SIDE-BY-SIDE COMPARISON

CompareBloomreachvsKlevu

Review features, pricing signals, strengths, and trade-offs before choosing.

Generated from current catalog profiles Catalog profile signals Use-case comparison
AI Personalization Software

Klevu

SF 8.2

Ecommerce search and discovery with AI relevance

From $259/moPaid plans start at $259 per month, custom enterprise pricing available

Quick decision guide

Choose based on your workflow

Bloomreach may fit better if...

  • Loomi AI
  • Commerce Search
  • Content Personalization

Klevu may fit better if...

  • AI Search Relevance
  • Product Recommendations
  • Category Navigation

Overview

How each tool is described

Bloomreach

What is Bloomreach?


Bloomreach is an AI personalization platform for commerce businesses that connects real-time customer and product data with marketing automation, ecommerce search, recommendations, and conversational shopping. Its Loomi AI platform provides the shared data, predictive models, decisioning, and activation layer across Bloomreach products and channels.


  1. Personalization role: Loomi builds a real-time view of customer intent from first-party behavior and customer context while incorporating business information such as product availability, pricing, and margins. Its models can then influence product recommendations, message content, channel selection, timing, segmentation, and other personalization decisions across the customer journey.
  2. Commerce workflow: Bloomreach Ecommerce Search combines AI-driven product discovery, merchandising, recommendations, and behavioral personalization, while Marketing coordinates experiences across channels including email, SMS, RCS, WhatsApp, web, mobile apps, and advertising. The Loomi Shopping Agent adds conversational product discovery, asking clarifying questions, comparing products, and guiding shoppers toward purchases using catalog and behavioral context.
  3. Implementation checks: buyers should assess customer-data quality, identity resolution, product-catalog structure, inventory and pricing feeds, integrations, required marketing channels, personalization governance, and whether marketing automation, ecommerce search, or the Shopping Agent should be deployed first. Connecting more Bloomreach capabilities allows Loomi to share signals across search, marketing, and conversational shopping workflows.
  4. Commercial considerations: Bloomreach uses customized annual pricing based on the products and packages selected and the scale of the business. Factors can include customer or profile volume, monthly unique visitors, catalog size, and communications usage depending on the product. Loomi AI is built into Bloomreach products without a separate Loomi platform charge, although individual AI tools, agents, add-ons, and higher usage allowances can depend on the purchased package.


Bloomreach is particularly relevant to commerce teams that want customer data, product discovery, marketing execution, and conversational shopping connected through a shared AI and personalization layer rather than operated as independent point solutions.

View full Bloomreach profile

Klevu

What is Klevu?


Klevu is an AI-powered ecommerce search and product-discovery technology that became part of Athos Commerce after combining with Searchspring in 2025. Klevu remains supported for existing customers, while Athos Commerce is now the broader commercial platform and migration path for search, merchandising, personalization, recommendations, and product discovery.


  1. Search experience: Klevu uses machine learning, natural-language processing, autocomplete, behavioral data, and catalog information to understand shopper queries and rank relevant products. The newer Athos AI Search extends this approach with hybrid semantic and keyword search plus behavioral signals that continuously refine results.
  2. Merchandising and personalization: Klevu supports manual product pinning, boosting rules, category merchandising, and scheduled campaigns while machine learning continues to influence the remaining rankings. Current Athos capabilities expand this with rules based on inventory, trends, segments, shopper history, and real-time intent, alongside AI-assisted merchandising recommendations.
  3. Commerce integrations: Klevu has prebuilt integrations for Shopify and Shopify Plus, Adobe Commerce/Magento, BigCommerce, commercetools, Salesforce Commerce Cloud, and Shopware. SDKs and APIs support headless and custom storefront implementations, while Klevu’s existing Discovery Suite can power search results, category pages, and product recommendations.
  4. Commercial considerations: new Athos Commerce customers receive quote-based pricing. Its Onsite Discovery plan includes Search, Merchandising, and Personalization, with AI Search, AI Merchandising, AI Product Recommendations, and AI Product Bundling available as add-ons. Single products and custom combinations can also be quoted, so buyers should distinguish current Athos packaging from legacy Klevu subscriptions.


Klevu is most relevant to ecommerce teams that want established AI search and merchandising technology without building product-discovery infrastructure internally, while buyers evaluating it today should also consider the ongoing transition to the unified Athos Commerce platform.


View full Klevu profile

Side-by-side

Key differences

Criteria
AI Personalization SoftwareBloomreach
AI Personalization SoftwareKlevu
Best for
AI Personalization Software
AI Personalization Software
Score
8.5/10
8.2/10
Pricing
Contact sales
From $259/mo
Category / audience
AI Marketing & Content Software › AI Personalization Software
  • commerce experience
  • ecommerce search
  • Loomi AI
+2 more
AI Marketing & Content Software › AI Personalization Software
  • ecommerce search
  • product discovery
  • AI relevance
+2 more

OVERLAP

Where Bloomreach and Klevu are similar

Both tools cover similar catalog signals. The deciding factor is usually workflow fit, implementation needs, and ecosystem fit.

1 capabilities0 workflows

Shared capabilities

Capability overlap

  • AI MerchandisingPower merchandising across enterprise commerce storefronts

Feature check

Side-by-side feature check

Feature
Bloomreach
Klevu
Loomi AILoomi AI driven recommendations across digital storefronts
-
Commerce SearchPower commerce search across digital storefronts
-
Content PersonalizationPersonalize content across enterprise commerce storefronts
-
Product DiscoveryPower product discovery across digital storefronts
-
Enterprise ScaleBuilt for enterprise commerce at global scale
-
AI Search RelevanceAI driven search relevance across ecommerce storefronts
-
11 capabilities compared.10 differentiating rows are shown first.

The trade-offs

Pros & cons of each tool

Trade-offs

Bloomreach

Pros
  • Enterprise commerce experience platform with Loomi AI features
  • AI driven recommendations and content across digital storefronts
  • Established enterprise vendor across global commerce markets
Cons
  • Commerce experience platform with AI features layered on top
  • Pricing built for enterprise scale, not smaller teams today
  • Quote based pricing requires sales engagement to evaluate fit
Trade-offs

Klevu

Pros
  • AI driven search and discovery for ecommerce storefronts
  • Affordable mid market pricing relative to enterprise alternatives
  • Integrates with major commerce platforms across global ecommerce
Cons
  • Search and discovery platform with AI relevance features layered
  • Less suited for enterprise teams wanting deep search platform
  • Output relevance varies by catalog size and quality today

Final verdict

Best fit depends on your workflow

Catalog verdict · low confidence

Current catalog data shows meaningful overlap between Bloomreach and Klevu. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.

Shared catalog overlap

Bloomreach and Klevu share 1 catalog signal, so the decision should focus on fit rather than broad capability alone.

Differentiators available

Bloomreach has 4 visible decision signals and Klevu has 4.

Score signal

Bloomreach has the higher SoftFinders Score in the current catalog data.

TRY THEM YOURSELF

See which one fits your workflow

Both tools have their strengths, the best way to decide is to spend a few minutes inside each.