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In practice
Schema doesn’t earn links — the asset does — but it changes what happens after: rich results (FAQ accordions, breadcrumbs, ratings) raise the page’s click-through from every placement that sends readers, and the explicit typing makes the page cheaper for AI systems to parse, quote and attribute.
The core set for a technology site earning links: Organization (with sameAs tying the profiles into one entity), Article or BlogPosting (author, dates — the citation layer reads these), FAQPage (the questions the page answers, in the form engines lift), Product and Offer where pricing pages exist, BreadcrumbList (context in the SERP), and Person for the authors whose expertise the content trades on.
The implementation discipline: one format (JSON-LD in the head), one vocabulary (schema.org), truth at every field (the engines cross-check markup against visible content — mismatches read as manipulation), and validation on every template change (Rich Results Test, schema validators) because silent breakage is the normal state of unmaintained markup. The link programme’s touchpoint: pages receiving placements are audited for markup before the campaign — a link pointing at a page whose entity, author and type are machine-legible converts the placement’s authority into a cleaner signal, and the FAQ layer gives AI answers something structured to quote.
What schema cannot do: substitute for content, or manufacture the credibility that the links, mentions and reviews corroborate. It is the site’s statement of fact; the campaign supplies the corroboration.
See also: Structured data for AI extraction, Entity SEO and brand entities, On-page SEO essentials that make links work.
Related service: Guest posts.
