Search engines read your page as text and infer meaning. Schema removes the inference: instead of hoping Google works out that a number is a price, you state explicitly that it's a price, in a standard vocabulary from schema.org.
JSON-LD is the format Google recommends. It sits in a script tag instead of being woven through your HTML, which makes it far easier to maintain than microdata or RDFa.
Schema isn't a direct ranking factor. Its value is in eligibility for rich results (star ratings, FAQ dropdowns, breadcrumbs, pricing) and increasingly in helping AI engines parse and attribute your content accurately.
Why Schema Markup matters
Rich results take up more space in the SERP and clearly improve click-through rate at the same ranking position. As AI search grows, clean structured data also improves the odds of being cited correctly instead of paraphrased without credit.
Which types are worth implementing
Organization and WebSite site-wide. BreadcrumbList on every page with a hierarchy. FAQPage wherever you have real question-and-answer content. Article on editorial with author, dates, and section. Service, Product, and LocalBusiness where they truly apply. Beyond that, additional types rarely pay for the maintenance burden.
Common mistakes
Marking up content that isn't on the page
Schema must describe visible content. Marking up FAQs that don't appear violates guidelines and risks a manual action.
Letting it drift out of sync
Prices, ratings, and dates change. Schema generated once and never updated becomes actively misleading. That's worse than having none.
Fabricating review or rating data
AggregateRating markup for reviews that don't exist is one of the clearer structured data violations and is straightforward for Google to detect.
Over-implementing
Every schema type you add is a maintenance obligation. Implement the types that produce a visible benefit and stop there.
Where we work on this