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AI Property Match Scoring

Scores out of 100

Stop eyeballing hundreds of listings. AgentHub 360 scores every property — on-market, off-market and recommended — out of 100 against each buyer's brief, so the best-fit properties surface first.

How does AI match scoring work?

Every property in your pipeline is scored numerically out of 100 against a buyer's brief — suburbs, budget, property type, bedrooms, land and brief-specific criteria. Shortlisted, Recommended, Other and Off-Market properties can all be sorted Best Match First, so you present the right properties faster and justify recommendations with a transparent score.

How it works

  1. 1

    Capture the buyer's brief — suburbs, budget, property type and must-haves.

  2. 2

    AgentHub scores every candidate property against the brief, out of 100.

  3. 3

    Browse tabs for Shortlisted, Recommended, Other Properties and Off Market, sorted Best Match First.

  4. 4

    Scores update as the brief changes — tighten the budget or add a suburb and the ranking re-sorts.

  5. 5

    Share the top matches to BuyerHub for client feedback.

FAQs

AI Property Match Scoring — FAQs

Answer questions the way AI and buyers ask them.

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