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    SwiftSchema

    Intuitive Schema Generation at Your Fingertips

    AboutLearnContact

    Real Estate Agent Schema Generator — Win Local Visibility and Trust

    Generate clean JSON‑LD for brokerages and agents. Clarify address, phone, opening hours, and service areas to improve local SEO and client confidence.

    Try the Real Estate Generator

    Why many brokerage pages underperform

    Pain points we solve

    • Competitors show clear hours, phone, and locations — your snippet looks generic.
    • Inconsistent NAP (name, address, phone) across branches confuses maps and buyers.
    • Listings and agent profiles are scattered, making entity relationships unclear.
    • Validator warnings for address fields or hours format slow down releases.

    How SwiftSchema helps

    Solution

    Our generator ensures the essentials are present and correctly formatted — complete address, telephone, and opening hours — and produces copy‑ready JSON‑LD you can paste once per office page.

    Add service areas in visible page content; for multiple offices, create a dedicated location page for each and apply markup accordingly.

    AggregateRating is supported when you have genuine, policy‑compliant reviews; you can also profile team members using Person + ProfilePage and link from the office page.

    How it works

    How it works

    1. Choose RealEstateAgent in the generator below.
    2. Enter brokerage/office name and full address (street, city, region, postal code, country).
    3. Add telephone and opening hours using the recommended format.
    4. Include service area details in page content and optional AggregateRating only if compliant.
    5. Copy JSON or Script, paste on each office page, and validate in the Rich Results Test.
    Generate Real Estate JSON‑LD

    Use once per office. Validate. Ship.

    What is RealEstateAgent structured data?

    RealEstateAgent represents brokerages and realty offices. Marking up each office location with accurate address, phone, hours, and service context helps search engines understand your presence and present more helpful details to buyers and sellers.

    Eligibility & Status

    RealEstateAgent (a LocalBusiness subtype) acts as a foundational local signal. It’s “limited” for direct rich results; eligibility depends on content quality, policy compliance, and specific Google surfaces.

    Why real-estate markup matters

    • Local trust: Buyers and sellers need clear contact info and service coverage, especially for high-stakes transactions.
    • Multi-office management: Brokerages can avoid NAP inconsistencies and duplicate listings by structuring each office.
    • Agent relationships: When combined with Person/ProfilePage schema for agents, RealEstateAgent clarifies team structure and listings.

    Essential properties to include

    • name
      ,
      url
      , and
      description
      .
    • address
      : PostalAddress for each office (avoid P.O. boxes if possible).
    • telephone
       and optional
      faxNumber
      .
    • openingHoursSpecification
      : Show office availability and after-hours support.
    • areaServed
      : Mention neighborhoods or metropolitan areas in copy; use
      serviceType
      or description to highlight specialties (residential, commercial).
    • image
      : Office or team photos.
    • sameAs
      : Links to business profiles (Google, Zillow, social).
    • aggregateRating
      : Only if you host policy-compliant client reviews.

    Preparing office data before generating schema

    1. Audit NAP data: Pull office addresses/phones from your CRM or brokerage directory to ensure accuracy.
    2. List service areas: Document cities/neighborhoods served by each office.
    3. Highlight specialties: Luxury, commercial, property management — include them in copy and schema description.
    4. Gather agent info: Link to agent ProfilePages/Person schema where relevant.
    5. Collect imagery: Office storefronts, team photos to reinforce trust.
    6. Plan maintenance: Establish who updates schema when offices move or merge.

    Implementation workflow inside SwiftSchema

    1. Select RealEstateAgent in the generator.
    2. Enter office
      name
      ,
      url
      , and PostalAddress.
    3. Add
      telephone
      ,
      openingHoursSpecification
      , and service area details (in description or additionalProperty).
    4. Include
      image
      ,
      sameAs
      , and optional
      aggregateRating
      .
    5. Export JSON-LD, embed it on the office page, and validate via the Rich Results Test.

    Troubleshooting & QA

    • P.O. boxes: Provide physical office addresses whenever possible; if virtual, explain in copy.
    • Inconsistent NAP: Align schema with business directories and Google Business Profile.
    • Misformatted hours: Use
      openingHours
      or
      openingHoursSpecification
      correctly (day abbreviations with
      HH:MM-HH:MM
      ).
    • Self-serving reviews: Only mark up verified client reviews that meet policy requirements.
    • Agent linkage: Ensure Person/ProfilePage schema references the office to keep relationships clear.

    Maintenance and governance

    • Audit each office quarterly for address, phone, service areas, and agent changes.
    • Keep
      lastReviewed
      metadata current; assign marketing or operations owners for schema updates.
    • When opening/closing offices, update schema, page copy, and business listings simultaneously.

    Common Errors & Fixes

    • P.O. boxes: prefer a physical office address where possible.
    • Incomplete address: include city, region, postal code, and country.
    • Misformatted hours: follow the recognized
      openingHours
      format or
      openingHoursSpecification
      .
    • Self-serving reviews: include ratings only with policy-compliant, genuine reviews.

    Required properties

    • name
    • address.streetAddress
    • address.addressLocality
    • address.addressRegion
    • address.postalCode
    • address.addressCountry

    Recommended properties

    • telephone
    • openingHours
    • aggregateRating.ratingValue
    • aggregateRating.ratingCount
    Minimal JSON-LD
    Validate
    {
  "@context": "https://schema.org",
  "@type": "RealEstateAgent",
  "name": "ACME Realty",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "200 Market St",
    "addressLocality": "San Francisco",
    "addressRegion": "CA",
    "postalCode": "94105",
    "addressCountry": "US"
  }
}

    FAQs

    Can I add service areas?Show
    List coverage cities or regions in your page content; you may also add multiple offices as Place entries.
    Can I show team members?Show
    Profile agents with Person markup and link to their ProfilePage.

    Related types

    Browse all schema types

    References

    Generate Real Estate Agent schema

    Fill in page details, copy JSON or Script, and validate.

      Schema Type

      🏠 Real Estate Agent Schema Generator

      LocalBusiness subtype for realtors. Add office info, service area, and contact points.

      Generated Schema

      Validate your schema here.