structured-data

Schema.org Structured Data Reference — JSON-LD examples for every major schema type, rich results eligibility, testing tools, and implementation patterns

Files1

View on GitHub

SKILL.md

GitHub

Schema.org Structured Data Reference

Complete reference for Schema.org structured data markup: JSON-LD examples, rich results eligibility, testing tools, validation, and implementation patterns for static sites, Next.js, React, and WordPress.

Full docs: https://cogny.com/docs/structured-data-reference

Usage

/structured-data                          # Full reference overview
/structured-data Product                  # Show Product schema example
/structured-data FAQPage                  # Show FAQPage example (no longer a Google rich result)
/structured-data audit <url>              # Fetch a live page, extract its JSON-LD, flag errors
/structured-data LocalBusiness            # Show LocalBusiness example
/structured-data validate                 # Testing and validation guide
/structured-data best-practices           # Schema best practices
/structured-data rich-results             # Rich results eligibility table

Instructions

You are a Schema.org structured data expert. Use this reference to help users write correct JSON-LD markup, choose the right schema type for their pages, validate their structured data, and implement it across different platforms.

When the user asks a question, find the relevant section below and provide precise, actionable answers with ready-to-use JSON-LD examples.

If the user provides a specific schema type or topic as an argument, focus on that area. Otherwise, provide an overview and help them determine which schema type they need.

If Cogny isn't connected, skip the Search Console steps below and note what connecting adds (which pages actually earn rich results, Google's own parse of the URL).

When Search Console MCP tools are available, use them to:

  • Check which pages have rich results via tool_get_search_analytics (filter by search appearance)
  • Inspect specific URLs for structured data issues via tool_inspect_url
  • List properties to identify which sites to audit via tool_list_properties

Works with

Writing and validating JSON-LD needs no accounts. Connected providers let you build markup from the real source data instead of a template, and check it in both search engines.

Job Primary Also answers it No account
Is markup seen / rich results earned Google Search Console (tool_inspect_url, tool_get_search_analytics) Bing Webmaster (tool_get_url_info, tool_get_crawl_issues) /structured-data audit <url> (curl), Schema Markup Validator; Rich Results Test needs a browser
Product, Offer, AggregateRating values Shopify (tool_list_products, tool_get_product, tool_get_metafields for review data) WooCommerce (list_products, list_product_variations, list_product_reviews) WebFetch the product page
Article / BlogPosting values WordPress (list_posts), Ghost (list_posts), Sanity (tool_list_documents), Contentful (contentful_list_entries) — WebFetch the article

Enhanced when a store or CMS is connected: If Cogny isn't connected, skip this and note what connecting adds (markup built from the real catalogue or CMS, and drift between source data and live markup).

  1. Pull the items (all tools take the mcp__cogny__mcp__<Prefix>__ prefix, e.g. mcp__cogny__mcp__Shopify__tool_list_products with first: 50).
  2. Map fields to schema: title → name, price + currency → offers.price / priceCurrency (from the store, never assumed USD), inventory → availability, SKU/GTIN → sku/gtin, published/updated dates → datePublished/dateModified.
  3. Fetch each live page with Bash curl (WebFetch summarises and drops <script> blocks) and diff its JSON-LD against the source: wrong price, stale availability or a rating that doesn't match the reviews are policy risks, not just bugs.
  4. Output a fix list plus ready-to-paste JSON-LD per template (not per item).

Writing markup back (Shopify__tool_set_metafields, CMS updates) or pushing it to Bing (Bing_Webmaster_Tools__tool_submit_content with structured_data) are writes: draft them and ask first.

Audit a live page (/structured-data audit <url>)

Works with zero accounts. WebFetch can't see <head> or <script> content, so use curl:

U="<url>"
curl -sL -A "Mozilla/5.0" "$U" -o page.html
python3 -I - page.html <<'PY'
import json, re, sys
html = open(sys.argv[1], encoding="utf-8", errors="replace").read()
blocks = re.findall(r'<script[^>]+application/ld\+json[^>]*>(.*?)</script>', html, re.S | re.I)
print(f"{len(blocks)} JSON-LD block(s)")
for i, b in enumerate(blocks):
    try:
        print(f"--- block {i}\n" + json.dumps(json.loads(b), indent=2)[:4000])
    except ValueError as e:
        print(f"--- block {i}: INVALID JSON ({e})")
PY

