Local SEO

Local Business Schema

Local Business schema is a Schema.org structured data type that marks up a business's physical location details, including name, address, phone number, hours of operation, geographic coordinates, and service area, helping Google display accurate local business information in search results and Knowledge Panels.

Quick Answer

Local Business schema is a Schema.org structured data type that marks up a business's physical location details, including name, address, phone number, hours of operation, geographic coordinates, and service area, helping Google display accurate local business information in search results and Knowledge Panels.

  • Schema-GBP consistency is mandatory, every LocalBusiness schema property (NAP, hours, categories) must exactly match the corresponding Google Business Profile data
  • GeoCoordinates precision, include latitude and longitude in the schema's geo property to provide precise location signals that override approximate address-based geocoding
  • OpeningHoursSpecification, specify hours by day using the structured openingHoursSpecification format rather than plain text; this enables rich hours display in Knowledge Panels

Key Takeaways

  • Schema-GBP consistency is mandatory, every LocalBusiness schema property (NAP, hours, categories) must exactly match the corresponding Google Business Profile data
  • GeoCoordinates precision, include latitude and longitude in the schema's geo property to provide precise location signals that override approximate address-based geocoding
  • OpeningHoursSpecification, specify hours by day using the structured openingHoursSpecification format rather than plain text; this enables rich hours display in Knowledge Panels

How Local Business Schema Works

LocalBusiness schema is a subtype of the Organization schema on Schema.org that provides machine-readable location-specific information about a business. Key properties include: name, address (PostalAddress with streetAddress, addressLocality, addressRegion, postalCode, addressCountry), telephone, openingHoursSpecification, geo (GeoCoordinates with latitude and longitude), priceRange, url, and image. When implemented correctly, this structured data helps Google display rich business information directly in search results, including hours, ratings, and address, reducing friction for users seeking local business information.

Why Local Business Schema Matters for B2B Marketing

For local SEO, LocalBusiness schema reinforces NAP (Name, Address, Phone) consistency signals, one of Google's primary local ranking factors. When the schema data exactly matches the information in the Google Business Profile and major citation directories (Yelp, BBB, Bing Places), it creates a consistent entity signal that strengthens the local pack ranking. Discrepancies between schema data and GBP data are interpreted as reliability concerns and can suppress local rankings. Schema also enables Knowledge Panel population for local businesses, which improves branded search appearance and trust signals.

Local Business Schema: Best Practices & Strategic Application

Advanced LocalBusiness schema implementations include: department-level schema for businesses with multiple service areas (using hasMap for each department), openingHoursSpecification for complex hours (including holiday hours using validFrom/validThrough), menu property for restaurants or service catalogs, aggregateRating markup linked to review data, and servesCuisine or medical specialty properties for relevant business types. For multi-location businesses, separate LocalBusiness schema instances should be implemented on each location page with location-specific data.

Agency Perspective: Local Business Schema in Practice

The most valuable application of LocalBusiness schema for B2B service companies is the combination of schema + GBP alignment for service-area businesses. Many B2B companies serve multiple metro areas without physical offices in each, using a ServiceArea subtype within LocalBusiness schema to define the geographic coverage area supports local relevance signals for these markets. MV3's local SEO implementations always include a schema-to-GBP consistency audit as a first step, because mismatches between schema and GBP data are among the most common and most easily fixed local ranking suppressors.

Frequently Asked Questions: Local Business Schema

Put Local Business Schema Into Practice

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