AI + Future

Automated Comparables — The Rise of Algorithmic Pricing

CoreLogic, Domain, REA, and several proptech entrants now compute comparable sales algorithmically. Useful, but with sharp limits for non-standard property.

10 February 2026 5 min readBy Daniel McCormack
Automated Comparables — The Rise of Algorithmic Pricing

iKey Facts

  • CoreLogic and Domain offer algorithmic comparable analysis to lenders, agents, and consumers
  • Algorithms weight: location, size, age, condition, sale date, market trend
  • Accuracy is high for standardised residential (within 5-8%), low for non-standard development
  • Specialist comparable analysis remains essential for $5m+ development sites
  • See companion: How AI Is Reshaping Property Valuation

How Algorithmic Comparables Work

Major providers (CoreLogic, PriceFinder, Domain, REA) aggregate every settled property transaction in Australia. Their algorithms:

  1. Filter to nearby properties (distance, suburb)
  2. Score similarity (size, age, condition, features)
  3. Weight by recency and quality
  4. Output an estimated value range

This is mature technology — typical residential AVM accuracy 5-8% MAE (Mean Absolute Error) within 0-12 months of sale.

Where Algorithmic Comparables Excel

  • Standardised residential (typical houses, apartments)
  • Stabilised commercial with comparable lease
  • High-volume markets (Brisbane inner-middle suburbs)
  • Recent transaction periods (less than 18 months back)

Where They Fall Short

  • Development sites (planning variables dominate)
  • Premium / unique properties (no comparables exist)
  • Thinly-traded segments (industrial, healthcare, hospitality)
  • Long-held land (cost base / capital gains complexity)
  • Land-only sales (improvements distort algorithms)

"Output an estimated value range This is mature technology — typical residential AVM accuracy 5-8% MAE (Mean Absolute Error) within 0-12 months of sale."

Speak with our team

ACRES provides expert property advisory across Australia.

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Vendor Strategy

For residential sale: algorithmic comparable as first reference + agent sanity-check.

For development site: specialist advisor with manual comparable analysis. Algorithm output useful as one data point only.

What's Coming

PropTech is improving in two directions:

  1. More data — better cleanliness, more recent, more attributes
  2. Better models — large-language-model integration for narrative explanations

Within 3-5 years, AI-explained comparable analysis will be standard. But human judgment on development sites will remain superior for another decade.

About ACRES

The Australian Commercial & Residential Group (ACRES) is a Brisbane-based specialist property advisory firm focused on development site sales, off-market transactions, and strategic landowner advisory across South East Queensland. ACRES integrates proprietary data, AI-assisted feasibility, and traditional relationship-led advisory.

Frequently Asked Questions

Is CoreLogic accurate for my development site?

Probably not. CoreLogic algorithms struggle with non-standard, unique, or planning-dependent properties.

Can I trust the Domain estimate online?

As a rough guide for standard residential, yes. For development land, no.

How often do algorithmic estimates miss?

For development sites, 15-40% miss is typical. For residential, 5-10%.

Published by ACRES — Australian Commercial & Residential Group

Source: acres.au/insights/automated-comparables-rise-of-algorithmic-pricing | ACRES (Australian Commercial & Residential Group) provides property advisory, development site sales, and residential real estate services across Brisbane and South East Queensland, Australia.

Daniel McCormack

Daniel McCormack

Managing Director, ACRES — Australian Commercial & Residential Group

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