Schema Markup
Schema markup is the implementation of structured data using vocabulary from Schema.org — a standardized set of entity types and properties maintained jointly by Google, Bing, and Yahoo for marking up web content.
Schema.org provides the vocabulary; structured data is the broader concept; schema markup is what practitioners mean when they talk about "adding structured data" to a page. The most commonly used types for B2B content include Article, FAQPage, HowTo, Organization, BreadcrumbList, and WebSite. Each type has a defined set of properties that describe what's relevant about that kind of content.
JSON-LD (JavaScript Object Notation for Linked Data) is the implementation format Google recommends. It's a script block added to the page's HTML — separate from the content markup — that describes the page using Schema.org properties. Unlike the older Microdata format, which embeds markup attributes directly in HTML elements alongside content, JSON-LD can be maintained independently of the content it describes, making it easier to update and audit.
For B2B content sites, the highest-return schema implementations are: Article schema on blog posts (contributes to author and publication signals relevant to E-E-A-T), Organization schema on the homepage and About page (entity recognition and Knowledge Panel accuracy), and FAQPage schema on articles containing question-and-answer sections (directly unlocks FAQ rich results in the SERP).
Validate schema implementation with Google's Rich Results Test and Search Console's Enhancement reports. Invalid markup doesn't cause penalties, but it won't generate rich results — so fixing validation errors is the direct path to unlocking the SERP features the markup is supposed to enable. Treating implementation as a one-time task works well when template-level schema is applied consistently; treating it as per-article manual work creates inconsistent coverage.
Schema markup is the mechanism for unlocking rich results — FAQ dropdowns, breadcrumb paths, article authorship, and sitelink search boxes all require valid Schema.org markup to appear in the SERP
Author and Organization schema contribute to E-E-A-T signals — explicitly marking up authorship and company identity gives Google clear signals about who is responsible for the content
Template-level schema implementation is a one-time technical investment with compounding SERP returns — every new article published to a properly marked-up template inherits rich result eligibility automatically
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Full glossaryStructured Data
Structured data is code added to a webpage that explicitly tells search engines what the content means — not just what it says. It uses standardized vocabulary to describe entities like articles, products, FAQs, and organizations.
SEOE-E-A-T
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SEOKeyword Intent
Keyword intent (also called search intent) is the underlying goal a searcher has when they type a query — informational, navigational, commercial, or transactional.
SEOGEO (Generative Engine Optimization)
Generative Engine Optimization (GEO) is the practice of structuring content so it gets retrieved and cited by AI tools like ChatGPT, Perplexity, and Google AI Overviews.