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Day 24 · The Prompt SeriesLIVE

Rental Demand Check.

Vacancy rates, tenant profiles, infrastructure, school catchments, and proximity to employment all affect how quickly your investment rents, at what rate, and to whom. This prompt maps the demand picture before you assume the gross yield holds.

Why this matters

Why this matters

Gross yield is calculated on the assumption that the property rents at the assumed rent for 52 weeks per year. Neither assumption holds in practice. Rental demand varies by suburb, by street, by property configuration, and by the time of year you are trying to lease the property.

An investor who buys a 2-bedroom apartment in a suburb whose tenant profile is predominantly families discovers this when their property sits vacant for 8 weeks because the families they hoped to attract need 3 or 4 bedrooms. An investor who buys in a suburb with good headline vacancy statistics but poor proximity to public transport or employment discovers it when their tenants move for the commute.

The rental demand check is not a substitute for speaking to a local property manager — who knows the current market better than any database. It is the preparation work you do before you call the property manager, so the conversation is specific rather than generic.

**Real case study summary:** An investor was targeting a suburb in outer Brisbane based on a gross yield of 5.4% at the asking price. The suburb’s overall vacancy rate statistics looked healthy. A rental demand check surfaced a specific risk: the suburb’s rental demand was heavily weighted toward 3 and 4-bedroom houses, driven by a family demographic with school-age children. The property she was considering was a 2-bedroom unit — a property type with significantly thinner demand in that suburb than the overall statistics suggested.

A local property manager confirmed this when called: 2-bedroom units in that suburb typically sit vacant for 6 to 10 weeks, not the 2 to 3 weeks consistent with the overall vacancy rate. Adjusted for realistic vacancy, the net yield fell from 5.4% to approximately 4.1% — which changed the investment case significantly.

The gross yield assumes the property is always rented. The net yield is where reality lives.

What you're building

What you're building

The end result

A suburb rental demand scanner analyzing: local vacancy rate trends, demographic tenant profiles, proximity to employment and education hubs, and weekly rent sustainability for the target property configuration.

What you need

Claude (free tier works), suburb postcode, property configuration (e.g. 2-bed unit), SQM vacancy rate, and median rent figures.

Step 24

Copy the prompt.Paste your details.Analyze the output.

Paste the prompt below into Claude or ChatGPT. Replace the bracketed fields with your specific property or portfolio details.

i.Open Claude at claude.ai or ChatGPT at chatgpt.com. Free tier works fine for this prompt.Browser
ii.Copy the full Day 24 prompt below and paste it into a fresh chat.Chat
iii.Replace the bracketed details with your actual property and financial information.Edit
iv.Send. Read the structured output sections carefully.Output
Done. The structured analysis is in front of you.
Heads up

Always verify the AI's assumptions with qualified professionals. This output is a first-pass educational tool, not advice.

01
The Prompt

Rental demand scanner

Suburb rental vacancy and tenant profile check · yield validation

Copy & Paste
You are an Australian property research assistant helping an investor assess rental demand for a specific suburb and property type before committing to a purchase. Rental demand is not uniform — it varies by suburb, property type, configuration, and proximity to employment and amenity. Help me assess it honestly.

PROPERTY DETAILS:
- Suburb and state: [details]
- Property type: [house / townhouse / apartment / unit]
- Configuration: [bedrooms, bathrooms]
- Target weekly rent: $[amount]
- Asking price of property: $[amount]
- Implied gross yield: [calculate as: weekly rent × 52 / purchase price × 100]

Return a rental demand assessment with these 5 sections:

## 1. WHO RENTS IN THIS SUBURB AND WHY
- Describe the likely tenant profile for this suburb: families, young professionals, students, essential workers, retirees, or mixed
- What is driving rental demand in this suburb: proximity to CBD, employment centres, universities, hospitals, transport, schools
- Is demand driven by a single major employer or institution? If so, what is the risk if that employer contracts?
- Has the area seen significant population growth that is driving rental demand, or is demand stable or declining?
- Is this a suburb where tenants want to live long-term, or is it a transitional suburb with high tenant turnover?

## 2. VACANCY RATE SIGNALS
- Describe the vacancy rate signal for this suburb and property type if known from available data
- Is this suburb typically at, above, or below the national vacancy rate average (approximately 1–3% for a healthy rental market)?
- What does the current listing count on realestate.com.au and domain.com.au suggest about vacancy? (Note: I should check this myself as it changes weekly)
- How quickly are rental properties being leased in this suburb currently? Days-on-market for rentals is a useful indicator.
- Flag: vacancy rate data for individual suburbs can be difficult to obtain accurately through AI. A local property manager is the best source of current vacancy data for a specific suburb and property type.

