Klevu
AI-powered ecommerce search, merchandising and feed management from Klevu, now part of Athos Commerce.
Klevu still makes sense for retailers who want AI search and personalization without hiring a search team, and the Athos Commerce consolidation gives you a clean path from search-only to the full onsite-plus-offsite platform under annual plans. The catch is that Searchspring and Intelligent Reach now overlap with what Klevu used to do alone, so ask pointed questions about component overlap before you sign a Complete Discovery contract. If you need a deeply customizable API-first search layer,
Verified 1d ago · liveness 81/100 · cite: rightaichoice.com/tools/klevu
- Mid-to-large retailers whose site search returns irrelevant or zero results
- Merchandising teams who want to test and publish product placements without engineering tickets
- Multichannel sellers needing feed quality across Google Shopping, Amazon, eBay and social
- Brands that want search, personalization and feed management under one annual contract
- Engineering teams that want to own the ranking and relevance layer themselves
- Small stores with low traffic where managed search costs outweigh conversion gains
- Retailers that only need personalization and no search or feed tooling
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Skip Klevu if you're a small store with a simple catalog, need heavy API customization, or require a self-hosted open-source search solution.
Klevu's pricing is not public; you must request a quote, and the final cost may exceed expectations for larger catalogs or high traffic.
Klevu fits mid-to-large retailers who want a managed, all-in-one discovery suite, though pricing is quote-based. For smaller stores, cheaper alternatives like Algolia's free tier or Nosto's self-serve plans may be more cost-effective. Klevu's value lies in the breadth of features under Athos Commerce, but you need to evaluate whether the full stack justifies the cost versus standalone tools.
In short
Klevu — AI-powered ecommerce search, merchandising and feed management from Klevu, now part of Athos Commerce. Best for Mid-to-large retailers whose site search returns irrelevant or zero results, Merchandising teams who want to test and publish product placements without engineering tickets, Multichannel sellers needing feed quality across Google Shopping, Amazon, eBay and social. Contact Sales pricing.
What people actually say about Klevu — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
5 mentions across 1 source (YouTube) · researched Aug 29, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +AI-powered natural language search understands shopper intent beyond keywords
- +Advanced filtering allows precise product recommendation personalization
- +Real-time analytics and A/B testing enable data-driven decision making
- +Multi-lingual and multi-site support suits global storefronts
- +Managed suite reduces engineering overhead compared to developer-centric tools
- −Almost no independent community reviews validating real-world reliability
- −Steep learning curve for non-technical merchandisers configuring smart search
- −Athos merger creates potential feature overlap and integration complexity
- −Pricing is opaque—no public tiers, hidden costs with AI add-ons possible
- −The 2026 platform launch may introduce initial bugs or feature churn
- • AI Add-Ons like AI Search, AI Merchandising, and AI Product Recommendations are likely extra
- • Optional AI Agents (Conversational, Channel, GEO) come at an additional cost
- • Overages for high traffic or API calls may apply given the managed platform nature
Viability Score
How well maintained and how widely used is Klevu? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- AI-powered site search that interprets shopper intent beyond keywords
- One-to-one personalization across search, categories and recommendations
- Visual merchandising: curate, test and publish product placements
- Real-time search and revenue analytics
- Product feed management for Google Shopping, Amazon, eBay and social commerce
- Social commerce listing and order synchronization
- Local advertising for click-and-collect
- Conversational Assistant AI agent with multimodal search and product comparison
- Channel Assistant for AI feed audits, optimization and channel expansion
- GEO Assistant that enriches catalogs and syndicates to Google Gemini, ChatGPT and other AI platforms
- AI Search, AI Merchandising, AI Product Recommendations and AI Product Bundling add-ons
- AI Data Enrichment for product catalog quality
- Multi-lingual and multi-site storefront support
- A/B testing for search and recommendations
- Unified Athos Console across all plans
About Klevu
Klevu is an AI search, merchandising and personalization platform for online retailers, now folded into Athos Commerce alongside Searchspring and Intelligent Reach. The Athos Commerce Intelligent Discovery Platform, announced in 2026, puts onsite discovery and offsite feed management on one contract, one analytics dashboard and one console. For a mid-market merchant, that means you can buy site search alone, feed syndication alone, or the bundle. The core onsite stack covers AI-powered search that reads shopper intent beyond literal keywords, one-to-one personalization across search, categories and recommendations, and visual merchandising where you drag, test and publish product placements. Merchandising rules let you override the AI, run campaigns and manage banners. Analytics turns query and revenue data into merchandising actions rather than vanity dashboards. Offsite Discovery handles product feed management for Google Shopping, Amazon, eBay and social commerce, plus partner feed management, listing and order synchronization and local advertising for click-and-collect. Three AI agents sit on top as separate purchases: the Conversational Assistant (multimodal search, intent recognition, product comparison), the Channel Assistant (feed audits, optimization, channel expansion scorecards) and the GEO Assistant, which enriches catalogs and syndicates them to Google Gemini, ChatGPT and similar AI platforms. AI Search, AI Merchandising, AI Product Recommendations and AI Product Bundling are modular add-ons inside your chosen plan. Integration list is long and pragmatic: Shopify, BigCommerce, WooCommerce, Magento, Salesforce Commerce Cloud, commercetools, Shopware and Contentful. Under the hood everything rides on shared cloud infrastructure, analytics, APIs and integrations. Athos says the platform is used by more than 2,700 brands and carries a 4.5 rating on G2. Compared with Algolia's developer-first API model or Nosto's personalization-only scope, Klevu under
