Klevu is live · custom pricing · last verified 25 Oct 2026 · viability healthy
Klevu
Klevu is now Athos Commerce: AI ecommerce search, merchandising, personalization and product feed management in one quoted platform.
The rebrand raises one question for any Klevu renewal: which discovery engine are you actually being quoted on? Searchspring and Klevu overlapped on site search, and the consolidated roadmap now runs through Athos. Buy Onsite Discovery if merchandising workflow matters more than relevance tweaking; buy Complete Discovery if you want feeds, search and AI agents under one annual contract. Algolia remains the more transparent path if a published price list is a hard shortlist requirement.
Verdict generatedVerified 5d ago · liveness 80/100 · cite: rightaichoice.com/tools/klevu
- Mid-to-large retailers whose site search underperforms and who want merchandisers, not engineers, running relevance
- Merchandising teams that need to curate, test and publish placements without engineering tickets
- Multichannel sellers needing feed quality across Google Shopping, Amazon, eBay and social commerce
- Brands that want search, personalization and feed management under one annual contract and one console
- Engineering teams that want to own the ranking and relevance layer themselves
- Small stores with low traffic where a quoted managed-discovery contract outweighs conversion gains
- Retailers that only need personalization with no search or feed tooling
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Skip Klevu/Athos if you will not start a vendor conversation before you can see a number, or if your engineering team insists on owning the ranking and relevance layer itself.
The base plan prices only the core products — AI Search, AI Merchandising, AI Product Recommendations, AI Product Bundling and AI Data Enrichment are quoted add-ons, so your first invoice can be well above the headline
Athos sells to mid-market and enterprise retail: three quoted plans whose scope (search, merchandising, personalization, feed management, AI agents) describes a team with a merchandising function, not a single operator. Against Algolia, which publishes self-serve tiers, you trade price visibility for a bundled quote. Under roughly $1M in online revenue the annual commitment rarely pays back.
In short
Klevu — Klevu is now Athos Commerce: AI ecommerce search, merchandising, personalization and product feed management in one quoted platform. Best for Mid-to-large retailers whose site search underperforms and who want merchandisers, not engineers, running relevance, Merchandising teams that need to curate, test and publish placements without engineering tickets, Multichannel sellers needing feed quality across Google Shopping, Amazon, eBay and social commerce. Pricing is on request (custom quotes).
No head-to-head comparison for Klevu yet — the alternatives below are the closest matches we list.
What is Klevu?
Klevu — Klevu is now Athos Commerce: AI ecommerce search, merchandising, personalization and product feed management in one quoted platform. Best for Mid-to-large retailers whose site search underperforms and who want merchandisers, not engineers, running relevance, Merchandising teams that need to curate, test and publish placements without engineering tickets, Multichannel sellers needing feed quality across Google Shopping, Amazon, eBay and social commerce. Pricing is on request (custom quotes).
Klevu no longer exists as a standalone brand. klevu.com now points to Athos Commerce, the company formed in January 2026 by merging Searchspring, Klevu and Intelligent Reach. The Klevu site search engine you may have shortlisted now sits inside a wider stack: the Athos Commerce Intelligent Discovery Platform, which bundles onsite search, merchandising and personalization with offsite product feed management. It's aimed at mid-market and enterprise retailers and DTC brands that would rather buy a managed discovery layer than staff an in-house relevance team. The onsite side covers AI search that reads shopper intent beyond literal keywords, one-to-one personalization across search, categories and recommendations, and visual merchandising that merchants curate, test and publish without an engineering ticket. Offsite covers product feed management for Google Shopping, Amazon, eBay and social commerce, plus partner feed management and local advertising for click-and-collect. Analytics and a unified Athos Console run underneath every plan. Three standalone AI agents sit on top and are quoted separately: the Conversational Assistant (multimodal search, intent recognition, quick view, product comparison), the Channel Assistant (AI feed audits, optimization, performance scorecards) and the GEO Assistant, which enriches catalogs and syndicates them to Gemini, ChatGPT and emerging AI platforms. Modular add-ons include AI Search, AI Merchandising, AI Product Recommendations, AI Product Bundling and AI Data Enrichment. Documented integrations run across Shopify, BigCommerce, WooCommerce, Magento (Adobe Commerce), Salesforce Commerce Cloud, commercetools, Shopware and Contentful. Athos cites more than 2,700 brands on the platform, 4.5 stars on G2 and 5 stars on Gartner Peer Insights. All three plans show Request Pricing, and the page frames them as "a starting point" with quotes built around your requirements. Against Algolia or Coveo, the pitch is consolidation: search,
Key features
- AI-powered site search that interprets shopper intent beyond literal keywords
- One-to-one personalization across search, categories and recommendations
- Visual merchandising: curate, test and publish product placements without engineering tickets
- A/B testing for search and recommendation rankings
- Analytics dashboard turning query and revenue data into merchandising actions
- Product feed management for Google Shopping, Amazon, eBay and social commerce
- Partner feed management
- Social commerce listing and order synchronization
