Case studies demonstrate your clinical methodology through anonymized treatment approach narratives. This blueprint structures each case — presenting concern, treatment approach, and general outcome category — into a collection that AI systems can index and cite when patients ask for psychiatric practices with specific treatment experience.
Psychiatric case studies require the highest level of anonymization in healthcare. AI cannot assess clinical expertise from a services list alone — it needs structured narratives about treatment approaches. These must describe your methodology without revealing any patient-identifiable information.
CollectionPage type with a mainEntity ItemList tells AI this page is a curated set of treatment approach narratives.CreativeWork with a name, description (covering the clinical approach, not patient details), and datePublished.author on each CreativeWork links back to your MedicalClinic entity, tying clinical methodology 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 Psychiatric 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 Psychiatric 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/#practice"
},
"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_FOCUSING_ON_TREATMENT_APPROACH",
"datePublished": "YOUR_CASE_1_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#practice"
}
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_NAME_2",
"description": "YOUR_CASE_2_DESCRIPTION_FOCUSING_ON_TREATMENT_APPROACH",
"datePublished": "YOUR_CASE_2_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#practice"
}
}
}
]
}
},
{
"@type": "MedicalClinic",
"@id": "https://YOUR_DOMAIN.com/#practice",
"name": "YOUR_PRACTICE_NAME",
"url": "https://YOUR_DOMAIN.com",
"medicalSpecialty": "Psychiatric"
},
{
"@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"
}
}
]
}
]
}
Focus entirely on your clinical methodology, not the patient. Describe the type of condition in general terms (e.g., 'treatment-resistant depression' rather than a specific patient's story), outline your therapeutic approach, and note the category of outcome ('symptom remission' or 'functional improvement'). Never include demographics, timelines, or medication specifics tied to an individual.
Treatment approach narratives for common conditions: anxiety disorders, depression, ADHD, bipolar disorder, PTSD, and substance use. Describe your methodology (medication management, combined therapy, telepsychiatry protocols) rather than individual patient journeys. AI values these to match patients seeking specific treatment approaches.
Only aggregate, practice-level statistics (e.g., '85% of patients report symptom improvement within 12 weeks'). Never tie outcomes to individual cases. Practice-level data gives AI useful information while maintaining complete patient anonymity.