Real Estate Ontology

Comprehensive domain knowledge for real estate agencies and property management companies.

Overview

The Real Estate ontology provides AI agents with deep understanding of:

• Property listings and marketing
• Buyer and seller representation
• Lease and rental management
• Property maintenance and operations
• Transaction coordination and closing

Key Entities

Entity	Description	Attributes
Property	Real estate listing	Address, Type, Price, Status
Client	Buyer/seller/tenant	Type, Budget, Preferences, Status
Listing	Property offering	Price, Features, Photos, MLS#
Lease	Rental agreement	Term, Rent, Tenant, Status
Showing	Property visit	Date, Property, Agent, Feedback

Common Workflows

Property Sale Process

graph LR
    A[Listing] --> B[Marketing]
    B --> C[Showings]
    C --> D{Offer?}
    D -->|Yes| E[Negotiation]
    D -->|No| F[Continue Marketing]
    E --> G[Contract]
    G --> H[Closing]

Tenant Screening

• Application collection
• Credit and background checks
• Income verification
• Reference validation
• Lease preparation

Regulatory Compliance

Regulation	Scope	Key Requirements
Fair Housing	Listings, showings	Non-discrimination, equal opportunity
Disclosure Laws	Property defects	Material fact disclosure
RESPA	Closing	Settlement disclosure, kickback prohibition
Landlord-Tenant	Rentals	Security deposits, eviction procedures

Prompt Templates

Property Recommendation

Recommend properties for {client_name}:
- Budget: {price_range}
- Location: {preferred_areas}
- Requirements: {must_haves}
- Preferences: {nice_to_haves}

Suggest best matches from MLS, highlight features,
and schedule showings based on availability.

Market Analysis

Provide comparative market analysis for:
- Property: {property_address}
- Type: {property_type}
- Size: {square_footage}
- Condition: {property_condition}

Analyze recent comparables, market trends, and
recommend listing price with supporting data.

---

This ontology is continuously updated based on real estate regulations and market practices.