An Organization is a core Schema.org @type representing a structured entity such as a corporation, NGO, educational institution, or government body. It serves as the canonical machine-readable definition of an official brand identity, enabling search engines and AI models to disambiguate a business from its web pages and establish it as a distinct node within a knowledge graph.
Glossary
Organization

What is Organization?
A foundational Schema.org type for defining the official identity, contact information, and digital authority of a company, institution, or group within machine-readable knowledge graphs.
Implementing the Organization type with JSON-LD allows developers to explicitly declare critical business attributes, including legalName, url, logo, address, and contactPoint. Crucially, the sameAs property links the entity to external authoritative identifiers like Wikidata or Wikipedia, reinforcing entity linking and ensuring generative AI engines associate the structured data with a verified, real-world organization.
Core Organization Properties
The essential Schema.org properties that define an Organization entity's identity, contact information, and authoritative presence across the web.
name
The official, legally recognized name of the organization. This is the primary identifier used by search engines and knowledge graphs to disambiguate your entity from others.
- Must match the exact name used on your homepage, legal filings, and authoritative profiles
- Avoid appending taglines or location modifiers unless they are part of the legal name
- Inconsistent naming across pages creates entity fragmentation, weakening your knowledge graph presence
Example: "name": "Acme Corporation" not "Acme Corp - Best Widgets"
url
The canonical homepage URL of the organization. This property establishes the primary digital anchor for the entity.
- Must be an absolute URL including the protocol (
https://) - Should match the canonical URL declared in your homepage's
<link rel="canonical">tag - Used by Google's Knowledge Graph to link structured data to the verified website
Example: "url": "https://www.acmecorp.com"
sameAs
An array of URLs pointing to the organization's official profiles on authoritative external platforms. This property is critical for entity reconciliation.
- Include Wikipedia/Wikidata entries, verified social media profiles, Crunchbase, and Bloomberg profiles
- Each URL must be an exact match for the canonical profile page
- Google uses
sameAsto merge entity signals across the web, strengthening your entity authority score
Example platforms:
https://www.wikidata.org/wiki/Q12345https://www.linkedin.com/company/acmecorphttps://twitter.com/acmecorp
logo
A URL pointing to the organization's official logo image. Google uses this in knowledge panels and search result branding.
- Image must be in a supported format: JPEG, PNG, WebP, or SVG
- Minimum resolution: 112x112px; recommended: 512x512px or larger
- The logo should be clearly recognizable, not an icon or favicon
- Use an
ImageObjecttype for richer metadata including width, height, and caption
Example:
json"logo": { "@type": "ImageObject", "url": "https://www.acmecorp.com/logo.png", "width": 512, "height": 512 }
contactPoint
Defines the organization's customer service contact information using the ContactPoint type. Essential for local SEO and trust signals.
- Specify
contactTypesuch as"customer service","sales", or"technical support" - Include
telephonein international format:"+1-555-123-4567" - Optionally add
email,availableLanguage, andareaServed - Multiple
ContactPointentries can be used for different departments
Example:
json"contactPoint": { "@type": "ContactPoint", "contactType": "customer service", "telephone": "+1-800-555-0199", "availableLanguage": ["English", "Spanish"] }
address
The organization's physical or mailing address using the PostalAddress type. Required for LocalBusiness subtypes and strongly recommended for all organizations.
- Include
streetAddress,addressLocality,addressRegion,postalCode, andaddressCountry - Use ISO 3166-1 alpha-2 country codes (e.g.,
"US","GB","DE") - Consistency with Google Business Profile and other citations is critical for local entity authority
Example:
json"address": { "@type": "PostalAddress", "streetAddress": "123 Main Street", "addressLocality": "San Francisco", "addressRegion": "CA", "postalCode": "94105", "addressCountry": "US" }
How Organization Markup Works
Organization markup provides a machine-readable declaration of an entity's official identity, disambiguating it from similarly named entities for search engines and AI systems.
Organization is a fundamental @type in the Schema.org vocabulary used to define an entity such as a corporation, NGO, or educational institution. By implementing this structured data, you provide a canonical entity home that explicitly states your official name, logo, and contact details, preventing AI models from conflating your brand with unrelated third parties.
The markup establishes a disambiguation node by linking to external authorities via the sameAs property, pointing to Wikidata or Wikipedia entries. This creates a verified identity graph that generative engines use to resolve entity references, ensuring your organization is cited accurately in AI-generated overviews rather than being hallucinated or omitted.
Frequently Asked Questions
Clarifying the technical implementation and strategic nuances of the Schema.org Organization type for AI-driven search engines.
The Schema.org Organization type is a structured data vocabulary used to define an entity—such as a corporation, NGO, or educational institution—by explicitly declaring its official brand identity, contact details, and relational attributes. It works by embedding a JSON-LD script within the <head> of a webpage, which acts as a machine-readable business card. When an AI search engine parses this markup, it disambiguates your company from similarly named entities. This prevents the model from hallucinating incorrect headquarters or logos by providing a canonical source of truth. The markup typically includes properties like name, url, logo, address, and sameAs links to authoritative databases like Wikidata, effectively anchoring your entity in the semantic web.
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Related Terms
Master the interconnected vocabulary that defines organizational identity for AI-driven search engines and knowledge graphs.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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