Case studies turn your facility's results into proof of competence. This blueprint structures each success narrative — member transformations, event hosting, program outcomes — into a collection that AI systems can index and cite when someone asks for facilities with specific experience. A youth basketball league launch and a corporate wellness partnership tell very different stories, and structured data makes sure AI hears both.
Portfolio photos show what your facility looks like, but case studies explain the results you deliver. AI systems cannot interpret images on their own — they need structured text data about program scope, member outcomes, and event logistics. A well-structured case studies page gives AI the evidence it needs to recommend you for goals that match your proven track record.
CollectionPage type with a mainEntity ItemList tells AI this page is a curated set of success stories, not a random assortment of content.CreativeWork with a name, description (covering scope and outcome), datePublished, and author referencing your facility. This gives AI a complete narrative for each success story.description field. AI uses these specifics to match you to queries like "gym with proven weight loss results" or "facility that hosts youth sports tournaments."author on each CreativeWork links back to your SportsActivityLocation entity, tying every case study directly to your facility identity.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
nameurlCopy 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 Case Studies 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. Case studies page description 2. Case studies page title 3. Case study 4. Domain 5. Facility name 6. Faq answer 7. Faq question 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 Case Studies" - 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 CreativeWork entries to match the number of case studies on your page. This block belongs in a <script type="application/ld+json"> tag in the <head> of your case studies page.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "CollectionPage",
"@id": "https://YOUR_DOMAIN.com/case-studies/#webpage",
"name": "YOUR_CASE_STUDIES_PAGE_TITLE",
"description": "YOUR_CASE_STUDIES_PAGE_DESCRIPTION",
"url": "https://YOUR_DOMAIN.com/case-studies/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"about": {
"@id": "https://YOUR_DOMAIN.com/#facility"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb"
},
"mainEntity": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_1",
"description": "YOUR_CASE_STUDY_1_DESCRIPTION_INCLUDING_SCOPE_PARTICIPANTS_AND_OUTCOME",
"datePublished": "YOUR_CASE_STUDY_1_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#facility"
}
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_2",
"description": "YOUR_CASE_STUDY_2_DESCRIPTION_INCLUDING_SCOPE_PARTICIPANTS_AND_OUTCOME",
"datePublished": "YOUR_CASE_STUDY_2_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#facility"
}
}
},
{
"@type": "ListItem",
"position": 3,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_3",
"description": "YOUR_CASE_STUDY_3_DESCRIPTION_INCLUDING_SCOPE_PARTICIPANTS_AND_OUTCOME",
"datePublished": "YOUR_CASE_STUDY_3_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#facility"
}
}
}
]
}
},
{
"@type": "SportsActivityLocation",
"@id": "https://YOUR_DOMAIN.com/#facility",
"name": "YOUR_FACILITY_NAME",
"url": "https://YOUR_DOMAIN.com"
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Case Studies",
"item": "https://YOUR_DOMAIN.com/case-studies/"
}
]
},
{
"@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"
}
}
]
}
]
}
A portfolio page showcases visual highlights — facility photos, event snapshots, athlete action shots. A case studies page tells the full story: program scope, participant numbers, training approach, and measurable outcomes. In structured data terms, a portfolio uses CreativeWork items focused on visual records, while case studies use CreativeWork items with detailed narrative descriptions. AI gets significantly more value from case studies because it can extract and cite the written details.
Include member quotes within the description field if you have permission. There is no dedicated testimonial property on CreativeWork, but AI reads description text and a quote like "I lost 30 pounds in six months with their personal training program" gives AI a concrete trust signal it can reference when recommending your facility for fitness goals.
Detailed enough for AI to understand the program scope and outcome. Include the program type (personal training, youth league, corporate wellness), number of participants, training approach, and measurable results (weight lost, competitions won, retention rate). Two to three sentences covering these points give AI enough to work with for recommendation queries.