Summary: AI speeds up the three most time-consuming parts of market research: building company and contact lists from scattered sources, filtering those lists against criteria, and classifying the replies that come back. Figures such as market size, prices, and trade volumes should come from primary sources, not from an AI model. This guide shows where we use AI in our own work and where we do not.
What Has AI Changed in Market Research?
Classic market research has two parts: understanding the size and direction of a market, then finding the individual buyers in it. For the first part, sources such as Trade Map, UN Comtrade, and national statistics offices have been freely available for years. AI's real impact has been on the second part: finding and filtering buyers.
Building a list of distributors in a country used to mean going through association member lists, trade fair catalogs, and websites one by one. Today that scanning can be automated, and AI can read each company's website and decide whether it matches your criteria.
Where Do We Use AI in Market Research?
Mapping buyers
In our published Güldez Kozmetik case, the targets were pharmacy chains, cosmetics distributors, and marketing agencies in Georgia. Using Google Maps and web crawling, we listed the pharmacy chains in the country and identified 480 decision-makers. That list was the foundation of a three-week campaign that ended with 15 meetings and 4 signed agreements.
Finding and filtering decision-makers
In the Solvera case, we used AI on web crawls and LinkedIn data to identify companies with high digitalization potential, then pinpointed 2,694 key decision-makers at those companies. The AI's job was to read each company's website and each person's title and say whether they fit the target profile. Doing that by hand would have taken weeks.
Classifying replies
In the campaigns we ran for clients between March and August 2026, the messages of 3,083 people who replied were classified by AI. The breakdown:
| Reply type | Share |
|---|---|
| Not interested | 33% |
| Interested or moving toward a meeting | 22% |
| Not the right contact | 16% |
| Postponed | 8% |
| Neutral / unclear | 7% |
| Person has left the company | 7% |
| Evaluating | 6% |
| Opt-out request | 1% |
This classification does two things. First, it separates the 22% of interested replies from the rest, so the sales team can answer those first. Second, it tells you something about the market: "not the right contact" and "has left the company" together make up 23%. That suggests the freshness of the target list and the choice of titles deserve at least as much effort as the message itself.
Where Does AI Go Wrong?
It makes up numbers. Ask an AI chatbot "How much furniture does Germany import?" and you may get a plausible but wrong figure. Always take market size, import volumes, and prices from primary sources. We explain how to read trade data in our B2B Market Research Guide.
It works with stale data. Contact information gathered from the web goes out of date. The 7% of replies telling us the person had left the company is a concrete sign of this. Run a freshness check on any AI-built list before sending.
It misses context. The word "export" on a company's website does not make it an importer or distributor. Spot-checking the AI's filtering by hand keeps one bad criterion from spreading through the whole list.
It does not know country differences. The same message and method perform very differently across markets. In our data, LinkedIn invitations were accepted 35% of the time in Turkey and 11% in Western Europe. AI cannot predict that gap in advance; only field data shows it.
Which Tasks Belong to AI and Which to People?
| Task | AI | People |
|---|---|---|
| Building company and contact lists | Fast and broad | Set the criteria, spot-check samples |
| Filtering companies by profile | Reads websites and titles | Decide borderline cases |
| Market size and trade figures | Should not be used | Take them from primary sources |
| Writing a personalized first line | Produces a draft | Check tone and accuracy |
| Classifying replies | Fast, can misread unclear replies | Answer interested replies, read unclear ones |
| Choosing the market | Summarizes the data | Makes the decision |
How to Get Started With AI-Powered Market Research
- Make the question specific. Instead of "Which country should I sell to?", ask "Which distributors operate in the five countries that import my product the most?" A concrete question makes both the AI's work and your checks easier.
- Take figures from primary sources. Use trade data for market size and trends; use AI for finding buyers, not for producing those numbers.
- Test on a small sample. Check the first 50 records of an AI-built list by hand. If the error rate is high, fix the criteria before scaling up.
- Measure the result in the field. Replies to your outreach are the best test of the list. The share of "not the right contact" replies is a good measure of list quality.
Frequently Asked Questions
Can AI replace market research?
No, but it shortens the most time-consuming parts. Building buyer lists, filtering them, and classifying replies all go faster with AI. The market decision and the accuracy of the figures remain human responsibilities.
Can I use ChatGPT for market research?
It is useful for understanding a topic, drafting questions, and suggesting sources. Do not use it for market size, import volumes, or prices; verify those in primary sources such as Trade Map and UN Comtrade.
How reliable are AI-built buyer lists?
That depends on how clear the criteria are and how fresh the sources are. In our campaigns, 16% of replies said "not the right contact" and 7% said the person had left. Spot-checking the list before sending helps bring those shares down.
Can AI classify prospect replies accurately?
In our campaigns, 3,083 replies were classified automatically, which made it possible to separate interested replies from the rest. We have not separately measured the classification accuracy, so we recommend that a person reads replies labeled "interested" or "unclear."
AI is a tool that speeds up market research; asking the right question and measuring the result in the field are still at the center of the work. To map buyers in your target market together, see our Market Research service or talk to us in a free consultation.
Want to learn more about this topic?
Schedule a free discovery meeting with our expert team and let us analyse your needs together.
Get a free consultation →