More than 60% market researchers use artificial intelligence in their work, compared to 39% last year. Furthermore, 71% believe that AI will streamline their results in the future (MRII). If you are waiting for a sign to join those who explore the full AI potential, this is it. Gone are the days of manually going through numerous surveys or analyzing competitors. AI-powered research tools reveal consumer insights, forecast market trends, and even generate reports based on the provided data.
The reality makes it almost impossible to avoid AI, so we might as well benefit from it! This article explores the top market research AI tools that can improve the way brands collect data, analyze customer behavior, track business competitors, and generate insights. Let’s dive in!
What Are AI Market Research Tools?
AI market research tools are programs that use machine learning (ML), natural language processing (NLP), or generative models to automate or improve the collection and analysis of market data. They are designed to process massive volumes of information, including survey data and customer reviews, and surface valuable insights.
The result? Marketing professionals can identify where their business stands, its weak spots & challenges, and what strategic actions are needed to stay profitable.
In What Ways Can AI Market Research Tools Assist My Business?
The best AI market research tools do more than automate surveys or speed up analysis. Instead, they help you understand your target audience and make better decisions based on the available data.
I suggest that we take a closer look at what you can do when equipped with this type of software:
- Track customer preferences in real time: Some tools help you analyze feedback, product reviews, and social media posts to detect changes in consumer sentiment and expectations.
- Reveal strengths & weaknesses in your market position: AI tools for market research can also track your competitors’ campaigns across digital channels. This can become a foundation for your content marketing strategy.
- Improve surveys and response quality: Some apps can detect biased phrasing and adapt flows mid-survey. As a result, your surveying process improves.
- Make smarter marketing decisions: AI for market research can also detect market patterns and forecast demand using predictive analytics and machine learning.
Best 7 AI Market Research Tools in 2025
With so many platforms promising effectiveness, speed, and automation, the real challenge for businesses is finding solutions that bring value. To save you time, I hand-picked the best AI tools for market research and split them into 4 key categories depending on their roles.
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Tool Name
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Key Features
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Advantages
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Best For
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Pricing
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AI Tools for Qualitative Research
The first section features the top 2 apps for qualitative research. Let’s take a closer look!
1. Sembly
Sembly is a top choice to turn qualitative research into actionable insights. It automatically captures and analyzes conversations across popular platforms and even supports offline meetings. The app uses advanced LLMs and natural language processing to deliver outcomes: summaries, decisions, key items, and next steps. What does it mean in practice? Focus groups, customer voice-based interviews, and sales calls become research data that can be shared across teams.
With GDPR compliance and enterprise-grade security, Sembly is a reliable tool in AI market research for companies that need both effectiveness and data protection.
Key Features
- Multi-meting AI chat: With Sembly, you can identify trends and patterns across all conversations it attends. Track customer behavior, its changes, analyze sentiment, and ask questions of any complexity about your meetings.
- AI artifacts: Using Sembly as your AI for market research, you can generate comprehensive deliverables such as project outlines, customer feedback reports, or meeting minutes based on available content.
- Key items: It is also possible to automatically extract risks, issues, events, or notable items from any meeting you add the app to.
- Multilingual meeting transcriptions: Sembly supports conversations in 45+ languages and provides accurate transcripts with identified speakers and exact time stamps.
- Meeting notes & summaries: Aside from the features mentioned above, the tool also provides automatic notes and objective summaries for all conversations, whether they are online or offline.
- AI tasks: After each meeting, Sembly will extract tasks with their brief descriptions, assignees, and assigners, as well as deadlines, so you can focus on market research processes, not admin work.
Use Cases
Now that you know the key features, it is time we talk about the use cases of Sembly as an AI for market research:
- Brand positioning: You can capture and analyze customer interviews, focus groups, and internal workshops. Sembly automatically identifies recurring themes, pain points, and differentiators that help improve brand messaging.
- Marketing strategy: What about transforming your brainstorming sessions, stakeholder meetings, and customer calls into structured insights? Sembly can do it as well.
- Content planning: You can also use meeting transcripts and AI artifacts to find customer questions or pain points that repeat from call to call.
- Customer insights repository: Sembly lets you store and search transcripts across multiple meetings. With multi-meeting chat, you can pull insights from any call within minutes.
Pricing
- Personal: $0
- Professional: $10/month, billed annually
- Team: $20/month, billed annually
- Enterprise: Custom
2. Speak
Speak is a transcription-and-analysis AI tool for market research that extracts voice and text data insights. The platform has become helpful for market research teams, where AI helps companies improve marketing efforts by scraping data from various websites and making informed decisions.
Key Features
- Advanced NLP insights: Speak analyzes transcribed content to extract keywords, topics, named entities, and sentiment trends.
