The agent data layer
The data layer agents read to recommend your store
Autonomous shoppers don't browse your theme. They read structured data, and they reach your store through Shopify's native shopper MCP and the open web (ChatGPT, Perplexity, Claude, Gemini), not a URL you paste anywhere. AgentReady writes the layer all of those surfaces read: clean product schema, FAQs, reviews, agents.md, and llms.txt, sourced from your real store and kept honest. That data layer is the moat. The cleaner and more complete it is, the more often an agent picks you.
See it, don't take our word
One data layer, every agent surface
This is the layer AgentReady writes into your store: product schema with offers and ratings, FAQ answers, and the agents.md/llms.txt brief. The same facts feed Shopify's native shopper MCP and the open-web assistants, so whichever surface a shopper uses, your store reads clean.
Generated from your real catalog, policies, and reviews. The structured-data feed every AI agent surface reads, not a single endpoint you have to register.
The moat is the data, not an endpoint
Shopify already ships a native shopper MCP that transacts and is auto-discoverable, and assistants on the open web crawl your storefront directly. What decides whether they recommend you is the same thing in every case: the quality of the structured data they read. AgentReady's job is that data layer, the product schema with real offers and ratings, the FAQ answers, the subscription terms, the locations, and the agents.md/llms.txt brief, written from your real store, validated before it ships, and kept current by webhooks.
Because it's one honest source feeding every surface, you don't pick a channel. The same clean data makes you legible to Shopify's native MCP, to ChatGPT and Perplexity and Claude, and to whatever agent launches next.
Proof agents are reading it
Every fetch of your agent surfaces is logged server-side, with the requesting agent identified by user agent. The dashboard shows which assistants visit, how often, and what they read, measured on your own infrastructure, not estimated. The first time an AI agent reads your store, you'll know.
A private MCP server for your own AI tools
Separate from the data layer above, AgentReady hosts a private MCP server for your store. It's for your own tooling: paste the URL into Claude Desktop or Cursor and your assistant gets read-only access to your live products, policies, and brand info, straight from the source, handy for research and ops. It sits alongside Shopify's native shopper MCP; it doesn't replace it and isn't how shoppers reach your store. Read-only by design, no scraping.
An optional feed for partner programs
When a partner program (like OpenAI's merchant onboarding) explicitly asks for a hosted product feed URL, AgentReady serves a spec-conformant agentic-commerce feed of your catalog: stable IDs, variant-level prices and availability, media, and identifiers, refreshed continuously. Most stores reach ChatGPT through Shopify's own sales-channel sync and never need it, so it's there for the partner flows that require a URL.
Frequently asked questions
Isn't an MCP server the headline here?
No. Our MCP server is a private, read-only endpoint for your own AI tools (Claude, Cursor) to research your catalog and policies. It's a useful extra, not the shopper channel. Shopify's native MCP is what transacts and is auto-discoverable. The headline is the data layer: the structured data, FAQs, reviews, and agents.md/llms.txt AgentReady writes, which every agent surface reads to decide whether to recommend you.
How do shoppers' AI agents actually reach my store?
Two ways, and AgentReady feeds both. Shopify's native shopper MCP and Catalog sync put your products in front of agentic checkout; and open-web assistants (ChatGPT, Perplexity, Claude, Gemini) read your storefront and your agents.md/llms.txt directly. The common ingredient is clean structured data, which is exactly what AgentReady writes.
Is agent traffic measured with a tracking pixel?
No. AI crawlers don't execute JavaScript, so pixels can't see them. AgentReady logs requests server-side on the surfaces it serves, which is why its numbers are verifiable rather than modeled.
Which agents show up in analytics?
Any bot that fetches your agent surfaces, identified by its published user agent: GPTBot and ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, Bingbot, and the long tail as it emerges.
What can the private MCP server actually do?
List and search products, fetch one product's full detail (price, availability, variants, images, subscription options), and read your policies and brand identity, read-only. It's for wiring your own assistant into your store, not for shoppers; checkout always stays on your storefront.
Related features
Product, FAQ, local business, and breadcrumb schema generated from real store data and kept honest.
The canonical file AI shopping agents read to understand and transact with your store. Free, brand-specific, kept current.
A store-knowledge file AI assistants read first: catalog, policies, FAQs, locations, in one fetch.
Make your store readable to AI agents
Install on Shopify, AI-readable in about ten minutes, with the proof in your dashboard.