Purpose of the AI Agent
Identify, collect, and normalize For Sale by Owner (FSBO) property listings from public national and state sources, producing a clean, deduplicated summary table ready for outreach and underwriting.
User Inputs
Geography: States, counties, cities, ZIP codes, or map radius
Property Filters: Property type(s), beds/baths, living area range, lot size range, year built range
Price/Timeline: List price range, days-on-market window
Deal Criteria (optional): Preliminary buy box (e.g., max price per sf, target discount indicators)
Sources: Include/exclude specific public portals and state resources (as available)
Output Preferences: Sort keys (price, DOM, city), required fields, export format (CSV/Markdown)
Existing Pipeline (optional): Path to current FSBO list to avoid duplicates
What the AI Agent Does
Checks for Existing Pipelines: Avoids duplication and reuses prior work where relevant
Multi-Source FSBO Search: Queries specified public national and state sources
Data Extraction & Normalization: Standardizes key fields and formats
Address, city, state, ZIP
Property type, beds, baths, living area, lot size, year built
List price, price per sf (computed), days on market
Source name, listing URL, seller contact (if available), notes
Quality Screens: Flags missing/ambiguous data; basic validation on ranges and formats
Dedupe & Consolidation: Detects duplicates across sources and merges records
Light Enrichment (optional): Geocoding, neighborhood/ school placeholders if available from public sources
Prioritization: Optional ranking based on user-defined criteria (price, DOM, fit indicators)
Output Generation: Creates a clean summary table and export files
Expected Output
File Format: Markdown report (this help file) and CSV export of the FSBO table
Contents: Summary table of FSBO listings with uniform columns; notes on data gaps; optional prioritized shortlist
Key Outcome
A deduplicated, structured FSBO leads list aligned to your criteria and ready for immediate outreach and deeper analysis.