A Structured AI Prompt Library for Market Research
Good market research is not simply a collection of attractive charts, confident predictions, or generic customer personas. It requires a clearly defined decision, an appropriate research method, relevant evidence, transparent assumptions, careful sampling, and conclusions that reflect the actual limitations of the available data.
1000 AI Prompts for Market Research and Competitive Analysis is a 116-page digital prompt book designed to help users communicate these requirements more clearly to generative-AI tools.
The collection contains 1,000 customizable prompt frameworks organized into 10 focused chapters. It supports recurring workflows across industry analysis, competitor research, customer discovery, segmentation, product validation, surveys, interviews, market-data analysis, opportunity assessment, brand positioning, go-to-market planning, and research reporting.
This is not a collection of one-line instructions such as “research my market” or “tell me what customers want.” The prompts encourage users to define the market, geography, customer segment, business model, research objective, available evidence, time period, source restrictions, assumptions, and required output before asking AI for assistance.
Turn Broad Business Questions into Researchable Tasks
Generative AI can help structure a research plan, organize supplied evidence, develop interview questions, compare competitors, identify missing information, and prepare analytical frameworks. It does not automatically possess current or complete knowledge of every market.
An AI model may generate a plausible market size, competitor feature, consumer quotation, pricing benchmark, industry trend, regulatory detail, or customer preference without a reliable supporting source. Plausible language must not be treated as verified market evidence.
The prompts encourage users to provide relevant context such as:
- Industry, product category, and business model
- Target geography and research period
- Research question and intended business decision
- Target customers, buyers, users, or stakeholders
- Known competitors and alternatives
- Confirmed internal or external evidence
- Approved sources and source-date requirements
- Sample characteristics and research limitations
- Existing prices, channels, products, and capabilities
- Known assumptions and unresolved questions
- Information that must not be inferred or invented
- Required deliverable, format, and level of detail
This structure makes AI output more useful as a research aid while keeping evidence collection, verification, interpretation, and decision-making under human control.
What Is Included?
- 1,000 customizable AI prompt frameworks
- 10 chapters with 100 prompts in each chapter
- A clear Goal for every prompt
- A Usage section explaining the intended application
- An editable Prompt with contextual placeholders
- Frameworks for primary and secondary research planning
- Prompts for qualitative and quantitative research tasks
- Instructions for distinguishing evidence from assumptions
- Prompts for identifying missing data and research limitations
- Reusable workflows for startups, established companies, agencies, and consultants
Ten Market-Research Areas Covered
1. Industry and Market-Trend Analysis
Define market boundaries, organize confirmed industry information, examine changes over time, develop trend-monitoring frameworks, identify possible market drivers, compare scenarios, and separate observable signals from speculative predictions.
2. Competitor Discovery and Benchmarking
Identify direct, indirect, and substitute competitors; develop comparison criteria; organize verified competitor evidence; compare positioning, channels, pricing, features, and customer promises; and identify areas requiring further investigation.
3. Customer Personas and Market Segmentation
Develop evidence-based segmentation variables, compare potential customer groups, organize supplied customer information, identify jobs and purchasing criteria, and avoid presenting imagined personas as confirmed customer research.
4. Product and Business-Idea Validation
Define testable assumptions, prioritize validation questions, develop problem and solution hypotheses, compare validation methods, structure minimum viable tests, establish decision criteria, and document evidence for or against an opportunity.
5. Surveys, Interviews and Data Collection
Prepare screening questions, interview guides, survey structures, neutral question wording, consent considerations, sampling questions, pilot-testing checklists, and data-quality controls.
6. Market Data and Consumer-Insight Analysis
Organize supplied datasets, categorize feedback, compare segments, detect recurring patterns, examine contradictory evidence, prepare analytical tables, and clearly distinguish descriptive findings from possible explanations.
7. Opportunity Mapping and Business-Model Research
Compare market opportunities, evaluate customer needs, map value chains, identify possible partners and channels, assess feasibility questions, document commercial assumptions, and develop evidence requirements for business-model decisions.
