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As of 13 August 2026, AI can only partly set the right price for your product.
Most people should hand this to a purpose-built tool.
Can you do it?
15 minutesto a draft.
1 hourto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsThe supplied commercial data lists AI analytics tools, but does not provide a reliable price for a human pricing consultant.
If this goes wrong: you choose a price that reduces margin or suppresses demand, and the mistake may only become visible after sales data arrives.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 1 hour until you can act on the result.
How to actually do it
- Open a spreadsheet and create columns for product cost, packaging, fulfilment, payment fees, returns, VAT treatment, current price and competitor price.
- Gather your latest supplier, fulfilment, payment and returns figures, then enter each cost per unit or subscription period with its source.
- Collect comparable UK competitor prices, pack sizes, subscription terms and any visible delivery charges, and paste the links and the date checked into the spreadsheet.
- Add your existing sales evidence, including volumes, conversion data, discounts, repeat purchases and customer feedback, leaving unknown fields blank.
- Paste the completed table and the product, customer and commercial constraints into the prompt, then ask the chatbot to show all calculations and assumptions.
- Compare each proposed price against your spreadsheet, current price list and competitor evidence, correcting any calculation or VAT error before choosing a test price.
- Run a controlled price test through your normal sales channel, recording conversion, contribution, refunds and customer objections before changing the permanent price.
Prompt
Act as a pricing analyst for a UK business. Recommend a starting price for this product, but do not present it as certain or claim that it is the objectively right price. Product: [describe the product, pack size or subscription term, and what is included] Target customer: [describe the customer and use case] Sales channel: [for example, direct website, retailer, marketplace or sales team] Currency and VAT position: [state whether prices should include VAT and any relevant VAT assumption] Unit costs: [materials, manufacturing, packaging, fulfilment, payment fees, returns and other variable costs] Fixed costs or required contribution: [provide figures or state that they are unknown] Competitor prices: [list named competitors, comparable products, prices, pack sizes and links or dates checked] Existing evidence: [current price, sales volume, conversion rate, repeat purchase rate, customer feedback, discounts and test results] Commercial constraints: [minimum margin, stock position, launch deadline, positioning and any price ceiling] Use only the information supplied above. Identify missing inputs and label every assumption. Calculate the contribution and margin for each proposed price, showing the formula and treating unknown costs as unknown rather than inventing them. Give three price scenarios, explain the trade-offs, recommend a starting price or price range, and state what evidence would change the recommendation. Separate facts, calculations, assumptions and judgement. Finish with a simple UK price test plan that does not mislead customers. Do not invent competitor data, customer demand, legal requirements or market statistics.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot see private sales, cost or customer data unless you supply it, and it cannot know whether that data is complete.
- AI cannot establish willingness to pay from a spreadsheet alone; that requires customer behaviour, interviews or controlled tests.
- AI cannot reliably provide live competitor prices unless you give it current, checked sources.
- AI cannot choose the commercial trade-off between margin, growth, positioning and cash flow for you.
- The recommendation is not accountable for the result; your business carries the loss if the price is wrong.
What caps this at PARTLY: judgement under ambiguity, real time truth and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 1 |
| Total | 6 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT choose a price for my product?
- It can produce a reasoned starting price or price range from your costs, competitor evidence and sales data. It cannot know the objectively right price, so test the recommendation against real customer behaviour before adopting it.
- What information does AI need to price a product?
- Give it variable costs, VAT treatment, comparable competitor prices, your target customer, sales channel, current sales evidence and commercial constraints. Mark missing figures clearly, because the model may otherwise fill gaps with assumptions.
- Can AI check what competitors charge in the UK?
- AI can organise competitor prices that you provide and compare like-for-like products. You should open each source yourself and check the price, pack size, delivery charge and date because competitor pricing changes.
- Is AI pricing advice safe for a small business?
- It is useful for calculations and scenarios, but it is not professional advice and the decision remains yours. A serious pricing decision affecting borrowing, solvency or a regulated product needs an accountant or specialist pricing adviser.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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