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GlossarySchema Markup

Schema Markup

Schema markup is structured data using Schema.org types, typically JSON-LD, that describes page content for search engines and answer systems.

Also known as: schema-org-markup · json-ld-markup

Why it matters

Clear machine-readable labels improve eligibility for rich results, disambiguate entities, and help AI systems cite the right passage with correct attribution. Invalid or spammy markup wastes trust.

How it works

You add JSON-LD scripts describing visible entities: Organization, Article, FAQPage, Product, etc. Validators check syntax and required fields. Search systems compare markup to rendered HTML; mismatches can be ignored or penalized.

Common mistakes

  • Marking up reviews or FAQs that are not visible to users.
  • Duplicating conflicting schema blocks on one URL.
  • Using wrong `@type` for the actual page format.
  • Copy-pasting competitor schema without matching your content.

Best practices

  • One primary type per page aligned with visible content.
  • Use JSON-LD in head; keep properties synchronized with copy.
  • Validate after CMS or template deploys.
  • Include `url`, `headline`, `dateModified` on articles when shown.

Learn Domains perspective

When someone searches your brand plus "pricing," rich results only help if schema matches what is visible on the page. Content Operations drafts include structured data for articles and FAQs you actually publish, so you are not hand-coding JSON-LD in every template.

FAQ

Does schema guarantee rich results?
No. It enables eligibility; relevance and quality still decide outcomes.
JSON-LD or microdata?
JSON-LD is preferred, easier to maintain and validate separately from HTML.
Should glossary pages use DefinedTerm schema?
Yes when the page visibly defines a term, Learn Domains glossary routes follow this pattern.

Next steps

  1. 1Validate homepage Organization JSON-LD.
  2. 2Audit FAQ schema on top articles for visibility match.
  3. 3Fix template regressions after next deploy.

Knowledge graph

Parent terms

  • Technical SEO

Child terms

  • Structured Data

Related concepts

entity-seo · on-page-seo · llms-txt

Entity relationships are structured for future graph visualization.

Continue learning

Related features

  • Content OperationsFrom opportunity to ready-to-publish draft.
  • Digital Asset ScoreOne health score, and what's dragging it down.

Related articles

  • The Modern SEO Stack: What Operators Should RunAn honest breakdown of the modern SEO software stack: best SEO tools, tech stack layers, and the weekly SEO workflow operators use to turn Search Console and Analytics into ranked work.
  • The Digital Asset Intelligence FrameworkDigital Asset Intelligence turns search, traffic, and revenue signals into ranked operator orders: not dashboards. The Learn Domains framework for website intelligence.
  • How To Audit A Website In 2026The 2026 website audit is eight layers: traffic, content, technical SEO, internal links, entities, Knowledge Base, revenue. Mission Brief: turned into ranked orders, not PDF theater.
  • Mission Briefs vs Traditional SEO AuditsTraditional SEO audits create overload: Mission Briefs create ranked orders on your connected data. Compare outputs, ICEE prioritization, and weekly execution.

Glossary terms

  • Structured DataStructured data is standardized, machine-readable annotation of web content, most commonly Schema.org vocabulary expressed as JSON-LD.
  • Entity SEOEntity SEO is the discipline of making organizations, products, and concepts machine-recognizable through consistent naming, structured data, and corroborating content.
  • E-E-A-TE-E-A-T is a framework describing the experience, expertise, authoritativeness, and trustworthiness expected of content and its creators, especially for YMYL topics.
  • LLM OptimizationLLM optimization is the practice of structuring public content and discovery files so large language models and answer engines can retrieve and attribute it correctly.
  • Featured SnippetsA featured snippet is a highlighted excerpt from a web page displayed prominently at the top of some SERPs to directly answer a query.
  • Technical SEOTechnical SEO is the optimization of site architecture, crawlability, indexation, performance, and structured data so search systems can access and interpret content correctly.

Documentation

  • Content OperationsTurn an opportunity into a brief, outline, and a ready-to-publish draft in your brand voice, with human review built in.
  • IntegrationsConnect Google Search Console and Google Analytics (GA4) with read-only scopes to power ranking, traffic, and revenue intelligence.
  • Getting startedAdd a website, connect your data, build a knowledge base, and generate your first Mission Brief.

Next steps

  • Pricing$1 trial, plans, and Mission Fuel credits.
  • Interactive demoDrive the command center on sample data. no signup.

Related concepts

entity seo · on page seo · llms txt

Related terms

  • Structured Data
  • Entity SEO
  • E-E-A-T
  • LLM Optimization
  • Featured Snippets
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