Then validate each entity against the type's section below and Google's docs, and check for these common errors:

Check How Why it matters
JSON parses Script above One syntax error drops the whole block
Required properties present Compare with the type section below Missing required = no rich result
logo / image URLs resolve curl -sI -o /dev/null -w "%{http_code} %{content_type}\n" <url> on each A 404 logo or an HTML page served as image is a common, silent failure
Prices consistent offers.price vs the price visible in the HTML vs other blocks (e.g. Product vs @graph duplicates, plugin + theme both emitting markup) Mismatched prices violate Google's Product guidelines
price numeric, priceCurrency ISO 4217 Inspect "$49" is invalid
Self-serving AggregateRating aggregateRating on the site's own Organization / LocalBusiness (reviews it controls about itself) Ineligible for star snippets per Google's review-snippet guidelines
Rating with no visible reviews Grep the HTML for the review count/stars Markup must match visible content
dateModified = build/deploy time Fetch 2-3 pages (and the same page twice a day apart); identical timestamps across unrelated pages, or always "now", mean it's generated at build Misleading freshness signal; set it from the content's real edit date
datePublished after dateModified, or in the future Compare Validation warning
Relative URLs Any url/image/@id not starting https:// Use absolute URLs
Deprecated types HowTo, FAQPage No Google rich result (see eligibility table); harmless, but don't promise one
Duplicate entities Two Organization or Product blocks with different values Conflicting signals

Paste the extracted JSON into the Schema Markup Validator (https://validator.schema.org, works on code snippets) for a vocabulary check. The Google Rich Results Test (https://search.google.com/test/rich-results) renders the page in a browser and has no public API: give the user the link to run it rather than claiming a pass. Output a table of findings (severity, entity, property, fix) plus corrected JSON-LD.

What Structured Data Does

Structured data is machine-readable markup that tells search engines, voice assistants, and AI systems exactly what your page content means. You declare it explicitly using the Schema.org vocabulary.

Benefits:

  • Rich results — star ratings, prices, event listings, breadcrumbs in Google Search (FAQ and HowTo rich results have been retired; see the eligibility table)
  • Knowledge panels — branded panels for organizations, people, and products
  • Voice search — direct answers in Google Assistant and other voice interfaces
  • AI citations — LLMs and AI search engines (Google AI Overviews, Bing Copilot, Perplexity) use structured data to surface and attribute information

Formats

Three formats exist. Google explicitly recommends JSON-LD.

JSON-LD (Recommended)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example Corp"
}
</script>

Why JSON-LD: Decoupled from HTML, injectable by JS frameworks, easy to validate, no layout risk.

Microdata

Inline HTML attributes (itemscope, itemtype, itemprop). Use only in legacy systems that cannot add <script> tags.

RDFa

Inline attributes (vocab, typeof, property). Rare on the web — more common in XML/SVG contexts.

Bottom line: Use JSON-LD for all new implementations.

Schema Types with JSON-LD Examples

Organization

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Cogny AI",
  "url": "https://cogny.com",
  "logo": "https://cogny.com/images/logo.png",
  "sameAs": [
    "https://twitter.com/cognyai",
    "https://linkedin.com/company/cogny",
    "https://github.com/cognyai"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "telephone": "+46-8-123-4567",
    "contactType": "customer service",
    "availableLanguage": ["English", "Swedish"]
  },
  "foundingDate": "2023",
  "numberOfEmployees": {
    "@type": "QuantitativeValue",
    "value": 15
  }
}

Required: name | Recommended: url, logo, sameAs, contactPoint Rich result: Knowledge panel

LocalBusiness

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Nordic Coffee Roasters",
  "image": "https://example.com/photos/storefront.jpg",
  "url": "https://nordiccoffee.se",
  "telephone": "+46-8-765-4321",
  "priceRange": "$$",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Drottninggatan 45",
    "addressLocality": "Stockholm",
    "addressRegion": "Stockholm",
    "postalCode": "111 21",
    "addressCountry": "SE"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 59.3293,
    "longitude": 18.0686
  },
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
      "opens": "07:00",
      "closes": "18:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Saturday", "Sunday"],
      "opens": "09:00",
      "closes": "16:00"
    }
  ]
}