- Local advertising for click-and-collect
- Conversational Assistant agent with multimodal search, intent recognition, quick view and product comparison
- Channel Assistant agent for AI feed audits, optimization, channel expansion and performance scorecards
- GEO Assistant that enriches catalogs and syndicates to Google Gemini, ChatGPT and emerging AI platforms
- AI Search, AI Merchandising, AI Product Recommendations and AI Product Bundling add-ons
- AI Data Enrichment for product catalog quality
- Unified Athos Console and analytics across all plans
Behind the verdict
We'd start with the consolidation argument rather than the feature list, because that's the real decision here. If you're already running Klevu for site search and separately paying someone for Google Shopping feed management, Complete Discovery is the version worth pricing out — one contract, one console, unified analytics, all five add-ons. Retailers who only hurt on site relevance should stay on Onsite Discovery and skip the offsite machinery entirely. Athos says upgrades carry your data and configurations across, so starting narrow isn't a dead end. Where it bites is the buying process. Every tier on the pricing page says Request Pricing, and the page itself frames plans as "a starting point" with quotes built to your requirements. If your procurement cycle needs a number on a screen before you can shortlist, this model will cost you weeks. That's not a knock on the product, it's a mismatch in sales motion — and it's the single most common reason buyers bounce to Algolia mid-evaluation. The agents are the part I'd scrutinize hardest in a demo. The GEO Assistant syndicating enriched catalogs to Gemini and ChatGPT is timely, but catalog enrichment is only as good as your source product data, and the tool can't fix messy attributes for you. Same story with the Channel Assistant's feed audits: useful if someone on your team owns feed hygiene, decorative if nobody does. Merchandising teams tend to get the most out of this. Curating, testing and publishing placements without filing an engineering ticket is the workflow that actually changes day-to-day work, and it's why Athos leads with merchandising rather than raw relevance benchmarks. Engineering-led teams that want to own the ranking layer will find the managed model constraining. Compare it to Algolia for
Limitations
- Klevu now operates as Athos Commerce, and Searchspring plus Intelligent Reach overlap with what Klevu previously did alone, so ask which discovery engine powers your site and what happens to legacy Klevu features before signing Complete Discovery.
- Every plan on the pricing page says Request Pricing, and the page describes plans as "a starting point" with quotes built around your requirements.
- Core capabilities are modular: AI Search, AI Merchandising, AI Product Recommendations, AI Product Bundling and AI Data Enrichment are add-ons, and the three AI agents are quoted separately with different plan eligibility — the Conversational Assistant is not available on Offsite Discovery, and AI Data Enrichment appears only on Complete Discovery.
- Onsite and Offsite are standalone annual plans, so a buyer wanting both should compare the Complete Discovery quote against buying the two separately.
as of 2026-10-20
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Is Klevu still active?
Klevu is live · custom pricing · last verified 25 Oct 2026 · viability healthy.
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: October 2026
How we score →What do users say about Klevu?
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.
ResearchedDiscussed by users 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
How we verified this
Every listed fact about Klevu— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 25 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.
Verification history
We have re-verified Klevu 23 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.
- — changed who should skip it, summary, our verdict, pricing tiers, description
- — changed pricing page
- — changed who should skip it, setup time, pricing fit, use cases, our verdict, features, hidden costs, summary, limitations, switching in, switching out, pricing tiers, description
- — changed who should skip it, summary, pricing tiers, description, features, our verdict, who it suits
- — changed pricing page
- — changed switching out, who should skip it, pricing fit, summary, features, hidden costs, integrations, setup time, limitations, switching in, description, pricing tiers, who it suits, use cases, our verdict
Showing the 6 most recent of 23 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Klevu cost in 2026?
Klevu: Pricing is on request (custom quotes). Pricing last verified 25 Oct 2026.
Plans compared
Every published Klevu tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Onsite Discovery | Request Pricing | quote | A retailer with a merchandising team and underperforming site search, who wants relevance and placements run as a workflow rather than an engineering project.Adds: Starting onsite tier: search, merchandising, personalization and analytics, with AI Search, AI Merchandising, AI Product Recommendations and AI Product Bundling available as add-ons. |
| Offsite Discovery | Request Pricing | quote | A multichannel seller whose problem is product feed quality and channel coverage rather than on-site search relevance.Adds: Starting offsite tier covering feed management for Google Shopping, Amazon, eBay and social, plus partner feeds, listing and order sync and click-and-collect local ads. |
| Complete Discovery | Request Pricing | quote | A brand that needs both halves of the shopper journey under one contract, one console and one analytics dashboard.Adds: Adds everything in Offsite Discovery to Onsite Discovery, and is the only plan that includes AI Data Enrichment — the fifth add-on. |
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.
