AgentReady

Live demo

See exactly what AI reads on your store

A shopper sees a product page. An AI agent sees whatever machine layer sits behind it. AgentReady writes that layer for you. Here is the same product before and after, then you can run the check on your own store.

Before

What agents see today

Presentation markup with no machine-readable facts. An agent has to guess the price, brand, and availability.

<div class="product">
  <h1>Trail Runner 2</h1>
  <p>$140.00</p>
  <button>Add to cart</button>
</div>

After

What AgentReady publishes

Valid Product JSON-LD with brand, price, availability, and ratings, so agents and search engines read the facts directly.

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Trail Runner 2",
  "brand": { "@type": "Brand", "name": "Northbound" },
  "offers": {
    "@type": "Offer",
    "price": "140.00",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.7", "reviewCount": "213"
  }
}

One edit, three machine-readable layers

Author your catalog once. AgentReady keeps all three layers in sync through Shopify webhooks, so the facts stay current everywhere agents look.

Structured data for search

Every product, collection, and page gets valid Schema.org JSON-LD, so Google can show rich results and AI answer engines can parse the facts.

Agent surfaces for AI assistants

An llms.txt index, a markdown twin of every product page, a product feed, and a private MCP endpoint, the surfaces ChatGPT, Perplexity, and Claude actually fetch.

Proof you can verify

The readiness audit crawls your live storefront the way GPTBot does and confirms the markup is really there, then logs real agent visits in your dashboard.

Run the same read on your own store

The free AI-readiness checker fetches your storefront the way an AI agent does and scores what it finds, in seconds, no install required.