20 AI Prompts for Market Research and Competitor Analysis

Market research helps businesses understand customers, competitors and opportunities. AI assistants can help plan research, design surveys, organise findings and summarise feedback. They cannot replace real data, so combine AI with actual customer conversations, search data and reliable reports.

At a Glance: Use AI to structure research plans, draft survey questions, create competitor analysis frameworks, summarise reviews and identify patterns in feedback, then verify insights with real evidence.

Research Planning

  • Create a market research plan for launching [product] in [market].
  • What questions should I answer before entering the [industry] market?
  • Suggest primary and secondary research methods for [business].

Survey and Interview Design

  • Write 10 unbiased survey questions to understand why customers buy [product].
  • Create an interview guide for talking to potential customers about [problem].
  • Review these survey questions for bias: [questions].

Competitor Analysis

  • Create a competitor analysis template with criteria for [industry].
  • Compare these competitors based on the information I provide: [notes].
  • Suggest ways [business] can differentiate from competitors offering [features].
  • Suggest what to look for when reviewing competitors’ websites and social media.

Customer Feedback Analysis

  • Summarise common themes from these anonymised reviews: [reviews].
  • Categorise this feedback into positives, complaints and feature requests: [feedback].
  • Identify the top three pain points mentioned in these comments: [comments].

Trends and Opportunities

  • Suggest factors that might influence demand for [product] in the next year.
  • Suggest underserved customer segments for [product].
  • Create a list of keywords to check in Google Trends for [industry].

Presenting Findings

  • Turn these research notes into a short executive summary: [notes].
  • Create a slide outline presenting market research findings for [product].

Verify AI Insights

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Market trends Trusted reports, Google Trends

Step-by-Step: A Beginner’s Market Research Workflow

Market research does not have to be expensive. With a clear process and an AI assistant to help organise your thinking, a small business owner or freelancer can learn a lot in a few hours.

  1. Define the question: Start with one clear question, such as “Is there demand for a mobile pet grooming service in my town?” Vague questions lead to vague research.
  2. Map the market: Ask, “List the types of customers, competitors and alternatives that exist for this service.” Alternatives matter because customers might solve the problem themselves.
  3. Gather real information: Visit competitor websites, read public reviews, look at local social media groups and speak to potential customers. AI cannot do this field work for you.
  4. Organise your notes: Paste your notes (without personal details) and ask, “Group these findings into customer needs, complaints, price signals and gaps.”
  5. Draw careful conclusions: “Based only on these notes, what are the 3 strongest opportunities and the 3 biggest risks?”
  6. Decide on next steps: Turn the findings into small tests, such as a simple landing page or a trial offer.

Worked Example: Comparing Local Competitors

Suppose you have looked at three local competitors. You can ask the AI to turn your notes into a comparison table like this:

Factor Competitor A Competitor B Competitor C
Main service Full grooming at a salon Mobile bathing only Grooming plus pet sitting
Price level Higher Lower Medium
Booking method Phone only Online form Mobile app
Common praise in reviews Skilled staff Convenience Friendly service
Common complaints Long waiting times Limited services Late arrivals

A useful follow-up prompt is: “Looking at this table, which customer needs are not being met well? Suggest how a new business could address them honestly.” In this example, the gap might be convenient mobile grooming with reliable, on-time appointments.

Turning Customer Reviews Into Insights

Public reviews of competitors and similar products are one of the richest free research sources. To use them well:

  • Copy a selection of reviews into a document, removing reviewer names.
  • Ask the AI: “Group these reviews into themes and count how often each theme appears.”
  • Then ask: “Which themes are about price, which are about quality and which are about service?”
  • Finally: “Write 5 survey questions I could ask my own potential customers to test these themes.”

This approach turns scattered opinions into a structured list of what customers care about.

Simple Survey Prompts

Short surveys give you first-hand data. AI can help you write fair, unbiased questions:

  • “Write 8 survey questions about how people currently solve [problem]. Avoid leading questions.”
  • “Rewrite these questions so they are easy to answer on a phone in under 2 minutes.”
  • “Suggest answer options for each question, including ‘Other’ and ‘Not sure’.”

Common Market Research Mistakes

  • Treating AI answers as research. AI tools generate plausible text but do not know your local market. Use them to organise and question, not to replace real data.
  • Asking leading questions. “Would you love a cheaper, better service?” will almost always get a yes. Ask neutral questions instead.
  • Only talking to friends. Friends tend to be supportive. Seek opinions from people who match your target customer.
  • Copying competitors. Research should reveal gaps you can fill, not ideas to imitate.
  • Stopping too early. Repeat small pieces of research as your business grows and markets change.

Tip: Keep a simple research log with the date, source and key finding for each insight. When you ask the AI for conclusions, paste the log so its suggestions are grounded in what you actually discovered.

Conclusion

AI makes market research more organised and efficient. Use prompts to plan research, design questions, analyse feedback and present findings, but always ground conclusions in real data and customer evidence.

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