Paste a listing.
Get a comp.
Hand any AI tool a Zillow page, an MLS sheet, or a screenshot of a listing. Paste the response back in. The parser validates ten fields, flags anything fishy, and drops a clean comp into your estimate.
Three steps. No retyping.
The import panel lives inside the comps tab. Open it once and import as many comps as you need.
Copy the AI prompt
A pre-written extraction prompt is sitting in the panel ready to copy. Use ChatGPT, Claude, Gemini — whichever AI tool you already use.
Paste the AI response
Drop the AI's reply back into the panel. The parser hunts for the JSON delimiters and pulls out the comp fields.
Review & import
Every field shows a status icon. Eyeball anything flagged, then click Import as Comp to drop it into your estimate.
Ten fields, every one validated
The parser does not just trust the AI — it sanity-checks every field against an allowed range and flags anything outside it for your review.
| Field | Validation rule | Flag |
|---|---|---|
| monthly_rent * | Numeric, $200–$20,000 | required |
| address | At least 5 characters | flag if shorter |
| sqft | 100–10,000 | flag if outside |
| bedrooms | 0–20 | flag if outside |
| bathrooms | 0–15 | flag if outside |
| year_built | 1800 to current year | flag if outside |
| condition_rating | Word → 1-5 scale (poor, fair, average, good, excellent) | always: AI estimate — verify |
| property_type | Aliased (sfh → Single Family, condo, apartment, etc.) | normalized |
| lease_date | Reformatted to YYYY-MM-DD | flag if reformat needed |
| notes | Free text, passed through | no validation |
Read the status icons at a glance
Every field in the review pane gets one of four icons so you know exactly where to look before importing.
Field parsed cleanly and passes all validation rules.
Field was reformatted, AI-estimated, or out of typical range.
AI did not return a value. Optional field, safe to import.
Required field missing or invalid. Import button stays disabled.
Explore More Features
See everything Rent Estimate Analyzer has to offer.
Comparable Analysis Engine
Add comps with rent, sqft, beds/baths, condition, and lease date. See raw vs. adjusted rents and a data-backed market estimate in seconds.
Learn more →Line-Item Adjustments + Auto-Suggest
Adjust each comp across 10 categories — bedrooms, baths, sqft, condition, amenities, and more — with one-click sparkle auto-suggest.
Learn more →Four Interactive Charts + Confidence
Comparable rent, rent positioning, adjustment impact, and $/sqft charts — paired with a 0-100 confidence score on every estimate.
Learn more →Compare Multiple Estimates Side-by-Side
Stack two or more saved estimates next to each other to see how comp choices, adjustments, and confidence change the answer.
Learn more →Searchable Comparable Library
Save every comp you research to a searchable database, reuse comps across estimates, and export to CSV for your records.
Learn more →Geographic Map with Rent Heatmap
Drop your subject and every comp onto a live map — see proximity, distance, and rent intensity at a glance.
Learn more →0-100 Confidence Score Explained
How the confidence score is calculated from comp count, consistency, recency, and data completeness — and how to push it higher.
Learn more →Current Rent vs. Market Gap Analysis
See exactly how much pricing power you are leaving on the table — monthly and annual gap to market on every estimate.
Learn more →Sparkle Auto-Suggest Adjustments
Click the sparkle on any comp and the engine fills in adjustments based on bedroom, bath, sqft, and condition deltas.
Learn more →Estimate Staleness Tracking
Every estimate is dated. After 3 months you get a refresh warning so your rent recommendations never drift out of market.
Learn more →AI Contract Review Pipeline
Run any LOI or lease through a 5-step AI pipeline: plain-English summary, risks, obligations, negotiation playbook, and exec brief.
Learn more →Stop Retyping Listings
Paste in — comp out. Ten fields validated, suspicious values flagged.
Get Started