Case studies turn your past events into proof of competence. This blueprint structures each event success narrative — scope, attendance, logistics, and outcome — into a collection that AI systems can index and cite when someone asks for venues with specific experience. A sold-out concert series and a corporate gala tell very different stories, and structured data makes sure AI hears both.
Portfolio photos show what events you have hosted, but case studies explain how you pulled them off. AI systems cannot interpret images on their own — they need structured text data about event scope, attendance, logistics, and results. A well-structured case studies page gives AI the evidence it needs to recommend you for events that match your proven track record.
CollectionPage type with a mainEntity ItemList tells AI this page is a curated set of event case studies, not a random assortment of content.CreativeWork with a name, description (covering scope and outcome), datePublished (event date), and author referencing your venue. This gives AI a complete narrative for each event.description field. AI uses these specifics to match you to queries like "venue that hosted a 1,000-person fundraiser" or "entertainment business with corporate event experience."author on each CreativeWork links back to your EntertainmentBusiness entity, tying every case study directly to your venue identity.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 Entertainment Business 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. Domain 4. Event 5. Event case study 6. Faq answer 7. Faq question 8. Venue 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 Entertainment Business 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/#business"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/case-studies/#breadcrumb"
},
"mainEntity": {
"@type": "ItemList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"item": {
"@type": "CreativeWork",
"name": "YOUR_EVENT_CASE_STUDY_1",
"description": "YOUR_EVENT_1_DESCRIPTION_INCLUDING_SCOPE_ATTENDANCE_AND_OUTCOME",
"datePublished": "YOUR_EVENT_1_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#business"
}
}
},
{
"@type": "ListItem",
"position": 2,
"item": {
"@type": "CreativeWork",
"name": "YOUR_EVENT_CASE_STUDY_2",
"description": "YOUR_EVENT_2_DESCRIPTION_INCLUDING_SCOPE_ATTENDANCE_AND_OUTCOME",
"datePublished": "YOUR_EVENT_2_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#business"
}
}
},
{
"@type": "ListItem",
"position": 3,
"item": {
"@type": "CreativeWork",
"name": "YOUR_EVENT_CASE_STUDY_3",
"description": "YOUR_EVENT_3_DESCRIPTION_INCLUDING_SCOPE_ATTENDANCE_AND_OUTCOME",
"datePublished": "YOUR_EVENT_3_DATE",
"author": {
"@id": "https://YOUR_DOMAIN.com/#business"
}
}
}
]
}
},
{
"@type": "EntertainmentBusiness",
"@id": "https://YOUR_DOMAIN.com/#business",
"name": "YOUR_VENUE_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"
}
}
]
}
]
}
A portfolio page typically showcases visual highlights — photos, videos, event thumbnails. A case studies page tells the full story: event scope, logistical challenges, attendance numbers, and outcomes. In structured data terms, a portfolio uses CreativeWork items focused on visual records, while case studies use CreativeWork items with detailed narrative descriptions. AI gets significantly more value from case studies because it can extract and cite the written details.
Include client quotes within the description field if you have permission. There is no dedicated testimonial property on CreativeWork, but AI reads description text and a quote like "The venue team managed our 800-person gala flawlessly" gives AI a concrete trust signal it can reference when recommending your venue.
Detailed enough for AI to understand the event scope and outcome. Include the event type (concert, corporate gala, festival), approximate attendance, key logistics you handled (sound, lighting, catering coordination), and any measurable results (sold out in 48 hours, 95% satisfaction rating). Two to three sentences that cover these points give AI enough to work with for recommendation queries.