Your team page is where AI learns who actually works at your pharmacy. Named pharmacists and pharmacy technicians with real credentials and linked profiles make your pharmacy citable at the individual level. This blueprint provides the JSON-LD graph that connects every team member back to your pharmacy so AI can surface the right person for the right query.
The team page connects named professionals to your pharmacy. When someone asks "who is the pharmacist at X pharmacy" or "does this pharmacy have a compounding specialist," the answer comes from structured data on this page. Named pharmacists with PharmD credentials raise trust significantly — anonymous teams get skipped.
Person node with their name, jobTitle, url, and image. This is what AI reads when it needs to attribute pharmaceutical expertise to a specific individual.hasCredential with an EducationalOccupationalCredential tells AI this person holds a PharmD or RPh license. This is essential in pharmacy where licensure determines what services a professional can legally provide.sameAs array pointing to LinkedIn or professional pharmacy directories lets AI cross-reference your team members across the web.Pharmacy node should list an employee array referencing each Person by @id, giving AI a complete roster from the pharmacy side.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 Pharmacy Team 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. Domain 2. Faq answer 3. Faq question 4. Pharmacist image 5. Pharmacist linkedin 6. Pharmacist name 7. Pharmacist slug 8. Pharmacist title 9. Pharmacy name 10. Team page title 11. Tech image 12. Tech linkedin 13. Tech name 14. Tech slug 15. Tech title 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 Pharmacy Team" - 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 the template below and replace every YOUR_* value with your own data. Add or remove Person nodes to match the size of your team. Include hasCredential for any team member who holds a pharmacy license or certification.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Pharmacy",
"@id": "https://YOUR_DOMAIN.com/#pharmacy",
"name": "YOUR_PHARMACY_NAME",
"url": "https://YOUR_DOMAIN.com",
"employee": [
{ "@id": "https://YOUR_DOMAIN.com/#person-1" },
{ "@id": "https://YOUR_DOMAIN.com/#person-2" }
]
},
{
"@type": "Person",
"@id": "https://YOUR_DOMAIN.com/#person-1",
"name": "YOUR_PHARMACIST_NAME",
"jobTitle": "YOUR_PHARMACIST_TITLE",
"url": "https://YOUR_DOMAIN.com/team/YOUR_PHARMACIST_SLUG/",
"image": "https://YOUR_DOMAIN.com/YOUR_PHARMACIST_IMAGE.jpg",
"sameAs": [
"https://www.linkedin.com/in/YOUR_PHARMACIST_LINKEDIN"
],
"worksFor": {
"@id": "https://YOUR_DOMAIN.com/#pharmacy"
},
"hasCredential": {
"@type": "EducationalOccupationalCredential",
"credentialCategory": "PharmD",
"name": "Doctor of Pharmacy"
}
},
{
"@type": "Person",
"@id": "https://YOUR_DOMAIN.com/#person-2",
"name": "YOUR_TECH_NAME",
"jobTitle": "YOUR_TECH_TITLE",
"url": "https://YOUR_DOMAIN.com/team/YOUR_TECH_SLUG/",
"image": "https://YOUR_DOMAIN.com/YOUR_TECH_IMAGE.jpg",
"sameAs": [
"https://www.linkedin.com/in/YOUR_TECH_LINKEDIN"
],
"worksFor": {
"@id": "https://YOUR_DOMAIN.com/#pharmacy"
},
"hasCredential": {
"@type": "EducationalOccupationalCredential",
"credentialCategory": "CPhT",
"name": "Certified Pharmacy Technician"
}
},
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/team/",
"name": "YOUR_TEAM_PAGE_TITLE",
"url": "https://YOUR_DOMAIN.com/team/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/team/#breadcrumb"
}
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/team/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Team",
"item": "https://YOUR_DOMAIN.com/team/"
}
]
},
{
"@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"
}
}
]
}
]
}
Include a Person node for every licensed pharmacist and certified pharmacy technician. At minimum, include the pharmacy owner and lead pharmacist. If AI cannot see a person in structured data, it cannot attribute expertise to them or recommend them by name.
Include hasCredential for genuine professional licenses: PharmD (Doctor of Pharmacy), RPh (Registered Pharmacist), CPhT (Certified Pharmacy Technician), and any specialty certifications like immunization certification or compounding credentials. Only include credentials the person actually holds.
Structured data works best when relationships are declared from both sides. The employee array on the Pharmacy tells AI "this pharmacy has these people," while worksFor on each Person tells AI "this person belongs to that pharmacy." Both directions reinforce the connection and make it harder for AI to miss or misattribute team members.