35 Claude Prompts for Winning Market Research

Most market research is slow, expensive and out of date by the time it reaches the people who need it. The right Claude prompts for market research change that, turning Claude into a research partner that can analyse competitors, map customer needs, size opportunities and turn scattered findings into clear strategy.

Below are 35 prompts covering every stage of the research process: competitive research, customer research, market sizing and trends, surveys and interviews, and strategy and reporting. They are written for Claude but work in any AI chat.

Claude can reason across a lot of context, so give it plenty to work with:

• Real inputs: paste reviews, transcripts, pricing pages and reports instead of asking from memory
• A clear decision: say what the research is for — a launch, a price change, a new market
• A framework: name the one you want, such as SWOT, PESTLE or jobs to be done
• A verification step: ask the model to flag assumptions and any figures you need to check against current sources

Model choice matters too. Claude Sonnet 5 tends to be strong at nuanced synthesis across long documents, while GPT-6 Astra is useful for structured frameworks and comparisons. Treat any statistic an AI gives you as a lead to verify, not a fact.

Competitive research works best when you feed the model real material — websites, pricing pages, reviews. Gemini 3 Pro handles long inputs from many competitors at once, and the AI article summarizer quickly condenses industry articles and competitor blog posts.

1. Competitive landscape map

Map the competitive landscape for [product or company] in [market]. Competitors: [list them, or ask me for them]. For each, summarise the positioning, target customer, pricing approach, key strengths and weaknesses. Then identify the gaps no one is serving well.

2. Competitor teardown

Do a detailed teardown of [competitor] based on this information: [paste website copy, pricing, reviews, notes]. Cover their value proposition, product, pricing, channels, messaging, strengths, weaknesses and the move they are most likely to make next.

3. Competitor messaging analysis

Compare the homepage messaging of these competitors: [paste headlines and key copy]. Identify the claims everyone makes, the language they share and the message territory that is still open for us.

4. Feature comparison matrix

Build a feature comparison table for [product category] with these products: [list] and these criteria: [list]. Mark where each is strong, average or weak, and summarise what buyers would notice first.

5. Competitor review mining

Here are customer reviews of [competitor]: [paste]. Group the praise and complaints into themes, count how often each appears, and list the unmet needs we could target.

6. Pricing comparison

Compare the pricing of these competitors: [paste plans and prices]. Show the pricing models, entry price, most popular tier and what is gated behind higher plans, and explain where our pricing — [describe] — fits.

7. Competitor monitoring plan

Create a simple monthly plan to monitor [competitors]: what to track (pricing, launches, messaging, hiring, reviews), where to find it, who owns it and how to summarise changes in a one-page update.

The best customer insight comes from customers’ own words. For tagging large batches of reviews, Claude Haiku 4.5 is fast, and the AI summarizer condenses long transcripts before you analyse them.

8. Pain point excavation

Identify the deepest pain points of [target customer] when it comes to [problem area]. Go beyond the obvious: include emotional frustrations, the workarounds they use today, what they have tried that failed and the moment the pain becomes urgent enough to pay for a fix.

9. Customer segmentation

Segment the market for [product] into 4–5 distinct customer groups. For each, describe who they are, their main need, how they buy, their price sensitivity and how attractive they are to us. Recommend which segment to target first.

10. Evidence-based persona

Build a buyer persona for [segment] using this research: [paste interview notes, survey data or reviews]. Include goals, frustrations, decision criteria, objections, information sources and a direct quote that sums them up. Flag anything that is an assumption rather than evidence.

11. Jobs to be done

Describe the jobs to be done for customers of [product category]: the functional, emotional and social jobs, the situations that trigger them, and the outcomes customers use to judge success.

12. Buyer journey map

Map the buyer journey for [product] from first awareness to purchase and renewal. For each stage, give the customer’s questions, the channels they use, who influences the decision and the biggest drop-off risk.

13. Voice-of-customer analysis

Here are [reviews / support tickets / survey comments] from our customers: [paste]. Group them into themes, pull out exact phrases customers repeat, and rank the themes by how often they appear and how strongly they are felt.

14. Customer interview guide

Write a 30-minute customer interview guide for learning about [topic]. Include a warm-up, 10–12 open questions focused on past behaviour rather than hypotheticals, follow-up probes and a closing question.

Sizing and trend work depends on assumptions, so ask for every step to be shown. Check the arithmetic with the AI math calculator, and use DeepSeek V4 Pro when you want a methodical, step-by-step estimate.

15. TAM, SAM and SOM estimate

Estimate the total, serviceable and obtainable market for [product] in [region]. Use both a top-down and a bottom-up approach, show every assumption and calculation, and give a realistic range rather than a single number. Mark every figure I need to verify.