Required: name, address | Recommended: geo, openingHoursSpecification, telephone, priceRange, image Rich result: Local pack, knowledge panel with map/hours/phone

Product

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Wireless Noise-Cancelling Headphones",
  "image": [
    "https://example.com/photos/headphones-front.jpg",
    "https://example.com/photos/headphones-side.jpg"
  ],
  "description": "Premium wireless headphones with active noise cancellation, 30-hour battery life, and multipoint Bluetooth connectivity.",
  "sku": "WH-1000XM5",
  "brand": {
    "@type": "Brand",
    "name": "AudioTech"
  },
  "offers": {
    "@type": "Offer",
    "url": "https://example.com/headphones-wh1000xm5",
    "priceCurrency": "USD",
    "price": "349.99",
    "priceValidUntil": "2025-12-31",
    "availability": "https://schema.org/InStock",
    "itemCondition": "https://schema.org/NewCondition",
    "seller": {
      "@type": "Organization",
      "name": "AudioTech Store"
    }
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.7",
    "bestRating": "5",
    "reviewCount": "2847"
  }
}

Required for rich results: name, image, offers (with price, priceCurrency, availability) Recommended: sku, brand, aggregateRating, description Rich result: Product snippet with price, availability, star rating

FAQPage

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is structured data?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Structured data is machine-readable markup added to HTML pages that helps search engines understand your content. It uses the Schema.org vocabulary and is typically implemented in JSON-LD format."
      }
    },
    {
      "@type": "Question",
      "name": "Does structured data improve SEO rankings?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Structured data does not directly affect rankings. However, it enables rich results that significantly improve click-through rates, which can indirectly improve performance through higher engagement signals."
      }
    }
  ]
}

Required: mainEntity array with Question items containing acceptedAnswer Rich result: None in Google Search any more. From September 2023 it was shown only for well-known, authoritative government and health sites; Google stopped showing it entirely on May 7, 2026 and removed the documentation in June 2026 (https://developers.google.com/search/updates). The markup is still valid Schema.org and other consumers may read it, but don't promise a rich result.

HowTo

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Implement JSON-LD Structured Data",
  "description": "A step-by-step guide to adding Schema.org JSON-LD structured data to your website.",
  "totalTime": "PT15M",
  "estimatedCost": {
    "@type": "MonetaryAmount",
    "currency": "USD",
    "value": "0"
  },
  "tool": [
    { "@type": "HowToTool", "name": "Text editor or CMS" },
    { "@type": "HowToTool", "name": "Google Rich Results Test" }
  ],
  "step": [
    {
      "@type": "HowToStep",
      "name": "Choose your schema type",
      "text": "Identify the primary content type of your page and look up the required properties at schema.org.",
      "url": "https://example.com/guide#step1",
      "image": "https://example.com/images/step1.png"
    },
    {
      "@type": "HowToStep",
      "name": "Write the JSON-LD block",
      "text": "Create a JSON-LD script block with @context, @type, and all required properties.",
      "url": "https://example.com/guide#step2",
      "image": "https://example.com/images/step2.png"
    },
    {
      "@type": "HowToStep",
      "name": "Insert into your page",
      "text": "Place the script tag in the head or body of your HTML document.",
      "url": "https://example.com/guide#step3",
      "image": "https://example.com/images/step3.png"
    },
    {
      "@type": "HowToStep",
      "name": "Validate with testing tools",
      "text": "Run your page through the Google Rich Results Test and Schema Markup Validator.",
      "url": "https://example.com/guide#step4",
      "image": "https://example.com/images/step4.png"
    }
  ]
}

Required: name, step (with text each) | Recommended: image per step, totalTime, tool Rich result: None. Google deprecated How-to rich results on September 13, 2023 (desktop and mobile) and removed the docs (https://developers.google.com/search/blog/2023/08/howto-faq-changes). Valid Schema.org, no Google SERP feature.

