Watch: Structured Data (Schema Markup)
Machine-readable annotation (schema.org, usually in JSON-LD) that states what a page's content is, so engines read defined entities and facts instead of inferring them from prose.
Transcript
Think of structured data, also known as schema markup, as a translator for search engines. It is a behind-the-scenes code that tells machines exactly what your content is, what its properties are, and how it connects to other things.
In traditional search, this markup is what powers those eye-catching rich results, like star ratings, product prices, and event dates. It also helps search engines identify your brand as a single, clear entity, rather than just an ambiguous name.
But structured data is becoming even more critical with the rise of artificial intelligence. Instead of forcing an AI to guess the meaning of a webpage by parsing through paragraphs of text, structured data provides clear, labeled facts. This removes the guesswork, drastically lowering the chances that an AI will misinterpret your content or hallucinate false information.
Ultimately, accurate markup makes your content easy to retrieve and safe to cite. If you want your brand to be visible and trusted in the age of AI, structured data is essential.