As of 13 August 2026, AI can only partly set the price for your new product.

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 1 hour until you can act on the result.

   How to actually do it

   1. Open a spreadsheet and list the product's unit costs, fixed costs, payment fees, delivery costs, discounts and any applicable taxes in GBP.
   2. Gather current prices and included features for genuinely comparable UK products from their live product pages, and paste the links and observations into the spreadsheet.
   3. Write down the target customer, sales channel, positioning, expected volume and business objective, separating known facts from assumptions.
   4. Paste the spreadsheet contents and the product details into an AI chat with the supplied prompt, then ask it to use only those figures and label unknowns.
   5. Compare the drafted arithmetic against your spreadsheet and the competitor pages, correcting any copied prices, omitted fees or mistaken product comparisons.
   6. Ask the model to recalculate cautious, central and ambitious scenarios after you correct the inputs, then record the recommended starting price and its assumptions.
   7. Run the proposed customer conversations, landing-page test or controlled offer test, compare the results with the stated decision rules, and choose the launch price yourself.

   Prompt

   Act as a pricing analyst for a UK business. Recommend a launch price for this product using only the information I provide and clearly label every assumption.
   
   Product: [describe the product, version and what is included]
   Target customer: [describe the buyer and user]
   Expected sales channel: [website, retailer, marketplace or other]
   Currency: GBP
   Variable cost per unit: [amount or unknown]
   Fixed costs that the price needs to contribute towards: [amount or unknown]
   Expected sales volume: [units over a stated period or unknown]
   Competitor prices and what each includes: [paste evidence and links]
   Our positioning: [budget, mainstream, premium or undecided]
   Business objective: [margin, volume, market entry, cash recovery or other]
   Any taxes, fees, discounts or delivery costs that affect the customer price: [details or unknown]
   Evidence about customer willingness to pay: [research, interviews, tests or unknown]
   
   Produce:
   1. A recommended starting price in GBP and a sensible price range, only where the evidence supports one.
   2. The arithmetic showing how the recommendation relates to unit costs, fees, discounts and expected volume. Do not invent missing figures.
   3. A comparison table of the supplied competitors, adjusted for meaningful differences in what they include.
   4. Three scenarios labelled cautious, central and ambitious, showing which assumptions change and what each scenario would mean.
   5. The five assumptions or missing facts that most threaten the recommendation.
   6. A low-cost validation plan using customer conversations, a landing page, or a controlled offer test. State what result would make us raise, lower or keep the price.
   7. A short final recommendation for the business owner, separating calculations from judgement.
   
   Do not present the price as certain, do not claim to know demand without evidence, and do not use data that I have not supplied or that you cannot cite.

   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.