Structured Data

HTML describes how content looks; structured data describes what it is. Using Schema.org vocabulary, typically serialized as JSON-LD, a page can state unambiguously: this is an Organization named X, founded Y, offering Product Z at this price, answered by these FAQs. Search engines use it for rich results, and it feeds entity understanding in the knowledge graph. For AI systems that parse pages at scale without human context, explicit semantics reduce misreading: names, prices, authors and relationships arrive labeled instead of inferred.

Honest framing: no major AI engine documents structured data as a citation ranking factor, and markup cannot rescue weak content. Its GEO value is indirect but real. It sharpens entity SEO, helping systems connect your brand name, domain and products consistently, which matters when an LLM decides whether two mentions refer to the same company. It strengthens Google's understanding, which flows into AI Overviews built on search infrastructure. And formats like FAQ schema encourage the question-and-answer content structure that answer engines extract most readily.

Start with Organization markup on your homepage, including sameAs links to authoritative profiles, then Product, Article, FAQPage and HowTo where genuinely applicable. Use JSON-LD in the initial HTML, not injected client-side, since most AI crawlers skip JavaScript rendering. Validate with schema testing tools, keep markup synchronized with visible content, and never mark up content that is not on the page. Treat structured data as one layer of machine-readability in a broader GEO strategy, alongside server rendering, clean HTML and citable writing.