What is AI property analysis?

AI property analysis uses artificial intelligence to evaluate a property's condition, layout, and features from a walkthrough video. RealtyLens processes the video through a 5-step AI pipeline to generate floor plans, room-by-room condition scores (1-10 scale), issue detection with repair cost estimates, and MLS-ready listing copy — all in under 5 minutes.

How does RealtyLens generate floor plans from video?

RealtyLens analyzes your walkthrough video to detect room transitions, doorways, and spatial relationships. The AI maps room adjacencies and connection types to generate an accurate spatial floor plan — no measuring tape or special equipment needed.

How accurate are the AI condition scores?

RealtyLens provides granular 1-10 condition ratings for every room, assessing walls, floors, ceilings, and fixtures individually. The AI detects cracks, water damage, wear patterns, and other issues with severity levels. While not a replacement for a licensed home inspection, these scores give agents a reliable preliminary assessment for listing preparation.

How long does a property analysis take?

The average analysis takes about 5 minutes from upload to complete report. You record a walkthrough video (typically 3-5 minutes), upload it to RealtyLens (1 minute), and the AI generates everything in approximately 3 minutes.

What does the AI property report include?

A RealtyLens report includes: AI-generated spatial floor plans, room-by-room condition scores (1-10 scale), feature detection (fixtures, appliances, finishes), issue tracking with severity levels and repair cost estimates, natural light assessment, MLS-ready listing copy with headline and highlights, value estimates, and target buyer profiles.

Can RealtyLens replace a home inspection?

RealtyLens is designed to complement — not replace — a licensed home inspection. It gives real estate agents a fast, detailed preliminary assessment for listing preparation, pricing strategy, and client conversations. For formal transactions, a licensed inspector should still be engaged for structural, electrical, and plumbing evaluations.

RealtyLens

for rentRealtyLens property overview

$1,450

3310 W Jackson St Unit 2

Phoenix, AZ, 85009

View more Phoenix, AZ property pages

3Beds

1Baths

823Sqft

$2$/sqft

Listing Notes

Amazing 3 bedroom, 1 bathroom apartment in Phoenix. Amenities included: central air and central heat. Utilities included: water. Is not pet friendly. Date Available: May 9th 2026. $1,400/month rent. $2,100 security deposit required. Please submit the form on this page or contact Genesee Piza to learn more. This property is managed by a responsible landlord using Avail landlord software.

Market Insights

Near nearby median0.0%

$2/sqft vs a nearby median of $2/sqft.

Nearby median$2/sqft

Nearby properties1

Property size823 sqft

0.0% versus the nearby median price per square foot.
Price history is limited, so current comps matter more than trend alone.
823 sqft creates a usable price-per-square-foot read.

Property Read

FreshnessVerification recommended

The page is useful for research, but the status and price should be verified before acting.

Market Position0.0% vs nearby

The property is close to nearby price-per-square-foot levels, so the decision will likely come down to condition and layout.

Price MovementInitial price point

Price history is still limited; review again as more market activity becomes available.

Diligence Read1 item to check

AI ReadinessReady to analyze

Assistant read

Generate a buyer-agent read of this listing — pricing, risks, comp check, and negotiation leverage. Takes a few seconds.

Generated from the facts shown on this page and nearby market data. Not a professional appraisal.

Listing Details

Days on market: 1 day
Last price change: No change recorded
Listed: May 11, 2026
Photos: 8 photos
Property type: apartment
Status: for rent

Photos

Price History

May 12, 2026Initial record

$1,450for rent

You can also find this listing on Realtor.com.

Listing data sourced from realtor.com. RealtyLens enriches and contextualises it for you, but the original listing lives on the source.