As of 13 August 2026, AI can only partly find your ideal UK customer.

What to actually do

1. Hand it to a person

   The route this page recommends

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

2. Use a tool built for this

   Second choice

3. Do it yourself

   The distant third

   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 document and write down your offer, price, delivery area, capacity, business goal and the types of customers you can realistically serve.
   2. Export or copy anonymised evidence from your CRM, sales records, website analytics, reviews and customer-support notes, removing names, contact details and other unnecessary personal data.
   3. Paste the business details and anonymised evidence into the prompt, adding links to any UK market or industry sources you want the model to use.
   4. Ask the model for three candidate segments, their evidence, assumptions and comparison scores, then save the output with the date 2026-08-13.
   5. Compare each proposed segment against your actual order values, repeat purchases, conversion records and customer complaints, correcting any claim that the records do not support.
   6. Ask five to ten customers or recent prospects the interview questions, record their answers with consent, and add the anonymised findings to the model for a revised recommendation.
   7. Run the proposed test with a defined audience and channel, then compare the result with your existing performance before choosing a primary customer segment.

   Prompt

   Act as a cautious UK market-research analyst. Help me identify and test my ideal customer, but do not present guesses as facts.
   
   Business: [describe the business, product or service]
   Offer and price: [describe what is sold and at what price]
   Current customers: [describe known customer types and include anonymised sales or retention evidence if available]
   Geography: [UK-wide or specific nations, regions, towns or postcodes]
   Business goal: [for example, increase qualified leads, improve retention or enter a new market]
   Constraints: [budget, capacity, channels, exclusions and legal or ethical limits]
   Evidence available: [paste anonymised customer data, survey results, sales notes, website analytics or source links]
   
   Produce:
   1. Three candidate customer segments, each with needs, buying trigger, likely objections, relevant UK context, reachable channels and evidence for the claim.
   2. A comparison table scoring each segment against willingness to pay, ease of reaching, fit with my offer, likely repeat value and confidence in the evidence. Use qualitative scores unless I provide a valid numerical basis.
   3. A recommended primary segment and a secondary segment, with the recommendation separated clearly from facts.
   4. The assumptions that could make the recommendation wrong and the evidence needed to test each one.
   5. Five customer-interview questions that test the problem and buying behaviour without leading the respondent.
   6. A small, ethical test plan using existing channels, with a clear success measure and a stop condition.
   
   Use UK spelling and do not invent market size, demographic, income or behavioural statistics. Flag any information that needs checking against current UK sources, my own records or customer interviews. Do not claim to know who my ideal customer is with certainty.

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