What Is Schema.org?
Schema.org is the shared vocabulary that powers structured data across the web. Learn how Schema.org helps search engines and AI systems understand businesses, websites, and other real-world entities.
Search engines need a common language.
Without one, every website could describe the same business in completely different ways.
Schema.org provides that shared vocabulary.
It gives websites a standardized way to describe businesses, people, organizations, products, events, and many other real-world entities so search engines and AI systems can interpret them consistently.
What is Schema.org?
Schema.org is an open vocabulary used to organize structured data.
Instead of inventing your own labels, you use standardized terms that search engines already understand.
For example, rather than simply displaying a phone number, Schema.org lets you identify it specifically as a business telephone number.
That removes ambiguity and improves machine understanding.
How it works
Schema.org defines thousands of standardized properties.
Businesses commonly use it to describe:
Business name
Address
Phone number
Website
Business category
Services
Hours
Geographic location
Social profiles
Those standardized labels become part of the structured data published on a website.
Why it matters
Search engines compare information from many trusted sources.
When your website uses Schema.org vocabulary and that information matches your listings across Maps, directories, and review sites, confidence increases that every source describes the same business.
That stronger confidence supports:
Better entity recognition
Stronger knowledge graph connections
More accurate AI-generated answers
Improved business understanding
Schema.org and JSON-LD
Schema.org defines the vocabulary.
JSON-LD is one of the formats used to publish it.
Think of Schema.org as the dictionary and JSON-LD as the language used to deliver those definitions to search engines.
They work together to help machines understand your website more accurately.
Keep your data consistent
Schema.org works best when it matches the visible information on your website and the information published elsewhere online.
Consistency—not quantity—is what builds trust.
Key takeaway
Schema.org gives websites a common vocabulary that search engines and AI systems understand.
Combined with accurate structured data and consistent business information, it strengthens your digital identity across the web.
Check your business visibility
Use the Visibility Checkerto see how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery.
What Is JSON-LD?
JSON-LD is the most common format for adding structured data to websites. Learn how JSON-LD helps search engines understand businesses without changing what visitors see.
Adding structured data to a website doesn't have to change what visitors see.
Instead, it can be added behind the scenes in a format that search engines can easily understand.
The most common format for doing this is JSON-LD.
What is JSON-LD?
JSON-LD stands for JavaScript Object Notation for Linked Data.
It is a structured way to describe information about a webpage or business using clearly labeled data.
Visitors never see it.
Search engines and AI systems read it while crawling your website.
Why search engines recommend it
JSON-LD separates structured data from the visible content on a webpage.
That makes it easier to maintain and reduces the chance of accidentally changing the page layout.
It also allows developers to update structured information without rewriting page content.
What can JSON-LD describe?
Businesses commonly use JSON-LD to identify:
Business name
Address
Phone number
Website
Business category
Services
Hours
Service areas
Social profiles
These attributes help search systems understand exactly what the business represents.
JSON-LD supports entity recognition
JSON-LD does not improve visibility by itself.
Instead, it gives search engines another trustworthy source of structured information.
When JSON-LD matches information found on your website, Maps, directories, and other trusted sources, confidence increases that all references describe the same business.
Keep it accurate
Like every other business signal, JSON-LD should always match your visible website information.
Outdated or incorrect structured data can create confusion just as inconsistent business listings can.
Maintaining accurate information everywhere is far more valuable than simply adding more markup.
Key takeaway
JSON-LD is the preferred format for publishing structured business data on modern websites.
Combined with accurate business information and consistent entity signals, it helps search engines and AI systems understand your business with greater confidence.
Check your business visibility
Use the Visibility Checkerto see how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery.
What Is Schema Markup?
Schema markup helps search engines understand the meaning of information on your website. Learn what schema markup is, how it works, and why it supports business visibility across search engines and AI systems.
Search engines don't simply read the words on your website.
They also try to understand what those words represent.
Schema markup helps make that process easier.
It provides structured information that explains the meaning of your business details so search engines and AI systems can interpret them more accurately.
What is schema markup?
Schema markup is structured code added to a webpage that describes its content.
Instead of guessing whether a phone number belongs to a business or whether an address is a store location, search engines can identify that information with greater confidence.
Schema doesn't change what visitors see.
It adds information specifically for machines to understand.
What information can schema describe?
Businesses commonly use schema to identify:
Business name
Address
Phone number
Website
Business category
Hours
Services
Service areas
Social profiles
These details help search engines recognize that the page describes a real-world business.
How schema supports search
Schema markup is one signal among many.
Search engines compare it with information from Maps, directories, reviews, and other trusted sources.
When those sources agree, confidence increases that the information is accurate.
Schema works best when it reflects the same information found everywhere else online.
Why it matters
Schema markup helps reduce ambiguity.
Instead of interpreting plain text, search systems receive clearly labeled business information.
That improves understanding for:
Search engines
Maps
Knowledge graphs
AI-generated answers
Voice search
Keep schema accurate
Schema should always match the information displayed on your website.
