Comp research for listing agents
Price it right.
Win the listing.
Scored comps, market-calibrated adjustments, and three pricing scenarios for any address, in minutes.
Trusted by agents at
The pricing problem, in plain sight
Every listing appointment comes down to one number, and most agents still build it by hand: pulling sheets, cropping photos, doing adjustment math at midnight.
Legacy CMA tools moved the same busywork to a different screen. They need an MLS login, leave the adjustments to you, and stop short of the list price.
CMAGPT was built for the moment the seller asks “why this number?” Scored comps, calibrated adjustments, and a pricing strategy, with the math on the page.
Under 2 min
from address to analysis
What used to take an evening of spreadsheets
9 factors
on every comp
Distance, size, price, layout, age, recency and more, scored out of 100
3 scenarios
for every conversation
Aggressive, market, aspirational, each with expected days on market
50 states
one search away
Closed prices from listing data, verified in 11 of 12 non-disclosure states
No MLS membership required.
Everything you need to price right
One search returns scored comparables, the adjustments between them, and the number they point to. Each piece feeds the next, so the report never contradicts itself.
Adjustments that make sense, not guesswork
Market-calibrated dollar adjustments for sqft, beds, baths, age, lot and features, each with its reasoning.
Every comp scored and ranked
A 100-point score across nine market factors, and the full matrix goes in the report so sellers see why these comps.
Show sellers exactly what they're up against
Active listings at your price point, days on market by bracket, inventory months, and the gap between asking and sold.
Win the “but Zillow says” conversation
The online estimate against your comp-backed number, plus how far it missed on every comparable in the report.
What the seller actually walks away with
Net proceeds for every pricing scenario: sale price, commission, closing costs, net.
A 20-page report with your name on it
Branded cover with your headshot and license, a cover letter, per-comp photo pages, and your name in every footer.
How it works
Three steps. No spreadsheets.
Under two minutes end to end
01
Enter the address
Any US address, with autocomplete. Add context the data can't see: renovations, condition, intangibles.
02
Review scored comps
Active listings and recent sales scored by distance, size, price, layout, age and recency, with real listing photos.
03
Get your analysis
Calibrated adjustments, three pricing scenarios, a competition table, and days-on-market by bracket.
The deliverable
A pricing strategy your seller can follow.
Every analysis ends in the conversation that wins the listing: what the home is worth, where to price it, and how long it should take to sell, with the comps behind every number.
View the sample reportPricing Strategy
Three approaches for the listing appointment
Aggressive
$655,000
At $655,000, or 4% below the $682,000 best estimate, the price undercuts all six adjusted indications and should concentrate showings into the first two weekends.
The $655,000 price is below the lowest adjusted indication of $668,000 at 3105 Aspen Glen Lane. The 14-22 day expectation is materially faster than the 27-day selected-comp average.
Market
$682,000
At $682,000, buyers should view the home as market-aligned, with standard negotiation rather than immediate multiple-offer pressure.
The $682,000 price matches the weighted best estimate and sits between the $676,000 and $688,000 adjusted indications of the two closest sold comps. The 22-33 day expectation brackets the 27-day selected-comp average.
Aspirational
$716,000
At $716,000, or 5% above the $682,000 best estimate, buyers are likely to negotiate and may wait for a price reduction after 45-60 days.
The $716,000 price exceeds all six adjusted indications and the $710,000 high indication. The 41-68 day expectation exceeds both the 27-day comp average and the 33-day average in the $700K-$750K bracket.
Estimated Market Value
$682,000
Price Positioning
The six adjusted indications are $688,000 at 2204 Ravenwood Drive after a +$9,000 adjustment, $676,000 at 4517 Copper Creek Cove after a +$21,000 adjustment, $691,000 at 2312 Bluff Bend Drive after a -$24,000 adjustment, $682,000 at 6408 Marble Falls Road after a -$30,000 adjustment, $668,000 at 3105 Aspen Glen Lane after a +$27,000 adjustment, and $696,000 at 2907 Wildrose Trail after a -$33,000 adjustment. The estimated value band is $655,000 to $710,000, with a weighted best estimate of $682,000 that emphasizes the 4 sold comparables over the 2 active listings. The $682,000 estimate sits below the $707,000 average asking price of the 14 active listings and 1.5% above the $671,750 average of recent sales. The suggested list price is $682,000, which aligns with the Market scenario and the 3.4-month supply level.
