Structured Data – Help Search Engines Understand Your Content

Structured Data refers to additional, machine-readable information embedded in a website’s code that helps search engines understand the context of a page’s content. It provides semantic meaning to elements like articles, products, events, reviews, and more.

Search engines like Google and Bing use structured data to create rich snippets – enhanced search result features such as star ratings, FAQs, breadcrumbs, or event dates.

Common formats & standards:

JSON-LD (Google’s recommended format)
Microdata
RDFa
schema.org – the standardized vocabulary used for semantic markup

Examples of structured data:

Product info (price, availability, ratings)
Articles with author, publication date, headline
Events with time, location, ticket info
FAQs or HowTo instructions in expanded SERP formats

Code example (JSON-LD):

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is structured data?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Structured data helps search engines understand and enhance your content through rich results like snippets, carousels, or FAQs."
      }
    }
  ]
}
</script>

Why structured data matters:

Increases visibility in Google Search
Enables rich snippets & knowledge panels
Required for certain search features (FAQ, JobPosting, Events)
Enhances semantic clarity and technical SEO