Schema.org Markup is a standardized vocabulary of tags and properties used to annotate web content, enabling machines to parse and understand the underlying entities and relationships. By embedding JSON-LD or microdata that follows schema.org schemas, pages can explicitly communicate their structure—such as articles, products, events, and organizations—to search engines and AI models. In AI SEO, properly implemented Schema.org Markup helps ensure that LLMs accurately identify and index key entities, making content more likely to be cited in AI-generated answers and knowledge panels.