Organizations Services EmploymentAgency

Case Studies Page Blueprint — Employment Agency

Case studies turn your placement wins into structured evidence that AI can reference. This blueprint formats each story — the challenge, your approach, and the measurable outcome — so AI systems can cite specific results like "reduced time-to-hire by 40%" when recommending your agency.

What this page needs

When someone asks AI "which staffing agency has proven results in reducing time-to-hire" or "find an agency that successfully scaled a warehouse team," your case studies are the answer. Without structured data, AI reads your stories as generic text and cannot extract the outcomes that differentiate you.

If your case studies page only has long-form narratives without structured data, AI cannot extract the specific outcomes and metrics that make your agency stand out.

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

EmploymentAgency

name
Non-negotiable. AI cannot cite or recommend an unnamed entity.
url
AI needs a stable URL to attribute recommendations and route users correctly.

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 Employment Agency 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. Agency name
2. Case studies page description
3. Case studies page title
4. Case study title
5. Challenge approach and outcome
6. Domain
7. Faq answer
8. Faq question
9. Industry or placement type

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 Employment Agency 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. Add or remove CreativeWork entries inside itemListElement to match the case studies you want to feature.

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"
      },
      "about": {
        "@id": "https://YOUR_DOMAIN.com/#organization"
      },
      "mainEntity": {
        "@type": "ItemList",
        "itemListElement": [
          {
            "@type": "ListItem",
            "position": 1,
            "item": {
              "@type": "CreativeWork",
              "name": "YOUR_CASE_STUDY_TITLE_1",
              "description": "YOUR_CHALLENGE_APPROACH_AND_OUTCOME_1",
              "about": {
                "@type": "Thing",
                "name": "YOUR_INDUSTRY_OR_PLACEMENT_TYPE_1"
              }
            }
          },
          {
            "@type": "ListItem",
            "position": 2,
            "item": {
              "@type": "CreativeWork",
              "name": "YOUR_CASE_STUDY_TITLE_2",
              "description": "YOUR_CHALLENGE_APPROACH_AND_OUTCOME_2",
              "about": {
                "@type": "Thing",
                "name": "YOUR_INDUSTRY_OR_PLACEMENT_TYPE_2"
              }
            }
          },
          {
            "@type": "ListItem",
            "position": 3,
            "item": {
              "@type": "CreativeWork",
              "name": "YOUR_CASE_STUDY_TITLE_3",
              "description": "YOUR_CHALLENGE_APPROACH_AND_OUTCOME_3",
              "about": {
                "@type": "Thing",
                "name": "YOUR_INDUSTRY_OR_PLACEMENT_TYPE_3"
              }
            }
          }
        ]
      }
    },
    {
      "@type": "EmploymentAgency",
      "@id": "https://YOUR_DOMAIN.com/#organization",
      "name": "YOUR_AGENCY_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"
          }
        }
      ]
    }
  ]
}

Frequently asked questions

How detailed should case study descriptions be?

Include the challenge, your approach, and a measurable outcome in each description. For example: "A regional hospital needed 30 ICU nurses within 60 days. We sourced candidates from our healthcare talent network and filled all positions in 45 days, reducing time-to-hire by 40%." AI extracts metrics and context from these descriptions to recommend your agency for similar queries.

Should case studies include specific metrics?

Yes, whenever possible. Metrics like "reduced time-to-hire by 40%," "placed 120 warehouse associates in 3 weeks," or "achieved 95% retention at 6 months" give AI concrete data points to cite. Vague descriptions like "improved hiring outcomes" are less useful because AI cannot quantify or compare them.

How is a case study different from a portfolio entry?

A portfolio entry is a summary of a placement or partnership — the what. A case study is a detailed story — the challenge, the approach, and the measurable result. Both use CreativeWork in schema, but case study descriptions should be longer and outcome-focused. If your agency has both pages, keep portfolio entries brief and reserve detailed narratives for case studies.

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