- Qualitative research: The platform helps to analyze interviews, focus groups, and open-ended surveys. It structures language data into insights that can be shared with stakeholders.
- Web scraping: Speak can scrape web pages, news articles, and online content for text analysis.
- Visual research repositories: The app generates interactive repositories with transcripts, visualizations, deep search, and media playback.
Use Cases
Given Speak’s ability to extract real-time insights from multiple pages, it can identify and assess common pain points to improve the customer acquisition strategy. Here are the main use cases:
- Qualitative research: Analyze transcripts from interviews, focus groups, and workshops.
- Web & media data analysis: Combine scraped web pages, news articles, or uploaded media with internal transcripts.
- Marketing & content strategy: Extract common customer questions, trending topics, and emotional drivers from transcripts and online discussions.
Pricing
- Per-Use: $0
- Starter: $15/month
- Pro: $50/month
- Team: $100/month
- Enterprise: Custom
AI Tools for Sentiment Analysis & Social Listening
The next couple of AI apps are a good addition to the team if you need help with sentiment analysis or social listening. Let’s examine what these variants have to offer.
3. Brandwatch
Brandwatch is a social listening platform that uses AI for market research purposes, such as monitoring users and content. It helps businesses and influencers track mentions, consumer sentiment, and industry trends. The tool provides real-time information about how users perceive a certain brand.
Key Features
- Unlimited, boolean-powered search: You can run unlimited queries using Boolean logic across datasets.
- Historical & multilingual data coverage: It is also possible to access up to one year of historical data, surface trends over time, and monitor sentiment across multiple languages.
- AI-powered sentiment: The app lets you detect positive, neutral, and negative mentions.
- Entity recognition & topic classification: Automatically recognize brands, people, and key topics using AI.
Use Cases
You may have guessed the main use cases, but I suggest we take a close look at some of the most useful ones when it comes to AI market research:
- Reputation & crisis monitoring: Brandwatch offers real-time detection of spikes in conversation or sentiment shifts, so marketing teams can address brand issues before they escalate.
- Trend vigilance & competitive positioning: You can monitor competitor mentions and trending topics across platforms and languages.
- Automated insight summaries & reporting: Built-in AI enables you to turn hours of raw social data into clear narratives.
Pricing
Custom pricing.
4. Glimpse
Glimpse is a trend discovery platform that uses AI and predictive analytics to track emerging market trends. The tool provides a broad range of options for SEO specialists, e-commerce stores, market research teams, PR agencies, and investing departments.
Key Features
- Trend discovery: Glimpse shows the emerging trends, including search volume and year-over-year growth metrics.
- Trend alerts & intelligent dashboards: You can monitor growth trajectories, receive alerts on sharp shifts, and visualize trends across selected keywords and categories.
- Channel breakdown: The platform also shows which channels drive conversations around each trend.
Use Cases
What makes Glimpse unique is its large dataset, which allows the tool to detect early trends and give brands time to refine product development. Here are the main use cases:
- Early trend detection: Identify what consumers are searching for before the trends go mainstream. This lets marketing teams time launches with precise demand forecasts.
- Dynamic reporting & alerting: You can receive automated alerts on trend acceleration, branching content opportunities, or keyword trajectory shifts.
Pricing
Custom pricing.
AI Tools for Competitive Intelligence
Our 5th and 6th AI tools for market research focus on competitive intelligence. Let’s examine their offerings in detail.
5. Perplexity AI
Perplexity is an AI tool that provides contextualized research insights. It uses advanced ML and NLP to find and scan information, providing findings that are most valuable and relevant to a particular brand. Perplexity also has substantial reasoning, citing information that a business might especially benefit from.
Key Features
- Conversational AI research assistant: The app combines large language models with real-time search across the web to provide users with responses featuring citations and contextual explanations.
- Deep research mode: Perplexity can perform searches, digest content, and generate comprehensive reports within minutes.
- Internal knowledge search: The tool enables users to search across both web and internal files, improving knowledge management, collaboration, and overall quality of responses.
Use Cases
Use cases make AI market research tools truly valuable to professionals. This section traditionally features top usage ideas:
- Competitive & market intelligence: You can compare companies, retrieve quarterly financials, or analyze competitor data using conversational search.
- Deep research for strategy & content: The app can help you create marketing reports or trend analysis, which can be useful for further strategy & content optimization.
- Centralized knowledge access: Paid users can query both external and internal data sources, creating a unified “AI-powered insight platform”.
Pricing
- Free: $0
- Pro: $20/month
- Enterprise Pro: $40/month
6. Crayon
Crayon is a competitive intelligence platform that tracks competitor data, including their websites, product updates, ad campaigns, and marketing content. Using AI models and data-driven analytics, it breaks down information into battle cards, market reports, and insights that help professionals stay ahead of the curve.
