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Geographic Comp Map · Rent Heatmap

See your comps
on a real map.

Drop your subject and every comparable rental onto a live OpenStreetMap. Spot proximity clusters, see rent gradients, and click any pin to jump straight into its estimate.

SUBJECT $1.9k $1.9k $2.0k $2.1k $2.1k $2.2k $2.2k $2.4k $2.4k 3 430 Maple St 3bd/2ba · 1,460 sqft $2,200/mo
+
By Rent
$1.8k $2.5k
Click any pin

Every pin opens a tooltip

Hover or click any comparable on the map and the popup shows you the address, the rent, the bed/bath count, the condition rating, and a direct link back into the parent estimate. No tab-switching, no hunting through the comp library.

The subject property gets its own purple star pin so you can spot it instantly, even when twenty comps are clustered around it.

221 Pine Rd
0.4 mi from subject
$2,275
Bd / Ba
3 / 2
Sqft
1,475
Cond.
Good
In: Aggressive comp set Open Estimate →

Two ways to color the pins

Toggle between property mode (each property gets its own color) and rent mode (a green-to-red heat gradient). Same map, two completely different stories.

By Property

Default

Each property gets a unique pin color. Useful when you have multiple properties on screen and want to see which comps belong to which.

Maple Property Pine Property Oak Property Cedar Property

By Rent (Heatmap)

A green-to-red gradient based on each comp's rent. Spot rent gradients across blocks at a glance — the cheap pockets and the premium pockets.

$1,800 (low) $2,500 (high)

Filter the map. Find what fits.

Narrow by property and by rent range without leaving the map. The visible count updates as you go.

Filter by property

Isolate one property to focus on a single subject and its comps.

Filter by rent range

Type a min and a max rent to hide comps outside the band you care about.

Auto-clustering

When pins overlap, the map collapses them into a numbered cluster you can click to zoom in.

Unmapped comps still get their day

Any comp without a geocodable address shows up in a "Not Mapped" list directly below the map — same data, just no pin. Add a street address later and it joins the map automatically.

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.

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Line-Item Adjustments + Auto-Suggest

Adjust each comp across 10 categories — bedrooms, baths, sqft, condition, amenities, and more — with one-click sparkle auto-suggest.

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Four Interactive Charts + Confidence

Comparable rent, rent positioning, adjustment impact, and $/sqft charts — paired with a 0-100 confidence score on every estimate.

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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.

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Searchable Comparable Library

Save every comp you research to a searchable database, reuse comps across estimates, and export to CSV for your records.

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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.

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AI-Powered Comp Import

Paste a Zillow, Rentometer, or MLS listing and let the AI parse, validate, and import the comp in seconds — no retyping.

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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.

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Sparkle Auto-Suggest Adjustments

Click the sparkle on any comp and the engine fills in adjustments based on bedroom, bath, sqft, and condition deltas.

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Estimate Staleness Tracking

Every estimate is dated. After 3 months you get a refresh warning so your rent recommendations never drift out of market.

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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.

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See the Map for Your Properties

Pin clusters, rent heatmaps, click-through popups — all built from the comps already in your library.

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