Data Quality
“AI is a tool to help you work faster, not a replacement for critical thinking and problem-solving,” says Alex Cattoni, Award-winning marketer and Founder of the Copy Posse. This is true greatly because of data quality concerns.
“AI tools like ChatGPT…can produce inaccurate or even dominica telemarketing database harmful results,” continues Cattoni. “This is known as an AI hallucination. Even tech researchers worry that people rely too heavily on these systems for important advice…”
Knowing this, you can’t always know if the research results you get from AI are sound or based on reliable sources. This can be dangerous when trying to understand and cater to your audience.
I mean, the last thing you want is for AI to tell you your audience loves funny TikTok videos only to find out they actually despise them.
Bias
“Much of the data AI is trained on contains society’s biases and prejudices,” explains senior marketing manager at HubSpot, Flori Needle. “For example, an image generator asked to create an image of a CEO might produce images of white males because of the historical bias in employment in the data it learned from.”
Unfortunately, I’ve seen this firsthand, and the bias is not limited to images. While there have been improvements in this in recent years, there are no guarantees that the findings presented by AI tools for market research won’t contain similar stereotypes or biased assumptions.
7 Best AI Market Research Tools
After extensive testing and analyzing how leading brands use AI for market research, I've zeroed in on seven tools that deliver real results.
Each excels in different areas—from call analysis to social listening to competitive intelligence—so you can choose based on your specific research needs.
Top AI market analysis tools:
Sales & Customer Insights: Gong, Breeze
Let's explore what makes each tool valuable and how to leverage their unique strengths.
Looking for AI marketing tools that go beyond research? Check out our article The Top 33 AI Marketing Tools.