28 ChatGPT Prompts For Market Research That Work In 2025

When it comes to conducting in-depth market research, ChatGPT can be a game-changer. 

In my years of experience as both a serial entrepreneur and an AI enthusiast with a passion for helping organizations improve their AI adoption, I’ve found that with the right ChatGPT prompts for market research, you can:

• Streamline data collection,
• Uncover valuable customer insights, 
• Detect opportunities, and
• Boost productivity across levels – all that in minutes rather than weeks. 

However, all these amazing benefits will stay out of reach unless you know how to use conversational AI models.

That’s where I come in.

In this in-depth guide, I’ll share the best ChatGPT prompts to help market researchers, business analysts, and entrepreneurs make their market research faster, smarter, and more effective. 

Buckle up, and let’s dive straight in!

Competitor Analysis Prompts

Competitor analysis is critical for understanding how rival brands position themselves, differentiate their offerings, and communicate with their audience. 

On the other hand, these insights are essential for your brand because they can help you detect potential market gaps and low-hanging opportunities or figure out what works and what underperforms with your target audience.

However, manual competitor research is a long and tedious task, which is why using AI is an excellent idea.

Namely, ChatGPT can significantly accelerate competitor analysis by:

• Quickly synthesizing and analyzing large amounts of competitor data, summarizing key messaging themes in minutes.
• Surfacing unbiased insights, patterns, and themes based purely on data.
• Allowing you to analyze multiple competitors simultaneously, which would be extremely time-consuming manually.

Pro tip: AI-generated insights are most valuable when combined with real-world data. 

By pairing ChatGPT’s analysis with external validation—such as customer reviews, social media sentiment, and website copy—marketers can cross-check AI-driven insights against actual market responses and make data-backed strategic decisions.

Now, let’s look at four powerful ChatGPT prompts for various use cases and explain why they work and how they can be customized for deeper insights:

1. Identifying Competitor Strengths

💡 Prompt:

“Analyze the website, product descriptions, and customer reviews of [Competitor X]. Identify their key strengths in terms of product offering, messaging, and brand positioning. Summarize the top three differentiators they emphasize in their marketing.”

Why it works: This prompt helps uncover what a competitor does well—whether it’s superior product features, strong branding, or customer trust. You can identify what resonates most with your audience by focusing on differentiators.

Customization: Modify the prompt to analyze different platforms (e.g., “Analyze their social media ads” or “Evaluate their email campaigns”). 

Focus on a specific audience segment by adding, “Identify strengths that appeal to [target customer persona].”

2. Identifying Competitor Weaknesses

💡 Prompt:

“Analyze negative customer reviews and online discussions about [Competitor X]. Identify recurring complaints, unmet expectations, and weak points in their product or service. What are the top three areas where they underperform?”

Why it works: This prompt leverages AI’s ability to scan large amounts of unstructured text (e.g., reviews, forums, and complaints) to detect patterns of dissatisfaction. These weak spots represent opportunities for you to differentiate your brand.

Customization: Specify a time range (e.g., “Analyze reviews from the past 12 months” to spot recent trends). 

Compare multiple competitors by adding, “How do these weaknesses compare to [Competitor Y]?”

3. Analyzing Competitor Messaging & Positioning

💡 Prompt:

“Analyze the homepage, about page, and key product pages of [Competitor X]. What are the recurring words, phrases, and themes they use to position themselves? Identify their brand tone (e.g., formal, conversational, innovative) and core messaging pillars.”

Why it works: This helps you understand how a competitor presents itself, what emotions it tries to evoke, and what language it uses to connect with customers. You can then compare this with your brand’s messaging to identify positioning gaps or opportunities.

Customization: Focus on a specific industry niche (e.g., “Analyze SaaS competitors in the HR tech space”). 

Add comparative analysis by asking, “How does their messaging differ from [Competitor Y]?”

4. Extracting Competitor Growth Strategies

💡 Prompt:

“Analyze recent press releases, blog content, and product updates from [Competitor X]. What are the major initiatives, expansion strategies, or partnerships they have focused on in the past 12 months? Identify key trends and emerging business strategies.”

Why it works: This allows you to track competitor movements, whether they’re investing in new markets, launching innovative features, or forming strategic partnerships. Recognizing these trends can help anticipate industry shifts.

Customization: Specify a type of growth strategy (e.g., “Identify how they are expanding internationally”). 

