What LocalBusiness schema is
Schema markup is code that communicates meaning to machines rather than to human readers. Where a human looking at your website can understand from context that you are a dental practice in Tucson, an AI system or search engine crawler processes raw page text and needs structured signals to confirm what you are, where you are, and what you do.
LocalBusiness schema is the specific schema type designed for businesses with a physical location or service area. It belongs to the schema.org vocabulary, a shared standard maintained by Google, Microsoft, Yahoo, and Yandex. The markup lives in the page head as a JSON-LD block, a structured data format that does not affect how the page looks to human visitors.
Why LocalBusiness schema matters for AI search specifically
For local AI search citation, LocalBusiness schema is the foundational signal. When Google AI Overviews, ChatGPT, or Perplexity synthesise a response to a query like “best family dentist in Tucson” or “reliable plumber in Denver,” they draw on structured data signals to identify and characterise local businesses.
Entity identity is the mechanism. AI engines build associations between named entities (your business) and the attributes associated with that entity: service type, location, service area, hours. LocalBusiness schema expresses those attributes in machine-readable format, directly rather than relying on the AI to infer them from unstructured page text.
NAP consistency is the AI citation signal most local businesses underestimate. NAP stands for name, address, phone number. When your NAP appears identically in your LocalBusiness schema, your Google Business Profile, Yelp listing, and industry directory, AI systems can confidently attribute all these references to one business entity. When the name varies (“Rivera’s Plumbing” in the schema vs “Rivera Plumbing LLC” on Yelp), AI systems may treat these as different businesses, reducing citation confidence and frequency.
LocalBusiness schema also creates a machine-readable link between your website entity and your other authoritative web presences through the sameAs field, which is covered below.
The key fields and what they do
Here is a realistic LocalBusiness schema JSON-LD example showing the fields that matter most for AI citation:
{
"@context": "https://schema.org",
"@type": "Plumber",
"name": "Denver Plumbing Co.",
"address": {
"@type": "PostalAddress",
"streetAddress": "1842 Larimer Street",
"addressLocality": "Denver",
"addressRegion": "CO",
"postalCode": "80202",
"addressCountry": "US"
},
"telephone": "+1-303-555-0174",
"url": "https://denverplumbingco.com",
"openingHours": ["Mo-Fr 08:00-18:00", "Sa 09:00-14:00"],
"areaServed": ["Denver", "Aurora", "Lakewood", "Centennial"],
"description": "Denver Plumbing Co. provides emergency plumbing repair, water heater installation, drain cleaning, and bathroom remodelling for homeowners across the Denver metro area, with 24/7 emergency availability.",
"image": "https://denverplumbingco.com/images/team.jpg",
"sameAs": [
"https://www.google.com/maps?cid=YOUR_GOOGLE_CID",
"https://www.yelp.com/biz/denver-plumbing-co",
"https://www.facebook.com/denverplumbingco",
"https://www.linkedin.com/company/denver-plumbing-co"
]
}
What each field does for AI citation:
name — The exact business name as you want AI systems to learn and reproduce it. Use the same name here as in your Google Business Profile and all directory listings. Any variation creates entity ambiguity.
address with PostalAddress — The structured address signals your precise location. addressLocality and addressRegion are the fields AI engines use for location-based queries (“plumber in Denver” requires Denver to be explicitly associated with your entity).
telephone — Confirms your phone number in machine-readable format. This is a NAP field and should match your Google Business Profile and directory listings exactly.
openingHours — Signals your availability. AI engines draw on this field when answering “is [business] open now” queries and when synthesising local business recommendations that mention availability.
areaServed — One of the most AI-citation-relevant fields. It explicitly associates your business with the geographic areas you serve beyond your immediate address. A plumber at a Denver address who serves Aurora, Lakewood, and Centennial needs areaServed to get cited for queries in those areas.
description — The field most local businesses underinvest in. Write a specific, entity-rich description: your business name, your service type, your specific services, your location, and who you serve. “A local plumbing company” contributes nothing. “Denver Plumbing Co. provides emergency plumbing repair, water heater installation, drain cleaning, and bathroom remodelling for homeowners across the Denver metro area, with 24/7 emergency availability” is specific, named, and citable.
sameAs — The most underused field for AI citation, and the one that matters most for entity consistency. The sameAs array links your website entity to your authoritative external profiles: your Google Business Profile, Yelp listing, Facebook business page, LinkedIn company page, and any Wikipedia or Wikidata entry. When AI engines encounter your business name in a query, sameAs tells them that all these profiles point to the same entity. It removes entity ambiguity across the web.
LocalBusiness subtypes
Rather than using the generic LocalBusiness type, use the most specific available subtype for your business. Schema.org includes subtypes that tell AI and search systems exactly what kind of business you are.
