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 <script type="application/ld+json"> 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 <a href=url>HTML links</a>."
      }
    }
  ]
}

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