Adjust the timeframe (e.g., “Analyze only strategies from the past six months for real-time trends”).

Market Trend Identification Prompts

If you’re looking to stay ahead of shifting consumer preferences, emerging technologies, and industry disruptions, you need to be able to identify market trends while they’re still relevant.

ChatGPT prompts can enhance and speed up this process thanks to AI’s ability to:

• Pull relevant insights from multiple sources – AI can analyze news articles, blog posts, and social media discussions to detect recurring themes and topics gaining traction.
• Detect sentiment and public discourse – It can scan forum discussions, customer reviews, and social media sentiment to identify early signals of shifts in consumer interest before they become mainstream.
• Uncover keyword and topic growth – ChatGPT can analyze industry whitepapers, reports, and keyword trends to reveal which topics are experiencing a steady rise in mentions and distinguish short-term fads from long-term shifts.

However, AI alone isn’t infallible, as it comes with some limitations that you need to be aware of to make the most of its potential.

This is why it’s best to use AI together with traditional trend analysis to ensure top-quality output.

Let’s quickly look at some of the top AI limitations in trend identification and how to overcome them:

• Lack of real-time data

ChatGPT’s knowledge is based on existing data—it does not pull in real-time analytics.

Solution: Cross-check AI insights with Google Trends, market research reports, and industry forecasts.

• Correlation vs. causation issues

AI can identify patterns but doesn’t inherently understand why trends are forming.

Solution: Combine AI findings with expert interviews, focus groups, and industry analyst reports to validate insights.

• Bias in data sources

AI can reflect biases in the data it analyzes (e.g., skewed perspectives from certain industries or media sources).

Solution: Use multiple AI prompts targeting diverse sources and compare results across different datasets.

So, the bottom line here is that although AI excels at connecting dots across various data points and identifying meaningful trends that might otherwise remain hidden, it’s best you use these AI-generated trend analyses as a starting point for deeper investigation.

Here are some ChatGPT prompts for market research that you can use to extract valuable market trends and make accurate hypotheses about where markets are heading:

1. Consumer Sentiment Trend Analysis

💡 Prompt:

“Analyze recent social media discussions, customer reviews, and online forums related to [product/service]. Identify shifts in consumer sentiment, emerging preferences, and potential dissatisfaction trends. Summarize the top insights and how they have evolved over the past 6 months.”

Why it works: Consumers drive market trends. This prompt surfaces changing opinions, emerging pain points, and new expectations that businesses can use to refine their offerings.

Customization: Focus on a specific demographic (e.g., “Analyze discussions among Gen Z consumers.”). 

Compare sentiment before and after a major industry event (e.g., “Analyze consumer reaction before and after Apple’s latest product launch.”).

2. Competitive Trend Forecasting

💡 Prompt:

“Analyze recent product launches, marketing campaigns, and messaging shifts from [Competitor X, Competitor Y, Competitor Z]. Identify common themes, evolving positioning strategies, and potential market trends they are responding to.”

Why it works: Leading competitors often set market trends. This prompt helps you spot common strategic moves across competitors, revealing the direction the industry is headed.

Customization: Add a specific focus (e.g., “Analyze sustainability messaging in competitor branding.”).

Compare before and after periods (e.g., “Compare messaging strategies pre- and post-pandemic.”).

3. Industry Development & Regulatory Changes

💡 Prompt:

“Analyze recent news articles, government policies, and industry whitepapers related to [industry name]. Identify major regulatory changes, shifts in market demand, and key industry developments in the past 12 months. How are these changes affecting businesses in this sector, and what future trends can be anticipated?”

Why it works: This prompt helps surface policy shifts, economic factors, and industry-specific regulations that influence market direction. It’s particularly useful for industries like finance, healthcare, and energy, where regulatory changes have major business implications.

Customization: Focus on a specific type of regulation (e.g., “Analyze GDPR-related changes in the SaaS industry.”). 

Adjust the timeframe (e.g., “Identify policy shifts from the last 5 years.”). 

Compare across multiple markets (e.g., “Analyze how data privacy laws in the EU and US differ and impact businesses.”).

4. Emerging Technological Advancements & Disruptions

💡 Prompt:

“Analyze recent patents, research papers, startup funding rounds, and product launches in the [industry name] space. Identify breakthrough technological advancements and potential disruptions. How are these innovations likely to impact existing market leaders and reshape industry competition?”

