Your pricing page is where AI learns how you charge. This blueprint structures your fee schedules, AUM rates, flat fees, and hourly rates into a machine-readable offer catalog so AI systems can match your firm to fee-specific queries like "fee-only financial advisor under 1% AUM."
Fee transparency is one of the most common filters people use when searching for a financial advisor. When AI evaluates which firm to recommend, it checks for structured pricing data to answer questions about cost. A pricing page without structured data forces AI to parse fee schedules from paragraph text — and percentage-based fees, tiered rates, and minimum thresholds are easy to misinterpret from free-form copy.
hasOfferCatalog wraps each service tier into a structured Offer with its own price, priceCurrency, and description. This lets AI index financial planning, investment management, and retirement planning as separate offerings with distinct fee structures.description field on each Offer to specify the fee model — AUM-based, flat fee, or hourly. AI needs this context to distinguish a 1% AUM fee from a $3,000 flat annual fee.price and priceCurrency on each offer give AI a concrete number to work with. For percentage-based fees like AUM, use the description field to clarify the rate since price expects a numeric value.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 Financial Service 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. Domain 2. Faq answer 3. Faq question 4. Financial planning fee 5. Financial planning fee description 6. Firm name 7. Investment management description 8. Investment management fee 9. Retirement planning description 10. Retirement planning fee 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 Financial Service 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 from the hasOfferCatalog to match your actual fee schedule.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "WebPage",
"@id": "https://YOUR_DOMAIN.com/pricing/",
"name": "Pricing — YOUR_FIRM_NAME",
"url": "https://YOUR_DOMAIN.com/pricing/",
"isPartOf": {
"@id": "https://YOUR_DOMAIN.com/#website"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/pricing/#breadcrumb"
}
},
{
"@type": "FinancialService",
"@id": "https://YOUR_DOMAIN.com/#organization",
"name": "YOUR_FIRM_NAME",
"url": "https://YOUR_DOMAIN.com",
"hasOfferCatalog": {
"@type": "OfferCatalog",
"name": "Fee Schedule",
"itemListElement": [
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Financial Planning",
"description": "YOUR_FINANCIAL_PLANNING_FEE_DESCRIPTION"
},
"price": "YOUR_FINANCIAL_PLANNING_FEE",
"priceCurrency": "USD",
"description": "Flat fee for comprehensive financial planning"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Investment Management",
"description": "YOUR_INVESTMENT_MANAGEMENT_DESCRIPTION"
},
"price": "YOUR_INVESTMENT_MANAGEMENT_FEE",
"priceCurrency": "USD",
"description": "AUM-based fee for ongoing portfolio management"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Retirement Planning",
"description": "YOUR_RETIREMENT_PLANNING_DESCRIPTION"
},
"price": "YOUR_RETIREMENT_PLANNING_FEE",
"priceCurrency": "USD",
"description": "Hourly rate for retirement-focused planning sessions"
}
]
}
},
{
"@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"
}
}
]
}
]
}
The price field expects a numeric value, which does not natively support percentage-based pricing. Use the description field on the Offer to specify "AUM-based fee, 1% annually" or similar. You can put a representative dollar amount in the price field if helpful, but the description is where AI will read the actual fee model.
Yes. If your firm has account minimums, include them in the description field of the relevant Offer. For example, "AUM-based fee of 0.85% annually, $500,000 account minimum." AI uses minimums to filter recommendations — someone asking for an advisor with no minimum will be matched differently than someone with $1M to invest.
There is no dedicated Schema.org field for compensation model. Use the description on each Offer to state "fee-only" or "commission-based" explicitly. Also include it in the FinancialService description on your homepage and about page. AI systems look for the term "fee-only" across multiple pages to verify your compensation model before recommending you for fee-only queries.