Healthcare: Dentist, Physician, Optician, Optometrist, MedicalClinic, DentalClinic
Legal: LegalService, Attorney
Home services: Plumber, Electrician, HVACBusiness, RoofingContractor, GeneralContractor, HomeAndConstructionBusiness
Food and hospitality: Restaurant, CafeOrCoffeeShop, Bakery, BarOrPub, FastFoodRestaurant
Professional services: AccountingService, FinancialService, InsuranceAgency, RealEstateAgent
Using a specific subtype rather than generic LocalBusiness gives AI engines a more precise entity classification. "@type": "Plumber" signals more clearly than "@type": "LocalBusiness" what your business does, and it associates your entity with the specific query pool for plumbing queries.
How to implement LocalBusiness schema
In WordPress with Yoast SEO: Go to Yoast SEO settings, then Site Representation. Select Organisation or Local Business, fill in your business name, address, phone number, and logo. Yoast will generate and output the schema automatically. For the full LocalBusiness schema including areaServed, description, and sameAs, use Yoast’s Local SEO plugin or add a custom JSON-LD block manually.
In WordPress with RankMath: Go to RankMath settings, then Local SEO. Fill in your business details. RankMath outputs LocalBusiness schema automatically and supports subtypes through the schema type selector.
Manual JSON-LD: Paste the JSON-LD block (like the example above, completed with your actual business data) into your site’s <head> section. In WordPress, this can be done through your theme’s header.php, a header script plugin, or a custom HTML block added site-wide.
After implementing, validate immediately using Google’s Rich Results Test at search.google.com/test/rich-results. Paste your URL and run the test. Fix any errors shown before your next Google crawl. Schema that fails validation silently signals unreliable structured data to AI crawlers, which is worse than no schema.
An AnswerEnginee free audit checks your LocalBusiness schema implementation alongside your full entity consistency picture: GBP completeness, NAP consistency across directories, and the sameAs field coverage. For a broader introduction to how schema markup works and which types matter for your business, the guide to what is schema in SEO covers the full schema landscape.
Frequently asked questions
What is LocalBusiness schema markup?
LocalBusiness schema markup is structured data code added to a local business website that tells search engines and AI systems the business’s name, address, phone number, service area, hours, and description in machine-readable format. It lives in the page’s head as a JSON-LD block, invisible to human readers but immediately readable by Google’s crawlers and AI systems like ChatGPT and Perplexity. It is one of the most direct signals available for improving local AI search citation and is essential for any local business wanting to appear in AI-generated local recommendations.
How do I add LocalBusiness schema to my website?
In WordPress, use Yoast SEO’s Site Representation settings or RankMath’s Local SEO settings to generate LocalBusiness schema automatically. For the full schema including areaServed, description, and sameAs fields, add a custom JSON-LD block to your site’s head section through your theme, a header plugin, or a custom HTML widget. For non-WordPress sites, add the JSON-LD block directly to the page head. After implementing, validate using Google’s Rich Results Test at search.google.com/test/rich-results and fix any errors before your next crawl.
Does LocalBusiness schema help with Google AI Overviews?
Yes, directly. Google AI Overviews draw on structured data signals when synthesising local service recommendations. LocalBusiness schema confirms your business name, address, service area, and service type in machine-readable format, which AI systems use to associate your business entity with relevant local queries. The sameAs field is particularly important: it links your website entity to your Google Business Profile, Yelp listing, and social profiles, telling AI systems that all these references point to the same business. This entity consistency is a primary factor in local AI citation probability.
What fields should I include in LocalBusiness schema?
The most important fields for AI citation are: name (your exact business name, matching your GBP exactly), address with PostalAddress (structured street address, city, state, postal code), telephone (matching your GBP and directory listings), areaServed (the geographic areas you serve, not just your immediate address), description (a specific, entity-rich sentence naming your business, services, and service area), openingHours, and sameAs (an array of URLs pointing to your GBP, Yelp, Facebook, LinkedIn, and any Wikipedia or Wikidata entries). The sameAs field is the most commonly missing and most AI-citation-relevant.
What is the difference between LocalBusiness and Organization schema?
LocalBusiness schema is a subtype of Organization schema, specifically designed for businesses with a physical location or defined service area. Organization schema is broader, used for any organisation regardless of whether it has a physical location, covering technology companies, nonprofits, associations, and online-only businesses. The key practical difference: LocalBusiness schema includes location-specific fields (address, areaServed, openingHours) that Organisation schema does not include as standard. For any business that serves customers at a physical location or within a defined geographic area, LocalBusiness (or a more specific subtype like Plumber or DentalClinic) is the correct choice.
