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Schema Markup (Structured Data)

Schema markup is standardized structured-data code added to web pages that labels content — organizations, people, products, articles, FAQs — so search engines and AI systems can interpret it precisely.

Schema markup is how you speak to machines in their own language. Using the shared Schema.org vocabulary, it tags the elements of a page — this is the Organization, this is the founder, this is the product, this is the FAQ — so engines don't have to guess.

That precision is the point. Structured data feeds Knowledge Graphs, powers rich results, and makes content far more extractable for AI answer engines. A page an engine can parse cleanly is a page it can cite confidently.

Schema is one of the highest-leverage technical moves in Generative Engine Optimization. It doesn't change what you say — it makes what you say legible to ChatGPT, Google AI Overviews, and Perplexity. Entity-rich, well-marked-up content is the difference between being understood and being skipped.

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