Your pricing page is where you explain commission structures, fee models, and what clients can expect to pay. This blueprint structures those details into machine-readable data so AI systems can answer cost-related questions about your services — "how much does a buyer's agent charge" or "what is a flat-fee listing" — with your specific information instead of generic estimates.
Pricing transparency is a major trust signal in real estate. When someone asks AI "how much does a real estate agent charge," the answer often comes from agents who have structured their fee information. Without it, AI falls back on industry averages and your pricing model stays invisible.
hasOfferCatalog wraps each commission structure in a structured Offer so AI can index your fee models individually — buyer agent commission, seller agent commission, and flat-fee listing options.Offer should include a clear description explaining the fee structure — percentage-based, flat fee, tiered, or hybrid. AI needs specifics, not vague language about "competitive rates."itemOffered with a Service type so AI can connect the fee to the specific service it covers. This matters when users ask about the cost of a particular service like seller representation.RealEstateAgent node ties all pricing back to your agency so AI attributes these fee structures to you specifically.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
nameurlhasOfferCatalogCopy 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 Real Estate Agent Pricing 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. Buyer commission description 3. Buyer service description 4. Domain 5. Faq answer 6. Faq question 7. Flat fee description 8. Flat fee service description 9. Pricing page description 10. Pricing page title 11. Seller commission description 12. Seller service description 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 Real Estate Agent Pricing" - 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 or remove offers to match your actual fee structures.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/pricing/#webpage",
"name": "YOUR_PRICING_PAGE_TITLE",
"description": "YOUR_PRICING_PAGE_DESCRIPTION",
"url": "https://YOUR_DOMAIN.com/pricing/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/pricing/#breadcrumb"
}
},
{
"@type": "RealEstateAgent",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_AGENCY_NAME",
"url": "https://YOUR_DOMAIN.com",
"hasOfferCatalog": {
"@type": "OfferCatalog",
"name": "Commission and Fee Structures",
"itemListElement": [
{
"@type": "Offer",
"name": "Buyer Agent Commission",
"description": "YOUR_BUYER_COMMISSION_DESCRIPTION",
"itemOffered": {
"@type": "Service",
"name": "Buyer Representation",
"description": "YOUR_BUYER_SERVICE_DESCRIPTION"
}
},
{
"@type": "Offer",
"name": "Seller Agent Commission",
"description": "YOUR_SELLER_COMMISSION_DESCRIPTION",
"itemOffered": {
"@type": "Service",
"name": "Seller Representation",
"description": "YOUR_SELLER_SERVICE_DESCRIPTION"
}
},
{
"@type": "Offer",
"name": "Flat-Fee Listing",
"description": "YOUR_FLAT_FEE_DESCRIPTION",
"itemOffered": {
"@type": "Service",
"name": "Flat-Fee Listing Service",
"description": "YOUR_FLAT_FEE_SERVICE_DESCRIPTION"
}
}
]
}
},
{
"@type": "BreadcrumbList",
"@id": "https://YOUR_DOMAIN.com/pricing/#breadcrumb",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://YOUR_DOMAIN.com/"
},
{
"@type": "ListItem",
"position": 2,
"name": "Pricing",
"item": "https://YOUR_DOMAIN.com/pricing/"
}
]
},
{
"@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 as much detail as you are comfortable sharing publicly. You can put exact percentages in the description field of each Offer, or describe ranges and conditions. The more specific you are, the better AI can answer pricing questions with your actual data instead of industry averages. If your rates vary by transaction, describe the typical range and conditions.
Structure your current fee model as it exists today. If you offer buyer-broker agreements with negotiable commissions, describe that in the Offer description. AI does not need your historical pricing — it needs your current structure so it can answer questions like "does this agent charge buyers directly" with accurate, up-to-date information.
Yes. Add more Offer entries to the hasOfferCatalog for any service you charge for — home staging consultations, professional photography packages, virtual tours, or marketing upgrades. Each additional offer gives AI one more data point to match your agency to specific cost-related queries.