--- id: "/ai-search-visibility-seo-geo-aeo/expert/" title: "AI search visibility (SEO/GEO/AEO) for expert learners" url: "https://skillissue.dev/ai-search-visibility-seo-geo-aeo/expert/" --- [Home](/index.md) · [AI search visibility (SEO/GEO/AEO)](/ai-search-visibility-seo-geo-aeo/index.md) # AI search visibility (SEO/GEO/AEO) for expert learners AI search visibility (SEO/GEO/AEO) for expert learners brings together 8 resources with credited original sources. Use prerequisite levels to find learning material; unrated entities remain available in the full collection. [Beginner](/ai-search-visibility-seo-geo-aeo/beginner/index.md) [Intermediate](/ai-search-visibility-seo-geo-aeo/intermediate/index.md) [Advanced](/ai-search-visibility-seo-geo-aeo/advanced/index.md) [Expert](/ai-search-visibility-seo-geo-aeo/expert/index.md) 8 resources · page 1 of 1 - ### [Evaluating Verifiability in Generative Search Engines](/e/arxiv-2304-09848/index.md) by [Nelson F. Liu, Tianyi Zhang, Percy Liang](https://arxiv.org/abs/2304.09848) Human audit of four generative search engines measuring how many answer sentences are fully supported by their citations and how many citations support them. Advanced–Expert learning_resource paper West en - ### [Manipulating Large Language Models to Increase Product Visibility](/e/arxiv-2404-07981/index.md) by [Aounon Kumar, Himabindu Lakkaraju](https://arxiv.org/abs/2404.07981) Harvard study showing that an optimised text sequence added to a product page raises how often an LLM lists that product as its top recommendation. Advanced–Expert learning_resource paper West en - ### [Ranking Manipulation for Conversational Search Engines](/e/arxiv-2406-03589/index.md) by [Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi](https://arxiv.org/abs/2406.03589) Study of how text injected into product pages changes the order in which conversational search engines rank and cite those products. Advanced–Expert learning_resource paper West en - ### [Adversarial Search Engine Optimization for Large Language Models](/e/arxiv-2406-18382/index.md) by [Fredrik Nestaas, Edoardo Debenedetti, Florian Tramèr](https://arxiv.org/abs/2406.18382) ETH Zurich paper on preference manipulation attacks, where web pages or plugin docs steer an LLM to promote one product and discredit rivals. Advanced–Expert learning_resource paper West en - ### [C-SEO Bench: Does Conversational SEO Work?](/e/arxiv-2506-11097/index.md) by [Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun](https://arxiv.org/abs/2506.11097) Benchmark that tests published conversational SEO methods across several domains and with many competing actors, asking whether they raise visibility. Advanced–Expert learning_resource paper en - ### [Generative Engine Optimization: How to Dominate AI Search](/e/arxiv-2509-08919/index.md) by [Mahe Chen, Xiaoxuan Wang, Kaiwen Chen, Nick Koudas](https://arxiv.org/abs/2509.08919) University of Toronto experiments comparing which sources AI search engines and Google cite across verticals, languages and query types. Advanced–Expert learning_resource paper West en - ### [What Generative Search Engines Like and How to Optimize Web Content Cooperatively](/e/arxiv-2510-11438/index.md) by [Yujiang Wu, Shanshan Zhong, Yubin Kim, Chenyan Xiong](https://arxiv.org/abs/2510.11438) Carnegie Mellon paper introducing AutoGEO, which learns generative engines' content preferences and rewrites pages to match them. Advanced–Expert learning_resource paper West en - ### [E-GEO: A Testbed for Generative Engine Optimization in E-Commerce](/e/arxiv-2511-20867/index.md) by [Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, Tianyi Peng, Yuhang Wu](https://arxiv.org/abs/2511.20867) Testbed of e-commerce queries for measuring how rewriting product descriptions changes their ranking in generative engine answers. Advanced–Expert learning_resource paper West en [Plain-text Markdown copy](/ai-search-visibility-seo-geo-aeo/expert/index.md)