A lightweight format for embedding structured data (Schema.org markup) in web pages using JavaScript notation, recommended by Google over other structured data formats.
JSON-LD (JavaScript Object Notation for Linked Data) is Google's recommended format for adding structured data to web pages. It embeds Schema.org markup as a <script> tag in the page's HTML, separate from the visible content. This separation makes JSON-LD easier to implement and maintain than older formats like Microdata or RDFa, which require inline annotations.
A JSON-LD block typically includes a @context (always "https://schema.org"), a @type (the entity type like Article, FAQPage, or Product), and properties specific to that type (name, description, author, datePublished, etc.).
JSON-LD is the most widely supported structured data format and the only one Google recommends for new implementations. It enables rich results (star ratings, FAQ accordions, recipe cards) that significantly improve click-through rates.
For AI search, JSON-LD helps AI models understand content structure and meaning more accurately. A page with proper Article and FAQPage JSON-LD gives AI crawlers clear signals about what the content covers and how it is organized.
Acta AI automatically generates JSON-LD for every article: Article schema (with headline, author, datePublished), FAQPage schema (3-5 extracted Q&A pairs), and BreadcrumbList schema. This glossary uses DefinedTerm and DefinedTermSet JSON-LD, which is a newer schema type that very few sites implement.
A FAQ page includes this JSON-LD:
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "How much does it cost?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Plans start at $29/month."
}
}
]
}When Google processes this markup, the FAQ answers can appear as expandable accordions directly in the search results, increasing the space your listing occupies on the SERP.
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