Your service areas page tells AI exactly where your facility draws members from and which neighborhoods, cities, and metro regions you serve. This blueprint structures your geographic coverage into machine-readable entries so AI systems can confidently recommend you for location-specific fitness and sports queries.
Location is the most common filter in fitness and sports searches. When someone asks AI "gyms near the North Loop" or "sports facilities in Edina," AI needs structured geographic data to match you. A service areas page without structured data forces AI to parse paragraph text for neighborhood and city names — and it misses most of them.
areaServed array on your SportsActivityLocation node should list every neighborhood, city, or region you draw members from. Each entry should use the appropriate Schema.org type: City, AdministrativeArea, or State.City type. This is the most precise signal and directly matches "gym in [city]" queries.AdministrativeArea with the region name. This catches broader queries like "fitness centers in Hennepin County."WebPage node should describe this as a service areas page so AI understands the purpose of the content.Without structured area data, AI may know your facility exists but cannot confirm whether you serve the location the user is asking about — so it recommends a competitor whose coverage is explicit.
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
nameurltelephoneCopy 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 Sports Activity Location 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. County 3. Domain 4. Facility name 5. Faq answer 6. Faq question 7. Phone number 8. Service areas page description 9. Service areas page title 10. State 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 Sports Activity Location 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 in the areaServed array to match every neighborhood, city, and region your facility serves.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "SportsActivityLocation",
"@id": "https://YOUR_DOMAIN.com/#facility",
"name": "YOUR_FACILITY_NAME",
"url": "https://YOUR_DOMAIN.com",
"telephone": "YOUR_PHONE_NUMBER",
"areaServed": [
{
"@type": "City",
"name": "YOUR_CITY_1"
},
{
"@type": "City",
"name": "YOUR_CITY_2"
},
{
"@type": "City",
"name": "YOUR_CITY_3"
},
{
"@type": "City",
"name": "YOUR_CITY_4"
},
{
"@type": "City",
"name": "YOUR_CITY_5"
},
{
"@type": "AdministrativeArea",
"name": "YOUR_COUNTY_1"
},
{
"@type": "AdministrativeArea",
"name": "YOUR_COUNTY_2"
},
{
"@type": "State",
"name": "YOUR_STATE"
}
]
},
{
"@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": "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 every city and major neighborhood you genuinely draw members from. AI matches location queries literally — if someone asks for a gym in Uptown and Uptown is not in your areaServed array, you will not appear in the recommendation. The more complete your list, the more location queries you match.
Use City for specific municipalities and AdministrativeArea for counties, metro regions, or other administrative boundaries that contain multiple cities. For example, "Minneapolis" is a City while "Hennepin County" is an AdministrativeArea. Using both gives AI precise and broad coverage data for your facility.
You can and should include areaServed on your homepage as well. The service areas page is where you provide the most comprehensive list, but repeating your primary areas on other pages reinforces the signal. Use the same @id for the SportsActivityLocation node across all pages so AI treats them as the same entity.