AI Personalization Software
Lily AI
SF 8.1AI native product attributes platform for retail
Contact sales
AI Personalization Software
Constructor.io
SF 8.3Ecommerce product discovery platform with AI ranking
Contact sales
Quick decision guide
Choose based on your workflow
Lily AI may fit better if...
- AI Product Attributes
- Computer Vision
- Customer Intent
Constructor.io may fit better if...
- AI Search Ranking
- AI Personalization
- Intent Prediction
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.
- 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.
- 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.
- 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.
- 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.
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 SoftwareLily AI
AI Personalization SoftwareConstructor.io
Best for
AI Personalization Software
AI Personalization Software
Score
8.1/10
8.3/10
Pricing
Contact sales
Contact sales
Category / audience
AI Marketing & Content Software › AI Personalization Software
- product attributes
- retail AI
- product intelligence
AI Marketing & Content Software › AI Personalization Software
- personalization
- ecommerce search
- product discovery
Feature check
Side-by-side feature check
Feature
Lily AI
Constructor.io
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
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Recommendation EnrichmentEnrich recommendation engines across ecommerce storefronts
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Demand PredictionPredict demand across enriched product catalog data
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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
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 Lily AI and Constructor.io. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Differentiators available
Lily AI 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 Lily AI if…
- AI Product Attributes
- Computer Vision
- Customer Intent
- product attributes
Choose Constructor.io if…
- AI Search Ranking
- AI Personalization
- Intent Prediction
- 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.