Schema Markup

What is Structured Data?

Structured data is a standardized vocabulary (defined at schema.org) that lets you explicitly describe what your content is about. Instead of Google having to interpret that a page is a recipe, you can tell it directly using Recipe schema, including the cooking time, ingredients, and nutrition information.

According to a Milestone Research study, pages with structured data receive 40% higher click-through rates in search results compared to standard listings (Milestone, 2024). Google supports over 30 types of structured data for rich results, including FAQ, HowTo, Article, Product, Review, Event, and more.

Adoption is growing but still has room: only 39% of websites use any form of structured data (W3Techs, 2025). Sites with comprehensive schema implementation have a significant competitive advantage.

JSON-LD: The Preferred Format

There are three formats for implementing structured data: JSON-LD, Microdata, and RDFa. Google explicitly recommends JSON-LD as the preferred format (Google, 2024). JSON-LD is embedded in a script tag in the page head or body, keeping it separate from the visible HTML.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Complete Guide to Technical SEO",
  "author": {
    "@type": "Person",
    "name": "Jane Smith"
  },
  "datePublished": "2026-03-15",
  "dateModified": "2026-03-20",
  "publisher": {
    "@type": "Organization",
    "name": "SEO Academy",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  },
  "image": "https://example.com/article-image.jpg",
  "description": "Learn the fundamentals..."
}
</script>

Common Schema Types

Article Schema

Used for news articles, blog posts, and editorial content. Enables enhanced search results with publication date, author info, and images. Google shows Article rich results for approximately 34% of news-related queries (Semrush, 2024).

FAQ Schema

Displays questions and answers directly in search results. FAQ rich results can significantly increase your SERP real estate. Note: in August 2023, Google restricted FAQ rich results to only well-known, authoritative government and health websites for most queries (Google, 2023). However, the schema still helps Google understand your content structure.

HowTo Schema

Provides step-by-step instructions in search results with images, tools, and estimated time. Like FAQ, HowTo rich results were restricted in 2023 but remain valuable for content comprehension.

Product Schema

Essential for e-commerce. Displays price, availability, ratings, and reviews in search results. According to Google, product listings with structured data see a 30% increase in impressions compared to those without (Google, 2024).

LocalBusiness Schema

Critical for local SEO. Includes business name, address, phone, hours, and geo coordinates. Helps Google connect your website to your Google Business Profile.

Rich Results

Schema for AI Visibility (GEO)

Structured data plays an increasingly important role in AI-powered search. AI systems like Google AI Overviews, ChatGPT, and Perplexity rely on structured information to generate accurate answers. Pages with proper schema markup are more likely to be cited by AI systems because the structured format makes entities and relationships explicitly clear.

Key schema types for AI visibility:

• Organization/Person: Establishes your entity in the Knowledge Graph
• Speakable: Marks content sections suitable for voice assistants and AI reading
• SameAs: Links your entity to authoritative profiles (Wikipedia, LinkedIn, Crunchbase)
• About/Mentions: Explicitly declares what entities your content discusses

According to a Semrush study, pages with comprehensive structured data are 1.5x more likely to be cited in Google AI Overviews compared to pages without schema (Semrush, 2025). Schema creates a machine-readable layer that AI systems can parse with high confidence.

Testing and Validation

• Google Rich Results Test: Tests if your page is eligible for rich results and shows parsed schema
• Schema.org Validator: Validates your JSON-LD syntax against the schema.org vocabulary
• Google Search Console: Enhancement reports show which rich results are detected across your site
• Structured Data Testing Tool: Legacy Google tool still useful for debugging

Common Schema Mistakes

• Marking up content that is not visible on the page (against Google guidelines)
• Using incorrect schema types (e.g., Product schema on a blog post)
• Missing required properties (each schema type has mandatory fields)
• Using Microdata instead of JSON-LD (harder to maintain and debug)
• Not updating schema when content changes (stale dates, wrong prices)