Your pricing page tells customers what your plumbing services cost. This blueprint structures service call fees, drain cleaning rates, water heater installation pricing, and pipe repair costs into a machine-readable offer catalog so AI can match your business to budget-specific queries.
Pricing is one of the most common filters in plumbing queries. When someone asks "how much does a plumber charge to unclog a drain" or "affordable water heater installation near me," AI needs structured price data to give an answer. Without it, your business gets skipped in favor of competitors who publish their rates in a format AI can read.
hasOfferCatalog wraps each service in an Offer with explicit price and priceCurrency fields. This is the core of the pricing page — every service with a published rate gets its own offer entry.Offer contains a description that explains what the price includes. "Drain cleaning — includes camera inspection and up to 100 feet of cable" is far more useful to AI than just a dollar amount.price of "150" with priceCurrency "USD" gives AI a concrete number it can cite. For variable pricing, use priceRange or describe the range in the description field.Plumber node anchors the offers to your business, so AI knows which company charges these rates.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
nameurltelephonehasOfferCatalogCopy 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 Plumber 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. Business name 2. Domain 3. Drain cleaning description 4. Drain cleaning price 5. Faq answer 6. Faq question 7. Phone number 8. Pipe repair description 9. Pipe repair price 10. Pricing page description 11. Pricing page title 12. Service call description 13. Service call price 14. Water heater install description 15. Water heater install price 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 Plumber 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 the template below and replace every YOUR_* value with your own data. Add or remove Offer entries to match your actual pricing. This block belongs in a <script type="application/ld+json"> tag in the <head> of your pricing page.
{
"@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"
},
"about": {
"@id": "https://YOUR_DOMAIN.com/#business"
},
"breadcrumb": {
"@id": "https://YOUR_DOMAIN.com/pricing/#breadcrumb"
}
},
{
"@type": "Plumber",
"@id": "https://YOUR_DOMAIN.com/#business",
"name": "YOUR_BUSINESS_NAME",
"url": "https://YOUR_DOMAIN.com",
"telephone": "YOUR_PHONE_NUMBER",
"hasOfferCatalog": {
"@type": "OfferCatalog",
"name": "Plumbing Service Pricing",
"itemListElement": [
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Service Call",
"description": "YOUR_SERVICE_CALL_DESCRIPTION"
},
"price": "YOUR_SERVICE_CALL_PRICE",
"priceCurrency": "USD"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Drain Cleaning",
"description": "YOUR_DRAIN_CLEANING_DESCRIPTION"
},
"price": "YOUR_DRAIN_CLEANING_PRICE",
"priceCurrency": "USD"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Water Heater Installation",
"description": "YOUR_WATER_HEATER_INSTALL_DESCRIPTION"
},
"price": "YOUR_WATER_HEATER_INSTALL_PRICE",
"priceCurrency": "USD"
},
{
"@type": "Offer",
"itemOffered": {
"@type": "Service",
"name": "Pipe Repair",
"description": "YOUR_PIPE_REPAIR_DESCRIPTION"
},
"price": "YOUR_PIPE_REPAIR_PRICE",
"priceCurrency": "USD"
}
]
}
},
{
"@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"
}
}
]
}
]
}
Use exact prices wherever you can. A price of "150" is far more useful to AI than a vague range. When someone asks "how much does drain cleaning cost," AI can cite your exact number. For services where pricing genuinely varies — like a whole-house repipe that depends on square footage — use the description field to explain the range and set price to your starting rate.
Use your standard rates as the baseline. You can add validFrom and validThrough to each Offer if your pricing is seasonal, or maintain separate pricing pages for different service areas. The key is that whatever price you publish in structured data matches what a customer would actually see when they contact you. AI penalizes mismatches between structured data and real-world pricing.
Yes. The service call fee is one of the most commonly asked-about plumbing costs. "How much does a plumber charge just to come out?" is a high-volume query. By listing it as its own Offer with a clear price, you give AI a direct answer to that specific question. It also sets expectations — customers know the baseline cost before the actual repair work begins.