Schema Markup Analysis & Generation

Detection

1. Scan page source for JSON-LD

   <script type="application/ld+json">

2. Check for Microdata (

   itemscope

   ,

   itemprop

   )
3. Check for RDFa (

   typeof

   ,

   property

   )
4. Always recommend JSON-LD as primary format (Google's stated preference)

Validation

• Check required properties per schema type
• Validate against Google's supported rich result types
• Test for common errors:
  • Missing @context
  • Invalid @type
  • Wrong data types
  • Placeholder text
  • Relative URLs (should be absolute)
  • Invalid date formats
• Flag deprecated types (see below)

Schema Type Status (as of Feb 2026)

references/schema-types.md

ACTIVE — recommend freely:

VIDEO & SPECIALIZED — recommend freely:

schema/templates.json

JSON-LD and JavaScript rendering: Per Google's December 2025 JS SEO guidance, structured data injected via JavaScript may face delayed processing. For time-sensitive markup (especially Product, Offer), include JSON-LD in the initial server-rendered HTML.

RESTRICTED — only for specific sites:

• FAQ: ONLY for government and healthcare authority sites (restricted Aug 2023)

DEPRECATED — never recommend:

• HowTo: Rich results removed September 2023
• SpecialAnnouncement: Deprecated July 31, 2025
• CourseInfo, EstimatedSalary, LearningVideo: Retired June 2025
• ClaimReview: Retired from rich results June 2025
• VehicleListing: Retired from rich results June 2025
• Practice Problem: Retired from rich results late 2025
• Dataset: Retired from rich results late 2025
• Book Actions: Deprecated then reversed — still functional as of Feb 2026 (historical note)

Generation

1. Identify page type from content analysis
2. Select appropriate schema type(s)
3. Generate valid JSON-LD with all required + recommended properties
4. Include only truthful, verifiable data — use placeholders clearly marked for user to fill
5. Validate output before presenting

Common Schema Templates

Organization

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "[Company Name]",
  "url": "[Website URL]",
  "logo": "[Logo URL]",
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "[Phone]",
    "contactType": "customer service"
  },
  "sameAs": [
    "[Facebook URL]",
    "[LinkedIn URL]",
    "[Twitter URL]"
  ]
}

LocalBusiness

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "[Business Name]",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "[Street]",
    "addressLocality": "[City]",
    "addressRegion": "[State]",
    "postalCode": "[ZIP]",
    "addressCountry": "US"
  },
  "telephone": "[Phone]",
  "openingHours": "Mo-Fr 09:00-17:00",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": "[Lat]",
    "longitude": "[Long]"
  }
}

Article/BlogPosting

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "[Title]",
  "author": {
    "@type": "Person",
    "name": "[Author Name]"
  },
  "datePublished": "[YYYY-MM-DD]",
  "dateModified": "[YYYY-MM-DD]",
  "image": "[Image URL]",
  "publisher": {
    "@type": "Organization",
    "name": "[Publisher]",
    "logo": {
      "@type": "ImageObject",
      "url": "[Logo URL]"
    }
  }
}

Output

• SCHEMA-REPORT.md

  — detection and validation results

• generated-schema.json

  — ready-to-use JSON-LD snippets

Validation Results

Recommendations

• Missing schema opportunities
• Validation fixes needed
• Generated code for implementation