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TrustPublishing™

TrustPublishing™

Train AI to trust your brand.

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Microdata

Microdata is an inline HTML markup format that uses attributes like itemprop, itemscope, and itemtype to define structured data directly in the page’s visible content.

Full Definition

Microdata is a W3C standard for embedding structured data directly into the HTML of a webpage. It allows you to label content elements with semantic meaning—so that machines can understand what a piece of text, link, or image actually represents.

Common Microdata attributes include:

  • itemscope – defines the scope of an entity
  • itemtype – declares the schema type (e.g. schema:Person)
  • itemprop – defines a property of the entity (e.g. name, description, url)

Although JSON-LD has become the preferred format for structured data, Microdata remains useful for:

  • Inline schema on elements like product ratings or authorship
  • CMS-driven environments where inline content rendering is required
  • Legacy SEO plugins or content editors that don’t support JSON-LD

Why It Matters

Microdata isn’t always visible to the user—but it’s still read by search engines and AI crawlers. In the TrustPublishing framework, it may serve as:

  • A fallback signal when JSON-LD is not available
  • A complementary trust marker inside paragraph or heading tags
  • A way to wrap dynamic content with semantic meaning

Use in Trust Publishing

While TrustPublishing prioritizes JSON-LD for all glossary, FAQ, and TrustDigest outputs, Microdata may be used for:

  • Inline rendering of DefinedTerm and FAQPage types
  • Marking up nested entities within the visible body of a page
  • Enhancing co-occurrence and semantic reinforcement in block-level content

Microdata is part of the Trust Publishing Markup Layer.

In Speech

“Microdata is how you add semantic meaning to content right in the HTML—without needing a separate script block.”

Related Terms

  • JSON-LD
  • TrustDigest™
  • Structured Signals
  • Trust Publishing Markup Layer

More Trust Publishing Definitions:

  • AI Visibility
  • Artificial Intelligence Trust Optimization (AITO™)
  • Canonical Answer
  • Citation Graphs
  • Citation Scaffolding
  • Co-occurrence
  • Co-Occurrence Conditioning
  • Co-Occurrence Confidence
  • data-* Attributes
  • DefinedTerm Set
  • EEAT Rank
  • Entity Alignment
  • Entity Relationship Mapper
  • Format Diversity Score
  • Format Diversity Score™
  • Ingestion Pipelines
  • JSON-LD
  • Machine-Ingestible
  • Markdown
  • Memory Conditioning
  • Microdata
  • Passive Trust Signals
  • PROV
  • Retrievability
  • Retrieval Bias Modifier
  • Retrieval Chains
  • Retrieval-Augmented Generation (RAG)
  • Schema
  • Scoped Definitions
  • Semantic Digest™
  • Semantic Persistence
  • Semantic Proximity
  • Semantic Trust Conditioning™
  • Signal Weighting
  • Signal Weighting Engine™
  • Structured Signals
  • Temporal Consistency
  • Topic Alignment
  • Training Graph
  • Trust Alignment Layer™
  • Trust Architecture
  • Trust Footprint
  • Trust Graph™
  • Trust Marker™
  • Trust Publishing Markup Layer
  • Trust Signal™
  • Trust-Based Publishing
  • TrustCast™
  • TrustRank™
  • Truth Marker™
  • Truth Signal Stack
  • Turtle (TTL)
  • Verifiability
  • XML

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