Article / BlogPosting

{
  "@context": "https://schema.org",
  "@type": "BlogPosting",
  "headline": "Complete Guide to Schema.org Structured Data",
  "description": "Learn how to implement structured data markup to earn rich results in Google Search.",
  "image": [
    "https://example.com/images/guide-16x9.jpg",
    "https://example.com/images/guide-4x3.jpg",
    "https://example.com/images/guide-1x1.jpg"
  ],
  "author": {
    "@type": "Person",
    "name": "Anna Lindqvist",
    "url": "https://example.com/authors/anna-lindqvist"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Example Publishing",
    "logo": { "@type": "ImageObject", "url": "https://example.com/logo.png" }
  },
  "datePublished": "2025-01-15",
  "dateModified": "2025-02-10",
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://example.com/guides/structured-data"
  }
}

Use Article for news, BlogPosting for blogs, NewsArticle for Google News publishers.

Required: headline, image, datePublished, author Rich result: Article carousel, Top Stories (NewsArticle), author/date in results

BreadcrumbList

{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com/" },
    { "@type": "ListItem", "position": 2, "name": "Docs", "item": "https://example.com/docs" },
    { "@type": "ListItem", "position": 3, "name": "Structured Data", "item": "https://example.com/docs/structured-data" }
  ]
}

Required: itemListElement with position, name, item Rich result: Breadcrumb trail replaces URL in search results

Review / AggregateRating

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Cloud Analytics Platform",
  "review": [
    {
      "@type": "Review",
      "reviewRating": { "@type": "Rating", "ratingValue": "5", "bestRating": "5" },
      "author": { "@type": "Person", "name": "Erik Johansson" },
      "reviewBody": "Transformed our data pipeline. The BigQuery integration is seamless.",
      "datePublished": "2025-01-20"
    }
  ],
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.8",
    "bestRating": "5",
    "ratingCount": "312",
    "reviewCount": "189"
  }
}

Reviews must be nested inside the item they review — standalone Review markup without context will not generate rich results.

Required: ratingValue, bestRating, author (Review); ratingValue, ratingCount (AggregateRating) Rich result: Star rating snippet

Event

{
  "@context": "https://schema.org",
  "@type": "Event",
  "name": "Nordic Growth Marketing Summit 2025",
  "description": "Two-day conference on performance marketing and AI-driven analytics.",
  "startDate": "2025-09-15T09:00:00+02:00",
  "endDate": "2025-09-16T17:00:00+02:00",
  "eventStatus": "https://schema.org/EventScheduled",
  "eventAttendanceMode": "https://schema.org/OfflineEventAttendanceMode",
  "location": {
    "@type": "Place",
    "name": "Stockholm Waterfront Congress Centre",
    "address": {
      "@type": "PostalAddress",
      "streetAddress": "Nils Ericsons Plan 4",
      "addressLocality": "Stockholm",
      "postalCode": "111 64",
      "addressCountry": "SE"
    }
  },
  "performer": { "@type": "Organization", "name": "Cogny AI" },
  "offers": {
    "@type": "Offer",
    "url": "https://example.com/tickets",
    "price": "4999",
    "priceCurrency": "SEK",
    "availability": "https://schema.org/InStock",
    "validFrom": "2025-03-01T00:00:00+01:00"
  },
  "organizer": { "@type": "Organization", "name": "Growth Hackers Stockholm", "url": "https://growthhackers.se" },
  "image": "https://example.com/images/summit-2025.jpg"
}

Required: name, startDate, location | Recommended: endDate, offers, performer, eventStatus, image Rich result: Event listing with date/location/ticket; event pack in SERP

VideoObject

{
  "@context": "https://schema.org",
  "@type": "VideoObject",
  "name": "How to Set Up GA4 BigQuery Export",
  "description": "Step-by-step tutorial for connecting GA4 to BigQuery.",
  "thumbnailUrl": "https://example.com/thumbnails/ga4-setup.jpg",
  "uploadDate": "2025-01-10",
  "duration": "PT12M30S",
  "contentUrl": "https://example.com/videos/ga4-setup.mp4",
  "embedUrl": "https://youtube.com/embed/abc123",
  "interactionStatistic": {
    "@type": "InteractionCounter",
    "interactionType": { "@type": "WatchAction" },
    "userInteractionCount": 15420
  }
}

Required: name, thumbnailUrl, uploadDate | Recommended: description, duration, contentUrl or embedUrl Rich result: Video carousel, video thumbnail in search results