Key Features
- Competitive tracking: Crayon monitors competitor websites, product launches, press releases, and ad campaigns.
- Battle cards: The app automatically generates and updates battle cards with competitor strengths, weaknesses, and positioning.
- Market reports & insights: The tool also uses AI-powered analysis to turn competitor data into precise reports.
Use Cases
- Competitive benchmarking: Crayon enables users to track competitor data (messaging, pricing changes, and content updates) and identify gaps and opportunities.
- Marketing & content optimization: You can monitor competitor campaigns and messaging to adjust your sequences, product descriptions, and improve the content creation process.
Pricing
Custom pricing.
AI Tools for Survey Creation & Analysis
Last but surely, not least, I have a couple of tools for survey creation and its analysis. Let’s take a closer look at the variants you have.
7. Quantilope
Quantilope is a consumer research platform that strives to provide the deepest insight into prospects and customers for efficient targeting, pitching, and retention. Built on intelligent artificial intelligence models, Quantilope is a great tool for improving your competitive intelligence and market research insights.
Key Features
- Automated tracking research: You can continuously track brand health, awareness, and campaign performance; your dashboards update as responses come in.
- AI co-pilot: Quantilope’s AI assistant helps create better surveys by recommending methods, writing questions, or structuring logic flows.
- Automated research methods: The app provides a library of more than 15 advanced methodologies for more accurate data collection and analysis.
Use Cases
Quantilope is a great choice for product developers, marketers, UI/UX designers, and other specialists who work closely with the research department. Here are the key use cases this example of AI market research tools offers:
- Brand & campaign tracking: Professionals can automate brand health and campaign performance studies to understand how their brand is perceived over time.
- Pricing & product optimization: The app enables users to explore methodologies such as Conjoint and Van Westendorp to test willingness to pay, feature trade-offs, and product configurations.
- Segmentation & consumer insights: Finally, you can run segmentation studies to understand key audience groups based on demographics, attitudes, and behaviors.
Pricing
Custom pricing.
8. GWI Spark
GWI Spark narrows its research operation area to demographic and psychographic analysis. It uses advanced models to determine consumers’ feelings, topics they discuss, and other specific information.
Key Features
- Consumer insights from real surveys: GWI Spark provides instant answers based on trustworthy, real‑world survey data.
- Global & local audience coverage: You can explore both broad trends and local insights. The location’s filtering ensures you get responses that are relevant to you.
- Conversational interface: The platform has a simple design, so all you have to do is type your question, and the app will generate a response within seconds.
Use Cases
GWI Spark precisely defines target audiences and what they have in common. It makes the tool highly functional for customer support, marketing teams, data analysts, and product managers.
- Improved presentations: The app extracts audience insights that can improve the quality of pitches, showing deep understanding, relevance, and credibility.
- Content & strategy: Content marketers and strategists can detect and analyze consumer concerns, values, and behavioral trends.
Pricing
Custom pricing.
How to Choose the Best AI Market Research Tool
Here comes the main challenge: How do you find AI market research tools that match the needs of your business? There are many options to choose from, but only a few actually align with your goals. In this section, I have listed the core steps with some tips that will help you find the right addition to your toolset.
Define Your Research Scope and Intelligence Needs
The first step is to clarify what exactly you want to achieve. Do you need quantitative data? Then you may look for survey creation and structured analytics tools such as Qualtrics or Quantilope. If you need qualitative insights, prioritize voice analysis and sentiment tools such as Sembly AI or Speak.
Example: A marketing team that plans a product launch should focus on consumer sentiment tracking and competitor monitoring, while a product manager testing pricing likely needs survey automation.
Evaluate Data Integration and Source Coverage
The next step is to check which data sources the tool in question covers. Customer or product insights come in different shapes, so ensure the app supports them all: surveys, customer reviews, social media, competitor websites, and internal reports. I recommend prioritizing AI market research tools with API integrations, BI dashboards, or analytics stacks.
Tip: If your sales team actively uses HubSpot or Salesforce, choose a platform that can sync market analysis and customer insights directly into those workflows.
Assess AI Potential and Compliance
Almost every app promotes the potential of its AI in market research. However, only a few tools actually live up to those expectations. It is very important to carefully examine and assess the true potential of the platform using trial periods before committing. Here is what you can pay attention to:
- Natural language processing
- Predictive modeling and algorithms
- Compliance with GDPR, HIPAA, and other regulations
- Customization options
Focus on Usability and Actionability of Insights
The last step when choosing the best AI market research tools is to focus on the features your team needs, rather than the quantity of features the app offers. Look for intuitive dashboards, visual reporting, and charts that are easy to export or share. Avoid platforms that turn valuable insights into complex spreadsheets with little or no context at all.
