

Recomaze AI Agent
Turn Your Store Into An AI Sales Agent. Recomaze scans your catalog, fixes what AI and search can’t understand, and powers a conversational AI agent that helps shoppers find and buy the right products.
Cost / License
- Subscription
- Proprietary
Platforms
- Online
- BigCommerce
- Shopify
- Software as a Service (SaaS)
- Wordpress
Features
Recomaze AI Agent News & Activities
Recent activities
alexandreoliveira added Recomaze AI Agent as alternative to Viglet Turing
Recomaze added Recomaze AI Agent as alternative to Ubersuggest
Recomaze added Recomaze AI Agent as alternative to Nosto
Recomaze added Recomaze AI Agent as alternative to Algolia- Recomaze updated Recomaze AI Agent
- Recomaze updated Recomaze AI Agent
- Recomaze updated Recomaze AI Agent
Recomaze AI Agent information
What is Recomaze AI Agent?
What Recomaze is
Recomaze turns an online store into an AI Sales Agent: AI Discoverability: Recomaze audits and upgrade product data so AI systems can correctly understand and recommend products On-site AI Concierge / Sales Agent: It is a shopper-facing assistant that answers product questions and guides shoppers to the right items using the store’s real catalog + policies Continuous monitoring: Recomaze keeps the catalog “AI-ready” as products and inventory change The problem Recomaze solves Stores lose sales because their catalog is not AI-readable: missing / inconsistent attributes and variants weak titles and descriptions for AI reasoning no structured Q&A knowledge (shipping, returns, sizing, materials, care) That causes wrong AI answers, weak product matching, and more drop-off. Partner-facing entry point (no plugin required) Recomaze provides an external AI Discoverability Audit that can be run for merchants: audit.recomaze.ai
In minutes it outputs an AI Readiness Score, key blockers, real examples of failures, and a prioritized fix plan. How Recomaze is different from similar tools Data-first, not chatbot-first: It fixes catalog structure so AI can be accurate (then the agent performs) Proof-driven: the audit shows concrete failures + what to fix first Operational at scale: bulk improvements + monitoring, not one-off “copy tweaks”






