Implementing JSON-LD Schema: 7 Practical Code Examples

Seven JSON-LD snippets for Article, Organization, Person, FAQ, Breadcrumb, Product, and HowTo. Ready to copy-paste, validated. Hamburg linkbuilding agency.

JSON-LD is the format recommended by Google, Bing, and all relevant AI search engines for structured data. It exists as a pure JSON script in the head or body of your page and describes what your content means — regardless of layout and CSS. Seven schema types cover most use cases. In this article, you will find all seven as ready-to-copy examples along with validation tips.

1. Article — The Classic for Blogs and News

The Article type is the basis for any editorial contribution. It provides AI models with the author, date, headline, and main image at a glance.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Semantic HTML5 for AI seo-glossary/visibility/">Visibility",
  "image": "https://performanceliebe.de/img/cover.jpg",
  "datePublished": "2026-05-01T14:00:00+02:00",
  "dateModified": "2026-05-01T14:00:00+02:00",
  "author": {
    "@type": "Person",
    "name": "Patrick Tomforde",
    "url": "https://performanceliebe.de/team/patrick-tomforde"
  },
  "publisher": {
    "@type": "Organization",
    "name": "performanceLiebe",
    "logo": { "@type": "ImageObject", "url": "https://performanceliebe.de/logo.png" }
  }
}
</script>

2. Organization — Your Brand as an Entity

Organization should be on every page or at least on the homepage and imprint. It makes your brand tangible for AI models as an entity — the prerequisite for brand mentions without a link.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "performanceLiebe",
  "url": "https://performanceliebe.de",
  "logo": "https://performanceliebe.de/logo.png",
  "sameAs": [
    "https://www.linkedin.com/company/performanceliebe",
    "https://www.xing.com/companies/performanceliebe"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "contactType": "customer service",
    "email": "info@performanceliebe.de"
  }
}
</script>

3. Person — Making Authors and Management Visible

Person schema belongs on author pages and employee profiles. It is the foundation for E-E-A-T signals around expertise and experience.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Person",
  "name": "Patrick Tomforde",
  "jobTitle": "Managing Director",
  "worksFor": { "@type": "Organization", "name": "performanceLiebe" },
  "sameAs": [ "https://www.linkedin.com/in/patrick-tomforde" ]
}
</script>

4. FAQPage — Direct Path to AI Answers

FAQ schema is one of the most powerful formats for AI search. Models prefer to harvest question-answer pairs from these structures.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What does professional linkbuilding cost?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Serious backlinks start at around 200 euros per placement."
      }
    }
  ]
}
</script>

5. BreadcrumbList — Machine-Readable Navigation Path

Breadcrumbs help AI models recognize the position of a page in the site hierarchy. They also improve the display in classic SERPs.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://performanceliebe.de" },
    { "@type": "ListItem", "position": 2, "name": "Blog", "item": "https://performanceliebe.de/blog" },
    { "@type": "ListItem", "position": 3, "name": "JSON-LD", "item": "https://performanceliebe.de/blog/implementing-json-ld" }
  ]
}
</script>

6. Product — Cleanly Marking Offers

Product schema is mandatory for online shops, but it is also worthwhile for service packages and digital products. Aggregate ratings significantly increase conversion in the SERPs.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Premium Linkbuilding Package",
  "description": "Ten editorial backlinks per month from DR-50 domains",
  "brand": { "@type": "Brand", "name": "performanceLiebe" },
  "offers": {
    "@type": "Offer",
    "price": "2490.00",
    "priceCurrency": "EUR",
    "availability": "https://schema.org/InStock"
  }
}
</script>

7. HowTo — Step-by-Step Instructions for AI

HowTo schema is ideal for tutorials. AI models use it to generate step-by-step answers.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "Integrating JSON-LD in WordPress",
  "step": [
    { "@type": "HowToStep", "name": "Choose a Plugin", "text": "Prepare schema plugin or code snippet." },
    { "@type": "HowToStep", "name": "Insert Code", "text": "Place snippet in the header." },
    { "@type": "HowToStep", "name": "Validate", "text": "Check Rich Results Test." }
  ]
}
</script>

Validation: Two Tools are Essential

• Google Rich Results Test — checks if your markup qualifies for rich snippets
• Schema.org Validator — checks the formal correctness according to Schema.org specifications
• Browser DevTools — displays JSON-LD scripts in the Network tab as a sanity check

Structured Data Alone is Not Enough

JSON-LD tells AI models what your content is. Backlinks tell them that your content matters. Both signals complement each other but do not replace one another. A perfectly marked-up page without external linking acts like a well-labeled product in a warehouse — visible only to those who are already searching for it. Only targeted link building brings the structured data to where AI models look for answers. performanceLiebe as a Hamburg linkbuilding agency combines both disciplines: technical markup audit and strategic authority building in a roadmap.