Paz.ai is an agentic commerce platform that connects retail product catalogs to AI shopping agents across ChatGPT, Google AI Mode, Perplexity, Microsoft Copilot, and other AI-powered shopping channels. The platform addresses a critical challenge: as consumers shift from searching Google to asking AI agents for product recommendations, retailers need their catalogs to be machine-readable, protocol-compliant, and optimized for AI comprehension. Paz.ai handles all three through a unified integration. Three-Layer Architecture: Get Found (Visibility): Paz.ai ingests existing product feeds from Shopify, Adobe Commerce, Salesforce Commerce Cloud, or any PIM system and generates protocol-compliant feeds for ACP, MCP, UCP, and AP2. Retailers don't need to build separate integrations for each AI platform. Get Recommended (Optimization): AI-powered catalog enhancement transforms basic product data into rich, attribute-packed descriptions that AI agents prefer. The platform auto-fixes compliance issues, fills data gaps, and optimizes descriptions for natural language queries. All changes go through a human-in-the-loop approval workflow. Get Sold (Agentic Storefront): Launch branded ChatGPT Apps with custom UI, enable express checkout flows, and integrate loyalty programs — all within AI chat interfaces. Customers browse, buy, and track orders without leaving the conversation.