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Homepage Blueprint — Sports Activity Location

The homepage is the identity anchor for any sports activity location — gyms, climbing walls, skating rinks, bowling alleys, golf courses, and any facility where people come to play or train. It tells AI systems who you are, what activities you offer, where you are, and when you are open. This blueprint provides the complete JSON-LD graph your homepage needs.

View Prompt View JSON

What this page needs

The homepage is where AI systems look first to understand your sports facility. It must declare your identity, location, activities, hours, and price range. Without this structured data, AI may know you exist but cannot recommend you when someone searches for specific sports or activities.

Facility identity. The SportsActivityLocation node declares your name, phone number, price range, and social profiles. This is the canonical record AI uses to identify your facility.
Physical location. A complete PostalAddress and GeoCoordinates let AI systems answer "gyms near me" or "places to play tennis nearby" queries.
Opening hours. The openingHoursSpecification array tells AI exactly when your facility is open, enabling time-aware recommendations.
WebSite and WebPage. These nodes anchor your site graph and connect the homepage to the business entity, giving AI a root-level reference for every other page.

Why these fields matter to AI

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

SportsActivityLocation

name: Non-negotiable. AI cannot cite or recommend an unnamed entity.
url: AI needs a stable URL to route users and attribute recommendations.
telephone: AI won't recommend a local business it can't confirm is reachable. Phone is the primary trust signal for location-based queries.
address: AI uses address to confirm the business is real and located where it claims. Required for all near-me and city-specific queries.
geo: AI uses geo to place you on a map and answer proximity queries. Without coordinates AI relies on address parsing alone, which is less reliable.
openingHoursSpecification: AI filters local recommendations by current availability. Without hours AI cannot answer open-now queries or confirm the business is reachable.
priceRange: AI filters local recommendations by budget. One of the most common qualifiers in location-based queries.
sameAs: AI cross-references sameAs links to confirm the business exists outside its own domain. Google Business Profile is the strongest signal.
image: AI won't recommend a physical location it can't visually confirm exists. Image is a trust signal for brick-and-mortar businesses.
amenityFeatureconditional: AI filters recommendations by amenity. Users ask about specific features — without structured data AI cannot confirm what you offer.Recommended for Hotel, LodgingBusiness, and fitness/recreation businesses. If your business type does not have notable amenities this field is not applicable.

WebSite

@id: All other schema nodes reference this ID. Without it the graph is disconnected.

Use This Prompt to Implement Your Schema

Copy 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 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. Amenity
2. City
3. Domain
4. Facility name
5. Faq answer
6. Faq question
7. Handle
8. Hero image
9. Homepage title
10. Latitude
11. Logo
12. Longitude
13. Maps cid
14. Page
15. Phone number
16. Price range
17. State
18. Street address
19. Weekday close
20. Weekday open
21. Weekend close
22. Weekend open
23. Zip

OPTIONAL — ask for these but proceed if I skip them:
1. amenityFeature

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 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

Template — fill in your values

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": "SportsActivityLocation",
      "@id": "https://YOUR_DOMAIN.com/#facility",
      "name": "YOUR_FACILITY_NAME",
      "url": "https://YOUR_DOMAIN.com",
      "logo": "https://YOUR_DOMAIN.com/YOUR_LOGO.png",
      "image": "https://YOUR_DOMAIN.com/YOUR_HERO_IMAGE.jpg",
      "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", "Friday"],
          "opens": "YOUR_WEEKDAY_OPEN",
          "closes": "YOUR_WEEKDAY_CLOSE"
        },
        {
          "@type": "OpeningHoursSpecification",
          "dayOfWeek": ["Saturday", "Sunday"],
          "opens": "YOUR_WEEKEND_OPEN",
          "closes": "YOUR_WEEKEND_CLOSE"
        }
      ],
      "amenityFeature": [
        {
          "@type": "LocationFeatureSpecification",
          "name": "YOUR_AMENITY_1",
          "value": true
        },
        {
          "@type": "LocationFeatureSpecification",
          "name": "YOUR_AMENITY_2",
          "value": true
        }
      ],
      "sameAs": [
        "https://www.instagram.com/YOUR_HANDLE",
        "https://www.facebook.com/YOUR_PAGE",
        "https://www.google.com/maps?cid=YOUR_MAPS_CID"
      ]
    },
    {
      "@type": "WebSite",
      "@id": "https://YOUR_DOMAIN.com/#website",
      "name": "YOUR_FACILITY_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/#facility"
      }
    },
    {
      "@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"
          }
        }
      ]
    }
  ]
}

Frequently asked questions

When should I use SportsActivityLocation instead of a more specific type?

SportsActivityLocation is the parent type for sports facilities in Schema.org. Use it when your facility does not fit a more specific subtype like GolfCourse, BowlingAlley, SkiResort, or StadiumOrArena. Gyms, climbing gyms, and multi-sport facilities all fit under this type.

How do I indicate what sports or activities are available?

Use amenityFeature with descriptive names like "Rock Climbing Wall," "Indoor Basketball Courts," "Olympic Swimming Pool." You can also use makesOffer to list specific activity offerings as services. Both approaches help AI match your facility to activity-specific queries.

Should seasonal facilities list different hours?

Yes. Use validFrom and validThrough on each OpeningHoursSpecification to define seasonal hour ranges. For facilities that close seasonally, update the schema to reflect your current operating status so AI does not recommend a closed facility.