Memstack Seo Schema Markup

📊 Schema Markup: Generating structured data for rich results...

Identifies applicable schema types, generates valid JSON-LD blocks, and verifies against Google's Rich Results requirements, ready to paste into page head.

Activation

When this skill activates, output:

📊 Schema Markup, Analyzing pages for schema opportunities...

Then execute the protocol below.

Anti-patterns

Protocol

For ready-to-paste JSON-LD templates covering all 10 common schema types (FAQPage, WebPage, Article, SoftwareApplication, Organization, Product, HowTo, BreadcrumbList, LocalBusiness, SpeakableSpecification) plus a combined @graph bundle, see references/schema-templates.md. The step-by-step generation logic below still applies. The reference file is a copy-paste library, not a replacement for the per-page-type mapping in Step 1.

Step 1: Identify Applicable Schema Types

Map each page type to the correct schema:

bashCopy code
# Scan for page types
find app/ pages/ -name "page.tsx" -o -name "*.tsx" 2>/dev/null | grep -v node_modules | grep -v "_\|layout\|loading\|error"

# Check for existing schema
grep -rn "application/ld+json\|schema.org" --include="*.tsx" --include="*.jsx" --include="*.html" . | grep -v node_modules

Schema type mapping:

Step 2: Generate Organization Schema

For the homepage or site-wide layout:

jsonCopy code
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "[Company Name]",
  "url": "https://[domain]",
  "logo": "https://[domain]/logo.png",
  "description": "[One-sentence company description]",
  "foundingDate": "[YYYY]",
  "sameAs": [
    "https://twitter.com/[handle]",
    "https://github.com/[org]",
    "https://linkedin.com/company/[name]"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "contactType": "customer support",
    "email": "[support@domain.com]"
  }
}

Step 3: Generate WebSite + SearchAction Schema

Enables the sitelinks search box in Google:

jsonCopy code
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "[Site Name]",
  "url": "https://[domain]",
  "potentialAction": {
    "@type": "SearchAction",
    "target": {
      "@type": "EntryPoint",
      "urlTemplate": "https://[domain]/search?q={search_term_string}"
    },
    "query-input": "required name=search_term_string"
  }
}

Note: Only add SearchAction if your site has a working search page at the specified URL.

Step 4: Generate Article Schema

For blog posts and articles:

jsonCopy code
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "[Post Title: max 110 chars]",
  "description": "[Post description: max 155 chars]",
  "image": "https://[domain]/blog/[slug]/hero.jpg",
  "datePublished": "[YYYY-MM-DDT00:00:00Z]",
  "dateModified": "[YYYY-MM-DDT00:00:00Z]",
  "author": {
    "@type": "Person",
    "name": "[Author Name]",
    "url": "https://[domain]/about"
  },
  "publisher": {
    "@type": "Organization",
    "name": "[Company Name]",
    "logo": {
      "@type": "ImageObject",
      "url": "https://[domain]/logo.png"
    }
  },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://[domain]/blog/[slug]"
  }
}

Required fields for Article rich results:

• headline (max 110 chars)
• image (at least one, must be crawlable)
• datePublished
• author.name

Step 5: Generate Product / SoftwareApplication Schema

For product or pricing pages:

jsonCopy code
{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "[Product Name]",
  "applicationCategory": "[BusinessApplication / DeveloperApplication / etc.]",
  "operatingSystem": "Web",
  "description": "[Product description]",
  "url": "https://[domain]",
  "offers": {
    "@type": "AggregateOffer",
    "lowPrice": "[lowest tier price]",
    "highPrice": "[highest tier price]",
    "priceCurrency": "USD",
    "offerCount": "[number of tiers]"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "[X.X]",
    "ratingCount": "[count]",
    "bestRating": "5"
  }
}

Only include aggregateRating if you have real reviews. Fake ratings violate Google's guidelines and risk manual action.

Step 6: Generate FAQ Schema

For FAQ pages or sections:

jsonCopy code
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "[Question text]",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "[Answer text: can include basic HTML: links, bold, lists]"
      }
    },
    {
      "@type": "Question",
      "name": "[Question text]",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "[Answer text]"
      }
    }
  ]
}

FAQ schema rules:

• Only use on pages that are primarily FAQ content
• Questions and answers must be visible on the page (not hidden behind JS)
• Don't use FAQ schema for support tickets or user-generated Q&A
• Google may show 2-4 FAQ results directly in the SERP

Step 7: Generate Breadcrumb Schema

For all pages with navigation hierarchy:

jsonCopy code
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "https://[domain]"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "Blog",
      "item": "https://[domain]/blog"
    },
    {
      "@type": "ListItem",
      "position": 3,
      "name": "[Post Title]",
      "item": "https://[domain]/blog/[slug]"
    }
  ]
}

Breadcrumb rules:

• Position starts at 1 (home) and increments
• Last item can omit item (current page)
• Must match visible breadcrumb navigation on the page

Step 8: Verify and Validate

Check all generated schema for correctness:

Validation checklist:

Testing tools:

• Google Rich Results Test: https://search.google.com/test/rich-results
• Schema.org Validator: https://validator.schema.org/
• Google Search Console: Enhancements section for schema coverage

Implementation in Next.js:

Add JSON-LD as a script tag in your page component or layout. Use JSON.stringify() on a developer-defined schema object and inject it via a <script type="application/ld+json"> element. This is safe because the data is controlled by the developer, not user input.

Step 9: Output Schema Blocks

Copy code
📊 Schema Markup: Complete

Pages analyzed: [count]
Schema blocks generated: [count]

Schema by page:
  / (homepage)     → Organization, WebSite + SearchAction, BreadcrumbList
  /pricing         → SoftwareApplication + Offer, BreadcrumbList
  /blog/[slug]     → Article, BreadcrumbList
  /faq             → FAQPage, BreadcrumbList
  /contact         → LocalBusiness, BreadcrumbList

Rich result eligibility:
  ✅ Sitelinks search box (WebSite + SearchAction)
  ✅ Article rich results (Article schema)
  ✅ FAQ dropdowns (FAQPage schema)
  ✅ Software/product info (SoftwareApplication)
  ✅ Breadcrumb trail (BreadcrumbList)

Next steps:
1. Add generated JSON-LD to each page
2. Test with Google Rich Results Test
3. Deploy and monitor in Search Console → Enhancements
4. Rich results may take days to weeks to appear after indexing

Level History

• Lv.1: Base: Schema type identification by page type, JSON-LD generation (Organization, WebSite, Article, SoftwareApplication, FAQPage, BreadcrumbList), Google Rich Results verification checklist, ready-to-paste code blocks. (Origin: MemStack Pro v3.2, Mar 2026)