Why it works: This prompt enables ChatGPT to scan for new inventions, venture capital movements, and R&D breakthroughs that signal upcoming tech shifts. It helps businesses anticipate disruptions before they become mainstream.

Customization: Focus on a specific technology (e.g., “Analyze advancements in AI for personalized healthcare.”). 

Compare across different stages of innovation (e.g., “Identify early-stage vs. late-stage AI developments in financial services.”). 

Track investment flows (e.g., “What tech trends are attracting the most venture capital in the renewable energy sector?”)

Product Development Research Prompts

Product development is an ongoing process that requires continuous market research, customer feedback analysis, and innovation. 

Using ChatGPT and its insights can help product teams validate ideas faster, identify pain points early, and make data-backed decisions that align with customer needs.

As a result, the product you launch will be much more likely to resonate with your target audience.

The best part is that you can use ChatGPT prompts throughout the product development lifecycle. For example:

• Ideation and research, as AI can help brainstorm feature ideas based on market gaps.
• Validation by comparing proposed features with competitor offerings.
• Prototyping and testing by generating use cases & refining UX based on users’ pain points.
• Launch and marketing by crafting impactful messaging based on user needs.
• Post-launch optimization by monitoring user sentiment and detecting areas for improvement.

When it comes to the prompts you can use, here are four powerful ChatGPT prompts for market research designed to uncover insights at different stages of product research and development:

1. Identifying Product Improvement Opportunities

💡 Prompt:

“Analyze customer reviews, support tickets, and forum discussions related to [Product Name]. Identify recurring pain points, feature requests, and common frustrations. Summarize the top 3 improvement areas and suggest actionable solutions.”

Why it works: This prompt surfaces real user frustrations and helps teams prioritize fixes that will have the biggest impact on retention and satisfaction.

Customization: Focus on specific feature feedback (e.g., “Analyze complaints about our mobile app experience.”).

Compare against competitor reviews to spot differentiation opportunities.

Add a time frame (e.g., “Identify trends from reviews over the past 6 months.”).

2. Prioritizing New Features Based on Demand

💡 Prompt:

“Evaluate user feedback, competitor features, and industry trends to determine the most valuable features for [Product Name]. Rank potential features by user demand, competitive advantage, and revenue potential. Suggest which ones should be prioritized for development.”

Why it works: It helps product teams prioritize features based on demand vs. feasibility, reducing the risk of building low-value features.

Customization: Adjust for different user segments (e.g., “Prioritize features for enterprise customers vs. small businesses.”).

Factor in resource constraints (e.g., “Rank features based on ease of implementation.”).

Compare feature demand across different markets (e.g., “How do feature needs differ in the US vs. Europe?”).

3. Assessing Product-Market Fit & User Adoption Barriers

💡 Prompt:

“Analyze user feedback, early adoption data, and competitor positioning to determine whether [Product Name] has achieved product-market fit. Identify key adoption barriers and suggest strategies to improve user engagement and retention.”

Why it works: This prompt uncovers why users may not be fully adopting the product and highlights areas where the product is misaligned with market needs.

Customization: Focus on specific user types (e.g., “Analyze barriers for non-technical users adopting our SaaS platform.”).

Include pricing considerations (e.g., “How does pricing impact our product-market fit?”).

Compare adoption rates before and after a feature launch.

4. Analyzing Competitor Product Strategies for Innovation Insights

💡 Prompt:

“Analyze recent product updates, feature rollouts, and messaging shifts from [Competitor X, Competitor Y, Competitor Z]. Identify emerging trends in their product development strategy and suggest how we can differentiate our offering.”

Why it works: Competitors reveal where the market is heading through their product launches. This helps teams spot gaps and opportunities before they become industry standards.

Customization: Adjust for specific features (e.g., “How are competitors integrating AI into their products?”).

Compare pricing and positioning strategies alongside feature launches.

Factor in startup vs. enterprise competition (e.g., “How are newer competitors disrupting traditional players?”).

ChatGPT Prompts for Market Sizing and Segmentation

Market sizing and segmentation are essential for understanding potential revenue opportunities, identifying high-value customer segments, and refining go-to-market strategies. 

ChatGPT can help structure market estimates and uncover segmentation insights by synthesizing existing data, industry reports, and customer trends. 

However, keep in mind that AI should be complemented with real-world data sources to ensure accuracy and reliability.