8. Brand Positioning and Messaging Research
Compare category language, analyze supplied customer vocabulary, map positioning alternatives, develop message-testing plans, identify proof requirements, and examine whether proposed claims are differentiated, credible, relevant, and supportable.
9. Research Reports and Stakeholder Presentations
Structure market-research reports, prepare executive summaries, organize evidence tables, separate facts from recommendations, communicate limitations, develop presentation narratives, and create decision-focused reporting formats.
10. AI-Assisted Market-Intelligence Workflows
Build repeatable research processes, create source-verification checklists, develop monitoring templates, combine human and AI tasks, document assumptions, evaluate AI-generated output, and establish review requirements before information is used commercially.
How Every Prompt Is Structured
Every prompt follows a consistent three-part format:
- Goal: Defines the specific market-research outcome the prompt is intended to support
- Usage: Explains when and how the prompt can be applied
- Prompt: Provides a detailed instruction ready to customize and use
Depending on the research task, editable fields may include [INDUSTRY], [MARKET], [LOCATION], [CUSTOMER SEGMENT], [PRODUCT], [RESEARCH QUESTION], [BUSINESS DECISION], [COMPETITORS], [SUPPLIED EVIDENCE], [APPROVED SOURCES], [TIME PERIOD], [KNOWN ASSUMPTIONS], [LIMITATIONS], and [DESIRED OUTPUT].
Sample AI Prompts for Market Research
The following examples demonstrate the type of structured workflow supported by the collection. They should not be described as verbatim excerpts from the PDF unless compared directly with the published book.
Sample 1: Build an Evidence-Based Competitor Comparison
Goal: Compare competitors using supplied and verifiable information without inventing features, prices, performance, or customer opinions.
Usage: Use when preparing a competitor landscape, product benchmark, strategy workshop, or positioning review.
Prompt:
Act as a competitive-market research assistant. Analyze only the evidence and approved sources supplied below. Do not invent competitors, prices, features, market shares, customer reviews, partnerships, financial results, or strategic intentions.
Industry: [INDUSTRY]
Target market: [MARKET AND LOCATION]
Product category: [CATEGORY]
Target customer: [SEGMENT]
Research period: [PERIOD]
Known competitors: [COMPETITORS]
Comparison criteria: [CRITERIA]
Supplied evidence: [PASTE VERIFIED INFORMATION]
Approved external sources: [SOURCES]
Business decision: [DECISION]Create:
- A definition of the competitive market being analyzed
- A table separating direct competitors, indirect competitors, and substitutes
- A comparison using only confirmed information
- A source and retrieval-date column for each factual claim
- An “unknown” label wherever information is unavailable
- Possible strengths and weaknesses framed as interpretations rather than facts
- Areas where competitors appear similar or differentiated
- Evidence required to validate each possible differentiation
- Questions for customer research
- A prioritized list of information that requires further investigation
Clearly separate verified facts, user-supplied assumptions, calculated values, and hypotheses. Do not interpret missing information as evidence that a competitor lacks a capability.
Sample 2: Design a Neutral Customer-Interview Plan
Goal: Develop customer interviews that explore real behavior and problems without steering participants toward the proposed solution.
Usage: Use before conducting problem-discovery, product-validation, or buyer research interviews.
Prompt:
Act as a customer-research planning assistant. Help me create a neutral interview plan. Do not generate fictional customer responses or treat hypothetical answers as research evidence.
Research objective: [OBJECTIVE]
Business decision: [DECISION]
Target participant: [PARTICIPANT PROFILE]
Product or concept: [PRODUCT OR CONCEPT]
Problem hypothesis: [HYPOTHESIS]
Known assumptions: [ASSUMPTIONS]
Recruitment method: [METHOD]
Interview duration: [DURATION]
Sensitive topics to avoid or handle carefully: [TOPICS]
Applicable consent and privacy requirements: [REQUIREMENTS]Provide:
- Participant-screening criteria
- A concise introduction and consent reminder
- Warm-up questions based on recent real experiences
- Questions about existing behavior, workflows, alternatives, costs, and frustrations
- Follow-up probes that do not lead the participant
- Questions that test the problem before presenting the solution
- Concept-testing questions that avoid asking only whether the participant likes the idea
- Closing questions and permission requirements for future contact
- An interviewer checklist for avoiding confirmation bias
- A note-taking template separating quotations, observations, interpretations, and unanswered questions
Flag questions that may be leading, double-barreled, overly hypothetical, sensitive, or difficult to answer accurately. Do not create testimonials, quotations, or findings that were not supplied by real participants.
