Schema Markup Generator

Schema Markup Generator

Generate JSON-LD structured data for rich results, AI citations, and enhanced search visibility.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/schema-markup-generator ~/.claude/skills/

When to Use

• Adding structured data to new or existing pages
• Generating JSON-LD for specific schema types
• Auditing existing schema for errors or missing fields
• Improving AI search visibility (pairs with aeo-geo-optimizer)
• Enabling rich results (FAQ dropdowns, star ratings, how-to steps)

Workflow

Step 1: Identify Content Type

| Content | Primary Schema | Rich Result | |---------|---------------|------------| | Blog post | Article | Enhanced listing with author, date | | FAQ section | FAQPage | Expandable Q&A in SERPs | | Tutorial | HowTo | Step-by-step with images/time | | Product page | Product | Price, availability, ratings | | Review | Review + Rating | Star ratings in SERPs | | Recipe | Recipe | Cooking time, ingredients, ratings | | Event | Event | Date, location, ticket info | | Local business | LocalBusiness | Maps, hours, contact | | Person/author | Person | Knowledge panel | | Breadcrumbs | BreadcrumbList | Breadcrumb trail in SERPs | | Video | VideoObject | Video carousel, thumbnails | | Software | SoftwareApplication | App info in SERPs | | Course | Course | Course info in SERPs | | Dataset | Dataset | Dataset search results |

Step 2: Generate JSON-LD

Generate a `` block with all required and recommended fields for the schema type. Always use JSON-LD format (not Microdata or RDFa).

Step 3: Validate

• Google Rich Results Test: https://search.google.com/test/rich-results
• Schema.org Validator: https://validator.schema.org/
• Check Google Search Console for structured data errors

Schema Templates

Article

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Article Title (max 110 chars)",
  "description": "Brief description of the article",
  "author": {
    "@type": "Person",
    "name": "Author Name",
    "url": "https://example.com/author/name",
    "jobTitle": "Author Title",
    "sameAs": ["https://linkedin.com/in/author", "https://twitter.com/author"]
  },
  "publisher": {
    "@type": "Organization",
    "name": "Publisher Name",
    "logo": {"@type": "ImageObject", "url": "https://example.com/logo.png"}
  },
  "datePublished": "2026-03-18T00:00:00Z",
  "dateModified": "2026-03-18T00:00:00Z",
  "image": "https://example.com/article-image.jpg",
  "mainEntityOfPage": {"@type": "WebPage", "@id": "https://example.com/article-url"}
}

FAQPage

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is the question?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The complete answer text. Can include HTML links."
      }
    }
  ]
}

HowTo

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Do Something",
  "description": "Brief description",
  "totalTime": "PT30M",
  "estimatedCost": {"@type": "MonetaryAmount", "currency": "USD", "value": "0"},
  "step": [
    {
      "@type": "HowToStep",
      "name": "Step 1 Title",
      "text": "Detailed step instructions",
      "image": "https://example.com/step1.jpg"
    }
  ]
}

Product

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Product Name",
  "description": "Product description",
  "image": "https://example.com/product.jpg",
  "brand": {"@type": "Brand", "name": "Brand Name"},
  "sku": "SKU-12345",
  "offers": {
    "@type": "Offer",
    "price": "29.99",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock",
    "url": "https://example.com/product"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.5",
    "reviewCount": "127"
  }
}

BreadcrumbList

{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {"@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com"},
    {"@type": "ListItem", "position": 2, "name": "Category", "item": "https://example.com/category"},
    {"@type": "ListItem", "position": 3, "name": "Current Page"}
  ]
}

Required vs Recommended Fields

| Schema Type | Required Fields | Recommended Fields | |------------|----------------|-------------------| | Article | headline, author, datePublished, image | dateModified, publisher, description | | FAQPage | mainEntity (Question + Answer) | — | | HowTo | name, step | totalTime, estimatedCost, image | | Product | name, offers (price + currency + availability) | brand, sku, aggregateRating, image | | LocalBusiness | name, address | phone, hours, geo, image, priceRange | | Event | name, startDate, location | endDate, offers, image, performer | | Person | name | jobTitle, url, sameAs, image |

Common Mistakes

1. Missing required fields — always check per-type requirements
2. Incorrect date format — use ISO 8601 (YYYY-MM-DDTHH:MM:SSZ)
3. Markup does not match visible content — schema must reflect what users see
4. Using Microdata instead of JSON-LD — Google recommends JSON-LD
5. Nesting errors — validate JSON syntax before deploying
6. Duplicate schema — one schema block per type per page
7. Self-referencing Organization — publisher should be the organization, not the page

Integration with Other Skills

• aeo-geo-optimizer — Schema is a key AEO signal; implement types recommended by the AEO audit
• technical-seo-audit — Audit identifies missing/broken schema; this skill generates the fixes
• seo-content-writer — Content structure should align with schema structure

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: thatrebeccarae
• Source: thatrebeccarae/claude-marketing
• License: MIT

Install and usage instructions live in the source repository linked above.