Moreover, you shouldn’t think of AI as an all-powerful magic wand, as it comes with a few limitations, similar to those I mentioned when discussing using AI for market trend identification:

• AI relies on available data

ChatGPT does not pull real-time statistics; it synthesizes past reports and trends.

Solution: Cross-check AI-generated estimates with industry reports, government data, and market research studies from sources like Statista, IBISWorld, or Gartner.

• AI cannot predict sudden disruptions

External factors such as economic downturns, regulation changes, or technological breakthroughs can impact market size.

Solution: Complement AI insights with real-time analytics, competitor monitoring, and expert interviews to refine estimates.

• AI struggles with highly niche markets

If only limited data is available, ChatGPT may generalize findings rather than provide precise segmentation.

Solution: Use AI to identify adjacent markets or comparable industries and infer potential demand.

Because of the highly specific nature of these prompts, i.e., the output you need, here are a few tips on what ChatGPT prompts for market size estimates should include for optimal results:

• Industry definition: Clearly specify the industry or market (e.g., “global B2B SaaS market” or “luxury electric vehicles in North America”).
• Geographic scope: Define whether the market size is global, regional, or country-specific.
• Customer base: Identify the target customer type (e.g., enterprises, SMBs, or direct consumers).
• Revenue model: Specify whether the estimate should focus on total revenue, units sold, or growth projections.
• Competitor & trend analysis: Instruct AI to consider existing market players, trends, and demand drivers for a more realistic view.

Here are a few powerful AI prompts for market size estimates that work:

1. Estimating Market Size for a Specific Industry

💡 Prompt:

“Estimate the total addressable market (TAM), serviceable available market (SAM), and serviceable obtainable market (SOM) for [Industry Name] in [Region]. Consider industry growth trends, key players, and revenue potential. Provide a breakdown of market demand and potential customer base.”

Why it works: This prompt breaks market size into three key components, providing insights into each for a 360-degree view:

• TAM (Total Addressable Market): The total potential market size.
• SAM (Serviceable Available Market): The portion of TAM realistically reachable based on business constraints.
• SOM (Serviceable Obtainable Market): The share of SAM the company can capture.

Customization: Adjust the timeframe (e.g., “Forecast market size over the next 5 years”).

Focus on specific customer segments (e.g., “Estimate the market size for mid-sized law firms using CRM software”).

Compare regions (e.g., “Contrast the European vs. North American market size”).

2. Identifying Valuable Market Segments

💡 Prompt:

“Analyze the [Industry Name] market and identify the most valuable customer segments based on demographics, purchasing behavior, and pain points. Provide insights into each segment’s revenue potential, willingness to pay, and key challenges.”

Why it works: Segmentation helps businesses prioritize high-value customers by analyzing:

• Demographics (age, income, industry).
• Buying habits (frequency, decision-making factors).
• Pain points & unmet needs (frustrations with existing solutions).

Customization: Specify B2B vs. B2C segmentation (e.g., “Identify the best SaaS customer segments for HR software”).

Narrow by company size or budget (e.g., “Segment the market based on annual revenue tiers”).

Adjust for industry (e.g., “Find market segments for high-end fitness wearables”).

3. Competitive Market Share Analysis

💡 Prompt:

“Analyze the competitive landscape of [Industry Name] in [Region]. Identify the market leaders, their estimated market share, and the positioning of emerging competitors. Highlight opportunities for new entrants based on gaps in the market.”

Why it works: This prompt helps understand who dominates the market and where there are opportunities for differentiation. It also enables you to evaluate barriers to entry and competitive advantages held by key players.

Customization: Specify a timeframe (e.g., “Compare market share shifts over the past 5 years”).

Focus on startup opportunities (e.g., “Identify gaps where new SaaS startups can compete”).

Adjust for product type (e.g., “Market share of cloud-based vs. on-premise security software”).

4. Forecasting Market Growth & Demand Trends

💡 Prompt:

“Analyze growth projections for the [Industry Name] market over the next 5 years. Identify key drivers influencing demand, emerging customer needs, and external factors (economic, regulatory, technological) shaping future market conditions.”

Why it works: Helps businesses anticipate future demand and investment opportunities and identifies growth trends, such as emerging technologies or regulatory changes impacting the industry.

Customization: Adjust growth projection range (e.g., “Analyze trends for the next decade”).

Focus on economic influences (e.g., “How will inflation impact demand for luxury goods?”).

Compare global vs. regional growth (e.g., “How does Latin America’s SaaS market growth compare to Europe?”).