If your business changes locations, phone numbers, or services, update your schema at the same time.
Accurate structured information helps maintain a strong digital identity.
Key takeaway
Schema markup helps search engines understand what your website is describing—not just what it says.
Combined with consistent business information across the web, schema strengthens recognition and supports better online visibility.
Check your business visibility
Use the Visibility Checker to see how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery.
What Is Structured Business Data?
Structured business data organizes information into a format that search engines and AI systems can understand more easily. Learn why structured data strengthens business recognition and online visibility.
Every business publishes information online.
Your website lists your services.
Your contact page shows your phone number.
Your Google Business Profile contains your address.
To people, this information is easy to understand.
Search engines, however, work best when that information follows a consistent structure.
That's where structured business data becomes important.
What is structured business data?
Structured business data is information organized in a predictable format so computers can interpret it more accurately.
Instead of simply reading text, search engines can identify specific business details like:
Business name
Address
Phone number
Website
Services
Categories
Hours
Geographic location
This makes it easier to understand exactly what a business represents.
Why structure matters
Search engines compare information from many different sources.
When business information follows consistent patterns, systems can match records more confidently and reduce ambiguity.
Structured information also helps AI systems summarize businesses more accurately.
More than your website
Structured business data extends beyond one webpage.
Search engines compare information across:
Company websites
Business directories
Google Business Profile
Maps
Review platforms
Industry listings
Public records
Consistent structure across these sources strengthens recognition.
Building stronger digital identities
Accurate structured data supports:
Entity recognition
Knowledge graphs
Local search
AI-generated answers
Business discovery
The goal is not simply ranking higher—it is making your business easier for search systems to understand.
Why it matters
Businesses with organized, consistent information create stronger digital identities.
That improves confidence for search engines, Maps, and AI systems while making it easier for customers to find accurate information.
Key takeaway
Structured business data organizes business information into formats that search engines can interpret with greater confidence.
The better your information is organized and maintained, the stronger your online visibility becomes.
Check your visibility
Use the Visibility Checker to discover how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery.
What Is an Entity Attribute?
Every business is made up of attributes such as its name, address, website, services, and categories. Learn how entity attributes help search engines and AI systems recognize businesses more accurately.
Every business can be described by a collection of facts.
Its name.
Its address.
Its phone number.
Its website.
Its services.
Together, these facts are known as entity attributes.
Search engines and AI systems use these attributes to recognize, compare, and understand real-world businesses.
What are entity attributes?
An entity attribute is a characteristic that describes an entity.
For a business, common attributes include:
Business name
Address
Phone number
Website
Business category
Services
Operating hours
Geographic location
Each attribute helps search systems determine exactly which business they are analyzing.
Why attributes matter
No single attribute identifies a business by itself.
Instead, search engines compare many attributes together.
For example:
A matching business name is useful.
A matching address adds confidence.
The same website increases confidence further.
Accurate services and categories strengthen recognition even more.
Together, these attributes create a much clearer digital identity.
Attributes build confidence
Search engines continuously compare information from websites, directories, Maps, reviews, and public references.
When attributes remain accurate across those sources, confidence increases that every record belongs to the same business.
When attributes conflict, recognition becomes more difficult.
AI also depends on attributes
Modern AI systems organize businesses using structured information.
The more accurate your attributes remain, the easier it becomes for AI to summarize your business correctly and answer customer questions with confidence.
Maintaining accurate attributes
Businesses should review their core information regularly.
Good practices include:
Updating business details after changes
Removing duplicate listings
Correcting outdated information
Keeping the company website current
Maintaining consistent categories and services
These habits make it easier for search engines and AI systems to understand your business.
Key takeaway
Entity attributes are the individual pieces of information that describe a business.
Together, they form the digital identity that search engines, Maps, and AI systems use to recognize and understand your business.
Check your visibility
Use the Visibility Checker to discover how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery.
What Is Entity Resolution?
Entity resolution is the process search engines and AI systems use to determine when different pieces of information describe the same real-world business. Learn why it matters for online visibility.
Every business leaves information across the internet.
Your website, Google Business Profile, Maps listings, review sites, directories, news articles, and social profiles all describe your company in different ways.
Search engines must decide whether those records belong to one business—or several.
That process is called entity resolution.
Matching real-world businesses
Entity resolution is the process of comparing information from many sources to determine whether they describe the same real-world entity.
Search systems compare details such as:
Business name
Address
Phone number
Website
Categories
Geographic location
Services
Public references
The more those details agree, the easier it becomes to recognize one business across many sources.
Why it matters
Without entity resolution, search engines would treat every listing as unrelated information.
Instead, they combine trusted signals to build one complete understanding of your business.
This helps produce:
More accurate search results
Better Maps information
Stronger business recognition
More reliable AI-generated answers
Small differences are normal
Businesses are rarely described in exactly the same way everywhere.
One directory may abbreviate a street name.
Another may use a different phone format.
A review site might shorten the company name.
Search engines expect small differences.
The challenge comes when multiple trusted sources contain conflicting or outdated information.
