Author/Person Schema

Author and Person schema clarifies who stands behind the content, giving AI systems the ability to:

In the AI-search era, models rely heavily on Author/Person schema to distinguish:

When Person or Author entities are consistently represented, AI systems can reconstruct a clear entity graph, increasing interpretability and elevating trust.

Author/Person schema is also a defensive signal:
without explicit identity markup, AI systems may hallucinate an incorrect author or attribute content to generic sources.

Related EEI Resources

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Use @type: Person for all authors, including:

For institutional content, pair Person + Organization schema

Maintain global identity consistency
Use the same person name, description, and links across all pages to avoid identity fragmentation.

Include authorship schema on all long-form content:

Prevent duplicate or conflicting Author markup
Ensure CMS or plugins don’t auto-inject a second author field.

Validate schema regularly
Use Google Rich Results Test + Schema.org validator to confirm Person + Organization structures are error-free.

Why this matters:
Author/Person schema is one of the strongest trust signals for AI.
It shows that real, identifiable humans stand behind the institution’s voice — reinforcing interpretive trust and institutional credibility.

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Missing Author schema on long-form content
AI treats pages as anonymous or contextless.

Using generic strings like “admin” or “editor”
AI cannot identify a stable person entity.

Inconsistent person identity across pages
AI sees multiple conflicting versions of the same author.

Author schema present but no Person entity
(e.g., only "author": "Mike" instead of a structured @type: "Person")

Incorrect or missing sameAs links
AI cannot verify the author’s real-world identity.

Multiple conflicting authors listed in schema
Common when CMS plugins double-inject fields.

No linkage between Person → Organization
AI cannot understand institutional affiliation or authority.

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