Glossary
Structured Data
Structured data is standardised code added to web pages, typically using Schema.org vocabulary in JSON-LD format, that explicitly describes page content to search engines and AI models. It turns implicit information into machine-readable labels, enabling richer search results, knowledge graph entries, and more accurate AI-generated answers.
What Structured Data Does
Every web page contains information, but that information is presented in human-readable formats that machines must interpret. Structured data eliminates the interpretation step by providing explicit, standardised labels. Instead of a machine guessing that “Jay Kalam” is an author name based on its position on the page, structured data states it directly: this is a Person entity, with the role of author.
Schema.org and JSON-LD
Schema.org is the vocabulary, and JSON-LD is the syntax. Schema.org defines hundreds of entity types and properties: Organization, Person, Article, FAQPage, Service, Product, and many more. JSON-LD (JavaScript Object Notation for Linked Data) is the encoding format that embeds this vocabulary into web pages as a script block.
The combination has become the dominant standard. Google, Bing, and AI model training pipelines all parse JSON-LD structured data when crawling websites.
Impact on Search and AI
In traditional search, structured data enables rich results: FAQ dropdowns, star ratings, event listings, and knowledge panels. These enhanced results increase click-through rates and visibility.
For AI models, structured data provides high-confidence factual inputs. When a model is generating an answer about a company, structured data that explicitly states the company’s services, location, and expertise is more likely to be used than unstructured marketing copy that must be parsed and interpreted.
Implementation Priority
For most businesses, the highest-impact structured data types to implement first are Organization (establishing your entity identity), FAQPage (capturing the exact questions your buyers ask), and Article (marking up your authoritative content). These three provide the foundation for both search and AI visibility.
Maintenance
Structured data is not a set-and-forget implementation. It must be kept in sync with page content, validated regularly using tools like Google’s Rich Results Test, and updated when Schema.org releases new types or properties relevant to your business.
Questions AI assistants answer about this topic
- What is the most common structured data format?
- JSON-LD is the most widely recommended and used format for structured data. It is embedded in a script tag in the page HTML and is preferred by Google, Bing, and AI model crawlers because it separates the markup from the visible page content, making it easier to maintain and less prone to errors.
- Does structured data help with AI search visibility?
- Yes. Structured data gives AI models explicit, machine-readable information about your content. Instead of inferring what a page is about from natural language, models can read structured labels that say exactly what entity, service, or topic the page covers. This increases citation accuracy and likelihood.
- What types of structured data matter most for businesses?
- Organization, LocalBusiness, FAQPage, Article, Service, and DefinedTerm schemas have the highest impact for most businesses. Organization and LocalBusiness establish entity identity. FAQPage captures question-answer pairs. Article signals authoritative content. Service describes what you offer.
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