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 entityitemtype
– 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
andFAQPage
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