Schema markup

Schema markup is structured data based on vocabularies such as schema.org, commonly embedded as JSON-LD. It can make entities and relationships explicit to systems that consume it, but there is no special schema that guarantees inclusion or citation in AI-generated answers.

In plain terms

Organization markup can state a company's canonical name, URL, logo, and sameAs profiles; Article, Product, and other types describe page-specific content.

Structured data must match the visible page. Markup that contradicts or invents content is not a substitute for clear, accurate HTML.

Google states that no special schema.org markup is required for AI Overviews or AI Mode. Structured data should be used for valid semantics and supported search features, not sold as an AI-citation switch.

Why it matters

Accurate structured data can make explicit facts easier for compatible systems to validate against the visible page.

Its value is semantic clarity and supported search features, not a guaranteed increase in AI mentions or citations.

How it relates to GetCited.me

GetCited.me's GEO audit detects selected JSON-LD signals, including Organization and FAQPage, and can produce copy-ready markup drafts. Generated content can also derive Article, FAQPage, or HowTo JSON-LD from the actual draft structure.

See the GEO audit

Where this shows up in practice

Per-engine reference pages: what the vendor documents about attribution, and what is not documented.

Google AI OverviewsTracked on Growth and Scale

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Related terms

FAQPage schemaFAQPage schema labels visible question-and-answer content; it is valid markup but not a confirmed AI-citation or Google AI-feature requirement.Organization schemaOrganization schema is structured data describing a company — name, URL, logo, and sameAs links to its official profiles.EntityAn entity is a distinct, machine-recognizable thing — a company, product, or person — that models track across sources.Deployable artifactA deployable artifact is a paste-ready asset — such as Organization JSON-LD, an About or FAQ block, or an llms.txt line — generated to implement a specific GEO or disambiguation fix.

Which schema types matter most for AI?

Use schema types that accurately match the page and the consuming platform's documentation. GetCited.me currently focuses on Organization and visible-FAQ alignment in the audit and can generate Article, FAQPage, or HowTo JSON-LD for supported content structures.

Does schema guarantee citations?

No. Schema can clarify structure for systems that consume it, but authority, indexing, retrieval, content quality, query relevance, and platform behavior determine whether a source is shown.

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