Rental estimate: $3,450/mo ($3,105 – $3,795)
Recommended List Price
Where to price, and how long it should take to sell
Suggested List Price
$682,000
Range $672,000 – $692,000
Estimated Time to Sell
22-33 days
High confidence
The selected comparables averaged 27 DOM, and homes in the $650K-$700K bracket averaged 24 days versus 33 days above $700,000. Listing at $682,000 keeps the home under the $700,000 DOM cliff and below both active competitors at $715,000 and $729,000, supporting a contract within five weeks at or near ask. The 3.4 months of supply supports normal negotiation within a 22-33 day exposure period.
Estimated Seller Net Proceeds
What each pricing scenario could put in the seller's pocket
| Aggressive | Market | Aspirational | |
|---|---|---|---|
| Sale price | $655,000 | $682,000 | $716,000 |
| Commission (est. 5.5%) | −$36,025 | −$37,510 | −$39,380 |
| Closing costs (est. 1.5%) | −$9,825 | −$10,230 | −$10,740 |
| Estimated net | $609,150 | $634,260 | $665,880 |
Estimates only. Excludes mortgage payoff, repairs, concessions, and prorations. Actual commission and closing costs vary by agreement and location.
Three pricing scenarios →
Aggressive, market, and aspirational, each with a projected timeline and the comp-backed reasoning.
A defensible number →
Weighted market value with a low to high range, built from adjusted sold and active comps.
Where to list, and why →
A recommended list price, expected days on market, and positioning against every comp.
New · Rent Analysis
Sell it or rent it? Answer both.
For investor clients and owners weighing a rental: what the home would rent for, built from comparable rentals nearby, with each rental's earlier listings, the local rental market and a gross yield, in a branded report.
Example · 4 bd · 2 ba · 2,400 sq ft
Estimated monthly rent
$2,850/mo
Range $2,650 – $3,050
From 5 similar homes listed for rent within 2 miles, each adjusted for size.
Gross yield
6.8%
Median days listed
18
Rental 1 · 0.6 mi away · listed 9 days
Asking $2,795/mo · Adjusted $2,870/mo (+$75 for size)
Earlier listing: $2,700, off the market after 16 days
A rent estimate you can defend
A monthly rent and range from the closest-matching rentals nearby, each adjusted for size, every one shown.
Rental comps with a history
Photos, days listed and rent cuts, plus what each rental's own record shows about its past listings.
The market and the yield
Supply, days listed, rent cuts and rent by bedroom count, with a gross yield on the price.
Why agents switch
Built to fix what legacy CMA tools get wrong.
Comp adjustments
CMAGPTAutomatic, market-calibrated, with dollar reasoning per comp
LegacyManual, line by line, every comp
Recommended list price
CMAGPTA defensible number, plus three pricing scenarios
LegacyLeft for you to work out
Seller net sheet
CMAGPTNet proceeds for every scenario, built in
LegacyNot included
Zestimate rebuttal
CMAGPTAutomated valuation analysis in every report
LegacyBuild it yourself
Time to a finished report
CMAGPTAbout a minute
Legacy30 to 45 minutes
MLS membership
CMAGPTNot required
LegacyRequired
Comparison reflects common capabilities of traditional MLS-based CMA software. Details vary by product.
From agents
Fast to run. Easy to use. Accurate where it counts.
“Typed in the address on my way out the door and had a full CMA before I finished my coffee. What used to eat an hour of my morning now takes under five minutes, and the report looks better than what I was building by hand.”
Amanda R. · Broker, Keller Williams · Austin, TX
“The adjusted values came within $4K of the appraisal on my last two listings. When the appraiser's number confirms the CMA you presented three weeks earlier, sellers stop second-guessing you.”
Marcus C. · Team Lead, eXp Realty · Phoenix, AZ
“There's no learning curve. Address in, comps picked, report out. I had my assistant running CMAs on day one with zero training.”
