Competitive Analysis with AI Agents for Market Researchers

Course overview

Information about competitors is constantly changing, while the manual collection of relevant data is time-consuming and resource-intensive. Without regular updates, analyses quickly lose their significance. AI agents offer an approach to systematically and repeatedly compile information for competitive analysis. !Course Content !1. Building a Competitive Analysis *Defining relevant comparison criteria *Selecting suitable information sources *Structuring collected competitor data !2. Using AI Agents for Information Gathering *Configuring an agent for recurring research *Automated collection of relevant information *Filtering and pre-selecting collected data !3. Regularly Updating the Analysis *Setting up recurring processes for data collection *Comparing new information with existing data *Identifying relevant changes in the competitive environment !4. Preparing and Utilizing the Results *Summarizing the analysis results *Presenting key insights for decision-making *Deriving observation points for follow-up analyses !Professional Relevance *Current overview of the competitive environment *Relief in recurring data collection *Foundation for informed market assessments

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2026-10-24T22:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-11-21T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-10-24T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-27T22:00:00.000Z · 2026-11-21T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2026-11-21T23:00:00.000Z · Monheim am Rhein · Blended Learning

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