Athos sells to mid-market and enterprise retail: three quoted plans whose scope (search, merchandising, personalization, feed management, AI agents) describes a team with a merchandising function, not a single operator. Against Algolia, which publishes self-serve tiers, you trade price visibility for a bundled quote. Under roughly $1M in online revenue the annual commitment rarely pays back.
Has Klevu's pricing changed?
No plan price for Klevu has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Klevu?
Pick Klevu if you are Mid-to-large retailers whose site search underperforms and who want merchandisers, not engineers, running relevance, Merchandising teams that need to curate, test and publish placements without engineering tickets, Multichannel sellers needing feed quality across Google Shopping, Amazon, eBay and social commerce, Brands that want search, personalization and feed management under one annual contract and one console.
Look elsewhere if you are Engineering teams that want to own the ranking and relevance layer themselves, Small stores with low traffic where a quoted managed-discovery contract outweighs conversion gains, Retailers that only need personalization with no search or feed tooling, Buyers who need a published price list before they will shortlist a vendor.
Skip it if Skip Klevu/Athos if you will not start a vendor conversation before you can see a number, or if your engineering team insists on owning the ranking and relevance layer itself.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Klevu actually fits — and what changes day-one when you adopt it.
On Monday she reviews the analytics dashboard for zero-result and low-conversion queries, then curates replacement placements directly in the merchandising view and publishes them without an engineering ticket.
Outcome: Search results change the same day instead of waiting on a sprint, and the query-to-revenue data on the dashboard shows whether the new placements converted.
The team audits product feeds with the Channel Assistant, fixes attribute gaps it flags, and uses the performance scorecards to move budget toward the channels that convert.
Outcome: Cleaner feeds across Google, social and marketplaces, plus a scorecard that shows which channel earns the next dollar of spend.
The GEO Assistant enriches the product catalog and syndicates it to Google Gemini and ChatGPT so product information is accurate when a shopper asks an assistant instead of a search box.
Outcome: Product data is present and correct in the AI platforms where research increasingly starts, without a manual spreadsheet pass per channel.
Use cases
- An online retailer whose site search returns zero results or irrelevant products and needs intent-based relevance
- An ecommerce team bundling products with AI Product Bundling to lift average order value
- A merchandiser A/B testing search rankings and publishing winning placements without an engineering ticket
- A multichannel seller auditing and optimizing product feeds across Google Shopping, Amazon, eBay and social
- A Shopify store that needs product updates reflected in search without waiting on a reindex
- A retailer running local advertising for click-and-collect to drive store visits
- A catalog owner enriching product data and syndicating it to Google Gemini and ChatGPT via the GEO Assistant
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.
A Shopify or BigCommerce store on Onsite Discovery can expect first search results in days once the connector is wired and the catalog indexed, but relevance tuning and merchandising rules are an ongoing weekly habit. Offsite Discovery adds feed configuration time per channel. Complete Discovery with the agents takes longest because catalog enrichment and agent configuration come on top of both.
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 a native platform search (Shopify, BigCommerce, Magento): connect the platform integration, index the catalog, then redirect search traffic once relevance is tuned.
- →From Algolia: map your index configuration and ranking rules onto Athos merchandising settings, then run both in parallel on a traffic split before cutting over.
- →From Searchspring or Klevu legacy contracts: raise the consolidation with your account team early, since Athos now owns all three codebases and can carry data and configurations across.
- ↗To Algolia: export the catalog and rebuild ranking rules in Algolia's config-driven model, accepting that merchandising workflows move to a more engineering-led setup.
- ↗To Bloomreach or another suite: expect a longer implementation because personalization and feed management are bundled here rather than assembled from separate vendors.
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.
Official links
What are the best Klevu alternatives?
The closest alternatives to Klevu we list are Bloomreach, Nosto and Marqo. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Bloomreach | Paid | Pricing not published | — |
| Nosto | Contact Sales | Custom pricing | — |
| Marqo | Contact Sales | Custom pricing | — |
Alternatives to Klevu
View all
Bloomreach
Agentic email personalization and AI ecommerce search, powered by Loomi's next-best-action decisioning
Tools that pair well with Klevu
Common stack mates teams adopt alongside Klevu, with the specific reason each pairing earns its keep.
Bloomreach
Agentic email personalization and AI ecommerce search, powered by Loomi's next-best-action decisioning
Nosto
AI personalization for ecommerce search, merchandising, recommendations and email — run by Nosto's Huginn agent
Marqo
AI-native ecommerce search that trains a dedicated LLM on your catalog and shopper behavior to lift conversion.
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