Marqo
PaidSmarter Search, Higher Conversion
About Marqo
Marqo is a platform designed to rapidly prototype, speed up iteration, and seamlessly deploy over 150 embedding models. It aims to build powerful AI applications and transform retrieval stacks, optimizing search conversion using click-stream, purchase, and event data. This creates a personalized experience that anticipates customer needs.
How to Use
Connect your product catalog and user behavior data to Marqo. The platform trains a custom LLM for your brand, and then you connect to your new AI search engine. No UI changes are needed.
Key Features
- AI-powered search
- Personalized recommendations
- Image and multimodal search
- Customizable search
- Embedding model deployment
Use Cases
- Supercharge onsite product search with AI for e-commerce
- Build chatbots, agents, and assistants that use AI
- Deliver highly personalized content recommendations
Key Features
Pros & Cons
- Trains a dedicated AI model per brand, avoiding shared or generic LLMs
- Uses real shopper data (not synthetic) for personalization and relevance
- Demonstrated significant uplifts in conversion, add-to-cart, and search revenue in production A/B tests
- Quick setup with a single line of code to capture user behavior data
- Unified platform replacing fragmented search, recommendations, and customer support tools
- Enterprise-ready with ability to handle large catalogs and traffic spikes
- Fast-moving support team with direct access to product teams (as noted in customer testimonial)
- Pricing is not publicly disclosed and requires contacting sales
- Primarily focused on ecommerce retail; applicability outside that domain is limited
- Requires integration of pixel and data collection before model training can begin
- May require significant shopper data volume to effectively train the dedicated model
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