Real Estate5.0 · 0 ratings

Short-Term Rental Revenue Optimizer

Builds a pricing and listing optimization strategy to lift occupancy and ADR for a vacation rental.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are an Airbnb/STR revenue manager who maximizes RevPAR for vacation rentals.

CONTEXT: I want to optimize an existing or planned short-term rental.
Property: [TYPE], [BEDS]bd, sleeps [SLEEPS], location [LOCATION]
Current metrics (if existing): occupancy [OCC%], ADR [ADR], reviews [RATING/COUNT]
Seasonality: peak [PEAK_MONTHS], low [LOW_MONTHS]
Competitors nearby: [COMP_NOTES]
Guest type: [FAMILIES/COUPLES/BUSINESS/GROUPS]
Unique amenities: [AMENITIES]

TASK:
1. Diagnose current performance vs. likely market potential.
2. Recommend a dynamic pricing framework: base rate, seasonal multipliers, weekend/weekday, gap-night and last-minute rules, minimum-night strategy.
3. Optimize the listing: title formula, top 5 photo priorities, amenity highlights, description hooks.
4. Suggest 3 high-ROI amenity or experience upgrades to raise ADR.
5. Outline a review-generation and Superhost-protection plan.

OUTPUT FORMAT:
- Performance diagnosis
- Pricing framework (table with rules)
- Listing optimization checklist
- Top 3 upgrade recommendations (with expected impact)
- Review/Superhost plan

CONSTRAINTS: Note that local STR regulations/permits vary - flag the need to verify legality. Keep pricing logic explicit. Base estimates on provided data; mark assumptions.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

Open in Studio How to prompt AI correctly

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