James M. · Senior Agent, RE/MAX · Seattle, WA
“Adjustments used to intimidate me. The report shows the math line by line, so I can defend every number I present. Two years in and I'm winning listings against veterans because my data is better organized than theirs.”
Sofia L. · Sales Associate · Orlando, FL
“A seller called at 4pm wanting to meet that evening. I walked in two hours later with scored comps, real listing photos, and three pricing scenarios. The other agent showed up with a Zestimate printout. Got the listing.”
Tyler B. · Listing Agent · Denver, CO
“Typed in the address on my way out the door and had a full CMA before I finished my coffee. What used to eat an hour of my morning now takes under five minutes, and the report looks better than what I was building by hand.”
Amanda R. · Broker, Keller Williams · Austin, TX
“The adjusted values came within $4K of the appraisal on my last two listings. When the appraiser's number confirms the CMA you presented three weeks earlier, sellers stop second-guessing you.”
Marcus C. · Team Lead, eXp Realty · Phoenix, AZ
“There's no learning curve. Address in, comps picked, report out. I had my assistant running CMAs on day one with zero training.”
James M. · Senior Agent, RE/MAX · Seattle, WA
“Adjustments used to intimidate me. The report shows the math line by line, so I can defend every number I present. Two years in and I'm winning listings against veterans because my data is better organized than theirs.”
Sofia L. · Sales Associate · Orlando, FL
“A seller called at 4pm wanting to meet that evening. I walked in two hours later with scored comps, real listing photos, and three pricing scenarios. The other agent showed up with a Zestimate printout. Got the listing.”
Tyler B. · Listing Agent · Denver, CO
“The numbers just hold up. Every comp comes with a score and a line-by-line adjustment breakdown, so when a seller pushes back the answer is already on the page.”
Rachel K. · Listing Agent, Compass · Miami, FL
“I ran the same property through my old CMA software and this, side by side. This was faster, the comps were better matched, and the estimate landed right where the home actually sold six weeks later.”
David P. · Broker Associate · Nashville, TN
“I run one same-day for every appointment, so I'm always walking in with the freshest data in the room. Twice this year a competing agent presented comps that had gone stale. The sellers noticed.”
Marcus D. · Realtor, Keller Williams · Austin, TX
“Rural comps are usually a guessing game. The scoring engine tells me which distant sales are actually relevant instead of just the closest ones, and the adjustments have been dead-on for my market.”
Jake T. · Agent, Century 21 · Bozeman, MT
“She was set on $475K because her neighbor got it. I turned the screen around: here's what happens at $475K, here's the days-on-market data for her bracket. She chose $449K on the spot. Sold in 8 days, over ask, with three offers.”
Priya S. · Senior Agent, Sotheby's · Scottsdale, AZ
“The numbers just hold up. Every comp comes with a score and a line-by-line adjustment breakdown, so when a seller pushes back the answer is already on the page.”
Rachel K. · Listing Agent, Compass · Miami, FL
“I ran the same property through my old CMA software and this, side by side. This was faster, the comps were better matched, and the estimate landed right where the home actually sold six weeks later.”
David P. · Broker Associate · Nashville, TN
“I run one same-day for every appointment, so I'm always walking in with the freshest data in the room. Twice this year a competing agent presented comps that had gone stale. The sellers noticed.”
Marcus D. · Realtor, Keller Williams · Austin, TX
“Rural comps are usually a guessing game. The scoring engine tells me which distant sales are actually relevant instead of just the closest ones, and the adjustments have been dead-on for my market.”
Jake T. · Agent, Century 21 · Bozeman, MT
“She was set on $475K because her neighbor got it. I turned the screen around: here's what happens at $475K, here's the days-on-market data for her bracket. She chose $449K on the spot. Sold in 8 days, over ask, with three offers.”
Priya S. · Senior Agent, Sotheby's · Scottsdale, AZ
Coverage
All 50 states,
one search away
Comparable sales, active listings, and market statistics from MLS-sourced listing data, pulled fresh on each search. That includes non-disclosure states: sold prices come from listing data, not county records, verified in 11 of the 12.
Stop guessing.
Walk into every listing appointment with comps, pricing scenarios, and market proof.
Starter, Pro, and Premium plans. Cancel anytime.