Technical Guide · Copy-Paste JSON-LD

Real Estate Schema Markup: The Complete JSON-LD Guide

By Quantum Paradigm · Published July 7, 2026 · Validated against schema.org specification

Schema markup is structured data (JSON-LD placed in a page's <head>) that tells search engines and AI crawlers exactly what a business is, where it operates, and what it offers, without requiring them to infer it from prose. This guide provides validated, copy-paste templates for real estate agencies, builders, and property managers.

Before you DIY this: the templates below are correct and free to use. In practice, most businesses need this deployed across dozens of service-area pages (each with its own scoped areaServed and current credentials) then re-validated every time content, licensing, or coverage changes. Schema is one of seven steps in the full framework; on its own it rarely moves AI visibility. If you'd rather have this maintained for you, that's what our Audit + Full Fix and Monthly Growth Plan cover.

Templates in this guide

RealEstateAgent, for agencies and agents
GeneralContractor / HomeAndConstructionBusiness, for builders
LocalBusiness, for property managers
Supporting schema: Organization, BreadcrumbList, FAQPage
How to validate and deploy
Common mistakes that make schema useless

1. RealEstateAgent. For Agencies and Agents

Use RealEstateAgent for brokerages, agencies, buyers agencies, and individual agent profile pages. Required fields for GEO purposes: name, description, areaServed, and address.

{
  "@context": "https://schema.org",
  "@type": "RealEstateAgent",
  "name": "Your Agency Name",
  "url": "https://youragency.com",
  "description": "Residential sales and buyers agency
    specializing in [specialty], covering
    [area], established [year].",
  "areaServed": [
    {"@type": "Place", "name": "Suburb One"},
    {"@type": "Place", "name": "Suburb Two"},
    {"@type": "Place", "name": "Suburb Three"}
  ],
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Street address",
    "addressLocality": "City",
    "addressRegion": "State/Region",
    "postalCode": "Postal code",
    "addressCountry": "US"
  },
  "telephone": "+1 000-000-0000",
  "email": "hello@youragency.com",
  "sameAs": [
    "https://www.linkedin.com/company/...",
    "https://www.facebook.com/...",
    "https://www.instagram.com/..."
  ],
  "areaServed_note": "Repeat for every suburb/city genuinely served, do not list areas you don't actually cover."
}

Note: the areaServed_note key above is illustrative documentation, not valid schema, remove it before deploying. Only list areas you genuinely serve; AI engines and Google both penalize entity claims that don't match reality when discovered.

2. GeneralContractor / HomeAndConstructionBusiness. For Builders

Use GeneralContractor for builders and general contractors; use the broader HomeAndConstructionBusiness parent type for remodelers, fit-out specialists, and trade contractors that don't fit neatly under "general contractor."

{
  "@context": "https://schema.org",
  "@type": "GeneralContractor",
  "name": "Your Construction Company",
  "url": "https://yourcompany.com",
  "description": "Custom home builder and renovation
    contractor serving [region], licensed
    contractor #[license number],
    established [year].",
  "areaServed": [
    {"@type": "City", "name": "City One"},
    {"@type": "City", "name": "City Two"}
  ],
  "address": {
    "@type": "PostalAddress",
    "addressLocality": "City",
    "addressRegion": "State/Region",
    "addressCountry": "AU"
  },
  "telephone": "+61 0 0000 0000",
  "priceRange": "$$$"
}

3. LocalBusiness. For Property Managers

LocalBusiness is the correct type for property management companies, which schema.org does not classify under real estate agent types.

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Your Property Management Company",
  "url": "https://yourcompany.com",
  "description": "Residential and commercial property
    management company serving [areas],
    managing [X]+ units since [year].",
  "areaServed": [
    {"@type": "City", "name": "City One"}
  ],
  "address": {
    "@type": "PostalAddress",
    "addressLocality": "City",
    "addressRegion": "State/Region",
    "addressCountry": "PH"
  },
  "telephone": "+63 0 0000 0000",
  "openingHours": "Mo-Fr 09:00-18:00"
}

4. Supporting Schema: Organization, BreadcrumbList, FAQPage

Every property business site should also carry these three, regardless of primary business type:

Organization (homepage)

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company Name",
  "url": "https://yourcompany.com",
  "logo": "https://yourcompany.com/logo.png",
  "sameAs": ["https://www.linkedin.com/company/..."]
}

BreadcrumbList (every inner page)

{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    {"@type": "ListItem", "position": 1,
     "name": "Home", "item": "https://yourcompany.com/"},
    {"@type": "ListItem", "position": 2,
     "name": "Page Name",
     "item": "https://yourcompany.com/page/"}
  ]
}

FAQPage (pages with genuine Q&A content)

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {"@type": "Question",
     "name": "Your question here?",
     "acceptedAnswer": {"@type": "Answer",
       "text": "A direct, complete answer."}}
  ]
}

Per current schema guidance, FAQPage markup is primarily a GEO/AI Overview signal rather than a guaranteed rich-result feature in Google, it remains worth deploying for AI-answer visibility, but should not be the only schema priority on a page.

5. How to Validate and Deploy

Place the JSON-LD inside a <script type="application/ld+json"> tag in the page <head>.
Validate at validator.schema.org, paste the raw JSON and confirm zero errors.
Test in Google's Rich Results Test to confirm Google's parser reads it correctly.
Combine multiple schema types on one page using a single @graph array rather than multiple separate script tags, cleaner and easier to maintain.
Re-validate after every content update, schema that references outdated service areas or credentials actively misleads AI engines.

6. Common Mistakes That Make Schema Useless

Mistake	Why it fails
Copy-pasting a competitor's schema without editing `areaServed` or `name`	AI engines cross-check entity data against other sources; mismatches erode trust in the entire domain
Listing areas the business doesn't actually serve	Read as manipulation once discovered; can suppress citation rather than earn it
Schema on the homepage only, none on service pages	Each page needs its own scoped markup: a suburb page should declare that suburb, not just repeat the homepage's full list
Invalid JSON syntax (trailing commas, unescaped quotes)	Parsers silently ignore malformed blocks, always validate before deploying
Schema present but content contradicts it	If markup claims "licensed and insured" but no license number appears anywhere in visible text, AI engines weight the visible content more heavily

Want this implemented correctly, site-wide?

We deploy and validate this full schema stack as part of every real estate AI visibility engagement, for agencies, builders, and property managers alike.

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This guide is a companion to the complete 2026 guide to AI search optimization for real estate. See also: agencies · builders · property management.

Source: Schema.org vocabulary specification. Validation tools: validator.schema.org, Google Rich Results Test.