Your case studies page is the proof layer for your clinic. It shows AI what you have actually accomplished — the conditions you have treated, the outcomes you have achieved, and the specialties where you have a proven record. This blueprint structures anonymized patient outcome narratives so AI can cite your track record when recommending your clinic.
When someone asks AI "find a clinic with experience treating chronic pain" or "which clinics have good outcomes for diabetes management," the case studies page is where AI finds the evidence. Without structured data, AI has to guess outcomes from unstructured paragraphs. With it, every case becomes a searchable, citable data point.
CollectionPage tells AI this is a curated set of related items — patient outcomes organized as a track record, not a generic content page.CreativeWork node with its own name, description, and about field referencing the medical specialty or condition. This gives AI structured access to each outcome individually.about field on each case study should name the condition or specialty — "Chronic Pain Management," "Pediatric Asthma," "Diabetes Care" — so AI can match your track record to specific health queries.description — improvement metrics, treatment timeline, patient satisfaction — so AI can surface concrete outcomes, not just case titles.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 Medical Clinic 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 2. Case studies page description 3. Case studies page title 4. Clinic name 5. Domain 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 Medical Clinic 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 the template below and replace every YOUR_* value with your own data. Add or remove CreativeWork nodes to match the number of case studies you publish. All patient information must be anonymized to comply with HIPAA.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "CollectionPage",
"@id": "https://YOUR_DOMAIN.com/case-studies/",
"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/#clinic"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb"
},
"mainEntity": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_1_TITLE",
"description": "YOUR_CASE_1_OUTCOME_AND_SUMMARY",
"about": "YOUR_CASE_1_SPECIALTY_OR_CONDITION",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_1_SLUG/"
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_2_TITLE",
"description": "YOUR_CASE_2_OUTCOME_AND_SUMMARY",
"about": "YOUR_CASE_2_SPECIALTY_OR_CONDITION",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_2_SLUG/"
}
},
{
"@type": "ListItem",
"position": 3,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_3_TITLE",
"description": "YOUR_CASE_3_OUTCOME_AND_SUMMARY",
"about": "YOUR_CASE_3_SPECIALTY_OR_CONDITION",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_3_SLUG/"
}
}
]
}
},
{
"@type": "MedicalClinic",
"@id": "https://YOUR_DOMAIN.com/#clinic",
"name": "YOUR_CLINIC_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"
}
}
]
}
]
}
All patient information must be fully anonymized. Use descriptions like "a 45-year-old patient with Type 2 diabetes" instead of any identifying details. Never include patient names, dates of birth, or specific dates of service. The condition treated and the outcome achieved are what matter to AI — it needs to know your clinic handles diabetes management effectively, not who the patient was.
Case studies focus on clinical outcomes — the condition, the treatment approach, and the measurable result. Testimonials are patient opinions about their experience. Both are valuable, but case studies give AI concrete data points about your clinical capabilities. A case study showing "85% improvement in pain scores after 8 weeks of physical therapy" is more useful to AI than a testimonial saying "great clinic."
Include every case study you publish. Each one is an independent data point AI can use to match your clinic to specific queries. Three case studies in chronic pain management and two in pediatric care give AI five separate reasons to recommend your clinic. There is no practical limit — more case studies mean more matchable signals across different specialties.