AI SEO Glossary

Schema Markup is structured code added to a webpage, written in a format called JSON-LD, that helps search engines and AI systems understand what the content on that page means, not just what it says. It uses a standardized vocabulary from Schema.org to label elements like articles, products, FAQs, organizations, and reviews in a machine-readable way. While schema has been important for traditional SEO for years, its relevance has grown in the AI era because LLMs and AI crawlers use structured signals to assess what a page is about and how to categorize the information within it.

The schema types with the most direct relevance to AI search are FAQPage, which labels question-and-answer pairs for direct extraction by AI systems; Article and NewsArticle, which establish authorship, publication dates, and editorial credibility; Organization, which defines your brand as a recognized entity with consistent attributes; HowTo, which structures step-by-step content in a format AI can retrieve and present accurately; and Speakable, which identifies page sections most appropriate for voice and AI reading. Beyond these, Product schema for e-commerce brands and BreadcrumbList for site structure both contribute to how accurately AI systems navigate and understand your content.

Why it matters: Schema markup is one of the clearest signals you can give an AI system about your content’s purpose, structure, and credibility. It reduces ambiguity and increases the chance your content is interpreted and cited correctly.