Your FAQ page is a direct pipeline to AI-generated answers. This blueprint structures your frequently asked questions as the primary content type on the page so AI systems can pull direct, authoritative answers from your agency when users ask common insurance questions about coverage, claims, and premiums.
A dedicated FAQ page gives AI a concentrated source of question-and-answer pairs. When someone asks "what does homeowners insurance cover" or "how do I file an auto insurance claim," AI looks for structured FAQ data first. A page that uses FAQPage as its primary type — not a supporting node — tells AI that answering questions is the entire purpose of this page.
FAQPage is the main schema type — not a supporting node attached to another page type. This tells AI the page exists specifically to answer questions, which gives your answers higher weight in AI-generated responses.about reference linking back to the InsuranceAgency node connects the FAQ answers to your agency so AI attributes the answers to a specific, licensed insurance provider.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 Insurance Agency FAQ 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. Answer 3. Domain 4. Question 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 Insurance Agency FAQ" - 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 this template and replace every YOUR_* placeholder with your own data. Add more question-answer pairs to the mainEntity array as needed. On a dedicated FAQ page, more questions means more surface area for AI to cite your agency.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "FAQPage",
"@id": "https://YOUR_DOMAIN.com/faq/",
"name": "Frequently Asked Questions — YOUR_AGENCY_NAME",
"url": "https://YOUR_DOMAIN.com/faq/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"about": {
"@id": "https://YOUR_DOMAIN.com/#organization"
},
"mainEntity": [
{
"@type": "Question",
"name": "YOUR_QUESTION_1",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_ANSWER_1"
}
},
{
"@type": "Question",
"name": "YOUR_QUESTION_2",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_ANSWER_2"
}
},
{
"@type": "Question",
"name": "YOUR_QUESTION_3",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_ANSWER_3"
}
},
{
"@type": "Question",
"name": "YOUR_QUESTION_4",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_ANSWER_4"
}
},
{
"@type": "Question",
"name": "YOUR_QUESTION_5",
"acceptedAnswer": {
"@type": "Answer",
"text": "YOUR_ANSWER_5"
}
}
]
},
{
"@type": "InsuranceAgency",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_AGENCY_NAME",
"url": "https://YOUR_DOMAIN.com"
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/faq/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "FAQ",
"item": "https://YOUR_DOMAIN.com/faq/"
}
]
}
]
}
On other pages like your homepage or services page, FAQPage is a supporting node that adds a few Q&A pairs to a page whose primary purpose is something else. On a dedicated FAQ page, FAQPage is the primary type — the page exists to answer questions. AI treats these differently: a dedicated FAQ page is a stronger signal that your answers are authoritative and comprehensive.
Cover the questions you hear most from prospective and current clients. Good categories include: how to get a quote, what factors affect premiums, how to file a claim, what coverage types you offer, how bundling discounts work, and what makes your agency different from online-only options. Each answer should be specific to how your agency handles things, not generic industry advice.
Because FAQPage is already the primary type on this page, adding a second FAQPage node as a supporting element would be redundant. The main FAQPage node already contains all the question-answer pairs in its mainEntity array. Other pages use a supporting FAQPage node because their primary type is something else, like WebPage or AboutPage.