## 3. SUPPLY PIPELINE RISK
- Is there a significant new apartment or housing supply pipeline in or adjacent to this suburb that could increase rental stock and put downward pressure on rents or upward pressure on vacancy?
- Are there any build-to-rent developments, social housing projects, or large infill developments approved or under construction in this suburb?
- How does the rental supply pipeline compare to population growth and household formation trends in this area?

## 4. RENT AND YIELD ASSESSMENT
- Is my target weekly rent realistic for this suburb and configuration based on available data?
- Provide a rent range for this suburb and configuration: low $X to high $X per week
- At my asking price and the low, mid, and high rent estimates, what is the implied gross yield range?
- How does this compare to the broader market: what is a reasonable gross yield for this type of property in this market?
- The net yield reality: after property management (8%), council rates, water, insurance, and vacancy allowance (4%), what does the net yield look like?
- Flag: yields above 7% in metropolitan areas often indicate higher risk (regional, high-density, or oversupplied). Yields below 3% in capital cities indicate negative gearing is almost certain and income return is minimal.

## 5. QUESTIONS FOR A LOCAL PROPERTY MANAGER
Generate 8 specific questions I should ask a local property manager before I buy this property. A local property manager is the best current source of rental demand, vacancy, tenant profile, and rent level data for a specific suburb and property type.

---
Educational analysis only. Not financial or investment advice. Rental demand, vacancy rates, and rent levels are subject to rapid change and vary significantly by location, property type, and market conditions. Verify all rental assumptions with a local property manager and current listing data before making any investment decision.
Run before buying an investment. Confirm vacancy trends for your specific configuration.
A real run
Case Study

An investor was targeting a suburb in outer Brisbane based on a gross yield of 5.4% at the asking price. The suburb’s overall vacancy rate statistics looked healthy. A rental demand check surfaced a specific risk: the suburb’s rental demand was heavily weighted toward 3 and 4-bedroom houses, driven by a family demographic with school-age children. The property she was considering was a 2-bedroom unit — a property type with significantly thinner demand in that suburb than the overall statistics suggested.

A local property manager confirmed this when called: 2-bedroom units in that suburb typically sit vacant for 6 to 10 weeks, not the 2 to 3 weeks consistent with the overall vacancy rate. Adjusted for realistic vacancy, the net yield fell from 5.4% to approximately 4.1% — which changed the investment case significantly.

Step 04 · Refine

Your first run is fine. Your fifth is sharp.

Tune 01

Calibrate with SQM vacancy data

Enter the latest monthly suburb vacancy rate from SQM Research to confirm if the rental market is tightening or oversupplied.

Tune 02

Match the exact property configuration

If the suburb has high demand for houses but low demand for units, ensure the prompt isolates your specific property type.

Tune 03

Cross-reference with school catchments

Verify if the property sits in a highly sought-after public school zone, which typically drives strong tenant demand.

Save it

Save this rental demand checker in your Claude Project. Keep it updated for each postcode in your search area.

The honest bit

What it still gets wrong.

i.

Vacancy rate is a suburb average

A healthy 1.5% suburb vacancy rate can mask a 10% vacancy rate for high-density apartments on the main road. Match the exact property type.

ii.

Demographic shifts take years

Infrastructure announcements (like new train stations) take 5-10 years to impact tenant demand. Do not overpay for future promises.

iii.

School catchment borders change

State education departments redraw public school catchment boundaries annually, which can instantly remove a premium tenant drawcard.

iv.

Rental appraisals are optimistic

Agent rental appraisals are designed to sell the property, not lease it. Verify rents with independent local property managers.

The Workflow

How this stacks.

Day 24 scans tenant demand. Day 05 screens suburb risk. Day 04 stress-tests property cash flow. Run them to secure high occupancies.

The week three vision

Before you buy an investment unit.

You'll have verified vacancy trends for the exact configuration.

You'll have a clearer read on whether the tenant demographic matches the property type and whether SQM vacancy data supports your yield assumptions — so you can pressure-test the rental picture with a local property manager before you rely on it.

Coming next
25
Day 25 · live now

Loan structure check

Mortgage structure and tax-deductibility checklist · offset vs redraw

Read Day 25