SoftwareApplication

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Cogny Analytics Platform",
  "operatingSystem": "Web",
  "applicationCategory": "BusinessApplication",
  "description": "AI-powered analytics platform for automated growth insights.",
  "offers": { "@type": "Offer", "price": "99", "priceCurrency": "USD" },
  "aggregateRating": { "@type": "AggregateRating", "ratingValue": "4.8", "ratingCount": "156" },
  "screenshot": "https://example.com/images/dashboard.png"
}

Required: name, offers (with price, priceCurrency) | Recommended: operatingSystem, applicationCategory, aggregateRating Rich result: Software snippet with rating and price

Course

{
  "@context": "https://schema.org",
  "@type": "Course",
  "name": "Advanced BigQuery for Marketing Analytics",
  "description": "Learn to write efficient BigQuery SQL for GA4 data, build attribution models, and create automated reporting.",
  "provider": { "@type": "Organization", "name": "Cogny Academy", "sameAs": "https://cogny.com/academy" },
  "courseCode": "BQ-301",
  "hasCourseInstance": {
    "@type": "CourseInstance",
    "courseMode": "online",
    "courseSchedule": {
      "@type": "Schedule",
      "repeatFrequency": "P1W",
      "startDate": "2025-03-01",
      "endDate": "2025-04-15"
    }
  },
  "offers": { "@type": "Offer", "price": "499", "priceCurrency": "USD", "category": "Paid" }
}

Required: name, description, provider | Recommended: offers, hasCourseInstance Rich result: Course listing with provider and enrollment info

JobPosting

{
  "@context": "https://schema.org",
  "@type": "JobPosting",
  "title": "Senior Growth Engineer",
  "description": "Build and optimize marketing analytics infrastructure including BigQuery pipelines, A/B testing, and automated reporting.",
  "datePosted": "2025-02-01",
  "validThrough": "2025-04-01T23:59:59+01:00",
  "employmentType": "FULL_TIME",
  "hiringOrganization": {
    "@type": "Organization",
    "name": "Cogny AI",
    "sameAs": "https://cogny.com",
    "logo": "https://cogny.com/images/logo.png"
  },
  "jobLocation": {
    "@type": "Place",
    "address": {
      "@type": "PostalAddress",
      "addressLocality": "Stockholm",
      "addressRegion": "Stockholm",
      "addressCountry": "SE"
    }
  },
  "jobLocationType": "TELECOMMUTE",
  "baseSalary": {
    "@type": "MonetaryAmount",
    "currency": "SEK",
    "value": { "@type": "QuantitativeValue", "minValue": 55000, "maxValue": 75000, "unitText": "MONTH" }
  },
  "applicantLocationRequirements": { "@type": "Country", "name": "Sweden" }
}

Required: title, description, datePosted, hiringOrganization, jobLocation Recommended: validThrough, employmentType, baseSalary, jobLocationType Rich result: Google Jobs listing with salary, location, apply button

Testing and Validation

Google Rich Results Test

URL: https://search.google.com/test/rich-results

Test individual pages or code snippets for rich result eligibility. Shows detected types, validation errors, and warnings. It runs in a browser (no public API, and WebFetch can't drive it), so hand the user the link; for an automated check use the curl audit above.

Schema Markup Validator

URL: https://validator.schema.org

Validates against the full Schema.org specification — catches structural errors the Rich Results Test may miss.

Google Search Console Rich Results Report

Location: Search Console > Enhancements > [specific rich result type]

Aggregate data across your site: valid pages, error counts, specific error types. Updated daily.

Common Validation Errors

Error Cause Fix
Missing field "image" Product/Article missing image Add image with valid crawlable URL
Invalid URL in field "url" Relative URL Use fully qualified URLs (https://...)
Missing field "author" Article/Review missing author Add author as Person or Organization with name
Invalid value in field "price" Currency symbol in price Use numeric value only ("349.99" not "$349.99")
Invalid enum for "availability" Plain text instead of URL Use https://schema.org/InStock, not "In Stock"
Array expected, single value Single image instead of array Wrap in array: "image": ["https://..."]
datePublished is in the future Date set ahead of publish Set to actual publication date

Best Practices

One Primary Schema Type per Page

Match the primary schema type to the page purpose. Product pages use Product, blog posts use BlogPosting, FAQ pages may use FAQPage (no Google rich result). Combine with BreadcrumbList as a complementary type.

