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.
8 resources · page 1 of 1
Evaluating Verifiability in Generative Search Engines
by Nelson F. Liu, Tianyi Zhang, Percy Liang
Human audit of four generative search engines measuring how many answer sentences are fully supported by their citations and how many citations support them.
Manipulating Large Language Models to Increase Product Visibility
by Aounon Kumar, Himabindu Lakkaraju
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.
Ranking Manipulation for Conversational Search Engines
by Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi
Study of how text injected into product pages changes the order in which conversational search engines rank and cite those products.
Adversarial Search Engine Optimization for Large Language Models
by Fredrik Nestaas, Edoardo Debenedetti, Florian Tramèr
ETH Zurich paper on preference manipulation attacks, where web pages or plugin docs steer an LLM to promote one product and discredit rivals.
C-SEO Bench: Does Conversational SEO Work?
by Haritz Puerto, Martin Gubri, Tommaso Green, Seong Joon Oh, Sangdoo Yun
Benchmark that tests published conversational SEO methods across several domains and with many competing actors, asking whether they raise visibility.
Generative Engine Optimization: How to Dominate AI Search
by Mahe Chen, Xiaoxuan Wang, Kaiwen Chen, Nick Koudas
University of Toronto experiments comparing which sources AI search engines and Google cite across verticals, languages and query types.
What Generative Search Engines Like and How to Optimize Web Content Cooperatively
by Yujiang Wu, Shanshan Zhong, Yubin Kim, Chenyan Xiong
Carnegie Mellon paper introducing AutoGEO, which learns generative engines' content preferences and rewrites pages to match them.
E-GEO: A Testbed for Generative Engine Optimization in E-Commerce
by Puneet S. Bagga, Vivek F. Farias, Tamar Korkotashvili, Tianyi Peng, Yuhang Wu
Testbed of e-commerce queries for measuring how rewriting product descriptions changes their ranking in generative engine answers.