Generative Engine Optimization
Bachelor & Master Thesis
Content: Generative Engine Optimization (GEO) is an emerging practice that aims to increase a brand’s visibility in content generated by AI models – much like SEO does for traditional search. As AI-powered “answer engines” (e.g. ChatGPT, Google’s Search Generative Experience) gain popularity, users increasingly get direct, synthesized answers instead of just links. This shift requires content creators and businesses to adapt. In this topic, we will explore:
- Which GEO-specific content features (e.g., citations, statistics, readability) most significantly drive generative engine recommendations?
- How do changes in content presentation affect the synthesized responses generated by AI-driven search engines?
- Can we develop quantitative and qualitative metrics that accurately forecast content visibility in generative search outputs?
- What actionable guidelines can be established to help marketers integrate GEO techniques alongside traditional SEO strategies?
- Etc...
Preferred candidate:
- Can start as soon as possible maybe early May, 2025
- Basic knowledge about LLM, SEO
- Great coding skills
- Basic knowledge about marking is a big plus