Sample 3: Create a Market-Opportunity Validation Plan
Goal: Translate a business opportunity into testable assumptions, evidence requirements, and decision criteria.
Usage: Use before investing substantially in product development, market entry, or a new commercial offer.
Prompt:
Act as a market-opportunity validation assistant. Use the information supplied below to develop a research plan. Do not estimate market size, demand, revenue, adoption, willingness to pay, or probability of success without supporting evidence.
Business idea: [IDEA]
Target market: [MARKET]
Target customer: [CUSTOMER]
Proposed problem: [PROBLEM]
Proposed solution: [SOLUTION]
Revenue model: [REVENUE MODEL]
Known alternatives: [ALTERNATIVES]
Available internal evidence: [INTERNAL EVIDENCE]
Available external evidence: [EXTERNAL EVIDENCE]
Budget and time constraints: [CONSTRAINTS]
Decision to be made: [DECISION]Create:
- A list of the critical assumptions behind the opportunity
- A classification of each assumption as customer, market, product, channel, operational, financial, or regulatory
- The consequence if each assumption is wrong
- Evidence already available for and against each assumption
- The most appropriate validation method for each assumption
- A prioritized research sequence based on uncertainty and potential impact
- Clear pass, revise, or stop criteria where sufficient information exists
- Low-cost tests that can be completed before larger investment
- Possible sources of bias or misleading evidence
- A final evidence-gap table showing what remains unknown
Do not present synthetic personas, simulated interviews, or AI-generated opinions as customer evidence. Label all projections and scenarios as assumptions until supported by appropriate research.
Who Is This Book For?
- Entrepreneurs and startup founders
- Marketing and brand professionals
- Market-research and consumer-insight teams
- Business and strategy analysts
- Product managers and product marketers
- Innovation and business-development teams
- Consultants and agency professionals
- E-commerce and digital-business teams
- Small-business owners
- Sales and commercial-strategy teams
- Students studying marketing, business, or entrepreneurship
- Professionals preparing business plans or investor materials
Suitable Research Contexts
The prompt frameworks can be adapted for:
- Business-to-consumer and business-to-business markets
- Products, services, platforms, and subscription businesses
- Local, regional, and international market research
- Startup idea and product validation
- New-market and category-entry research
- Competitor and substitute analysis
- Customer-experience and feedback research
- Brand, positioning, and message testing
- Channel and go-to-market research
- Consulting and agency research projects
Users must customize the prompts according to their industry, geography, customers, evidence, resources, applicable laws, professional standards, and intended business decision.
How to Use the Prompts Effectively
- Select a prompt that matches the research question and decision you need to make.
- Replace every placeholder with accurate and relevant information.
- Define the market, geography, customer segment, and research period precisely.
- Separate supplied evidence from assumptions and unresolved questions.
- Specify which sources the AI may use and how recent they must be.
- Ask the AI to label missing information instead of filling gaps.
- Verify statistics, market sizes, competitor information, prices, regulations, and trends using current reliable sources.
- Do not treat simulated personas or AI-generated responses as primary customer research.
- Protect personal, confidential, proprietary, and commercially sensitive information.
- Have an appropriate human reviewer approve findings before they influence a material business decision.