Better information creates stronger confidence
Entity resolution is based on confidence, not perfection.
When accurate information appears consistently across trusted sources, confidence increases that those records describe the same business.
That confidence helps improve how your business is understood across search engines and AI systems.
How businesses can help
Businesses can make entity resolution easier by:
Using one official business name
Keeping contact information current
Updating listings after changes
Removing duplicate profiles
Maintaining a consistent website
These practices help search systems recognize your business more accurately.
Check your visibility
Entity resolution connects information from many different sources into one recognized business identity.
The stronger and more consistent those signals become, the easier it is for search engines, Maps, and AI systems to understand your business correctly. See your business visibility
Use the Visibility Checker to discover how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery.
What Is a Knowledge Graph?
A knowledge graph helps search engines connect people, places, businesses, and organizations into real-world entities. Learn how knowledge graphs improve search results, Maps, and AI-generated answers.
A knowledge graph is a system that helps search engines understand how real-world things are connected.
Instead of treating every webpage as isolated information, search engines connect businesses, people, locations, products, and organizations into relationships that describe the real world.
This allows search systems to understand entities—not just keywords.
More than a database
A knowledge graph is not simply a list of businesses.
It stores relationships between entities.
For example, a business may be connected to:
Its website
Physical locations
Phone numbers
Services
Reviews
Industry categories
Social profiles
Owners
Nearby places
Together, those relationships help search engines build a clearer understanding of the business.
Why search engines use knowledge graphs
Search engines collect information from thousands of trusted sources.
As those sources agree, confidence increases that they describe the same business.
That information becomes part of a larger network of connected entities.
This helps search engines answer questions more accurately instead of relying on a single webpage.
Knowledge graphs power modern search
Many search features depend on entity relationships, including:
Local search results
Google Maps
Business information panels
AI-generated answers
Related business suggestions
Voice search
The stronger your business's digital identity, the easier it becomes for these systems to connect your information correctly.
Building stronger connections
Businesses improve their presence in knowledge graphs by maintaining consistent information across the web.
Helpful practices include:
Keeping one official business name
Maintaining accurate contact information
Updating listings after changes
Removing duplicate profiles
Publishing clear information on the company website
These actions help search engines recognize that multiple references belong to one real-world business.
Why it matters
Knowledge graphs help search engines understand businesses rather than simply matching keywords.
When your information is consistent and trustworthy, search engines and AI systems can identify your business with greater confidence and deliver more accurate results to customers.
Key takeaway
A knowledge graph connects information from many trusted sources to build a complete understanding of real-world businesses.
The more consistent your digital information becomes, the easier it is for search engines, Maps, and AI systems to recognize and recommend your business.
See your business visibility
Use the Visibility Checker to discover how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery.
How Search Engines Identify Businesses
Search engines don't identify businesses from a single website. They compare information from many sources to determine whether different mentions refer to the same real-world business.
Search engines do much more than crawl websites.
Their job is to determine whether different pieces of information describe the same real-world business. Every website, directory, review, map listing, and social profile becomes another signal that helps build that understanding.
The more those signals agree, the easier it is for search engines to recognize your business with confidence.
Businesses leave digital footprints
A business appears in many places online.
Examples include:
Company website
Google Business Profile
Google Maps
Apple Maps
Industry directories
Review websites
Social media
News articles
Government records
Each source provides another piece of information that search engines compare.
Matching information together
Search systems don't rely on one source.
Instead, they compare details such as:
Business name
Address
Phone number
Website
Services
Categories
Operating hours
Geographic location
When those details consistently describe the same organization, confidence increases that every reference belongs to one business.
Confidence matters
Search engines rarely make decisions using absolute certainty.
Instead, they calculate confidence.
When multiple trusted sources agree, they become more confident that they understand the business correctly.
When information conflicts, confidence decreases and additional verification may be required.
More than websites
Many people assume rankings depend only on their website.
In reality, search engines continuously compare information across many independent sources.
Even businesses with excellent websites can create confusion if outdated information exists elsewhere online.
That's why maintaining consistent business information across the web is important.
AI uses similar signals
Modern AI search systems also gather information from multiple sources.
Rather than relying on a single webpage, AI models often summarize information after identifying the business across numerous trusted references.
The better your digital information aligns, the easier it becomes for both search engines and AI systems to understand who you are.
Building stronger recognition
Businesses can improve recognition by:
Using one official business name
Maintaining accurate contact information
Updating listings after changes
Removing duplicate profiles
Keeping their website current
Monitoring public references regularly
These habits help create a more complete and trustworthy digital identity.
Key takeaway
Search engines identify businesses by comparing information from many different sources—not by relying on a single website.
The more accurate and consistent those sources remain, the easier it becomes for search engines, Maps, customers, and AI systems to recognize your business correctly.
Check your business visibility
Use the Visibility Checker to see how consistently your business appears across search engines, Maps, directories, reviews, competitors, and AI-powered discovery. The Visibility Checker reveals how a business appears across search, Maps, reviews, websites, competitors, and AI-generated answers.