Turn Your Store Into An AI Sales Agent
Grade: B — Score: 70/100
Recomaze utilizes advanced AI technology to analyze and optimize product catalogs, ensuring that all data is clear, complete, and ready for AI interpretation. This includes fixing vague titles, missing attributes, and thin descriptions that hinder AI performance.
The workflow involves a seamless integration with e-commerce platforms like Shopify, WooCommerce, and BigCommerce, allowing users to conduct a free AI Discoverability Audit. This audit provides actionable insights and a prioritized action plan to enhance product visibility and sales potential.
Risks associated with AI sales agents often stem from poor data quality. Recomaze mitigates these risks by ensuring that product information is consistent and comprehensive, thus improving the accuracy of AI responses and recommendations.
Free: $0/month
Fast Growing: $39/month
Scaling: $109/month
Hyper Scaling: $399/month
Enterprise: Custom pricing
Consider switching to Gorgias: Gorgias offers customer support automation but lacks the specific AI sales optimization features of Recomaze.
Recomaze takes a fundamentally different approach. While Nosto (typically 2.5–4% of attributed revenue) and Dynamic Yield (custom enterprise pricing) focus on behavioral segmentation and on-site experience optimization, Recomaze focuses upstream on making your product catalog AI-ready so that LLMs, AI assistants, and search engines can understand and recommend your products. Recomaze starts at $0/month for a 50-product audit and $39/month for the AI Sales Agent, making it significantly more accessible than enterprise platforms. However, Recomaze does not offer email personalization, A/B testing, or cross-channel campaign orchestration — it focuses specifically on catalog optimization and conversational product discovery.
Recomaze offers native integrations for Shopify, WooCommerce, and BigCommerce, with setup completing in approximately 2 minutes and no code changes required. For other platforms, Recomaze supports API access and CSV imports. Enterprise customers can request custom integrations for proprietary or headless commerce setups. The AI Commerce OS layer uses universal APIs and MCP (Model Context Protocol) to feed AI-ready product data to any external system.
No. Recomaze generates suggestions and enhancements — AI-ready titles, optimized descriptions, Q&A snippets — that you review and approve before applying. You maintain full control over what changes are pushed to your catalog. The platform supports bulk updates for titles, descriptions, and Q&A, but these are opt-in actions, not automatic overwrites.
The audit scans your product catalog and generates an AI Readiness Score (0-100) across 12 dimensions including titles, descriptions, attributes, images, and structured data. It identifies critical blockers — missing attributes, weak titles, thin descriptions, broken structured data — and estimates what percentage of customer questions AI can answer before and after fixes. You receive a prioritized action plan ranked by effort vs. impact, plus a downloadable CSV of suggested fixes. The initial audit covers up to 50 products free and completes in 2-4 minutes.
The AI Sales Agent is a conversational concierge deployed on your storefront that understands natural-language shopper queries — for example, 'going to a winter wedding, need something warm but elegant.' It recommends matching products, handles real-time objections about shipping, sizing, and returns, and suggests alternatives or bundles when items are unavailable. The agent respects your business rules including stock levels, variants, and filters. It is available on the Fast Growing plan ($39/month) and above. Recomaze reports a 92% AI answer rate and +23% agent-influenced revenue across deployed stores.
The AI Commerce OS is a middleware layer that centralizes your cleaned, AI-ready product knowledge and distributes it to any connected AI touchpoint via universal APIs and MCP (Model Context Protocol). Instead of fixing product data separately for your on-site agent, external chatbots, and AI search engines, you fix it once in Recomaze and every connected system receives the same structured information with real-time sync. MCP support enables integration with AI assistants that use the protocol for tool-based data retrieval.
No. Recomaze's personalization engine operates entirely without cookies. It analyzes non-personal interaction data — product likes, dislikes, shares, searches, and engagement signals — to power recommendations in real-time. No personally identifiable information is collected from shoppers. This cookie-free approach aligns with GDPR requirements and avoids consent-banner dependencies that can reduce conversion rates on traditional recommendation platforms.
Yes. Recomaze complements existing chatbots by providing AI-ready product knowledge through its API layer. You can use the Recomaze AI Sales Agent for product-specific questions and recommendations while keeping your current bot for customer service tasks like order tracking or support tickets. Many customers run both — the Recomaze agent handles product discovery and sales, while their existing chatbot covers general support workflows.