Definition
Schema Markup (Structured Data)
Schema markup is structured data you add to a web page, usually as Schema.org JSON-LD, that labels your facts (who you are, your products, hours, location, FAQs) so machines can read them unambiguously. It powers rich results in search and helps AI engines describe your brand accurately, though it never guarantees a citation.
What schema markup is
Schema markup is a shared vocabulary, defined at Schema.org and supported by the major search engines, for labeling the meaning of content. Instead of leaving a machine to infer that a string is a price, an address, or an opening time, you tag it explicitly. The common format today is JSON-LD, a small block of structured data placed in the page's HTML that describes the entity without changing how the page looks to a human. Widely used types include Organization, LocalBusiness, Product, Article, and FAQPage. The point is legibility: you are handing search engines and AI systems a clean, unambiguous statement of your facts, rather than making them parse marketing prose. It is a technical hygiene step, not a ranking trick, and it works best when the labeled facts genuinely match what the visible page says.
Why it helps AI search visibility
AI engines answer questions by extracting and recombining facts, so content they can read unambiguously is easier to reuse correctly. Schema markup makes your core details, name, category, location, offerings, and common questions, machine-readable, which reduces the chance a model describes you with stale or wrong information. It also underpins rich results in traditional search, such as review stars and FAQ dropdowns, which can lift how often people notice you. It is not a magic citation lever: engines can quote plain, well-written pages without any markup, and Google has repeatedly said structured data is not a direct ranking factor. Treat it as removing friction, since it makes accurate understanding more likely, not as buying a spot in an answer.
How wellness brands should use it
For clinics, studios, and supplement or wellness brands, the high-value markup is factual and local: Organization and LocalBusiness for identity and location, Product for what you sell, and FAQPage for real questions you answer on the page. Keep it honest. Structured data must describe what the page actually contains, and it should never be used to assert health or efficacy claims a model could repeat as fact, which is both a trust risk and, in regulated wellness categories, a compliance one. Validate your markup, keep it in sync when details change, and do not over-tag. Laudia checks whether a site uses clean, claim-safe structured data as one signal in a broader read of how clearly AI engines can understand and describe your brand.