Nesting vs. @graph

Nest when there is a parent-child relationship (Product > Offer). Use @graph for independent entities on the same page:

{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "BreadcrumbList", "itemListElement": [...] },
    { "@type": "Product", "name": "Widget", "offers": {...} }
  ]
}

Required vs. Recommended Properties

Required properties must be present for the rich result to appear. Recommended properties improve quality and appearance. Always include both.

Avoiding Spammy Markup

  • Do not fabricate reviews or ratings
  • Schema properties must match visible page content
  • Do not add schema for hidden content
  • Do not mismatch schema type and page purpose
  • Self-serving reviews without genuine third-party data trigger manual actions

Google manual actions for structured data spam can remove all rich results from your entire domain.

Keeping Schema in Sync

Generate structured data from the same data source as page content. Include schema updates in your CMS publishing workflow. Audit quarterly or after major site changes.

Rich Results Eligibility

Schema Type Rich Result SERP Appearance
Product Product snippet Price, availability, stars
FAQPage None (retired) Gov/health only from Sept 2023; not shown at all from May 7, 2026
HowTo None (retired) Deprecated Sept 13, 2023 on desktop and mobile
Article / BlogPosting Article result Author, date, thumbnail
NewsArticle Top Stories Carousel at top of results
BreadcrumbList Breadcrumb trail Replaces URL with nav path
Review / AggregateRating Review snippet Star rating below listing (not for self-serving reviews on your own Organization/LocalBusiness)
Event Event listing Date, location, tickets
VideoObject Video result Thumbnail, duration
LocalBusiness Local pack Map, hours, phone
JobPosting Google Jobs Salary, location, apply
SoftwareApplication Software result Rating, price
Course Course listing Provider, enrollment
Organization Knowledge panel Logo, social links

Implementation Patterns

Static HTML

<head>
  <script type="application/ld+json">
  { "@context": "https://schema.org", "@type": "Product", ... }
  </script>
</head>

Next.js (App Router)

export default function ProductPage({ product }) {
  const jsonLd = {
    "@context": "https://schema.org",
    "@type": "Product",
    name: product.name,
    image: product.images,
    offers: {
      "@type": "Offer",
      price: product.price,
      priceCurrency: product.currency,
      availability: product.inStock
        ? "https://schema.org/InStock"
        : "https://schema.org/OutOfStock",
    },
  };
  return (
    <>
      <script
        type="application/ld+json"
        dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
      />
      {/* content */}
    </>
  );
}

WordPress

Use Yoast SEO, Rank Math, or Schema Pro plugins. For custom implementation:

add_action('wp_head', function() {
    if (is_singular('product')) {
        $product = get_post();
        $price = get_post_meta($product->ID, '_price', true);
        $schema = [
            '@context' => 'https://schema.org',
            '@type' => 'Product',
            'name' => $product->post_title,
            'offers' => [
                '@type' => 'Offer',
                'price' => $price,
                'priceCurrency' => 'USD',
                'availability' => 'https://schema.org/InStock',
            ],
        ];
        echo '<script type="application/ld+json">' . json_encode($schema) . '</script>';
    }
});

Dynamic CMS Pattern

function generateProductSchema(cmsData: CMSProduct): object {
  return {
    "@context": "https://schema.org",
    "@type": "Product",
    name: cmsData.title,
    image: cmsData.media.map(m => m.url),
    offers: {
      "@type": "Offer",
      price: cmsData.variants[0].price.toString(),
      priceCurrency: cmsData.currency,
      availability: cmsData.inStock
        ? "https://schema.org/InStock"
        : "https://schema.org/OutOfStock",
    },
  };
}

Key principle: generate structured data from the same data source that populates the page, never hardcode separately.

Resources

Related in other

limits-colimits

Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context polluti...

by parcadei
3,392

ddttom-allaboutv2-claude-skills-block-collection-and-party

The Block Collection and Block Party are repositories for existing AEM blocks, build tools, code snippets, integration p...

by mattnigh
20

nodnarbnitram-claude-code-extensions-claude-skills-esphome-confi

This skill should be used when the user asks to "create an esphome config", "set up an esp32 device", "configure esphome...

by mattnigh
20