Memstack memstack-seo-schema-markup
Use this skill when the user says 'add schema', 'schema markup', 'JSON-LD', 'structured data', 'rich results', 'rich snippets', or is adding or fixing schema.org structured data for better search result appearance. Do NOT use for meta tag optimization or full SEO audits.
git clone https://github.com/cwinvestments/memstack
T=$(mktemp -d) && git clone --depth=1 https://github.com/cwinvestments/memstack "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/seo-geo/schema-markup" ~/.claude/skills/cwinvestments-memstack-memstack-seo-schema-markup && rm -rf "$T"
skills/seo-geo/schema-markup/SKILL.md📊 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.
| Context | Status |
|---|---|
| User says "add schema" or "schema markup" or "JSON-LD" | ACTIVE |
| User says "structured data" or "rich results" or "rich snippets" | ACTIVE |
| Adding or fixing schema.org data on any page | ACTIVE |
| Doing a full SEO audit (broader scope) | DORMANT — use site-audit |
| Optimizing meta tags (not schema) | DORMANT — use meta-tag-optimizer |
Anti-patterns
| Trap | Reality Check |
|---|---|
| "Schema is optional" | Pages with schema get rich results. Pages without get plain blue links. Rich results get 2-3x more clicks. |
| "Add every schema type" | Only add schema that matches actual page content. Irrelevant schema triggers manual actions from Google. |
| "Microdata is fine" | Google recommends JSON-LD. It's cleaner, easier to maintain, and separated from HTML. Use JSON-LD only. |
| "Copy schema from another site" | Schema must reflect YOUR content. Copying schema with different data violates Google's guidelines. |
| "Schema guarantees rich results" | Schema makes you eligible. Google decides whether to show rich results based on quality and relevance. |
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:
# 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:
| Page Type | Primary Schema | Additional Schema | Rich Result |
|---|---|---|---|
| Homepage | + | | Sitelinks search box |
| About | | (for founders) | Knowledge panel |
| Product/Pricing | | , | Product rich results (price, rating) |
| Blog post | | (author), | Article rich results |
| FAQ page | | — | FAQ dropdowns in SERP |
| How-to guide | | | How-to rich results |
| Contact/Local | | , | Local pack |
| SaaS/Software | | | Software rich results |
| Event page | | , | Event rich results |
| Recipe | | | Recipe card |
| All pages | | — | Breadcrumb trail |
Step 2: Generate Organization Schema
For the homepage or site-wide layout:
{ "@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:
{ "@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:
{ "@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:
(max 110 chars)headline
(at least one, must be crawlable)imagedatePublishedauthor.name
Step 5: Generate Product / SoftwareApplication Schema
For product or pricing pages:
{ "@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
if you have real reviews. Fake ratings violate Google's guidelines and risk manual action.aggregateRating
Step 6: Generate FAQ Schema
For FAQ pages or sections:
{ "@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:
{ "@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
(current page)item - Must match visible breadcrumb navigation on the page
Step 8: Verify and Validate
Check all generated schema for correctness:
Validation checklist:
| Check | How | Pass Criteria |
|---|---|---|
| Valid JSON | JSON.parse() | No syntax errors |
| Required fields | Compare to Google's requirements | All required fields present |
| URLs are absolute | Check all and fields | Start with |
| Dates are ISO 8601 | Check , | Format: |
| Images are crawlable | URLs are accessible, not behind auth | Returns 200 |
| Content matches page | Schema data matches visible content | No mismatches |
| No duplicate types | One schema per type per page | No conflicts |
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
📊 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)