Pricing Strategy Research Prompts

Developing an efficient pricing strategy is critical for market positioning, customer acquisition, and revenue growth. 

ChatGPT can help analyze competitive pricing, uncover opportunities in different customer segments, and assess price sensitivity to optimize profitability, allowing you to determine the optimal pricing approach for your target market.

However, since AI relies on existing data, it’s important to validate AI-generated pricing insights using:

• Real competitor price tracking (via pricing pages, industry reports).
• Customer sentiment analysis (e.g., Trustpilot, G2 reviews mentioning price satisfaction/dissatisfaction).
• Live pricing experiments (e.g., A/B testing different pricing models).
• Expert consultation (e.g., pricing analysts, industry thought leaders).

So, simply put, the best approach to leveraging AI here is: 

Use ChatGPT to generate hypotheses → Validate with real-world data → Adjust pricing strategy accordingly.

Pro tip: If you want to efficiently analyze your competitors’ pricing structures using ChatGPT, use structured prompts that:

• Identify direct and indirect competitors (e.g., “Analyze pricing models for top SaaS CRM tools.”).
• Break down pricing tiers & feature differences (e.g., “Compare enterprise vs. SMB pricing structures.”).
• Analyze promotional strategies & discounting tactics (e.g., “What pricing incentives do competitors use?”).
• Highlight value-based vs. cost-plus pricing (e.g., “Are competitors’ prices based on perceived value or production cost?”).

Now, let’s look at some of the most efficient ChatGPT prompts for designing efficient pricing strategies:

1. Competitive Pricing Structure Analysis

💡 Prompt:

“Analyze the pricing structures of the top five competitors in [Industry Name]. Compare their pricing models (subscription, one-time, freemium), pricing tiers, and feature differences. Identify trends and pricing gaps that could be leveraged for differentiation.”

Why it works: Breaks down how competitors structure their pricing and helps identify gaps (e.g., underserved pricing tiers, missing value-adds).

Customization: Add a geographic focus (e.g., “Compare SaaS pricing models in Europe vs. North America.”).

Specify B2B vs. B2C pricing differences.

Analyze pricing evolution (e.g., “How have competitors changed pricing over the last 3 years?”).

2. Price Sensitivity & Willingness to Pay Analysis

💡 Prompt:

“Analyze the price sensitivity of customers in [Industry Name]. Identify the price points at which customers perceive a product as ‘too expensive’ versus ‘affordable’ versus ‘low quality.’ Consider different customer segments and income levels.”

Why it works: It helps determine optimal pricing thresholds before customers resist purchasing and uncovers psychological pricing factors influencing decision-making.

Customization: Focus on a specific buyer persona (e.g., “How price-sensitive are SMBs when purchasing cybersecurity software?”).

Analyze regional price sensitivity (e.g., “Are customers in emerging markets more price-sensitive than U.S. buyers?”).

3. Value Perception & Premium Pricing Strategy

💡 Prompt:

“Evaluate how customers in [Industry Name] perceive the value of premium-priced products compared to mid-tier and budget options. Identify key psychological triggers that justify higher pricing and suggest strategies for positioning our product as a premium offering.”

Why it works: Helps assess if a premium pricing model is viable and identifies non-price factors (e.g., exclusivity, brand reputation) influencing willingness to pay.

Customization: Compare luxury vs. mainstream brands in a given industry.

Focus on specific pricing models (e.g., “How do customers perceive the value of SaaS tiered pricing?”).

Identify branding strategies that reinforce premium pricing.

4. Optimizing Discount & Promotional Pricing Strategies

💡 Prompt:

“Analyze the effectiveness of different discount strategies (e.g., seasonal discounts, loyalty programs, limited-time offers) in increasing customer acquisition and retention in [Industry Name]. Identify which discounting approaches maximize revenue without devaluing the brand.”

Why it works: Identifies whether discounts increase conversions or just reduce margins and helps find the balance between affordability & brand integrity.

Customization: Analyze B2B vs. B2C discounting effectiveness.

Compare competitor promotional pricing tactics.

Assess the long-term impact of discounting on brand perception.

Marketing Message Testing Prompts

Crafting the right marketing message is essential for engaging your target audience. 

ChatGPT can help test different versions of a marketing message, compare its impact across audience segments, and refine it for maximum resonance.

And while AI feedback isn’t a replacement for actual customer testing, it sure can provide valuable preliminary insights.

