Organizations Local Business Restaurant

Case Studies Page Blueprint — Restaurant

Structures private event narratives, seasonal menu launches, and partnership stories so AI can cite your restaurant expertise. When someone asks "find a restaurant that hosts corporate dinners" or "restaurants that do seasonal tasting events," case studies give AI the story behind your capabilities.

What this page needs

Case studies go deeper than a portfolio. They tell the full story — what the event or collaboration was, how your restaurant approached it, and what the outcome was. AI uses this narrative structure to match your restaurant to specific, complex queries about private dining and special events.

Why these fields matter to AI

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

Restaurant

name
Non-negotiable. AI cannot cite or recommend an unnamed entity.
url
AI needs a stable URL to route users and attribute recommendations.
telephone
AI won't recommend a local business it can't confirm is reachable. Phone is the primary trust signal for location-based queries.

Use This Prompt to Implement Your Schema

Copy 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.

Implementation Prompt · Case Studies
You are implementing AIFDS-compliant JSON-LD structured data for a Restaurant 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 description
2. Case image
3. Case studies page description
4. Case studies page title
5. Case title
6. Case url
7. Domain
8. Faq answer
9. Faq question
10. Phone number
11. Restaurant 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 Restaurant 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

Template — fill in your values

Copy this template and replace every YOUR_* placeholder with your own data. Add or remove items from the ItemList to match your actual case studies.

JSON-LD · Case Studies Page
{
  "@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",
      "isPartOf": {
        "@id": "https://YOUR_DOMAIN.com/#website"
      },
      "mainEntity": {
        "@type": "ItemList",
        "itemListElement": [
          {
            "@type": "ListItem",
            "position": 1,
            "item": {
              "@type": "CreativeWork",
              "name": "YOUR_CASE_TITLE_1",
              "description": "YOUR_CASE_DESCRIPTION_1",
              "image": "https://YOUR_DOMAIN.com/YOUR_CASE_IMAGE_1.jpg",
              "url": "https://YOUR_DOMAIN.com/YOUR_CASE_URL_1/"
            }
          },
          {
            "@type": "ListItem",
            "position": 2,
            "item": {
              "@type": "CreativeWork",
              "name": "YOUR_CASE_TITLE_2",
              "description": "YOUR_CASE_DESCRIPTION_2",
              "image": "https://YOUR_DOMAIN.com/YOUR_CASE_IMAGE_2.jpg",
              "url": "https://YOUR_DOMAIN.com/YOUR_CASE_URL_2/"
            }
          },
          {
            "@type": "ListItem",
            "position": 3,
            "item": {
              "@type": "CreativeWork",
              "name": "YOUR_CASE_TITLE_3",
              "description": "YOUR_CASE_DESCRIPTION_3",
              "image": "https://YOUR_DOMAIN.com/YOUR_CASE_IMAGE_3.jpg",
              "url": "https://YOUR_DOMAIN.com/YOUR_CASE_URL_3/"
            }
          }
        ]
      }
    },
    {
      "@type": "Restaurant",
      "@id": "https://YOUR_DOMAIN.com/#business",
      "name": "YOUR_RESTAURANT_NAME",
      "url": "https://YOUR_DOMAIN.com",
      "telephone": "YOUR_PHONE_NUMBER"
    },
    {
      "@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",
      "@id": "https://YOUR_DOMAIN.com/case-studies/#faq",
      "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"
          }
        }
      ]
    }
  ]
}

Frequently asked questions

How is a case study different from a portfolio item for a restaurant?

Both use CreativeWork inside an ItemList, but the difference is in the description. A portfolio item shows what you created ("Five-course tasting menu with wine pairings for a private party of 40"). A case study tells the story ("A tech company needed a private dinner for 40 with vegan and kosher accommodations. We designed a custom five-course menu..."). The narrative detail helps AI cite your event expertise, not just your visual output.

What kinds of case studies work best for a restaurant?

Focus on stories that show your restaurant solving a problem or meeting a need: private corporate dinners with complex dietary requirements, wedding rehearsal dinners, seasonal menu launch events, charity gala catering, or collaborative pop-up dinners with guest chefs. AI uses these narratives to match your restaurant to specific event-related requests.

How much detail should go in the description field?

Enough for AI to understand the context and outcome without visiting the full page — typically 2–3 sentences. Cover who the client or event was, what they needed, and what your restaurant delivered. AI uses this summary to decide whether to cite your case or link to the full page for more detail.

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