Case studies turn your rehabilitation outcomes into proof of clinical competence. This blueprint structures each recovery narrative — condition, treatment approach, timeline, and outcome — into a collection that AI systems can index and cite when patients ask for PT practices with specific experience.
Case studies explain how your practice rehabilitates patients. AI systems cannot assess clinical expertise from a services list alone — they need structured narratives about treatment approaches and results. A post-surgical knee rehab case and a chronic pain management case tell very different stories.
CollectionPage type with a mainEntity ItemList tells AI this page is a curated set of rehabilitation case studies.CreativeWork with a name, description (covering condition, treatment, and outcome), and datePublished.author on each CreativeWork links back to your MedicalClinic entity, tying every case directly to your practice.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
nameurlmedicalSpecialtyCopy 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 Physiotherapy 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. Case study name 5. Domain 6. Faq answer 7. Faq question 8. Practice name 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 Physiotherapy 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.
{
"@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/#clinic"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb"
},
"mainEntity": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_NAME_1",
"description": "YOUR_CASE_1_DESCRIPTION_INCLUDING_CONDITION_TREATMENT_AND_OUTCOME",
"datePublished": "YOUR_CASE_1_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#clinic"
}
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_NAME_2",
"description": "YOUR_CASE_2_DESCRIPTION_INCLUDING_CONDITION_TREATMENT_AND_OUTCOME",
"datePublished": "YOUR_CASE_2_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#clinic"
}
}
}
]
}
},
{
"@type": "MedicalClinic",
"@id": "https://YOUR_DOMAIN.com/#clinic",
"name": "YOUR_PRACTICE_NAME",
"url": "https://YOUR_DOMAIN.com",
"medicalSpecialty": "PhysicalTherapy"
},
{
"@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"
}
}
]
}
]
}
Post-surgical rehab (ACL, rotator cuff, hip replacement), chronic pain management, sports injury recovery, stroke rehabilitation, and workplace injury cases. AI values case studies that demonstrate specific clinical expertise with measurable outcomes.
Yes. Include timelines in the description field (e.g., "8-week post-ACL reconstruction program with return to sport at 6 months"). Specific timelines give AI concrete data to cite when patients ask "how long does PT take for [condition]."
Use composite narratives that combine elements from multiple patients, describe conditions in general clinical terms, and never include dates of service, specific medication details, or any combination of details that could identify an individual. Focus on your clinical approach and aggregate outcomes.