One input. Full property context.
Enter an address or Zillow URL. CompRight gathers subject details, listing photos, sale records, nearby comps, school context, neighborhood signals, and market data into one valuation workspace.
AI-Powered Comparable Sales Analysis
Real Estate Valuation,
Built from the Evidence Up.
CompRight turns property data, listing photos, school and neighborhood context, and comparable sales into an explainable home value report—with selected comps, adjusted values, condition signals, and a clear valuation narrative.
Free starter reports · No credit card required
Built to connect the data that drives value:
- Zillow
- Apify
- Gemini
- MLS
Phase 01 · Discover
Find the comps that actually matter.
CompRight goes beyond a simple radius search. It weighs same-street sales, tract and neighborhood boundaries, HOA or community relationships, school attendance zones, sale timing, property type, size, condition, lot, features, and data quality to surface the comps most likely to explain the subject's value.
It keeps exceptional nearby comps when they matter, filters weak matches when they do not, and gives every selected comp a reason.
Why CompRight
One pipeline. Three valuation advantages.
AI cleans the messy records.
Gemini enrichment fills missing context, normalizes inconsistent property data, flags weak records, and helps remove misleading comps before they affect the estimate.
Photos become condition evidence.
Vision AI identifies upgrades, finishes, layout, deferred maintenance, and buyer-visible features so condition is supported by evidence—not guesswork.
Phase 02 · Enrich
Turn messy listing data into a clean valuation file.
Real estate data is incomplete, inconsistent, and noisy. CompRight combines scraped listing data, Gemini enrichment, and comparable-sale logic to normalize records, fill missing context, remove weak matches, and prepare every comp for adjustment.
Beds, baths, property type, sale records, photos, remarks, schools, location signals, and neighborhood context all become part of one structured valuation dataset.
- Normalize records
- Fill missing context
- Remove weak comps
The Gemini Enrichment
The Context Behind the Comp.
Comparable sales only make sense with the right context. CompRight uses AI enrichment to surface school quality, neighborhood characteristics, location signals, market context, property notes, and comp-specific details that raw listing data often misses.
- Schools
- Neighborhood
- Market Signals
- Property Notes
- Comp Context
Phase 03 · Analyze
See the Upgrades. Justify the Value.
Listing photos become valuation evidence. CompRight identifies condition, finishes, upgrades, deferred maintenance, layout, and buyer-visible features—then turns those observations into structured signals that can support the final report.
Updated kitchens, dated bathrooms, premium flooring, exterior condition, pools, views, patios, and maintenance issues are captured as evidence instead of buried in a photo gallery.
- Detect upgrades
- Score condition
- Support adjustments
The Adjustment Logic
Explainable Adjustments.
Every comp gets adjusted for a reason you can explain.
CompRight compares each selected sale to the subject across timing, location, size, lot, property type, condition, quality, features, school and neighborhood context, and data reliability. The result is not a black-box number—it is a traceable path from raw sale price to adjusted comp value.
Time
Market movement is applied carefully, including stronger support for exceptional older comps when local evidence exists.
Location
Same street, same tract, HOA/community fit, school context, and neighborhood quality help separate true comps from nearby noise.
Condition
Photo-based signals identify upgrades, finishes, deferred maintenance, and buyer-visible quality differences.
Similarity
Size, beds, baths, lot, pool, garage, layout, property type, and sale reliability are weighed before a comp earns influence.
Evidence
Each adjustment is tied back to data, AI enrichment, photo signals, or comp-specific reasoning.
Confidence
CompRight shows how strong the valuation is based on comp quality, agreement, and available evidence.
Phase 04 · Deliver
A valuation report you can defend.
CompRight delivers more than a price estimate. It produces a report-ready valuation with selected comps, adjusted values, confidence scoring, school and neighborhood context, market notes, photo-supported condition evidence, and a clear narrative explaining how the final value was derived.
Two report modes. Same evidence-first foundation.
Standard Valuation Report
A clean comp-backed valuation report with subject details, selected comparable sales, adjusted values, confidence scoring, methodology, maps, schools, neighborhood context, and value reconciliation.
AI-Enhanced Report
Everything in the standard report, plus AI photo condition analysis, visible upgrade and maintenance signals, photo-supported value positioning, AI-enhanced reconciliation, negotiation insights, and richer plain-English explanations.
Keep every valuation organized from first search to final report.
CompRight gives each property its own workspace, so you can compare comps, refine the analysis, review location context, save your work, and regenerate reports when the valuation changes.
Saved Analyses
Every valuation is saved automatically, so you can rename projects, revisit past work, and continue without starting over.
Comp Control
Filter, include, exclude, and refine comparable sales while keeping the valuation logic clear and traceable.
Map Intelligence
Review rich map pins, full-screen previews, and Street View context to understand location quality at a glance.
Report Library
Access saved reports, detect analysis changes, and regenerate a fresh report when the underlying valuation updates.