As of 13 August 2026, AI can only partly set your holiday let nightly rate.

What to actually do

1. Use a tool built for this

   The route this page recommends

2. Do it yourself

   Second choice

   A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

   How to actually do it

   1. Open your booking platform, pricing calendar and accounts records, then gather recent booking dates, nightly rates, occupancy, cleaning costs, platform fees and the minimum profit you require.
   2. Copy a small set of current comparable listings from the same area, property type and capacity, including their available dates, nightly rates, minimum stays and extra charges.
   3. Add known local events, school holiday periods, access constraints and any dates when you cannot host, then paste all of this into the prompt's bracketed sections.
   4. Ask the chatbot to produce a lower, base and higher rate for each relevant date range, while requiring it to flag missing information instead of filling gaps.
   5. Open the comparable listings and your booking calendar again, and compare each recommendation with current rates, actual past bookings, costs and your minimum acceptable profit.
   6. Choose the rate yourself, then enter it into your booking platform and check that minimum stays, discounts, cleaning charges and blocked dates have not changed accidentally.

   Prompt

   Act as a pricing analyst for my UK holiday let. Recommend a nightly rate for the dates and property described below, but do not publish or present the recommendation as certain. Use only the information I provide, and label every missing input that could materially change the answer.
   
   Property and market:
   - Location: [town or area]
   - Property type, capacity and key features: [details]
   - Target guests: [details]
   - Available dates: [dates or date ranges]
   - Minimum and maximum acceptable rates: [amounts in pounds, or say unknown]
   - Cleaning, platform and other per-booking costs: [amounts in pounds]
   - Fixed costs and required profit: [amounts in pounds or monthly target]
   - Current cancellation and minimum-stay rules: [details]
   
   Evidence:
   - My historic bookings, occupancy and nightly rates: [paste table or spreadsheet summary]
   - Current comparable listings and their dates: [paste table with links if available]
   - Known local events, school holidays or unusual demand factors: [details]
   
   First, identify gaps and contradictions. Then produce:
   1. One recommended nightly rate in pounds for each relevant date range.
   2. A lower rate, base rate and higher rate, with the conditions that justify each.
   3. The assumptions and calculations behind the recommendation.
   4. A minimum rate below which I should not accept a booking, based only on the costs and profit target supplied.
   5. A short list of facts I must check manually before publishing.
   Do not invent competitor data, demand forecasts, costs, events or booking history. Do not use generic market averages as if they were facts. State clearly where the recommendation is judgement rather than calculation.

   Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

3. Hand it to a person

   The distant third

   A person who owns the outcome does this end to end, worth it when the failure is dear.