Local Business Schema Generator

What Is a Local Business Schema Generator?

A Local Business Schema Generator is an online SEO tool that helps create structured data for a business with a physical location or local presence. It organizes business information into a format that search engines and other systems can interpret. Many generators produce JSON-LD, a structured data format recommended by Google for supported search features.

Local business structured data uses vocabulary from Schema.org's LocalBusiness type. It can describe a business's identity, address, contact information, location, opening hours, and other relevant details. Depending on the type of business, a more specific subtype such as Restaurant, Dentist, Store, or AutomotiveBusiness may be more appropriate than the generic LocalBusiness type.

Instead of manually writing every JSON-LD property, you can use a generator to assemble a structured data template, review the details, and add the resulting markup to a suitable page on your website.

What Is Local Business Schema in SEO?

Local Business schema is structured data that describes a particular local business or business location. It gives search engines an organized representation of information that may otherwise appear only as text on a webpage.

For example, a restaurant website may display its name, address, telephone number, cuisine, menu, and opening hours. Adding accurate structured data can help search engines interpret these details as properties of the restaurant rather than unrelated pieces of text.

Google documents LocalBusiness structured data for eligible search features and recommends using the most specific business subtype that accurately describes the location. However, using schema markup does not guarantee a particular search appearance, a knowledge panel, or improved rankings.

How to Use a Local Business Schema Generator

Creating local business structured data is easier when your business information is ready before you begin. Follow these steps to prepare, implement, and verify your markup.

1. Choose the correct business type. Select the most specific Schema.org subtype that accurately describes your business, such as Restaurant, Dentist, Store, or another relevant local business type.
2. Enter the official business name. Use the real name of the business or location. Avoid adding unrelated keywords, promotional phrases, or claims to the name field.
3. Add the physical address. Enter the applicable street address, locality or city, state or region, postal code, and country. For Google LocalBusiness rich result eligibility, Google identifies the business name and physical address as required properties.
4. Enter contact and website details. Add the primary customer telephone number and the complete URL of the relevant business webpage when these fields are available.
5. Include opening hours and location information. Supply accurate business hours and geographic coordinates if you have verified data for those properties.
6. Add other applicable information. Depending on your business type, include details such as a logo, images, price range, menu URL, or other relevant properties supported by the chosen schema type.
7. Generate and review the JSON-LD. Inspect the output for missing values, incorrect URLs, formatting problems, and details that do not match the business.
8. Add the markup to your website. Place the generated JSON-LD on a relevant page, such as the page describing the business or the individual location.
9. Test the implementation. Use Google's Rich Results Test and other suitable validators, then use Search Console URL Inspection to check how Google accesses the page.

Important LocalBusiness Schema Properties

The right schema properties depend on the business type and the information available. Include required properties for your intended Google search feature and add applicable recommended properties when they accurately describe the business.

For Google's LocalBusiness rich result requirements, name and address are the required properties. Other properties can provide more information when they apply. See the current Google Local Business structured data documentation for the exact requirements and recommendations.

Local Business Schema JSON-LD Example

The example below illustrates a basic LocalBusiness JSON-LD structure. It uses fictional sample details and a generic business type so that you can see how the properties fit together. Replace every example value with accurate details for your own business before using the markup.

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Example Business",
  "url": "https://www.example.com/",
  "telephone": "+1-555-010-1234",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Example Street",
    "addressLocality": "Example City",
    "addressRegion": "Example Region",
    "postalCode": "12345",
    "addressCountry": "US"
  },
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday"
      ],
      "opens": "09:00",
      "closes": "18:00"
    }
  ]
}

In this example, @context identifies Schema.org, while @type identifies the business category. The name and address describe the business, and the other properties add contact, website, and opening-hour information.

The address, telephone number, country, and opening hours above are illustrative placeholders rather than information about a real business. The appropriate property values and schema type will depend on the business and its location.

Choosing a More Specific Business Type

When a more specific Schema.org subtype accurately describes the business, consider using it instead of the generic LocalBusiness type. For example, a restaurant may use Restaurant, while a dental practice may use Dentist.

{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "Example Restaurant",
  "url": "https://www.example.com/restaurant",
  "telephone": "+1-555-010-1234",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Example Street",
    "addressLocality": "Example City",
    "addressRegion": "Example Region",
    "postalCode": "12345",
    "addressCountry": "US"
  },
  "servesCuisine": "Italian",
  "priceRange": "$$"
}

Use a business-specific type and properties only when they accurately represent the business. A restaurant's cuisine, a shop's price range, or a service provider's contact details should not be guessed or added just to make the code longer.

