Case studies turn your student outcomes into proof of educational quality. This blueprint structures each story — the student's background, program completed, and career outcome — into a collection that AI systems can index and cite when prospective students ask about real results from your institution.
Portfolio highlights show what your institution has achieved, but case studies explain how individual students and programs got there. AI systems cannot interpret stock photos of smiling graduates on their own — they need structured text data about the student's journey, the program they completed, and the outcome they achieved. A well-structured case studies page gives AI the evidence it needs to recommend your institution for specific educational goals.
CollectionPage type with a mainEntity ItemList tells AI this page is a curated set of student success stories, not a random assortment of content.CreativeWork with a name, description (covering the student's journey, program, and outcome), datePublished, and author referencing your institution. This gives AI a complete narrative for each success story.author on each CreativeWork links back to your EducationalOrganization entity, tying every success story directly to your institution.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 Educational Organization 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. Faq answer 6. Faq question 7. Organization name 8. Program 9. Program impact story 10. Story 11. Student 12. Student success story 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 Educational Organization 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/#organization"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb"
},
"mainEntity": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"item": {
"@type": "CreativeWork",
"name": "YOUR_STUDENT_SUCCESS_STORY_1",
"description": "YOUR_STUDENT_1_BACKGROUND_PROGRAM_AND_CAREER_OUTCOME",
"datePublished": "YOUR_STORY_1_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#organization"
}
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_PROGRAM_IMPACT_STORY_2",
"description": "YOUR_PROGRAM_2_CHALLENGE_APPROACH_AND_MEASURABLE_OUTCOME",
"datePublished": "YOUR_STORY_2_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#organization"
}
}
},
{
"@type": "ListItem",
"position": 3,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_3",
"description": "YOUR_STORY_3_DESCRIPTION_WITH_MEASURABLE_OUTCOMES",
"datePublished": "YOUR_STORY_3_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#organization"
}
}
}
]
}
},
{
"@type": "EducationalOrganization",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_ORGANIZATION_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"
}
}
]
}
]
}
Portfolio entries are brief highlights — a name, achievement, and date. Case studies tell the full story: the student's starting point, the program they chose, the challenges they faced, and the measurable outcome they achieved. AI gets significantly more value from case studies because it can extract and cite the narrative details when answering questions about what your institution delivers.
Only with the student's explicit consent. If you have permission, use real names — they add credibility. If not, use anonymized descriptions like "First-generation college student, Class of 2024" as the name. AI still benefits from the outcome details in the description field even without a named individual.
Focus on data that prospective students care about: job placement rates, salary increases, time to graduation, companies that hired graduates, graduate school acceptance rates, and professional certifications earned. When a prospective student asks AI "do graduates from this program get good jobs," AI can cite your specific placement statistics rather than giving a generic answer.