AgentPass Rebrands as Paz.ai, Launching as the Protocol Unification Platform for the AI Shopping Agent Era

AgentPass Announces Rebrand as Paz.ai

AgentPass Rebrands as Paz.ai, the Agentic Commerce Platform for Retailers

AgentPass, Inc., the agentic commerce infrastructure company, today announced it has rebranded as Paz.ai.

On March 4, 2026, agentic commerce infrastructure company AgentPass, Inc. announced its rebrand to "Paz.ai." Based in San Francisco, the company provides infrastructure that connects retailer product catalogs to AI shopping agents.

CEO Dor Shany is a serial entrepreneur with multiple exits, including the sale of Gigya to SAP and the acquisition of OwnID. He co-founded AgentPass in 2024 with co-founder and President Rooly Eliezerov. Cervin Ventures is among the company's investors.

Background and Industry Context

The problem Paz.ai aims to solve is clear. While consumers are rapidly adopting conversational AI platforms like ChatGPT, Google AI Mode, Perplexity, and Claude for product discovery and purchasing, the vast majority of retailers lack the technical means to make their catalogs visible to these AI agents.

According to OpenAI, an estimated 50 million shopping queries occur daily on ChatGPT alone. Walmart and Etsy have already begun reporting meaningful referral traffic from AI agents, and Google announced the Universal Commerce Protocol (UCP) at NRF 2026 in January 2026.

The challenge is that these platforms each adopt different protocols. OpenAI/Stripe's ACP (Agent Commerce Protocol), Google's UCP, and Anthropic's MCP (Model Context Protocol) present high barriers for retailers to address individually, both in terms of engineering resources and specialized expertise.

Paz.ai's Protocol Unification Platform: Three Core Capabilities

Paz.ai provides a "protocol unification layer" that enables retailers to distribute products across multiple AI agent channels from a single integration point. The platform's capabilities are built on three pillars.

AI Visibility Monitoring. Tracks product rankings, visibility scores, and query surface rates in real-time across AI shopping engines including ChatGPT, Google AI Mode, Perplexity, and Claude. Head-to-head win rates against competitors and multi-engine ranking comparisons are also available.

AI Catalog Optimization. Ingests existing product feeds from Shopify, Adobe Commerce (Magento), and Salesforce Commerce Cloud, then transforms them into structured content that AI agents can easily reason about and recommend. The platform employs a "human-in-the-loop" approach combining AI-powered bulk processing with human approval to ensure quality.

AI Storefronts & Checkout. Offers branded ChatGPT apps with integrated express checkout functionality as "AI Storefronts." According to Paz.ai, conversion rates through AI Storefronts are 3x higher than traditional channels.

Supported Protocols and Integrations

Paz.ai's primary differentiator is its unified support for the three major protocols.

UCP (Google) covers the complete commerce lifecycle from product discovery through post-purchase support, powering shopping experiences in Google AI Mode and the Gemini app. ACP (OpenAI/Stripe) specializes in checkout and payment flows, driving Instant Checkout. MCP (Anthropic) is a protocol for delivering rich product context to LLMs.

For e-commerce platform integrations, the system supports native Shopify integration with real-time synchronization, as well as Adobe Commerce, Salesforce Commerce Cloud, CSV uploads, and custom APIs. Shopify stores can go live in as little as one week, with other platforms operational within two weeks.

Implications and Strategies for E-commerce Businesses

The emergence of Paz.ai sends three important messages to e-commerce businesses.

"AI Visibility" Is the New SEO. Just as traditional Google search SEO was critical, product visibility on AI shopping agents is becoming a key metric for customer acquisition. The first step is understanding whether your products appear on ChatGPT and Google AI Mode, and how they rank compared to competitors.

A Unified Platform Is the Practical Solution to Protocol Fragmentation. Implementing UCP, ACP, and MCP individually is impractical, especially for mid-market e-commerce businesses. Leveraging unified platforms like Paz.ai allows businesses to support multiple AI channels while keeping engineering costs manageable.

Structured Product Data Is a Prerequisite. For AI agents to correctly identify products, accurate and structured product names, descriptions, specifications, pricing, and inventory information are essential. Before adopting tools like Paz.ai, reviewing and improving product data quality is a critical first step.

However, Paz.ai is a startup founded in 2024, and specific performance data such as number of deployed clients, processed GMV, and revenue figures have not been publicly disclosed. The agentic commerce infrastructure market itself is still in its early stages, and competitive dynamics and protocol standardization trends require close monitoring.

Summary

The rebrand from AgentPass to Paz.ai symbolizes agentic commerce's transition from concept to implementation phase. As AI shopping agents become deeply embedded in consumer purchasing processes, how retailers secure their "AI visibility" is becoming a new source of competitive advantage.

Key areas to watch going forward include the disclosure of concrete performance metrics from Paz.ai's deployed clients (AI-driven traffic and revenue contribution), and the standardization and adoption trajectories of the UCP, ACP, and MCP protocols. For e-commerce businesses, now is the time to verify whether their catalogs are "readable by AI agents" and begin taking the necessary steps.