AI Agents

You asked ChatGPT for the best espresso machine under $500 with a built-in grinder. It recommended three brands. Yours was not one of them. Your espresso machine is better reviewed, better priced, and has faster shipping. So why did the AI skip you? The answer has nothing to do with product quality and everything to do with whether your store speaks the language AI agents understand. The Problem: Your Store Was Built for Humans When a human browses your website, they see product images, read descriptions, compare prices, and add to cart. It works beautifully. But AI agents do not browse. They query structured data. ...

Shopify’s Agentic Plan is an API layer that lets third-party AI agents query your catalog. It is not a strategy for making your store discoverable, comparable, or purchasable by those agents. The plumbing is useful. The plumbing is also insufficient. If you sell on Shopify and think flipping on the Agentic Plan means ChatGPT will start recommending your products, you’re in for a surprise. The plan solves the “how does an agent access my data” problem. It does not solve the “is my data worth accessing” problem. ...

An MCP server is a standardized interface that lets AI agents talk to your store’s backend in real-time, querying products, checking inventory, and initiating actions without scraping your website or relying on proprietary APIs. For ecommerce, it means ChatGPT, Copilot, Perplexity, and every future AI shopping tool can interact with your catalog directly, accurately, and instantly. What Is the Model Context Protocol (MCP)? The Model Context Protocol is an open standard developed by Anthropic and released in late 2024. It defines how AI models connect to external data sources and tools. Think of it as USB for AI: a universal connector that lets any AI model plug into any service without custom integrations for each pair. ...