Which Businesses Can Use LocalBusiness Schema?

LocalBusiness schema can describe a wide range of physical businesses and individual business locations. The important step is to choose the type that best matches the entity represented by the webpage.

These examples are not a complete list of available subtypes. Explore the Schema.org LocalBusiness hierarchy to identify a type that accurately describes your organization.

LocalBusiness Schema vs. Organization Schema

LocalBusiness and Organization are related Schema.org types, but they describe entities at different levels of specificity. LocalBusiness is a subtype of Organization and is intended to describe a particular local business or branch.

For websites that describe both a larger organization and its individual locations, use structured data that reflects those real relationships. Follow the documentation for the relevant schema types instead of repeating conflicting descriptions across pages.

See Google's Organization structured data documentation for guidance on representing an organization.

How to Add Local Business Schema to WordPress

Once your JSON-LD has been generated and reviewed, you need to add it to the relevant page on your website. The exact implementation method depends on your WordPress theme, SEO plugins, structured data plugins, and hosting configuration.

1. Identify the correct page. Choose a page that genuinely describes your business, such as the main business page or a dedicated location page.
2. Check your existing schema. Before adding another script, inspect your SEO plugin and theme to see whether LocalBusiness or Organization structured data is already being generated.
3. Choose an implementation method. Use an appropriate SEO plugin, structured data plugin, theme integration, or custom code option that can add JSON-LD to the required page.
4. Insert the completed JSON-LD. If you are using a custom code solution, ensure the JSON-LD script is added correctly and is not displayed as ordinary webpage text.
5. Test the published page. Inspect the actual webpage and verify that the structured data appears in the rendered HTML or page source as expected.
6. Validate and monitor. Run the page through the Rich Results Test and check Search Console for applicable structured data reports and crawling problems.

How to Validate Local Business Structured Data

Validation is an important part of implementing schema markup. A generator can help assemble the code, but testing helps identify technical problems and shows whether the markup meets the criteria of supported Google search features.

What Should You Check?

• Confirm that the selected schema type matches the actual business.
• Verify that the business name and physical address are accurate.
• Check that URLs and image references point to valid, accessible resources.
• Ensure opening hours, telephone numbers, and other properties reflect real business information.
• Confirm the JSON-LD is syntactically valid and uses correctly formatted values.
• Make sure the markup is relevant to the page and follows Google's general structured data guidelines.

Passing a validation test does not guarantee that a rich result will appear. Search engines make their own decisions about eligible search features, and recrawling may be needed after changes are published.

Read Google's general structured data guidelines for additional technical and content requirements.

Common Local Business Schema Mistakes to Avoid

• Using the wrong business type. Select the most specific applicable subtype that accurately describes the entity rather than picking a category just because it appears more relevant to a keyword.
• Entering incorrect business details. Incorrect addresses, outdated telephone numbers, and inaccurate opening hours can make the structured data misleading.
• Using sample values on a live website. Replace example names, addresses, telephone numbers, and URLs before publishing the generated code.
• Adding properties that do not apply. Do not invent geographic coordinates, ratings, prices, menus, or other facts merely to include more schema fields.
• Adding fake reviews or ratings. Structured data must accurately represent eligible, genuine content. Do not create review markup from invented feedback or use ratings that are not supported by the visible content and applicable guidelines.
• Ignoring existing structured data. Check whether your CMS, theme, or SEO plugin already outputs related schema before adding additional markup.
• Testing only the code instead of the live page. A snippet can appear valid in isolation while the published page has inaccessible resources, duplicate markup, or other implementation problems.
• Expecting guaranteed rankings or rich results. Structured data can help search engines interpret information, but it is not a guarantee of higher rankings or a specific appearance in search results.

Frequently Asked Questions

Create Accurate Local Business Structured Data

A Local Business Schema Generator can simplify the process of preparing structured data for a local business website. By organizing business identity, address, contact information, opening hours, and other relevant details into JSON-LD, you can make the information easier for search engines to interpret.

For the best implementation, use the most specific schema type that fits your business, enter accurate information, and add the markup to a relevant page. Validate the published output and review any warnings before considering the implementation complete.

For authoritative technical guidance, consult Google's Local Business structured data documentation, Schema.org's LocalBusiness reference, and Google's general structured data guidelines.