Role-Based Programme
RB1156

AI for Brand Management

Smarter Brand Strategy, Content Planning & Market Insights

IMAGE REQUIRED
Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Brand Management across brand strategy, market research, audience understanding, messaging, and campaign planning.
  • Explore practical AI applications for analysing competitors, identifying brand opportunities, generating content ideas, and preparing brand communication.
  • Apply structured prompting techniques to create brand insights, messaging options, audience-focused content, and campaign concepts.
  • Use AI to improve productivity across brand reviews, research, content planning, presentations, and stakeholder communication.
  • Recognise brand consistency, source accuracy, copyright, bias, confidentiality, and human-review requirements when using AI in brand management.

Tools covered

Generative AI AssistantsAI Search & ResearchBrand ResearchCompetitor AnalysisAudience InsightsContent IdeationBrand MessagingSentiment AnalysisAI-Powered Presentation & Communication Tools

Who should attend

  • Brand Managers
  • Senior Brand Managers
  • Assistant Brand Managers
  • Brand Executives
  • Marketing Managers
  • Brand Strategy Professionals
  • Product Marketing Managers
  • Category Marketing Professionals
  • Marketing Communication Professionals
  • Campaign Managers
  • Content Marketing Professionals
  • Consumer Marketing Professionals
  • Digital Marketing Professionals
  • Brand Communication Managers
  • Marketing Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of marketing, branding, or customer communication
  • Familiarity with brand guidelines, campaigns, customer segments, or marketing content is helpful
  • Basic research and communication skills
  • No programming or technical AI knowledge required
  • No previous AI-tool experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to modern brand management
  • Exploring AI applications across brand research, strategy, messaging, content, and campaign planning
  • Understanding the difference between AI assistance, marketing automation, analytics, and brand judgement
  • Recognising AI limitations, hallucinations, generic outputs, and brand-consistency risks
Practical activities
  • Identifying high-value AI applications across a typical brand-management workflow
  • Comparing a traditional brand task with an AI-assisted approach

Scenarios

Competitor Activity to Brand Response

Competitor Signal → AI-Assisted Research → Positioning Analysis → Audience Impact → Brand Opportunity → Messaging Direction → Brand Response

Participants use AI to analyse a sample competitor development, identify its potential brand implications, and prepare a structured response aligned with brand positioning.

Brand Brief to Campaign Concept

Brand Objective → Audience → Insight → AI-Assisted Ideation → Messaging → Content Themes → Campaign Concept

Participants use AI to transform a sample brand brief into an audience-focused campaign concept containing messaging options, content themes, and communication ideas for marketing-team review.

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