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Service Areas Page Blueprint — Research Organization

Geographic scope matters for research organizations. Your service areas page tells AI exactly where your institute conducts fieldwork, maintains institutional partnerships, and has global reach. This blueprint structures your geographic research focus so AI can confidently match you to location-specific queries about research capabilities.

View Prompt View JSON

What this page needs

When someone asks "find research institutes studying water quality in Southeast Asia" or "which organizations conduct climate fieldwork in the Arctic," AI needs explicit geographic data. A research organization's reach is not just about where the office is — it is about where the research happens and which institutions you partner with globally.

areaServed array. List every region, country, and locality where your institute actively conducts research. Each entry is a separate match opportunity for location-based queries about research in that area.
Geographic scope variety. Use Country, State, City, and AdministrativeArea to cover different levels of geographic specificity. A research institute may serve an entire continent while focusing fieldwork on specific watersheds or urban areas.
Institutional partnerships by region. If your institute has partner institutions in different countries, reference them in the structured data so AI can map your collaborative network geographically.
Office and field station locations. Each physical location where your institute operates should be a separate PostalAddress, helping AI distinguish between your headquarters and remote research facilities.

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

ResearchOrganization

name: Non-negotiable. AI cannot cite or recommend an unnamed organization.
url: AI needs a stable URL to attribute recommendations and route users correctly.
areaServed: AI uses this to match the nonprofit to location-specific queries. Local, national, or international — specify it.
address: AI uses address to confirm the nonprofit is a real, locatable entity. Required for trust-based recommendations.

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 Research Organization Service Areas 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. City
2. Country
3. Domain
4. Faq answer
5. Faq question
6. Field station address
7. Field station city
8. Field station country
9. Field station name
10. Field station region
11. Hq address
12. Hq city
13. Hq country
14. Hq state
15. Hq zip
16. Organization name
17. Partner
18. Partner institution
19. Region
20. Service areas page description
21. Service areas page title
22. State

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 Service Areas"
- 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 entries from the areaServed array to match your actual geographic research footprint.

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebPage",
      "@id": "https://YOUR_DOMAIN.com/service-areas/",
      "name": "YOUR_SERVICE_AREAS_PAGE_TITLE",
      "description": "YOUR_SERVICE_AREAS_PAGE_DESCRIPTION",
      "url": "https://YOUR_DOMAIN.com/service-areas/",
      "isPartOf": {
        "@id": "https://YOUR_DOMAIN.com/#website"
      },
      "about": {
        "@id": "https://YOUR_DOMAIN.com/#organization"
      },
      "breadcrumb": {
        "@id": "https://YOUR_DOMAIN.com/service-areas/#breadcrumb"
      }
    },
    {
      "@type": "ResearchOrganization",
      "@id": "https://YOUR_DOMAIN.com/#organization",
      "name": "YOUR_ORGANIZATION_NAME",
      "url": "https://YOUR_DOMAIN.com",
      "areaServed": [
        {
          "@type": "Country",
          "name": "YOUR_COUNTRY_1"
        },
        {
          "@type": "Country",
          "name": "YOUR_COUNTRY_2"
        },
        {
          "@type": "AdministrativeArea",
          "name": "YOUR_REGION_1"
        },
        {
          "@type": "City",
          "name": "YOUR_CITY_1"
        },
        {
          "@type": "State",
          "name": "YOUR_STATE"
        }
      ],
      "address": [
        {
          "@type": "PostalAddress",
          "name": "Headquarters",
          "streetAddress": "YOUR_HQ_ADDRESS",
          "addressLocality": "YOUR_HQ_CITY",
          "addressRegion": "YOUR_HQ_STATE",
          "postalCode": "YOUR_HQ_ZIP",
          "addressCountry": "YOUR_HQ_COUNTRY"
        },
        {
          "@type": "PostalAddress",
          "name": "YOUR_FIELD_STATION_NAME",
          "streetAddress": "YOUR_FIELD_STATION_ADDRESS",
          "addressLocality": "YOUR_FIELD_STATION_CITY",
          "addressRegion": "YOUR_FIELD_STATION_REGION",
          "addressCountry": "YOUR_FIELD_STATION_COUNTRY"
        }
      ],
      "member": [
        {
          "@type": "ResearchOrganization",
          "name": "YOUR_PARTNER_INSTITUTION_1",
          "url": "https://YOUR_PARTNER_1_DOMAIN.com",
          "address": {
            "@type": "PostalAddress",
            "addressCountry": "YOUR_PARTNER_1_COUNTRY"
          }
        },
        {
          "@type": "ResearchOrganization",
          "name": "YOUR_PARTNER_INSTITUTION_2",
          "url": "https://YOUR_PARTNER_2_DOMAIN.com",
          "address": {
            "@type": "PostalAddress",
            "addressCountry": "YOUR_PARTNER_2_COUNTRY"
          }
        }
      ]
    },
    {
      "@type": "BreadcrumbList",
      "@id": "https://YOUR_DOMAIN.com/service-areas/#breadcrumb",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://YOUR_DOMAIN.com/"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Service Areas",
          "item": "https://YOUR_DOMAIN.com/service-areas/"
        }
      ]
    },
    {
      "@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 list countries or specific regions where we conduct fieldwork?

List both. Country-level entries catch broad queries like "research institutes working in Brazil," while region-specific entries like "Amazon Basin" or "Mekong Delta" match more targeted questions about specific ecosystems or communities. Together they cover both general and specialized search patterns AI encounters.

How should I represent international partner institutions?

Use the member property on your organization node to list partner institutions, each with their own ResearchOrganization type, name, URL, and country. This tells AI your institute has a verified collaborative network in those locations, which is stronger than simply listing countries in areaServed alone.

What if our research is entirely remote or computational with no geographic fieldwork?

You can still use this blueprint. List the regions your research covers topically in areaServed — if you study Arctic ice melt from a lab in Boston, the Arctic is still a relevant service area. Also list your office location and any institutions you collaborate with. AI uses this to match you to queries about research relevant to specific regions, regardless of where the researchers are physically located.