Department of Marketing, City University of Hong Kong
AACSB International EQUIS - European Quality Improvement System
Brand Intelligence Unit
Methodology

BIU develops brand intelligence through a multi-dimensional evaluation system. The methodology integrates digital data, artificial intelligence, and established research methods to capture brand performance from complementary perspectives.

Big Data Analytics and Social Media Intelligence

  • Monitor brand conversations across global and regional platforms.
  • Analyze sentiment, engagement, event-driven reputation changes, and narrative consistency.
  • Use news analytics to evaluate the relevance and tone of brand-related media coverage.

AI and Large Language Model Integration

  • Assess brand recognition, emotional associations, and competitive positioning in AI-generated responses.
  • Track how brands are represented in AI-mediated information environments.
  • Apply machine learning approaches to identify emerging trends and reputation risks.

Traditional Research Methods

  • Use expert panels, industry advisory input, and academic review to strengthen methodological rigor.
  • Conduct consumer surveys, focus groups, brand awareness studies, and purchase-intention research.
  • Combine quantitative and qualitative evidence before publishing rankings or reports.