AI Scoring
How the AI evaluates every lead across five dimensions — and how to read the results.
AI Scoring
Every lead is analyzed by AI and scored across five dimensions. The scores, tags, and summary help you quickly prioritize which leads deserve the most attention.
The five scoring dimensions
| Dimension | What it measures |
|---|---|
| Distress Level | How much financial, legal, or physical stress the property is under. High distress means multiple problems piling up — violations, liens, delinquent taxes, etc. |
| Motivated Seller | How likely the owner is to be receptive to an offer. Considers factors like absentee ownership, duration of problems, and accumulating costs. |
| Repair Needed | The estimated scope of physical work the property needs. Based on violation types, permit history, and property condition indicators. |
| Investment Potential | How attractive the property is as an investment. Factors in market value, equity, location, and the gap between current condition and potential value. |
| Time Urgency | How time-sensitive the opportunity is. Upcoming deadlines (tax deed sales, court dates, violation compliance deadlines) increase urgency. |
Each dimension gets a score, and the AI provides a short explanation of its reasoning. You can expand the score breakdown on any lead to see the details.
AI tags
Along with scores, the AI assigns tags to each lead — short labels that highlight the most important characteristics. Tags are color-coded by category so you can scan them quickly.
Examples of tags you might see:
- High equity
- Absentee owner
- Multiple violations
- Tax delinquent
- Expired permits
- Motivated seller
Tags appear in the lead table, in the detail panel, and in the review queue — they're designed to help you triage quickly.
The AI summary
Each lead also gets a short written summary — a plain-language explanation of why this property showed up and what makes it interesting (or not). This is often the fastest way to understand a lead at a glance.
How to use AI scoring
The AI scoring is a starting point, not the final word. Here's how to get the most out of it:
- Sort by overall score to surface the best opportunities first.
- Read the summary for a quick take before diving into details.
- Check the reasoning if a score seems off — the AI explains its logic.
- Use tags for quick filtering — when creating campaigns, you can filter by AI tags to focus on specific characteristics.
- Trust your judgment — The AI works with the data available. Your local market knowledge, relationships, and instincts add context that no algorithm can replace.
Score updates
AI scores are calculated when a lead is first processed and may be updated as new data comes in. The "Last updated" timestamp on the AI insights section shows when the analysis was last run.