{
  "type": "AgentMintBlueprint",
  "schemaVersion": "1.0",
  "slug": "product-markdown-mirror",
  "title": "Product markdown-mirror template",
  "description": "A copy-paste per-product Markdown mirror template, ordered by our reasoned decision weight to lead with the facts that drive selection.",
  "version": "1.1",
  "canonicalUrl": "https://agentmint.net/blueprints/product-markdown-mirror/",
  "markdownMirror": "https://agentmint.net/blueprints/product-markdown-mirror.md",
  "author": "Abdalsalaam Halawa",
  "datePublished": "2026-07-08",
  "dateModified": "2026-07-08",
  "lastVerified": "2026-07-08",
  "targetQuery": "product markdown for AI agents",
  "aeoAnswer": "A product markdown mirror is a plain .md copy of a product page ordered by decision weight: identifiers, specs, price, availability, shipping and returns first, marketing prose last or omitted. Copy the template below.",
  "tags": [
    "markdown-mirror",
    "machine-surfaces",
    "product-data",
    "information-density",
    "content-negotiation"
  ],
  "platforms": [],
  "primarySources": [
    "https://developers.google.com/search/docs/essentials/spam-policies",
    "https://developer.mozilla.org/en-US/docs/Web/HTTP/Guides/Content_negotiation",
    "https://vercel.com/blog/making-agent-friendly-pages-with-content-negotiation",
    "https://pronovix.com/articles/how-serve-markdown-ai-agents-without-breaking-your-seo"
  ],
  "siblings": [
    "token-efficient-product-json-ld",
    "llms-txt-for-ecommerce-catalogs",
    "edge-worker-machine-surfaces",
    "handbook/information-density",
    "make-product-feed-ai-readable"
  ],
  "changelog": [
    {
      "date": "2026-07-08",
      "version": "1.1",
      "note": "Re-verified 2026-07-08 that no named shopping agent documents fetching product Markdown, and added Google's AI-optimization-guide statement as a sourced claim in the honest-boundary section."
    },
    {
      "date": "2026-07-08",
      "version": "1.0",
      "note": "Initial publication."
    }
  ]
}