Generative AI for Market Research

AI-powered customer feedback so you can take action now

Native AI turns insight into impact

Introducing Native AI, the always-on market intelligence platform that helps you understand, innovate, and create ideal experiences for your customers.


A better way to find the answers you need

Create impact through measurable improvements to products, customer experience, and marketing.

  • Analyze millions of qualitative and quantitative data points
  • Automate product and keyword tracking across the web
  • Converse with digital clones of your customers in real-time

Insights Dashboard

Customize and export reports with full choice of visualizations. Set up alerts for specific products and keywords, and monitor trends over time in order to predict future consumer behaviors and identify white-space opportunities.


Bring Your Own Data

Upload your first party data in any structured or unstructured format. Our platform is compliant with international data processing regulations to eliminate unnecessary risk.

Digital Twins

Converse with digital clones of your customers or your competitors' customers. Filter by demographic, purchase channel, behavior, and more. Create visualizations and export your results.


Expert White-Glove Service

Our platform is designed for you to be successful independently, but we're here to make sure you’re able to take full advantage of the value Native AI provides.

The Native AI Difference

We're not like other all-in-one insights platforms. Get a peek under the hood.

Data Safety & Privacy

We are compliant with all international data processing standards, and offer sensitive data detection and deletion to prevent accidental risk.

Advanced Orchestration

We use multiple Natural Language Processing methods to determine the best way to gather the answers you need with maximal accuracy.

Synthetic Output Controls

You are in charge of how much creativity Digital Twins may use in their answers, or stick exclusively to facts within the source data.

Generative AI for market research

The advent of artificial intelligence has accelerated the potential and scope of many industry sectors, notably market research. Within this expansive realm, the concept of Generative AI emerges as a key methodology poised to refurbish the conventional business operations. Generative AI employs algorithms that utilize randomness to produce new data, sounds, or images. It not only duplicates pre-existing patterns, but also creates novel combinations enlightened by the original data. Exploring this innovative approach further, one can benefit from various examples, tools, and the impressive market size of the generative AI.

Delving deeper into its implications for market research, one vivid generative AI for market research example is evident in predictive modeling. It uses generative AI to forecast market trends, customer behavior, and competitor activities. This facilitates a proactive approach to business strategies and decisions, thereby mitigating potential risks while enhancing profits. Another salient example is the use of generative AI in analyzing customer sentiment. It aids in interpreting reviews, social media posts, and other public opinions, delivering deeper insights into customer experience and preferences.

The panorama of data analysis and user experience is revolutionized by generative AI tools for market research. Such tools offer swift, efficient exploration of large datasets, thus saving considerable time and resources. AI-powered tools automate the desperate hunt for viral content on the internet. These tools enhance privacy protection by generating synthetic data that retains the original's statistical properties but avoids the risk of exposing identifiable information.

Growing rapidly, the generative AI market size is an testament to its potential and effectiveness. It is backed by some of the world's biggest tech companies including Google, Uber, and Meta. According to an analysis by P&S Intelligence, the generative AI market was valued at $195.4 million in 2019 and is predicted to reach $37 billion by 2030, registering an impressive CAGR of 52.8% during the forecast period of 2020-2030.

We have witnessed the transformative potential of generative AI through various generative AI examples. It's not just about creating hyper-realistic portraits, designing unique fashion outfits, or generating music. The scope broadens to content creation, product designing, trend analysis, customer sentiment analysis, and more in the context of market research that is reshaping the conventional exploration and interpretation of data. To wrap up, investing in generative AI for market research has proven to be a game-changer for many businesses, offering a fast track towards growth, innovation, and enhanced customer relations.

Ready to turn insights into action?