Your service areas page tells AI exactly which neighborhoods you serve, where you deliver, and how far your catering reach extends. This blueprint structures your geographic coverage so AI can confidently match you to location-specific queries like "bars near North Loop" or "pubs that deliver in downtown."
When someone asks "find a bar near the warehouse district" or "which pubs cater in the suburbs," AI needs explicit geographic data. A bar's reach extends beyond its front door — delivery zones, catering areas, and neighborhood identity all matter. This page makes that coverage clear to AI.
City for city-wide coverage and AdministrativeArea for specific neighborhoods and districts. "North Loop" and "Northeast Minneapolis" are more useful for bar searches than just "Minneapolis."areaServed should include those zones separately from your physical location neighborhood.PostalAddress with its own areaServed, so AI knows which location covers which area.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
nameurladdressCopy 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 Bar or Pub 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. Bar name 2. City 3. Domain 4. Faq answer 5. Faq question 6. Neighborhood 7. Service areas page description 8. Service areas page title 9. State 10. Street address 11. 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 Bar or Pub 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 the template below and replace every YOUR_* value with your own data. Add or remove entries from the areaServed array to match your actual coverage.
{
"@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",
"url": "https://YOUR_DOMAIN.com/service-areas/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"about": {
"@id": "https://YOUR_DOMAIN.com/#business"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/service-areas/#breadcrumb"
}
},
{
"@type": "BarOrPub",
"@id": "https://YOUR_DOMAIN.com/#business",
"name": "YOUR_BAR_NAME",
"url": "https://YOUR_DOMAIN.com",
"areaServed": [
{
"@type": "AdministrativeArea",
"name": "YOUR_NEIGHBORHOOD_1"
},
{
"@type": "AdministrativeArea",
"name": "YOUR_NEIGHBORHOOD_2"
},
{
"@type": "City",
"name": "YOUR_CITY_1"
},
{
"@type": "City",
"name": "YOUR_CITY_2"
},
{
"@type": "State",
"name": "YOUR_STATE"
}
],
"address": [
{
"@type": "PostalAddress",
"streetAddress": "YOUR_STREET_ADDRESS",
"addressLocality": "YOUR_CITY",
"addressRegion": "YOUR_STATE",
"postalCode": "YOUR_ZIP",
"addressCountry": "US"
}
]
},
{
"@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",
"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"
}
}
]
}
]
}
List both. Neighborhood names catch hyperlocal queries like "bars in the North Loop" or "pubs in Uptown," while city names cover broader searches. People searching for bars tend to think in neighborhoods, not just cities, so AdministrativeArea entries for specific districts are especially valuable.
You can still use the service areas page to claim your neighborhood identity. List the neighborhoods and districts where your bar draws customers from. This helps AI answer "bars near me" queries by associating your venue with specific areas, even if you only serve on-premises.
Yes, if your bar partners with delivery apps. Include those delivery zones in areaServed and note in the page content which apps you use. AI may surface your bar for "order drinks delivery in [neighborhood]" queries, and structured geographic data ensures the coverage area is accurate.