Example: A consumer insights team at a retail brand may need reports for executives, while a digital marketing team benefits from tools that sync directly into SEO.
Trends Shaping the Future of AI in Market Research
We can all agree that AI changes the way insights are discovered and acted on. AI market research tools are not the exception. They have become the key to identifying customer intent, market shifts, and opportunities for the company’s growth. However, what’s coming next? Here is a brief list of the key trends:
- Predictive analytics & personalization at scale: AI tools are no longer limited to analyzing past behavior. On the contrary, these days more and more platforms use predictive models to forecast future trends and personalize information for specific audience segments.
- Rise of agentic AI in research workflows: Agentic AI is about completing tasks, not just analyzing provided data, and that’s where we are headed. Furthermore, around 66% of executives state that agentic AI already delivers measurable value through increased productivity, among 77% that have already adopted this type of AI (PwC).
- Shift toward generative engine optimization (GEO): GEO-optimized content can help you increase visibility by up to 40% (Arxiv). It has become a crucial element to ensure your product, messaging, and customer data are visible and accurately represented.
- Demand for transparency & ethical AI: 38 out of 71 companies have already added key human rights to their AI principles (WBA). With the GDPR and EU AI Act in place, transparency and ethical use of AI tools are mandatory, not recommended.
These trends confirm the main idea: AI potential is growing, and market research is about to become more accurate, rather than assumptive.
Wrapping Up
Gone are the days of manual information processing; AI market research tools are here to optimize the process. They help teams move faster, work smarter, and turn unstructured customer or competitor data into strategic outcomes. The key to choosing one? Prioritize marketing AI companies that offer solutions matching your scope, data, and your team’s needs. This way, software not only automates some tasks, but also improves the results.
In this article, we reviewed proven 8 AI tools for different purposes and budgets. I hope you already found your next favorite app. Good luck!
FAQ
What are the key applications in the AI market research?
Here are the key AI market research tools, depending on their goal & role:
- Survey automation: Quantilope and Qualtrics.
- Sentiment analysis: Brandwatch and Speak AI.
- Competitive intelligence: Crayon and Perplexity AI.
- Voice and text analysis: Sembly AI.
- Trend forecasting: Glimpse and GWI Spark.
What are the best free market research tools?
While free AI market research tools do not offer advanced functionality, they are a great choice for early-stage insights. Here are some of the best:
- Sembly AI
- Perplexity AI
- Glimpse
- Google Trends
- AnswerThePublic
Can AI fully replace traditional market research methods?
No, and it should not. Human researchers still play a key role in interpretation, cultural nuance, ethical decisions, and custom strategy. Instead, hybrid is the future: while AI market research tools handle data visualization and process large volumes of information, humans guide context, judgment, and business impact.
What are AI tools in market research?
AI-powered market research tools are software solutions that use artificial intelligence technologies like machine learning and natural language processing to gather, analyze, and interpret market data.
AI tools used for market research help understand customer behavior, interests, purchasing decisions, and competitors’ actions. Their biggest advantage is that they automate data analysis, thus reducing manual effort and admin work.
Why is AI crucial for marketing research?
AI in market research enables faster and more accurate analysis of large datasets, delivering actionable insights that human workers typically take days, weeks, and even months to reach.
It also helps companies optimize workflow processes, improve customer relations, and refine marketing plans.
How can you tell which AI tool is best for your research purposes?
Firstly, you should define your main business objectives. Then, evaluate an AI market research tool’s data integration capabilities, such as how it sources and combines information from different platforms. Lastly, consider the program’s interface, usability, and quality of insights.
Is ChatGPT an optimal solution for market research?
ChatGPT can be a valuable AI tool for market research. Mostly, with tasks such as summarizing massive datasets. However, it may not provide the depth of specialized insights tailored directly to your business. The best approach is to make it a complementary tool to Sembly AI, for example, or any other software you choose.
How does Sembly apply AI to enhance market research?
Sembly AI uses proprietary natural language understanding models and speech analytics to extract valuable insights from the web, customer interactions, meetings, and discussions. Its AI can detect user intent and audio & text data decision-making patterns. As a result, businesses can uncover hidden consumer concerns, preferences, and needs, investing fewer resources while achieving better market positioning and messaging strategies.
Featured as one of the top productivity software for businesses in 2025, Sembly AI focuses on improving team collaboration and efficiency. It scans industry reports, financial statements, and online data to detect high-potential market shifts and competitors’ movements.
- Multi-meeting chats
- AI Insights
- AI Artifacts
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