API stability if you're integrating long-term. Also, while integrations exist for Shopify and BigCommerce, implementation can still require developer hours for full headless setups.
Skip Klevu if Skip Klevu if you need a free or open-source search engine, or if your use case is not ecommerce (e.g., content sites, SaaS, or non-retail catalogs).
How likely is Klevu to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Klevu is an AI-powered ecommerce search and merchandising platform that helps online retailers connect shoppers with the right products. The platform leverages machine learning to deliver personalized search results, intelligent product recommendations, and automated merchandising. With features like semantic search and real-time analytics, Klevu optimizes the shopping experience for both B2C and B2B ecommerce stores. As part of the Athos Commerce group (alongside Searchspring and Intelligent Reach), Klevu focuses on onsite and offsite shopper engagement, offering marketers and ecommerce teams a unified set of tools to boost conversion rates and average order value. Klevu integrates with major ecommerce platforms including Shopify, Magento, BigCommerce, and WooCommerce, and supports headless commerce setups. The platform is known for its easy integration via APIs and its ability to learn from user behavior to continuously improve search relevance.
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Concrete scenarios for the personas Klevu actually fits — and what changes day-one when you adopt it.
You want to promote a new seasonal collection. You log into the Klevu dashboard, create a merchandising campaign with product pinning and a banner, schedule it for launch week, and use boost rules to prioritize collection items. You set an A/B test to compare two ranking strategies.
Outcome: The campaign goes live on schedule, the pinned products appear at the top of search results, and after one week A/B test data shows a 15% higher click-through rate for the boosted variant.
You want to increase average order value. You enable Predictive Product Bundling in the Expert plan, which automatically suggests complementary items based on real shopping behavior. You monitor the revenue uplift in the analytics dashboard.
Outcome: Within two weeks, average order value increases by 8%, and the bundle suggestions show a high add-to-cart rate with minimal manual effort.
Klevu is designed exclusively for ecommerce; unsuitable for general web search. Pricing is not publicly disclosed and depends on usage, making it hard to estimate costs upfront. The acquisition by Athos Commerce may cause uncertainty in product roadmap. Real-time indexing (Live Indexing) is currently available for Shopify only, limiting real-time capabilities for other platforms.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Klevu tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Essential
Custom
Ideal for
Solo ecommerce teams with limited merchandising needs — less than 20 campaigns and 2x daily indexing is sufficient
What this tier adds
Starting tier with search preview, product pinning, boost rules, and campaign scheduling — no personalization or A/B testing
Advance
Custom
Ideal for
Growing ecommerce teams that need geo-merchandising, landing pages, and A/B testing to optimize regional campaigns
What this tier adds
Adds geo-merchandising, landing pages, A/B testing, 50 campaigns, and 4x daily indexing over Essential
Expert
Custom
Ideal for
Large ecommerce retailers needing full AI personalization — personalized category results, product recommendations, and real-time indexing (Shopify only)
What this tier adds
The company stage and team size where Klevu's pricing actually pencils out — and where peers do it cheaper.
Klevu's pricing is custom and opaque, making it hard to compare with competitors like Algolia ($0.70/1K search requests) or Constructor.io (usage-based). It may be cost-effective for mid-market merchants with moderate traffic, but the lack of transparency is a friction point for smaller teams. Annual payment discounts and startup discounts are available.
How long it actually takes to get something useful out of Klevu — broken out by persona, not the marketing-page minute.
For a Shopify store, basic search integration can be done in a few hours via the app store. Full configuration (automated tagging, merchandising rules, personalization) takes 1–2 weeks with onboarding support. For other platforms like BigCommerce or Adobe Commerce, expect 2–4 weeks for data feed setup and customizations. A ProServ plan add-on can expedite the process.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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Last calculated: June 2026
Adds personalized category results, personalized product recommendations, 200+ campaigns, and Live/Real-Time indexing over Advance
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