Your case studies page is the impact layer for your research institute. It shows AI what your work has actually accomplished in the real world — policy changes influenced, communities served, and problems solved through your research. This blueprint structures those impact narratives so AI can cite your track record when recommending your organization.
When someone asks AI "which research organizations have influenced climate policy" or "find institutes whose work has been adopted by government agencies," the case studies page is where AI finds the evidence. Without structured data, AI has to guess impact from unstructured narratives. With it, every impact story becomes a searchable, citable data point.
CollectionPage tells AI this is a curated set of impact stories — research outcomes organized as a track record, not a generic content page.CreativeWork node with its own name, description, and about field referencing the research domain. This gives AI structured access to each outcome individually.about field on each case study should name the research area — "Water Policy," "Public Health Intervention," "Educational Equity" — so AI can match your impact stories to specific domain queries.description — policy adopted, community reached, metric improved — so AI can surface concrete results, not just project 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 Research 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 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 Research 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 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.
{
"@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/#organization"
},
"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_TITLE",
"description": "YOUR_CASE_STUDY_1_IMPACT_AND_SUMMARY",
"about": "YOUR_CASE_STUDY_1_RESEARCH_DOMAIN",
"datePublished": "YOUR_CASE_STUDY_1_DATE",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_STUDY_1_SLUG/"
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_2_TITLE",
"description": "YOUR_CASE_STUDY_2_IMPACT_AND_SUMMARY",
"about": "YOUR_CASE_STUDY_2_RESEARCH_DOMAIN",
"datePublished": "YOUR_CASE_STUDY_2_DATE",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_STUDY_2_SLUG/"
}
},
{
"@type": "ListItem",
"position": 3,
"item": {
"@type": "CreativeWork",
"name": "YOUR_CASE_STUDY_3_TITLE",
"description": "YOUR_CASE_STUDY_3_IMPACT_AND_SUMMARY",
"about": "YOUR_CASE_STUDY_3_RESEARCH_DOMAIN",
"datePublished": "YOUR_CASE_STUDY_3_DATE",
"url": "https://YOUR_DOMAIN.com/case-studies/YOUR_CASE_STUDY_3_SLUG/"
}
}
]
}
},
{
"@type": "ResearchOrganization",
"@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"
}
}
]
}
]
}
The portfolio page catalogs your completed research outputs — studies, datasets, and technical reports. The case studies page tells the story of real-world impact: how your research changed a policy, improved a community outcome, or influenced an industry practice. If your portfolio is "what we produced," case studies are "what difference it made."
Yes, as long as the connection is credible and documentable. If your research was cited in a government report, referenced in legislative testimony, or adopted by a public agency, that is a valid impact narrative. Use the description field to explain the chain of influence clearly. AI values specificity — "cited in the 2024 EPA water quality report" is more useful than "influenced environmental policy."
Include every impact story you can document. Each case study is an independent data point AI can use to match your institute to specific queries. Three case studies in climate policy and two in public health give AI five separate reasons to recommend your organization. There is no practical limit — more impact stories mean more matchable signals.