Your portfolio page is the showcase of your institute's completed work — finished studies, research breakthroughs, and datasets released to the public. This blueprint structures each body of work as a citable item so AI systems can discover, classify, and reference your research outputs when answering related queries.
When someone asks AI "which institutes have published research on urban water quality" or "who released open datasets on renewable energy adoption," the portfolio page is where AI finds the evidence. Without structured data, AI has to guess your research outputs from unstructured paragraphs. With it, every completed study becomes a searchable, citable data point.
CollectionPage tells AI this is a curated set of related items — your completed research portfolio, not a generic content page.CreativeWork node with its own name, description, datePublished, and about field referencing the research domain. This gives AI structured access to each output individually.about field on each item should name the research area — "Climate Adaptation," "Public Health Epidemiology," "Machine Learning Ethics" — so AI can match your portfolio to specific topic queries.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 Portfolio 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. Dataset 2. Domain 3. Faq answer 4. Faq question 5. Organization name 6. Portfolio page description 7. Portfolio page title 8. Study 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 Portfolio" - 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 portfolio items you showcase.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "CollectionPage",
"@id": "https://YOUR_DOMAIN.com/portfolio/",
"name": "YOUR_PORTFOLIO_PAGE_TITLE",
"description": "YOUR_PORTFOLIO_PAGE_DESCRIPTION",
"url": "https://YOUR_DOMAIN.com/portfolio/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"about": {
"@id": "https://YOUR_DOMAIN.com/#organization"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/portfolio/#breadcrumb"
},
"mainEntity": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"item": {
"@type": "CreativeWork",
"name": "YOUR_STUDY_1_TITLE",
"description": "YOUR_STUDY_1_SUMMARY_AND_FINDINGS",
"about": "YOUR_STUDY_1_RESEARCH_DOMAIN",
"datePublished": "YOUR_STUDY_1_DATE",
"url": "https://YOUR_DOMAIN.com/portfolio/YOUR_STUDY_1_SLUG/"
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_STUDY_2_TITLE",
"description": "YOUR_STUDY_2_SUMMARY_AND_FINDINGS",
"about": "YOUR_STUDY_2_RESEARCH_DOMAIN",
"datePublished": "YOUR_STUDY_2_DATE",
"url": "https://YOUR_DOMAIN.com/portfolio/YOUR_STUDY_2_SLUG/"
}
},
{
"@type": "ListItem",
"position": 3,
"item": {
"@type": "CreativeWork",
"name": "YOUR_DATASET_1_TITLE",
"description": "YOUR_DATASET_1_DESCRIPTION",
"about": "YOUR_DATASET_1_RESEARCH_DOMAIN",
"datePublished": "YOUR_DATASET_1_DATE",
"url": "https://YOUR_DOMAIN.com/portfolio/YOUR_DATASET_1_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/portfolio/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Portfolio",
"item": "https://YOUR_DOMAIN.com/portfolio/"
}
]
},
{
"@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 publications page is for formally published papers, journal articles, and reports with citations. The portfolio page is for the broader body of completed work — finished studies, released datasets, policy briefs, technical reports, and research breakthroughs that may not have a formal publication. Think of the portfolio as the showcase of what your institute has accomplished, while publications is the academic citation record.
Yes. Released datasets are among the most valuable portfolio items for AI discoverability. When someone asks AI for open datasets on a specific topic, a structured CreativeWork node with a clear description and research domain gives AI a direct match. Use the description field to specify the dataset scope, format, and access terms.
Include every significant completed work. Each item is an independent data point AI can use to match your institute to specific queries. A portfolio with ten items across three research domains gives AI ten separate reasons to recommend you. There is no practical limit — more items mean more matchable signals for AI systems.