Schema Markup
Structured data vocabulary and syntax added to web content to describe entities and relationships in machine-readable form.
Structured data helps search engines understand products, articles, events and organizations accurately, and it makes pages eligible for rich results that can stand out in search listings.
An agency adds JSON-LD Organization and BreadcrumbList markup to 40 service pages, validates them in the Rich Results Test, and monitors the Enhancements reports in Search Console for errors after deployment.
Valid markup does not guarantee rich results or better rankings; Google decides what to display. Markup must match visible content, and misleading structured data can trigger a manual action.
Schema markup uses the Schema.org vocabulary of types (such as Product, Article, Organization) and properties, expressed in JSON-LD, Microdata or RDFa. Google supports all three and recommends JSON-LD, usually placed in a script tag of type application/ld+json. Each rich result type has its own required and recommended properties listed in Google's search gallery.
Data Engineering, Systems Architecture
Google Search Central — Introduction to structured data markup in Google Search — https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data; Schema.org — Getting started with schema.org — https://schema.org/docs/gs.html