OpenAI ACP

OpenAI's Agentic Commerce Protocol (ACP) is the industry standard for structuring commerce discovery data, optimized specifically so that conversational interfaces and reasoning models (LLMs) can accurately comprehend, rank, and recommend merchant catalogs.

Unlike traditional SEO schemas (like basic Schema.org/Product) which were designed for static search crawlers, ACP is tailored for spatial and logical reasoning. It deeply structures product variants, hardware compatibility requirements, subjective merchant policies, and nuanced feature sets so models can dynamically reason about a product's fit for a user's highly specific, conversational query.

The Aizii network automatically bridges standard storefront data into ACP-compliant structures. This translation layer ensures that whenever a user asks an AI assistant (e.g., ChatGPT) to find a product, the Aizii-connected catalog is fully legible, accurately ranked, and seamlessly recommendable within the model's context window.

ACP enforces strict requirements for data fidelity. Incomplete ACP payloads will result in a lower confidence score from the reasoning model, severely impacting visibility. Aizii's protocols ensure that required ACP fields are continuously enriched, preventing catalog blackouts caused by missing semantic linkages.

Usage of the ACP format within the Aizii network implies consent to having product data ingested, cached, and utilized for inference by partner reasoning models. Merchants retain full ownership of their underlying IP, but grant the network the right to format and distribute this data in ACP syntax to authorized agent endpoints.