Score property investment listings automatically with AI

AI scores every property listing on rental yield, growth, and risk, then sends you the top picks daily.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues; runs once per one per property listing.

Pattern: Parallel Split (2) · Synchronisation (3) · Multiple Instances without a priori Run-Time Knowledge (15)

flowchart TD trig(["scheduled listing pull"]):::trigtime s0["pull new property listings"]:::task s1["combine market and demographic data"]:::task s2[["AI scores each listing"]]:::mi s3[("log top picks to sheet")]:::store s4["send digest to team"]:::svc trig --> s0 s1 -->|"one per one per property listing"| s2 s2 --> s3 s3 --> s4 gx{"+ gather which data sets"}:::gate s0 --> gx p00["pull median price and yield"]:::task gx -->|"suburb market data"| p00 p10["pull population and income stats"]:::task gx -->|"demographic data"| p10 jn{"+ combine into profile"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"ranked investment property shortlist"/]:::out pay{{"faster confident investment decisions"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemA record or sheetEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsMessaging & NotificationsSpreadsheet & Database OpsResearch & Market IntelligenceAPI & Webhook IntegrationReal Estate & Property
Connects
ClaudeGoogle SheetsSlack

The problem it solves

Evaluating a property's investment potential means digging through rental yields, growth trends, and risk factors for every single listing, and doing that consistently across dozens of options is exhausting. Most investors end up relying on gut feel instead.

Who it fits

A real estate investor or agency evaluating rental property opportunities.

How it works

  1. Runs on a schedule and pulls new property listings from your target sites
  2. Gathers suburb market data like median prices, rental yields, and vacancy rates
  3. Combines this with demographic data such as population growth and income levels
  4. AI scores each listing from 0 to 100 with a rationale covering yield, growth, and risk
  5. Keeps only the top-scoring listings and logs them to a spreadsheet
  6. Sends a digest of the best picks to Slack or email
What you get

Top-scoring properties waiting in your inbox each morning

You get a daily shortlist of the most promising rental properties, scored and ranked by yield, growth, and risk.

What you get

A ranked shortlist of investment-worthy properties with AI reasoning, delivered as a daily digest.

What you need

An Anthropic Claude API key, a Google Sheets account, a Slack workspace, and a property data API subscription.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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