This is an experimental podcast made by Google's new product, NotebookLM. The podcast discusses Generative Engine Optimization (GEO) and the differences between AI search and traditional search. It also includes references to relevant literature and papers, concluding with a perspective on the future of marketing.
Generative Engine Optimization (GEO)
GEO is an emerging concept in the field of search engine optimization, specifically tailored for AI-powered search engines. Unlike traditional SEO, which focuses on keywords and backlinks, GEO emphasizes creating content that AI models can understand and generate responses from effectively.
References
- Dai, M. (n.d.). From SEO to AI Engine Optimization. MasterDai Blog. https://masterdai.blog/from-seo-to-ai-engine-optimization/
- Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K., & Deshpande, A. (2023). GEO: Generative Engine Optimization. arXiv preprint arXiv:2311.09735. https://arxiv.org/pdf/2311.09735
- Foundation Inc. (n.d.). Generative Engine Optimization (GEO): The Future of SEO. Retrieved from https://foundationinc.co/lab/generative-engine-optimization
- Nguyen, B. (2023, August 28). Google SGE links to organic search results in 75% of queries, study finds. Search Engine Land. https://searchengineland.com/google-sge-links-organic-search-results-study-436275
