Visibility in AI Systems

Course overview

Content is increasingly being found and evaluated not only through traditional search engines but also through AI-supported systems. This changes how visibility is achieved in the digital space, and new approaches such as AEO and GEO are gaining importance. The course addresses how visibility in AI systems can be systematically established and assessed. !Course Content !1. Classification of AEO and GEO *Distinction of AEO and GEO from traditional search engine optimization *Functionality of AI-supported systems in content selection *Importance of visibility in AI systems for content !2. Factors for Visibility *Characteristics of content that are preferred in AI systems *Importance of structure and clarity of content *Classification of relevant evaluation criteria !3. Implementation of AEO and GEO Measures *Adjustment of content for better visibility in AI systems *Consideration of GEO aspects in content creation *Approach to verify achieved visibility !4. Further Development of the Visibility Strategy *Monitoring developments in the field of AI-supported systems *Adjustment of content to changed evaluation logics *Deriving long-term measures for visibility !Professional Relevance *Foundation for the visibility of content in AI systems *Support in the application of AEO and GEO measures *Contribution to the future-oriented alignment of digital content

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-12-15T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-27T22:00:00.000Z · 2026-12-15T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Monheim am Rhein · Blended Learning