Structured Data / SEO

Structured Data refers to any data that is organized into a clear, predefined format, making it easy to search, analyze and process by both humans and machines. In web development and search engine optimization, structured data often means adding code (typically in JSON-LD format) to webpages to help search engines understand what the content is about. This markup allows search engines to display rich results, such as product ratings, event details or FAQs, directly in search listings.

On a website, structured data provides context by labeling content types like articles, recipes, reviews or job postings. For example, marking up a recipe with structured data can include fields for ingredients, cooking time and calorie count. Search engines like Google can then use this information to generate enhanced search snippets that are more engaging and informative. This helps improve click-through rates, user experience and overall search visibility.

Structured data also plays a critical role beyond SEO. It supports voice search, knowledge graphs, and data integration across platforms. Tools such as Google’s Structured Data Markup Helper or Schema.org provide guidelines and templates for implementing structured data effectively. For mission-driven organizations and content publishers, adding structured data is a smart way to ensure that your content is discoverable, accessible and accurately represented in search results. It is a key part of technical SEO and an important step toward making content machine-readable without changing how it appears to users.