SIDE-BY-SIDE COMPARISON

CompareLily AIvsKlevu

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

Lily AI may fit better if...

  • AI Product Attributes
  • Computer Vision
  • Customer Intent

Klevu may fit better if...

  • AI Search Relevance
  • Product Recommendations
  • Category Navigation

Overview

How each tool is described

Lily AI

What is Lily AI?


Lily AI is the company behind Lily Max, an agentic product intelligence platform that enriches retail catalogs with structured, machine-readable product data for advertising, onsite discovery, organic and AI search, and agentic shopping experiences.


  1. Product intelligence: Lily Max generates and maintains product attributes, descriptions, metadata, schema, classifications, conversational attributes, and other product signals so search engines, ad platforms, onsite systems, answer engines, and shopping agents can better understand each item and match it with shopper intent.
  2. Continuous testing workflow: goal-based agents detect gaps in existing product data, generate enrichment in consumer language, launch controlled experiments, measure performance against holdout groups, and scale winning changes across the broader catalog. Lily documents methodologies including matched-spend A/B testing and difference-in-differences analysis rather than treating generated enrichment as automatically beneficial.
  3. Channel activation: Lily Max currently supports four main surfaces: Google Ads, Meta Ads, onsite search and merchandising, and AI discovery/agentic commerce. Its AI-discovery work includes feed enrichment, metadata, schema, crawlable PDP content, and conversational attributes designed to improve product readability for systems such as Google AI experiences, ChatGPT, Gemini, Claude, and Perplexity, without guaranteeing placement or citation.
  4. Commercial considerations: Lily does not publish a fixed rate card. Pricing is tailored according to factors including catalog size, selected use cases or channels, markets and regions, and advertising spend. Lily also currently offers a free 30-day trial on 500 products for teams starting with Google Merchant Center data.


Lily AI is most relevant to retailers and brands that want to improve how their catalogs are interpreted, tested, and surfaced across paid media, onsite discovery, conventional search, and emerging AI-mediated shopping environments.


View full Lily AI 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 SoftwareLily AI
AI Personalization SoftwareKlevu
Best for
AI Personalization Software
AI Personalization Software
Score
8.1/10
8.2/10
Pricing
Contact sales
From $259/mo
Category / audience
AI Marketing & Content Software › AI Personalization Software
  • product attributes
  • retail AI
  • product intelligence
+2 more
AI Marketing & Content Software › AI Personalization Software
  • ecommerce search
  • product discovery
  • AI relevance
+2 more

Feature check

Side-by-side feature check

Feature
Lily AI
Klevu
AI Product AttributesAI generated product attributes across retail catalogs
-
Computer VisionComputer vision across product images for attributes
-
Customer IntentCustomer intent prediction across captured shopping signals
-
Search EnrichmentEnrich search relevance across ecommerce storefronts
-
Recommendation EnrichmentEnrich recommendation engines across ecommerce storefronts
-
Demand PredictionPredict demand across enriched product catalog data
-
12 capabilities compared.12 differentiating rows are shown first.

The trade-offs

Pros & cons of each tool

Trade-offs

Lily AI

Pros
  • AI native product attribute enrichment for retail commerce catalogs
  • Computer vision across product images for AI generated attributes
  • Improves downstream search and recommendations across ecommerce stack
Cons
  • Specialist tool with smaller public review base today
  • Built for retail commerce, not other vertical markets
  • Custom enterprise pricing requires sales engagement to evaluate
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 · medium confidence

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

Differentiators available

Lily AI has 4 visible decision signals and Klevu has 4.

Score signal

Klevu 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.