Behind the Verdict
The Klevu brand is now a signpost. Type klevu.com and you land on a page that tells you to go to Athos Commerce. That matters practically: if you are evaluating Klevu today, you are evaluating the Athos Commerce Intelligent Discovery Platform, and the SKU names you will sign are Onsite Discovery, Offsite Discovery and Complete Discovery. We would pick Onsite Discovery when search is the bottleneck. Slow, irrelevant results, high zero-result rates, merchandisers hand-sorting collections every Monday. The merchandising layer is visually driven, so non-technical staff can test placements without a release cycle, and analytics feed directly into those decisions. That is the actual reason teams stay on this platform, not the model architecture. Go for Offsite Discovery if your problem is feed quality across Google Shopping, Amazon, eBay and social. The Channel Assistant's audits and expansion scorecards are aimed at exactly that failure mode: spend leaking because product data is thin or wrong. Pass on the full Complete Discovery bundle if you only ever needed one half. Athos explicitly sells the plans standalone and lets you upgrade with data, configurations and integrations carrying over, so there is no reason to buy offsite feed management you will never switch on. Also pass if your engineers want to own the ranking layer end to end; this is a managed suite, not a toolkit. Where it bites: the three AI agents are separate autonomous products with separate pricing, available only on specific plans. The Conversational Assistant only rides on Complete and Onsite Discovery, the Channel Assistant on Complete and Offsite, and the GEO Assistant across all three. Budget for the add-on and the agent you actually need, not the demo bundle. Closest alternative is still Algolia
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Real-world workflow fit
Concrete scenarios for the personas Klevu actually fits — and what changes day-one when you adopt it.
You want to improve search relevance and test different result rankings.
Outcome: Use Klevu's A/B testing to compare search result layouts, implement merchandising rules to pin bestsellers, and analyze real-time analytics to measure conversion lift.
You need to optimize product feeds for Google Shopping and social channels.
Outcome: Use the Offsite Discovery plan's feed management to audit and optimize feeds, launch the Channel Assistant AI agent to automate feed enhancements, and track performance via scorecards.
You want a unified platform for onsite search and offsite feed management.
Outcome: Choose the Intelligent Discovery Platform (Complete Discovery) to consolidate search, merchandising, and feed management, then use the unified Athos Console for analytics and management.
Use Cases
- Online retailer using AI search to improve search-to-conversion rate
- Ecommerce team automatically bundling products to increase AOV
- Merchandiser running A/B tests on search result rankings to optimize performance
- Multi-channel seller optimizing product data for 1,400+ channels
- Brand on Shopify needing real-time indexing for instant product updates
- Retailer using geo-merchandising to target shoppers in specific regions
Limitations
- Klevu, now part of Athos Commerce, focuses on ecommerce search, merchandising, and personalization.
- Pricing is not publicly listed and requires a quote.
- The platform provides flexible plans and is part of the Athos Commerce unified platform.
as of 2026-08-29
Verification history
We have re-verified Klevu 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
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Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
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.
Where the pricing makes sense
The company stage and team size where Klevu's pricing actually pencils out — and where peers do it cheaper.
Klevu fits mid-to-large retailers who want a managed, all-in-one discovery suite, though pricing is quote-based. For smaller stores, cheaper alternatives like Algolia's free tier or Nosto's self-serve plans may be more cost-effective. Klevu's value lies in the breadth of features under Athos Commerce, but you need to evaluate whether the full stack justifies the cost versus standalone tools.
Setup time & first value
How long it actually takes to get something useful out of Klevu — broken out by persona, not the marketing-page minute.
Most teams can get basic search live within a few hours using plugins for Shopify, Magento, or BigCommerce. Full personalization and merchandising setup may take several days. AI Agents and add-ons require additional configuration time.
Switching to or from Klevu
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Algolia: Use Klevu's API and import scripts to migrate your search index, but note that you'll need to reconfigure merchandising rules and analytics.
- →From Searchspring: Athos Commerce unified Klevu and Searchspring, so migration may be straightforward; consult Athos support for data transfer.
- →From custom search: Set up Klevu's integration and replatform your search UI, leveraging pre-built components for your ecommerce platform.
- ↗To Algolia: Export your search analytics and merchandising rules, then rebuild them in Algolia's API-first platform.
- ↗To Nosto: If you only need personalization, export recommendation data and set up Nosto's tag-based integration.
- ↗To an open-source solution: Extract your product catalog and search logs, then deploy something like Elasticsearch with custom UI.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Klevu”, and we withheld 6: 6 could not be judged, because “Klevu” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Klevu.
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