AI Personalization Software
Klevu
SF 8.2Ecommerce search and discovery with AI relevance
From $259/moPaid plans start at $259 per month, custom enterprise pricing available
AI Personalization Software
Constructor.io
SF 8.3Ecommerce product discovery platform with AI ranking
Contact sales
Quick decision guide
Choose based on your workflow
Klevu may fit better if...
- AI Search Relevance
- Category Navigation
- AI Merchandising
Constructor.io may fit better if...
- AI Search Ranking
- Intent Prediction
- Category Browse
Overview
How each tool is described
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.
- 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.
- 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.
- 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.
- 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.
Constructor.io
What is Constructor.io?
Constructor, commonly associated with the Constructor.io name, is an AI-native product discovery platform for enterprise ecommerce. Its current Commerce Reasoning Engine uses behavioral clickstream, catalog, contextual, and other commerce data to power connected experiences across Search, Browse, Recommendations, Collections, and AI shopping agents.
- Search and ranking: Constructor Search combines clickstream signals with transformers, LLMs, and other machine-learning techniques to interpret queries and personalize rankings in real time. Ranking can be optimized against ecommerce objectives such as revenue per visitor, conversions, average order value, profit, or another retailer-defined KPI while incorporating shopper history and context.
- Discovery workflow: Browse, Recommendations, and Collections reuse behavioral learning across the discovery experience rather than operating as isolated engines. Recommendations use the same personalization signals as Search, while Browse feeds subsequent customer behavior back into other Constructor products. AI Shopping Agent adds conversational discovery using natural-language intent, product data, clickstream behavior, and the wider Constructor discovery stack.
- Merchant control: merchandisers can configure facets and create boosting, burying, slotting, blocklisting, and other searchandising rules across Search, Browse, Collections, Recommendations, and related experiences. Merchant Intelligence Agent (MIA) explains rankings and performance in natural language, suggests actions, and can draft merchandising changes for review and approval.
- Commercial considerations: Constructor uses a demo-led enterprise sales process rather than publishing fixed self-service subscription prices. Buyers should evaluate catalog scale, clickstream availability, ecommerce integrations, rollout requirements, KPI configuration, merchandising governance, and which discovery modules they need.
Constructor is particularly relevant to enterprise retailers that want search, category browsing, recommendations, merchandising, and conversational discovery to learn from the same shopper signals instead of running as separate personalization systems.
Side-by-side
Key differences
Criteria
AI Personalization SoftwareKlevu
AI Personalization SoftwareConstructor.io
Best for
AI Personalization Software
AI Personalization Software
Score
8.2/10
8.3/10
Pricing
From $259/mo
Contact sales
Category / audience
AI Marketing & Content Software › AI Personalization Software
- ecommerce search
- product discovery
- AI relevance
AI Marketing & Content Software › AI Personalization Software
- personalization
- ecommerce search
- product discovery
OVERLAP
Where Klevu and Constructor.io are similar
Both tools cover similar catalog signals. The deciding factor is usually workflow fit, implementation needs, and ecosystem fit.
2 capabilities0 workflows
Shared capabilities
Capability overlap
Feature check
Side-by-side feature check
Feature
Klevu
Constructor.io
AI Search RelevanceAI driven search relevance across ecommerce storefronts
-
Category NavigationPower category navigation across ecommerce storefronts
-
AI MerchandisingPower merchandising across ecommerce storefronts at scale
-
Commerce IntegrationsIntegrates with major commerce platforms across ecommerce
-
AI Search RankingAI driven search ranking across ecommerce storefronts
-
Intent PredictionPredict shopper intent across captured behavioral signals
-
10 capabilities compared.8 differentiating rows are shown first.
The trade-offs
Pros & cons of each tool
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
Trade-offs
Constructor.io
Pros
- AI driven search ranking and personalization for enterprise ecommerce
- Intent prediction across captured shopper behavioral signals data
- Established enterprise search and discovery vendor at scale
Cons
- Specialist enterprise search vendor with smaller public review base
- Pricing built for enterprise scale, not smaller teams today
- Quote based pricing requires sales engagement to evaluate fit
Final verdict
Best fit depends on your workflow
Current catalog data shows meaningful overlap between Klevu and Constructor.io. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Shared catalog overlap
Klevu and Constructor.io share 2 catalog signals, so the decision should focus on fit rather than broad capability alone.
Differentiators available
Klevu has 4 visible decision signals and Constructor.io has 4.
Score signal
Constructor.io has the higher SoftFinders Score in the current catalog data.
Choose Klevu if…
- AI Search Relevance
- Category Navigation
- AI Merchandising
- ecommerce search
Choose Constructor.io if…
- AI Search Ranking
- Intent Prediction
- Category Browse
- personalization
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.