AI-Driven Generation of Key Intelligence Topics and Questions: Enhancing the Work of CI Professionals

Abstract

Competitive Intelligence (CI) is a critically important instrument for monitoring an organization's external
environment, providing management with unique insights into markets, competitors, trends, and other entities influencing
the organization's strategic position. Simultaneously, it serves as an effective tool for mitigating risks by identifying and
interpreting early signals from the competitive landscape, while also uncovering opportunities for capturing competitive
advantages. Recent developments in artificial intelligence (AI), particularly the emergence of Large Language Models (LLMs),
have opened new possibilities for enhancing Competitive Intelligence (CI) processes. This paper explores the potential of
LLMs in addressing specific CI tasks through CI-oriented prompt design. The study specifically focuses on the planning phase,
demonstrating how LLMs can support the identification and formulation of Key Intelligence Topics (KITs) and Key Intelligence
Questions (KIQs). In addition, the paper discusses the application of LLMs in the data collection phase, emphasizing their role
in identifying relevant sources aligned with the direction of the KIQs. The implications of integrating LLMs into CI are
substantial; however, this implementation must be approached cautiously to ensure accuracy, reliability, and ethical
compliance emphasizing the need for thorough validation and human oversight.