How to set up local business schema for AI discovery
Implement LocalBusiness JSON-LD so AI assistants can recommend your business for location-based queries.
- 1
Choose the right LocalBusiness subtype
Schema.org has specific subtypes like Restaurant, MedicalBusiness, LegalService, RealEstateAgent, and dozens more. Use the most specific type that matches your business - AI models use this to categorise you correctly.
- 2
Build your LocalBusiness JSON-LD
Include @type, name, description, url, telephone, address (as a PostalAddress entity with streetAddress, addressLocality, addressRegion, postalCode, and addressCountry), and geo (latitude and longitude).
- 3
Add opening hours and service areas
Include openingHoursSpecification with day-of-week and open/close times. If you serve areas beyond your physical location, add areaServed with GeoCircle or specific Place entities.
- 4
Include business identifiers
Add priceRange, paymentAccepted, currenciesAccepted, and any relevant identifiers like taxID. Include sameAs links to your Google Business Profile, Yelp page, and social media profiles.
- 5
Sync with Google Business Profile
Ensure every fact in your schema matches your Google Business Profile exactly - name, address, phone, hours, and categories. Discrepancies confuse AI models and reduce your authority score.
- 6
Test with location-based AI queries
Ask AI models "Best [your business type] in [your city]" and "Where can I find [your service] near [your location]?" to see if your business appears. Re-scan with RankSignal to track improvements.
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