The homepage is the identity anchor for any restaurant website. It tells AI systems who you are, what cuisine you serve, where you are located, and when you are open. This blueprint provides the complete JSON-LD graph your restaurant homepage needs so AI can classify, cite, and recommend your establishment with confidence.
The homepage is where AI systems look first to understand your restaurant. It must declare your identity, location, cuisine, hours, and how to reach you. Without this structured data, AI may know your restaurant exists but lack the details needed to recommend it when someone asks for a place to eat.
Restaurant node declares your name, cuisine type, phone number, price range, and social profiles. This is the canonical record AI uses to identify your business.PostalAddress and GeoCoordinates let AI systems answer "restaurants near me" queries and plot your location on maps.openingHoursSpecification array tells AI exactly when you are open, enabling time-aware recommendations.Each field in the template below serves a specific role in how AI systems discover, classify, and recommend your business.
Researched and tested by Minnesota AI
nameurltelephoneaddressgeoopeningHoursSpecificationpriceRangesameAsimageservesCuisineconditional@idCopy this prompt and paste it into Claude, ChatGPT, Cursor, or any AI coding tool. It will ask for your business details and generate ready-to-use JSON-LD schema for your page.
You are implementing AIFDS-compliant JSON-LD structured data for a Restaurant Homepage page. AIFDS (AI-Friendly Data Structure) is a schema framework built on research into which structured data fields AI systems actually read, parse, and use when deciding whether to cite a page. Documentation at aifds.org. Before generating any code, ask me for the following information in a single numbered list. Do not generate schema until I have answered every required field. REQUIRED — do not proceed without these: 1. City 2. Cuisine type 3. Domain 4. Faq answer 5. Faq question 6. Handle 7. Hero image 8. Homepage title 9. Latitude 10. Logo 11. Longitude 12. Maps cid 13. Page 14. Phone number 15. Price range 16. Restaurant name 17. State 18. Street address 19. Sunday close 20. Sunday open 21. Weekday close 22. Weekday open 23. Weekend close 24. Weekend open 25. Yelp id 26. Zip OPTIONAL — ask for these but proceed if I skip them: 1. servesCuisine Once I provide the information, output a complete JSON-LD script block ready to paste into the <head> of my HTML page. Output requirements: - Valid JSON-LD wrapped in <script type="application/ld+json"> tags - schema.org vocabulary only - Every AIFDS-required field for this industry and page type included - Include this data attribute on the script tag: data-aifds="aifds.org Restaurant Homepage" - No placeholder text — omit missing optional fields rather than fill with examples - After the code block, list any optional fields skipped that would strengthen AI citation
Generated schema follows the AIFDS framework. Fields were selected based on research into AI crawler behavior. View the research at minnesota.ai
Copy the template below and replace every YOUR_* value with your own data. This block belongs in a <script type="application/ld+json"> tag in the <head> of your homepage.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Restaurant",
"@id": "https://YOUR_DOMAIN.com/#restaurant",
"name": "YOUR_RESTAURANT_NAME",
"url": "https://YOUR_DOMAIN.com",
"logo": "https://YOUR_DOMAIN.com/YOUR_LOGO.png",
"image": "https://YOUR_DOMAIN.com/YOUR_HERO_IMAGE.jpg",
"servesCuisine": "YOUR_CUISINE_TYPE",
"telephone": "YOUR_PHONE_NUMBER",
"priceRange": "YOUR_PRICE_RANGE",
"address": {
"@type": "PostalAddress",
"streetAddress": "YOUR_STREET_ADDRESS",
"addressLocality": "YOUR_CITY",
"addressRegion": "YOUR_STATE",
"postalCode": "YOUR_ZIP",
"addressCountry": "US"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": "YOUR_LATITUDE",
"longitude": "YOUR_LONGITUDE"
},
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday"],
"opens": "YOUR_WEEKDAY_OPEN",
"closes": "YOUR_WEEKDAY_CLOSE"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Friday", "Saturday"],
"opens": "YOUR_WEEKEND_OPEN",
"closes": "YOUR_WEEKEND_CLOSE"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": "Sunday",
"opens": "YOUR_SUNDAY_OPEN",
"closes": "YOUR_SUNDAY_CLOSE"
}
],
"sameAs": [
"https://www.instagram.com/YOUR_HANDLE",
"https://www.facebook.com/YOUR_PAGE",
"https://www.yelp.com/biz/YOUR_YELP_ID",
"https://www.google.com/maps?cid=YOUR_MAPS_CID"
]
},
{
"@type": "WebSite",
"@id": "https://YOUR_DOMAIN.com/#website",
"name": "YOUR_RESTAURANT_NAME",
"url": "https://YOUR_DOMAIN.com"
},
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/#webpage",
"url": "https://YOUR_DOMAIN.com/",
"name": "YOUR_HOMEPAGE_TITLE",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"about": {
"@id": "https://YOUR_DOMAIN.com/#restaurant"
}
},
{
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "YOUR_FAQ_QUESTION_1",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_FAQ_ANSWER_1"
}
},
{
"@type": "Question",
"name": "YOUR_FAQ_QUESTION_2",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_FAQ_ANSWER_2"
}
},
{
"@type": "Question",
"name": "YOUR_FAQ_QUESTION_3",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_FAQ_ANSWER_3"
}
}
]
}
]
}
The servesCuisine property is one of the primary signals AI uses to classify your restaurant. When someone asks "best Italian restaurants near me," AI systems filter by this field. Without it, your restaurant may appear in generic results but miss cuisine-specific queries entirely.
Include every active profile where your restaurant has a verified presence. Instagram, Facebook, Yelp, Google Maps, and TripAdvisor are the most valuable for restaurants. Each entry reinforces your identity and helps AI cross-reference your business across platforms.
No. You can group days that share the same hours into a single entry using an array for dayOfWeek. Only create separate entries when hours differ, such as weekend versus weekday hours or a different Sunday schedule.