What is Structured Data (Schema Markup)?
Structured data — most commonly implemented as JSON-LD following the schema.org vocabulary — is a block of machine-readable markup embedded in a page that states facts about its content explicitly: this page is an Article by this author published on this date, this page is a Product priced at this amount, this page answers these FAQ questions.
Search engines and AI crawlers can infer a lot from plain HTML, but structured data removes the guesswork. Instead of a crawler parsing prose to figure out what a page is about, structured data hands it the answer directly — which is exactly the kind of unambiguous signal that both traditional rich-result eligibility and AI answer synthesis depend on.
Common types worth prioritizing are Organization (on the homepage), Article or BlogPosting (on content pages), Product (on pricing or product pages), FAQPage (anywhere a page answers common questions), and BreadcrumbList (site-wide navigation context). A page can carry more than one type at once.
Example
A blog post embeds Article JSON-LD with its headline, author, and publish date, plus FAQPage markup around a Q&A section near the end. Google shows the post with a rich snippet in search results, and an AI engine summarizing the same page can attribute the answer to a specific, dated source instead of an unstructured wall of text.
Code Example
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Kitbase",
"url": "https://kitbase.dev"
}
</script> Minimal Organization structured data embedded in a page's <head>
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