Pillar Page
Schema & Structured Data for AI Visibility
Structured data as trust and context for LLMs.
Structured Data Playbook
Machine-readable clarity
Structured data helps LLMs understand entities, relationships, and authority. This playbook prioritizes markups, QA processes, and monitoring.
Priority markups
DefinedTerm/DefinedTermSet for glossary entries and hub.
Article + Author/Organization for pillars & blog. FAQPage/HowTo where relevant.
BreadcrumbList for cluster navigation, Website/Organization for baseline signals.
Implementation & QA
Prefer JSON-LD, server-rendered. Avoid duplicate/contradicting markups.
Testing: Rich Results Test, Schema Markup Validator, automated linting in CI.
Context & consistency
Consistent naming (Organization, Author), same logos/URLs across schemas.
Link markups internally: breadcrumbs, sameAs, inDefinedTermSet, about/mentions.
Monitoring
Versioning and rollback for changes. Alerts on validation errors.
Sample logs: are schemas loaded by AI bots?
Examples
DefinedTerm JSON-LD snippet for a glossary term.
Article + FAQ combo for pillar pages.
BreadcrumbList for cluster navigation.
Next step