16. Industry trend analysis

Analyse the main trends shaping [industry] over the next 3–5 years: technology, customer behaviour, regulation and business models. For each trend, explain the likely impact on [our business] and one action to take. Note which points I should confirm with current sources.

17. PESTLE analysis

Run a PESTLE analysis for [business] entering [market]. For each factor, list the most relevant issues, rate the impact as high, medium or low, and suggest how to respond.

18. Opportunity finder

Based on this market overview — [paste or describe] — identify five emerging opportunities: underserved segments, unmet needs, new channels or business models. Rank them by size, timing and fit with our strengths.

19. Demand signals

What signals would show real demand for [product idea]? List the search, social, community, sales and competitor signals to look for, where to find each one, and what would count as a strong or weak result.

20. New market entry scan

We are considering expanding [product] into [country or region]. Compare it with our current market on customer needs, competition, pricing, channels, language and cultural factors, and list the biggest risks and the first things to validate.

21. Regulatory research checklist

List the regulatory and compliance areas we should research before launching [product] in [market] — data privacy, advertising rules, licensing and consumer protection. Frame them as questions to check with an expert, not as legal advice.

AI speeds up both research design and analysis, but it cannot replace real respondents. Condense long industry reports with the AI PDF summarizer, use Claude Sonnet 4.6 for coding open-ended responses, and try Gemini 3.5 Flash for quick drafts of survey questions.

22. Survey design

Design a survey to learn [research goal] from [audience]. Include 10–15 questions in a logical order, a mix of multiple-choice, scale and open questions, and a note on what each question will tell us. Keep it under five minutes to complete.

23. Survey bias check

Review these survey questions for bias: [paste]. Flag leading, double-barrelled, loaded or confusing questions, explain the problem with each, and rewrite them neutrally.

24. Interview synthesis

Here are notes from [number] customer interviews: [paste]. Identify recurring themes, surprising insights, contradictions between interviewees and the quotes that best illustrate each theme.

25. Open-ended response coding

Code these open-ended survey responses into categories: [paste]. Create 6–10 clear categories, assign each response, show the count per category and give two representative quotes for each.

26. Survey results analysis

Here are our survey results: [paste data or summary]. Summarise the key findings, compare results across [segments], point out anything unreliable because of small sample sizes, and list three decisions these results support.

27. Focus group guide

Write a 60-minute focus group guide on [topic] for [participant profile]. Include an introduction, a warm-up activity, main discussion questions, a group exercise and how to handle a dominant participant.

28. Participant recruitment plan

Plan how to recruit [number] research participants who match [criteria]. Suggest screening questions, recruitment channels and incentives, and explain how to avoid only hearing from our most loyal customers.

Research only matters once it changes a decision. GPT-5.6 Sol is good at turning findings into tightly structured briefs, the AI business plan generator connects insights to a wider plan, and Grok 4.5 can play devil’s advocate against your conclusions.

29. Positioning from research

Using this research — [paste findings] — recommend a positioning for [product]. Include the target segment, the problem we solve, our key differentiator, the proof and a one-sentence positioning statement. Offer two alternatives.

30. Pricing research plan

Help me research pricing for [product]. Suggest which pricing models fit, how to test willingness to pay (for example a Van Westendorp survey or simple price tests), what competitor prices tell us and three price points worth testing.

31. SWOT with recommendations

Run a SWOT analysis for [business] using this information: [paste]. Keep each point specific, then turn the SWOT into three strategic recommendations that use our strengths to capture opportunities and reduce threats.

32. Five forces analysis

Apply Porter’s five forces to [industry]. Rate each force as low, medium or high with a short explanation, and summarise what it means for profitability and for our strategy.

33. Market entry decision

Help me decide whether to enter [market] with [product]. Score market size, competition, customer need, our capabilities, cost and risk from 1 to 5, and give a clear recommendation along with the conditions that would change it.

34. Strategic intelligence brief

Synthesise all of this research into a strategic intelligence brief: [paste findings]. Include the five most important insights, what they mean for us, recommended actions ranked by impact and effort, and open questions for further research.

35. Research executive summary

Turn this market research report into a one-page executive summary for [audience]: [paste]. Lead with the main conclusion, include only the numbers that matter, and end with the decision we need to make.

Chat Smith gives you Claude alongside GPT, Gemini, Grok and DeepSeek in one app, so you can analyse with one model, challenge the findings with another and compare their reasoning side by side. Save your research prompts as templates and every new project starts from a proven framework.

AI makes research faster, but the best insights still come from real customers and verified data. Use these prompts to spend less time organising information and more time acting on it.