Product Details
- Title: 1000 AI Prompts for Market Research and Competitive Analysis
- Format: PDF digital book
- Length: 116 pages
- Language: English
- Number of prompts: 1,000
- Structure: 10 chapters with 100 prompts per chapter
- Prompt format: Goal, Usage, and Prompt
- Delivery: Instant digital download after purchase
- SKU: SMDL-DL-013
- Price: $16
Important Information About AI and Market Research
Generative-AI systems may produce inaccurate, incomplete, biased, outdated, or invented information. This can include fabricated market statistics, reports, citations, competitors, customer quotations, market shares, prices, trends, product features, regulations, and commercial forecasts.
AI-generated personas, interview responses, reviews, focus-group discussions, survey answers, and customer quotations are synthetic content. They must not be presented as evidence collected from real people.
Market-size estimates depend on market definitions, data sources, time periods, calculation methods, assumptions, and currency treatment. A confident numerical answer from an AI model does not establish that the estimate is reliable.
When processing customer, respondent, employee, partner, or competitor information, users must comply with applicable privacy, consent, confidentiality, intellectual-property, research-ethics, and data-protection requirements.
Material investment, pricing, market-entry, hiring, product, legal, financial, or strategic decisions should not be based solely on generative-AI output.
What This Product Is—and Is Not
This product is a downloadable educational collection of customizable AI prompt frameworks for market-research planning, competitor analysis, customer discovery, segmentation, product validation, survey and interview preparation, evidence organization, opportunity assessment, and research reporting.
It is not a market-research agency, survey panel, respondent-recruitment service, customer database, competitor-intelligence platform, analytics application, consulting engagement, data subscription, or source of verified market data.
The purchase does not include access to ChatGPT, Claude, Gemini, Microsoft Copilot, market-research databases, survey software, social-listening tools, analytics platforms, or other third-party services. Separate accounts or subscriptions may be required.
The book does not guarantee product-market fit, accurate forecasts, successful market entry, investor approval, increased sales, competitive advantage, profitable growth, campaign performance, customer adoption, or better business outcomes.
Frequently Asked Questions
Does the book contain exactly 1,000 prompts?
Yes. It contains 10 chapters with 100 prompts in each chapter, providing a total of 1,000 customizable prompt frameworks.
Can AI conduct complete market research for me?
AI can support research planning, question development, evidence organization, comparison, and drafting. Reliable market research still requires appropriate methods, real evidence, source verification, quality control, and human interpretation.
Can the prompts identify my competitors?
They can help define competitor categories, organize known competitors, develop search strategies, and create comparison frameworks. Every competitor and factual claim must be verified using current reliable sources.
Can AI create customer personas?
AI can structure provisional persona hypotheses using supplied evidence. Personas generated without real customer evidence should be clearly labeled as hypothetical and should not be represented as validated customer segments.
Can the prompts calculate market size?
They can help define market boundaries, organize inputs, compare calculation methods, and document assumptions. Market-size figures require reliable source data and transparent calculations.
Can I use AI-generated survey responses?
Synthetic responses may be used for limited tasks such as testing a questionnaire or demonstrating an analytical workflow, but they are not evidence of what real customers think or do.
Can the prompts analyze customer feedback?
Yes. They can help categorize anonymized feedback, identify recurring themes, compare segments, and organize questions for further investigation. The quality of the output depends on the completeness and representativeness of the supplied data.
Can I upload confidential business data?
Only if the selected AI environment and intended use have been properly assessed, secured, and authorized. Confidential, personal, restricted, proprietary, or commercially sensitive information may require anonymization or may not be suitable for upload.
Will the prompts work with every AI platform?
The general frameworks can be adapted to different generative-AI tools, but browsing capabilities, privacy terms, context limits, data retention, supported files, and output quality vary between platforms and versions.
Is this a physical book?
No. It is a 116-page English PDF delivered digitally. No physical product will be shipped.
Build More Defensible Market-Research Workflows
Use these 1,000 customizable prompts to define research questions, compare competitors, plan customer discovery, validate assumptions, organize evidence, communicate limitations, and identify what must be investigated before making a business decision.
Download the 116-page PDF and adapt the prompts to your market, customers, competitors, business model, available evidence, research standards, and commercial objectives.
