Schema Markup
A structured data vocabulary added to a page to disambiguate it.
Technical Term
Full explanation
Schema markup is a specific vocabulary of structured data, typically added to a webpage, that helps search engines and AI systems understand what the page is about and disambiguate its entities.
Schema markup uses a shared vocabulary, most commonly schema.org, to label page content in code: marking a paragraph as a product description, a name as an organization, a date as a founding date. Systems can read these labels directly instead of guessing at meaning from surrounding text.
Its main value is disambiguation, not persuasion. Schema does not make a claim more credible; it makes an already-true claim easier for a system to parse correctly and attach to the right entity, which reduces the chance of misattribution.
Why this matters
Schema is infrastructure, not a citation trick. It helps systems tell one entity from another, which is a prerequisite for recognition rather than a shortcut to it.
Example
A page uses Organization schema to explicitly mark a company's legal name, founding year, and headquarters location, so a system extracting that page does not have to infer those facts from prose.
Where this sits
Schema Markup belongs to Search, SEO & Generative Optimization, one of the seven layers of the Aingworth Glossary. The established disciplines brands use to improve discoverability. Useful, and often necessary, but tactics that sit on top of a brand's underlying authority infrastructure rather than replace it.
Continue with: The Technical Work That Pays.
Related terms
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