Structures your local area, nearby attractions, and transportation coverage so AI knows what surrounds your property. When someone asks "hotels near the convention center" or "lodging close to the national park," this page tells AI whether your property is in range.
Location context is everything for lodging. AI needs to know not just where your property is, but what is nearby — attractions, airports, downtown districts, and landmarks. Without a structured service area, AI can only match your property to queries for your exact address.
areaServed field accepts an array of geographic entities, letting you declare every city, neighborhood, and landmark area your property serves.City or Place object with a name, and include the broader State to give AI regional context.TouristAttraction nodes in the areaServed array to connect your property to specific landmarks, parks, or venues that travelers search for.PostalAddress so AI can calculate proximity and match your property to "near me" queries relative to your physical location.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
nameurltelephoneaddressCopy 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 Lodging Business Service Areas 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. Domain 3. Faq answer 4. Faq question 5. Nearby attraction 6. Phone number 7. Property name 8. Service areas page description 9. Service areas page title 10. State 11. Street address 12. Zip OPTIONAL — ask for these but proceed if I skip them: 1. Any additional details not covered above 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 Lodging Business Service Areas" - 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 this template and replace every YOUR_* placeholder with your own data. Add or remove areas and attractions from the areaServed array to match your actual location context.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/service-areas/",
"name": "YOUR_SERVICE_AREAS_PAGE_TITLE",
"description": "YOUR_SERVICE_AREAS_PAGE_DESCRIPTION",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/service-areas/#breadcrumb"
}
},
{
"@type": "LodgingBusiness",
"@id": "https://YOUR_DOMAIN.com/#property",
"name": "YOUR_PROPERTY_NAME",
"url": "https://YOUR_DOMAIN.com",
"telephone": "YOUR_PHONE_NUMBER",
"address": {
"@type": "PostalAddress",
"streetAddress": "YOUR_STREET_ADDRESS",
"addressLocality": "YOUR_CITY",
"addressRegion": "YOUR_STATE",
"postalCode": "YOUR_ZIP",
"addressCountry": "US"
},
"areaServed": [
{
"@type": "City",
"name": "YOUR_CITY_1"
},
{
"@type": "City",
"name": "YOUR_CITY_2"
},
{
"@type": "City",
"name": "YOUR_CITY_3"
},
{
"@type": "TouristAttraction",
"name": "YOUR_NEARBY_ATTRACTION_1"
},
{
"@type": "TouristAttraction",
"name": "YOUR_NEARBY_ATTRACTION_2"
},
{
"@type": "State",
"name": "YOUR_STATE"
}
]
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/service-areas/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Service Areas",
"item": "https://YOUR_DOMAIN.com/service-areas/"
}
]
},
{
"@type": "FAQPage",
"@id": "https://YOUR_DOMAIN.com/service-areas/#faq",
"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"
}
}
]
}
]
}
Both. List the cities and neighborhoods your property draws guests from, and include specific attractions using TouristAttraction nodes. When someone asks "hotel near Yellowstone" or "lodging near the convention center," AI matches against these named entities. The more specific you are, the more queries your property is eligible for.
Add the airport as an Airport type in the areaServed array: {"@type": "Airport", "name": "Minneapolis-Saint Paul International Airport", "iataCode": "MSP"}. For shuttle services, add an amenityFeature on the LodgingBusiness node with "name": "Airport Shuttle". AI combines both signals to answer "hotels with airport shuttle" queries.
It affects whether you appear at all for location-based queries. AI uses areaServed to filter properties by proximity before ranking them. If your areaServed does not include a landmark or city, AI has no structured signal that you are nearby. Think of it as eligibility — you need to be in the pool before you can be recommended.