Namely, ChatGPT can help you analyze messaging in various ways, including:

• Breaking down the tone, clarity, and emotional appeal of a message.
• Evaluating how different audience personas might react based on their needs, pain points, and motivations.
• Comparing different message variations and suggesting optimizations based on audience psychology.
• Identifying potential weak spots—such as jargon-heavy language or a lack of differentiation.

However, as in several previous cases, you cannot use AI as a single source of truth due to its limitations, especially regarding the data it has access to and its inability to recognize nuanced context.

Instead, combine AI with live audience testing and feed user interviews and reviews into it for top-quality output.

Here are several examples of well-performing ChatGPT prompts for marketing message testing for various use cases:

1. Testing Message Clarity, Emotion, & Persuasion

💡 Prompt:

“Analyze the following marketing message for clarity, emotional appeal, and persuasive strength. Identify whether it is compelling, and suggest improvements based on audience psychology: [Insert message].”

Why it works: Evaluates whether the message is clear, engaging, and persuasive, helping you refine wording to trigger emotions or logical reasoning more effectively.

Customization: Specify B2B vs. B2C audience (e.g., “Analyze this message for a C-suite executive audience”).

Focus on specific triggers (e.g., “Does this message create a sense of urgency?”).

2. Comparing Message Effectiveness Across Audience Segments

💡 Prompt:

“Compare the following marketing messages for effectiveness among [Audience A] vs. [Audience B]. Explain how each audience is likely to perceive the message and suggest how to tailor it for maximum impact.”

Why it works: It helps adjust messaging for different demographics, industries, or buyer personas and identifies whether a message resonates better with logical buyers vs. emotional buyers.

Customization: Compare tech-savvy users vs. non-tech audiences.

Test messaging for budget-conscious buyers vs. premium buyers.

Compare B2B (long sales cycle) vs. B2C (impulse buyers).

3. Identifying the Strongest Value Proposition

💡 Prompt:

“We have three variations of a marketing message for our product. Analyze each one and determine which best communicates the value proposition to [target audience]. Provide a ranking and explain why one performs better than the others.”

Why it works: Tests different value angles (cost savings, efficiency, innovation, security, etc.), helping you pinpoint which messaging framework is most compelling.

Customization: Specify a competitive industry (e.g., “Which of these SaaS pricing messages is the strongest?”).

Analyze long-term vs. short-term value positioning.

4. Optimizing Call-to-Action (CTA) Effectiveness

💡 Prompt:

“Analyze the following call-to-action statements and rank them based on their effectiveness in driving engagement and conversions. Suggest improvements based on persuasive psychology and audience type.”

Why it works: It helps refine CTA language to maximize conversions and identifies whether a CTA is action-driven, passive, or unclear.

Customization: Compare direct vs. indirect CTA styles (e.g., “Buy Now” vs. “Discover Your Best Option”).

Optimize for landing pages, social media ads, email marketing.

How To Write Better ChatGPT Prompts For Market Research

By now, you’ve seen how effective ChatGPT can be for various areas of market research. 

However, you need to structure your prompts correctly to get the most valuable insights.

Here’s my battle-tested formula for strong ChatGPT prompts:

1. Goal – What are you trying to achieve?
2. Context – What background information does ChatGPT need to generate relevant insights?
3. Persona (Optional) – What expertise should ChatGPT mimic?

Let’s break these down so you can craft powerful, high-impact prompts for market research and any other AI use case you may have.

#1 Goal

Before anything else, you need to define the purpose of your prompt. 

Remember, the more precise your goal, the more relevant and actionable ChatGPT’s response will be.

So, you should first ask yourself what you’re trying to achieve with AI.

Are you looking to analyze competitor positioning? Identify emerging trends? Understand customer pain points?

Once you answer that, you can create efficient, goal-driven prompts like the ones below:

• “Identify the top three differentiators that [Competitor X] emphasizes in its messaging.”
• “Analyze social media discussions to uncover emerging trends in the [Industry Name] market.”
• “Compare pricing strategies across the top five competitors in [Industry Name] and suggest gaps we could leverage.”

Focusing on a specific goal like this helps ChatGPT deliver precise, useful insights. 

On the other hand, a vague prompt like “Tell me about my competitors” will yield nothing but generic results that won’t do you much good.

#2 Context 

Context is what turns a generalized response into a tailored, strategic market insight.

Without proper context, ChatGPT may provide high-level industry knowledge rather than targeted research that fits your needs.

