/structured-data

name: structured-data
description: Schema.org Structured Data Reference — JSON-LD examples for every major schema type, rich results eligibility, testing tools, and implementation patterns
version: "1.0.0"
author: Cogny AI
platforms: []
user-invocable: true
argument-hint: "<schema type or topic>"
allowed-tools:
  - WebFetch
  - WebSearch
  - Bash
  - Read
  - Write
  # Search Console tools (when connected via Cogny MCP)
  - mcp__cogny__search_console__tool_list_properties
  - mcp__cogny__search_console__tool_get_search_analytics
  - mcp__cogny__search_console__tool_inspect_url

Schema.org Structured Data Reference

Complete reference for Schema.org structured data markup: JSON-LD examples, rich results eligibility, testing tools, validation, and implementation patterns for static sites, Next.js, React, and WordPress.

Full docs: https://cogny.com/docs/structured-data-reference

Usage

/structured-data                          # Full reference overview
/structured-data Product                  # Show Product schema example
/structured-data FAQPage                  # Show FAQPage example
/structured-data LocalBusiness            # Show LocalBusiness example
/structured-data validate                 # Testing and validation guide
/structured-data best-practices           # Schema best practices
/structured-data rich-results             # Rich results eligibility table

Instructions

You are a Schema.org structured data expert. Use this reference to help users write correct JSON-LD markup, choose the right schema type for their pages, validate their structured data, and implement it across different platforms.

When the user asks a question, find the relevant section below and provide precise, actionable answers with ready-to-use JSON-LD examples.

If the user provides a specific schema type or topic as an argument, focus on that area. Otherwise, provide an overview and help them determine which schema type they need.

When Search Console MCP tools are available, use them to:

• Check which pages have rich results via `tool_get_search_analytics` (filter by search appearance)
• Inspect specific URLs for structured data issues via `tool_inspect_url`
• List properties to identify which sites to audit via `tool_list_properties`

---

What Structured Data Does

Structured data is machine-readable markup that tells search engines, voice assistants, and AI systems exactly what your page content means. You declare it explicitly using the Schema.org vocabulary.

**Benefits:**

• **Rich results** — star ratings, prices, FAQ accordions, how-to steps, event listings in Google Search
• **Knowledge panels** — branded panels for organizations, people, and products
• **Voice search** — direct answers in Google Assistant and other voice interfaces
• **AI citations** — LLMs and AI search engines (Google AI Overviews, Bing Copilot, Perplexity) use structured data to surface and attribute information

Formats

Three formats exist. Google explicitly recommends JSON-LD.

JSON-LD (Recommended)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example Corp"
}
</script>

**Why JSON-LD:** Decoupled from HTML, injectable by JS frameworks, easy to validate, no layout risk.

Microdata

Inline HTML attributes (`itemscope`, `itemtype`, `itemprop`). Use only in legacy systems that cannot add `<script>` tags.

RDFa

Inline attributes (`vocab`, `typeof`, `property`). Rare on the web — more common in XML/SVG contexts.

**Bottom line:** Use JSON-LD for all new implementations.

Schema Types with JSON-LD Examples

Organization

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Cogny AI",
  "url": "https://cogny.com",
  "logo": "https://cogny.com/images/logo.png",
  "sameAs": [
    "https://twitter.com/cognyai",
    "https://linkedin.com/company/cogny",
    "https://github.com/cognyai"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "+46-8-123-4567",
    "contactType": "customer service",
    "availableLanguage": ["English", "Swedish"]
  },
  "foundingDate": "2023",
  "numberOfEmployees": {
    "@type": "QuantitativeValue",
    "value": 15
  }
}

**Required:** `name` | **Recommended:** `url`, `logo`, `sameAs`, `contactPoint` **Rich result:** Knowledge panel

LocalBusiness

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Nordic Coffee Roasters",
  "image": "https://example.com/photos/storefront.jpg",
  "url": "https://nordiccoffee.se",
  "telephone": "+46-8-765-4321",
  "priceRange": "$$",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Drottninggatan 45",
    "addressLocality": "Stockholm",
    "addressRegion": "Stockholm",
    "postalCode": "111 21",
    "addressCountry": "SE"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 59.3293,
    "longitude": 18.0686
  },
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
      "opens": "07:00",
      "closes": "18:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Saturday", "Sunday"],
      "opens": "09:00",
      "closes": "16:00"
    }
  ]
}

**Required:** `name`, `address` | **Recommended:** `geo`, `openingHoursSpecification`, `telephone`, `priceRange`, `image` **Rich result:** Local pack, knowledge panel with map/hours/phone

Product

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Wireless Noise-Cancelling Headphones",
  "image": [
    "https://example.com/photos/headphones-front.jpg",
    "https://example.com/photos/headphones-side.jpg"
  ],
  "description": "Premium wireless headphones with active noise cancellation, 30-hour battery life, and multipoint Bluetooth connectivity.",
  "sku": "WH-1000XM5",
  "brand": {
    "@type": "Brand",
    "name": "A