Free Local Business Schema Generator for AI Search

LocalBusiness schema is the family of Schema.org types that describe a business tied to a physical location — restaurants, stores, professional services, healthcare practices, home-service providers, hotels. It tells search engines and AI systems the canonical facts: who you are, where you are, when you are open, how to contact you, and how you connect to your presence on other platforms. Without it, local search and AI local answers rely on scraping your HTML and reconciling it with third-party directories, which produces worse results for everyone.

The schema.org hierarchy is deep. At the top is LocalBusiness. Under it sit dozens of industry-specific subtypes: Restaurant, Bakery, CafeOrCoffeeShop, Store, ClothingStore, AutomotiveBusiness, Dentist, MedicalClinic, HairSalon, Plumber, Electrician, LodgingBusiness, Hotel, and many more. Each subtype inherits everything from LocalBusiness and adds specificity-relevant fields. A realistic Restaurant markup looks like this:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "Acme Pizza",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Main St",
    "addressLocality": "Seattle",
    "addressRegion": "WA",
    "postalCode": "98101",
    "addressCountry": "US"
  },
  "telephone": "+1-206-555-0123",
  "url": "https://acmepizza.com",
  "openingHoursSpecification": [
    { "@type": "OpeningHoursSpecification",
      "dayOfWeek": "https://schema.org/Monday",
      "opens": "11:00", "closes": "22:00" }
  ],
  "priceRange": "$$"
}
</script>

That markup gives AI engines everything they need to answer questions like "what are Acme Pizza's hours" or "is there a pizza place open at 9pm near me" — without guessing and without cross-referencing unreliable third parties.

Local queries have the highest AI-vs-blue-links substitution rate of any query class. When someone asks "where can I get dim sum near Pike Place," ChatGPT, Perplexity, and Google AI Overviews all respond with a synthesized list of businesses — not a map with pins. The businesses that appear in that synthesized list are almost never the ones with the most links; they are the ones with the cleanest, most consistent, machine-readable identity data. LocalBusiness schema is the primary vehicle for that identity data on your own site.

Here is what AI engines specifically extract and weight:

• NAP consistency triangulation: The business name, address, and phone from your schema are cross-referenced against every directory the AI engine has indexed. Perfect consistency across Yelp, Google Business, Apple Maps, and your schema creates a high-confidence entity; a single mismatch drops confidence to "probably the same but not certain" — which often means you don't appear in responses at all.
• Subtype-filtered intent matching: Queries like "find a 24-hour pharmacy" filter candidates to businesses with the Pharmacy subtype. A drugstore marked up as generic LocalBusiness is ineligible for that query even if it is literally a pharmacy.
• Opening-hours real-time reasoning: When a user asks "is X open now," the AI consults your OpeningHoursSpecification. Accurate hours are a citation signal; missing or stale hours are an anti-signal.
• Geo-anchored proximity ranking: Latitude/longitude lets the AI engine's spatial reasoner calculate distance from the user without round-tripping to a geocoder. Businesses with geo are faster to surface and less prone to being misplaced.
• Entity graph connections via sameAs: Each sameAs link is a vote that connects the schema-declared business to an external, independently-maintained identity. Five verified sameAs links beat fifty backlinks for local entity strength.
• Price-tier filtering: priceRange lets AI engines answer "cheap" / "moderate" / "upscale" queries correctly. Businesses without it are either left out of those queries or guessed at — usually wrongly.

The compounding effect matters here: an AI engine that successfully serves your business in one query is more likely to include you in adjacent ones. A single well-marked-up location page with complete schema and consistent NAP outperforms a whole site with weaker signals on the same local queries.