Here are some key details you’ll want to include in your prompt:

• Target audience (e.g., enterprise buyers, Gen Z consumers, SaaS decision-makers).
• The geographic market you are researching (e.g., North America, APAC, global).
• Specific competitors or brands you want to focus on.
• The timeframe (past 12 months, next 5 years, etc.).

Adding specific details like this ensures that ChatGPT focuses on the most relevant data and provides more actionable insights instead of generic information.

Here’s an example of a bad prompt and how it can be improved with context:

❌ “Analyze customer reviews for my competitors.”

✅ Analyze negative customer reviews from the past 12 months for [Competitor X]. Identify recurring complaints, unmet expectations, and areas where they underperform compared to industry standards.”

You can see how the first prompt results in a much simpler and more generic output compared to a more contextual one.

Once you learn the ropes, this will all come naturally to you.

However, mastering new skills always takes time, and prompting is no different.

This is why Team-GPT provides a vast library of pre-made prompts for most common use cases across sectors.

These prompts are fully customizable, meaning you can easily tweak them to make them fit your specific requirements.

Moreover, you can use them as they are or as inspiration for creating custom prompts, which you can also save for later use.

As easy as that!

Want to learn more about prompting?

Check out this quick guide on how to prompt like a pro:

#3 Persona 

While not always necessary, assigning a persona can enhance ChatGPT’s responses. 

Specifying an expert role ensures that the insights are more refined, strategic, and tailored to real-world industry standards.

For example, you can instruct ChatGPT to take on a specific persona like this:

• “Act as a senior market research analyst specializing in B2B SaaS. Analyze recent product updates from [Competitor X] and identify their expansion strategy.”
• “You’re an experienced pricing strategist. Compare [Industry Name] competitors and identify underpriced or overpriced market segments.”
• “Act as a digital marketing strategist. Evaluate [Company Name]’s messaging against competitors and suggest improvements for positioning.”

Here’s an example of ChatGPT output for the same prompt with and without persona:

Which one provides more granular insights? The one that includes the persona, of course.

You can use it whenever you need to add extra authority and depth to your analysis.

Team-GPT includes a wide range of built-in personas (and options for building custom ones), helping you prompt ChatGPT in the best possible way from day one.

Here’s An Example of a Bad and a Good ChatGPT Prompt For Market Research

I prefer explaining everything through practical examples.

So, let’s take a closer look at a bad and good ChatGPT prompt and break them down.

🚨 Bad Prompt:

“Tell me about market trends in my industry.”

Why this is a bad prompt:

• Too vague – It doesn’t specify which industry we’re analyzing. ChatGPT could generate generic trends that may not be relevant.
• No timeframe – Are we looking at current trends, past trends, or future projections?
• Lacks target audience – Trends differ for B2B vs. B2C, enterprise vs. startups, etc.
• No clear objective – Is this for a new product launch, competitor benchmarking, or investment decision?

✅ Good Prompt:

“Analyze the top three emerging trends in the [Industry Name] market over the past 12 months. Focus on shifts in consumer behavior, technological advancements, and competitive landscape. Compare these trends with data from the previous 5 years to identify long-term patterns. Summarize key takeaways for businesses looking to enter this market.”

Why this is a good prompt:

• Clearly defined goal – The request is focused on emerging trends rather than just a general market overview.
• Provides context – Specifies a 12-month timeframe while also comparing to past data for deeper analysis.
• Includes key focus areas – Breaks down what to analyze—consumer behavior, technology, and competition—which makes ChatGPT’s response more targeted.
• Industry-specific – Ensures the trends are relevant to the user’s industry rather than generic insights.
• Actionable output – The last sentence directs ChatGPT to provide insights that businesses can use to make strategic decisions rather than just listing trends.

Next Steps: Collaborate With Your Team With ChatGPT on Team-GPT

Reading about ChatGPT for market research is one thing – putting it to work is where the real magic happens.

But if you’re serious about maximizing AI’s potential for your team or organization, Team-GPT is the secret advantage you need.

With Team-GPT, you can:

• Seamlessly collaborate on AI projects with your whole team in real-time.
• Customize ChatGPT (or any other AI model) to fit your exact research needs and integrate multiple AI models in the same chat.
• Supercharge market research with file and image analysis, prompt libraries, and persona-based insights tailored for competitive intelligence.
• Ensure the enterprise-grade security of your sensitive data.

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