Generative AI for Research

Also known as: GenAI for Research, Generative AI, AI-powered Research

Application of generative AI models (GPT, Gemini, Claude, etc.) to automate and accelerate phases of market research.

Generative AI for Research encompasses the use of large-scale generative models—such as GPT-4, Gemini, Claude, or Llama—to automate, accelerate, and enrich market research processes.

Concrete applications include: survey design and optimization, synthesis and coding of open-ended responses, generation of narrative reports from tabular data, translation and cultural adaptation of research instruments, sentiment analysis on free text, and hypothesis generation from automated literature reviews.

Generative AI does not replace the strategic thinking of the researcher, but it can dramatically reduce operational timelines. Its primary risk is hallucination: generating plausible but incorrect responses. Any research application therefore requires validation protocols and human oversight.

Atlantia integrates generative AI into its platform to accelerate insight delivery without sacrificing statistical rigor.