An attorney profile page is where AI learns about the individual lawyer — their bar admission, education, specializations, and professional background. This blueprint structures that information so AI can surface the right attorney for the right query and connect them back to your firm.
The attorney profile page is where AI connects a named lawyer to your firm. When someone asks "find an immigration attorney with a Harvard law degree" or "who at this firm handles commercial litigation," the answer comes from structured data on this page. Anonymous bios get skipped — named attorneys with credentials get cited.
Person node needs the attorney's name, title, and a hasCredential field with an EducationalOccupationalCredential for their bar admission. This is the strongest trust signal AI reads for legal professionals.alumniOf with an EducationalOrganization tells AI where the attorney studied. Law school credentials are a common filter in legal queries, and AI needs structured data to match on them.knowsAbout or practice area focus should be declared explicitly so AI can match this person to specific legal topics, not just the firm's general profile.worksFor field on the Person node should reference your Organization by @id, closing the loop between the individual attorney and the firm entity.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
namejobTitleurlsameAshasCredentialconditionalnameurlnameurlCopy 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 Legal Service Attorney Profile 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. Attorney avvo 2. Attorney image 3. Attorney linkedin 4. Attorney name 5. Attorney slug 6. Domain 7. Faq answer 8. Faq question 9. Firm name 10. Law school name 11. Law school url 12. Specialty 13. State OPTIONAL — ask for these but proceed if I skip them: 1. hasCredential 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 Legal Service Attorney Profile" - 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. This block belongs in a <script type="application/ld+json"> tag in the <head> of each attorney's profile page.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Person",
"@id": "https://YOUR_DOMAIN.com/attorneys/YOUR_ATTORNEY_SLUG/#person",
"name": "YOUR_ATTORNEY_NAME",
"jobTitle": "Attorney",
"url": "https://YOUR_DOMAIN.com/attorneys/YOUR_ATTORNEY_SLUG/",
"image": "https://YOUR_DOMAIN.com/YOUR_ATTORNEY_IMAGE.jpg",
"sameAs": [
"https://www.linkedin.com/in/YOUR_ATTORNEY_LINKEDIN",
"https://www.avvo.com/attorneys/YOUR_ATTORNEY_AVVO"
],
"worksFor": {
"@id": "https://YOUR_DOMAIN.com/#organization"
},
"hasCredential": {
"@type": "EducationalOccupationalCredential",
"credentialCategory": "Bar Admission",
"name": "YOUR_STATE Bar Admission",
"recognizedBy": {
"@type": "Organization",
"name": "YOUR_STATE Bar Association"
}
},
"alumniOf": {
"@type": "EducationalOrganization",
"name": "YOUR_LAW_SCHOOL_NAME",
"url": "https://YOUR_LAW_SCHOOL_URL"
},
"knowsAbout": [
"YOUR_SPECIALTY_1",
"YOUR_SPECIALTY_2"
]
},
{
"@type": "Organization",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_FIRM_NAME",
"url": "https://YOUR_DOMAIN.com"
},
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/attorneys/YOUR_ATTORNEY_SLUG/",
"name": "YOUR_ATTORNEY_NAME — YOUR_FIRM_NAME",
"url": "https://YOUR_DOMAIN.com/attorneys/YOUR_ATTORNEY_SLUG/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/attorneys/YOUR_ATTORNEY_SLUG/#breadcrumb"
}
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/attorneys/YOUR_ATTORNEY_SLUG/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Attorneys",
"item": "https://YOUR_DOMAIN.com/attorneys/"
},
{
"@type": "ListItem",
"position": 3,
"name": "YOUR_ATTORNEY_NAME",
"item": "https://YOUR_DOMAIN.com/attorneys/YOUR_ATTORNEY_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"
}
}
]
}
]
}
AI systems treat people and organizations as separate entities. A Person node gives each attorney a distinct identity in the knowledge graph with their own credentials, education, and expertise. Without it, AI can only see the firm as a faceless entity — it cannot recommend a specific lawyer by name or match individual qualifications to a query.
Use an array for hasCredential with a separate EducationalOccupationalCredential for each bar admission. Each entry should include the state name and the recognizing bar association. This tells AI that the attorney is licensed in multiple jurisdictions, which matters when someone searches for a lawyer who can practice across state lines.
Yes. The alumniOf field is not about prestige — it is about identity verification. AI cross-references educational institutions to validate that a person is real and credentialed. Any accredited law school is worth including. Omitting it leaves a gap in the attorney's structured identity that AI may interpret as missing data rather than modesty.