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Case Studies Blueprint — Professional Service

Case studies are proof of work. They show AI systems exactly what your firm has delivered, for whom, and with what measurable results. This blueprint structures each project outcome so AI can cite specific engagements when recommending your services.

View Prompt View JSON

What this page needs

Case studies are the most citable content a professional service firm can publish. When an AI system is asked "who has done this kind of work before," it looks for structured evidence of completed projects with named clients and measurable outcomes. Without structured data on these pages, your best proof of work stays invisible to AI.

Article type with project context. Each case study should use the Article type with an about property referencing a Thing that describes the client or project. This connects the writeup to the entity it covers.
Author and publisher. Link the case study to the Person who authored it and the Organization that published it. This establishes credibility and allows AI to attribute the work to your firm.
Measurable results in the description. The description field should include concrete outcomes — percentages, revenue impact, time saved. AI systems look for specificity when deciding which results to cite.
Image for visual context. An image property gives AI systems a visual reference for the project, which improves how the case study appears in AI-generated summaries and recommendations.

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

Article

headline: AI uses headline as the attribution title when citing content. Must match the H1 exactly — truncated or mismatched headlines create citation errors.
description: AI pulls this for summarization when citing the article. If absent AI guesses from page content, often inaccurately.
datePublished: AI deprioritizes undated content — it cannot assess freshness without a publish date. One of the most common missing fields on blog content.
author: Anonymous content gets lower AI citation confidence. Named authorship is a trust signal, especially for health, legal, and financial content.
publisher: AI uses publisher to assess source authority. Required for NewsArticle — strongly recommended for all content.
image: Required for NewsArticle. Affects citation in visual AI contexts and social sharing previews.

Person

name: Named humans increase citation confidence in high-liability niches. A faceless organization is harder for AI to recommend for law, medicine, or finance.
jobTitle: AI uses job title to classify expertise level and match the provider to credential-specific queries.
url: AI verifies real people exist through linkable profiles. Without a URL the Person node is an unverifiable claim.

Organization

name: Non-negotiable. AI cannot cite or recommend an unnamed entity.
url: AI needs a stable URL to attribute recommendations and route users correctly.
logo: Visual identity signal. AI uses logo presence to assess institutional legitimacy before recommending a service.

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.

You are implementing AIFDS-compliant JSON-LD structured data for a Professional Service 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. Author job title
2. Author name
3. Author slug
4. Case study image
5. Case study title
6. Client name
7. Domain
8. Faq answer
9. Faq question
10. Logo
11. Organization name
12. Project description
13. Project slug
14. Publish date
15. Result summary

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 Professional Service 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 the template below and replace every YOUR_* value with your own data. This block belongs in a <script type="application/ld+json"> tag in the <head> of each individual case study page.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Article",
      "@id": "https://YOUR_DOMAIN.com/case-studies/YOUR_PROJECT_SLUG/#article",
      "headline": "YOUR_CASE_STUDY_TITLE",
      "description": "YOUR_RESULT_SUMMARY",
      "datePublished": "YOUR_PUBLISH_DATE",
      "author": {
        "@id": "https://YOUR_DOMAIN.com/#author"
      },
      "publisher": {
        "@id": "https://YOUR_DOMAIN.com/#organization"
      },
      "about": {
        "@type": "Thing",
        "@id": "https://YOUR_DOMAIN.com/case-studies/YOUR_PROJECT_SLUG/#project",
        "name": "YOUR_CLIENT_NAME",
        "description": "YOUR_PROJECT_DESCRIPTION"
      },
      "image": "https://YOUR_DOMAIN.com/YOUR_CASE_STUDY_IMAGE.jpg"
    },
    {
      "@type": "Person",
      "@id": "https://YOUR_DOMAIN.com/#author",
      "name": "YOUR_AUTHOR_NAME",
      "jobTitle": "YOUR_AUTHOR_JOB_TITLE",
      "url": "https://YOUR_DOMAIN.com/team/YOUR_AUTHOR_SLUG/"
    },
    {
      "@type": "Organization",
      "@id": "https://YOUR_DOMAIN.com/#organization",
      "name": "YOUR_ORGANIZATION_NAME",
      "url": "https://YOUR_DOMAIN.com",
      "logo": "https://YOUR_DOMAIN.com/YOUR_LOGO.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://YOUR_DOMAIN.com/case-studies/YOUR_PROJECT_SLUG/#webpage",
      "url": "https://YOUR_DOMAIN.com/case-studies/YOUR_PROJECT_SLUG/",
      "name": "YOUR_CASE_STUDY_TITLE",
      "isPartOf": {
        "@id": "https://YOUR_DOMAIN.com/#website"
      },
      "breadcrumb": {
        "@id": "https://YOUR_DOMAIN.com/case-studies/YOUR_PROJECT_SLUG/#breadcrumb"
      }
    },
    {
      "@type": "BreadcrumbList",
      "@id": "https://YOUR_DOMAIN.com/case-studies/YOUR_PROJECT_SLUG/#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": "ListItem",
          "position": 3,
          "name": "YOUR_CASE_STUDY_TITLE",
          "item": "https://YOUR_DOMAIN.com/case-studies/YOUR_PROJECT_SLUG/"
        }
      ]
    },
    {
      "@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"
          }
        }
      ]
    }
  ]
}

Frequently asked questions

Should I use Article or CreativeWork for case studies?

Article is the better choice. AI systems understand Article as a written piece with a clear author, publish date, and subject. CreativeWork is too generic — it does not signal that the content is a structured writeup of a completed project. Article gives AI the context it needs to treat your case study as citable evidence.

What should I put in the description field?

Lead with the measurable result. Instead of "We helped a client improve their marketing," write "Increased qualified leads by 140% in 6 months for a B2B SaaS company through a full-funnel content strategy." AI systems are looking for specificity — numbers, timeframes, and concrete outcomes are what make a case study worth citing.

Do I need a separate JSON-LD block for each case study?

Yes. Each individual case study page should have its own JSON-LD block with a unique @id, headline, description, and breadcrumb. If you also have a case studies index page that lists all projects, that page should use CollectionPage with references to each individual case study — but the detailed structured data belongs on the individual pages.