# The 25 Leading AEO and GEO Experts to Follow in 2026 Top researchers shaping the future of AI search visibility and answer engine optimization strategies. - **Source:** [Ahrefs Blog](https://ahrefs.com/blog) - **Published:** 2026-11-03 - **Topic:** [Marketing](https://brifing.si/c/marketing) - **Original article:** - **On Brifing:** https://brifing.si/s/a2fb51f6-83e4-4c5e-a9e4-2cda3012a8b9 ## Defining Modern Search Research The landscape of search is shifting from traditional blue links to AI-driven answer engines. This list identifies 25 experts who prioritize original, data-backed research over speculation. By analyzing over 17,000 pages of content, these professionals provide the empirical evidence needed to navigate the complexities of AI Overviews and generative search. ## Methodology Behind the Rankings To ensure credibility, the selection process required studies to carry a specific byline or analyst credit. Company-wide research without named authors was excluded from the count. Experts were ranked by the volume of original studies published since 2023, with ties broken by the number of external websites linking to their findings. ## AI Overviews and Click-Through Rates Research by Xibeijia Guan and Ryan Law highlights a significant impact on traffic, noting that AI Overviews can reduce clicks by 34.5%. These studies analyze hundreds of thousands of keywords to quantify how AI-cited pages perform within Google’s top 10 results and how stable these citations remain over extended time periods. ## Citation Mechanics and Fan-out Queries Experts like Metehan Yeşilyurt and Chris Long investigate how models like ChatGPT and Perplexity build fan-out queries. Their data reveals that ChatGPT may jump to 7.61 queries per prompt, while Google averages 9.06. This technical analysis helps marketers understand the underlying crawl activity and retrieval patterns influencing brand visibility in AI. ## The Reality of Technical SEO Signals Manick Bhan and Louise Linehan have challenged common assumptions regarding technical implementation. Their analysis of 137,210 domains shows that 97% of llms.txt files remain unread by models. Furthermore, tests on 1,885 pages indicate that adding schema markup often results in negligible changes to AI citation frequency or overall search visibility. ## Enterprise-Scale Search Data Analysis Mitul Gandhi and Mark Traphagen leverage massive datasets from seoClarity to measure AI impact across millions of keywords. Their research confirms that AI citation patterns often diverge from traditional organic rankings. By analyzing 77 million AI search visits, they provide a clearer picture of how brands maintain visibility in competitive environments. ## Predicting AI Visibility Factors Ross Hudgens identifies specific content structures that drive traffic, noting that pages naming versus competitors are strong predictors of AI search success. His 585-brand study found that including five or more homepage credibility statements can increase AI visibility by 62% for mid-authority brands, offering a concrete strategy for content optimization. ## User Behavior and Brand Lists Rand Fishkin’s research utilizes device panels to track how users interact with AI assistants. His findings suggest that Google processes approximately 373 times more searches than ChatGPT. Additionally, his 2026 data indicates that AI-generated brand lists are highly inconsistent, rarely repeating the same recommendations across different user sessions or prompt iterations. ## The Lifecycle of AI Citations Davis McCain’s lifecycle analysis of 1.19 million pages reveals that the half-life of an AI citation is only 11 days. This rapid decay underscores the necessity for continuous monitoring. His work also highlights that LinkedIn remains the most frequently cited domain for professional queries, providing insights into source authority. ## Conversion Rates in AI Traffic Andy Crestodina’s research offers a unique perspective on the value of AI-driven traffic. His analysis of 29 million visits shows that AI-referred visitors convert to leads at three times the rate of other organic traffic. This suggests that while AI may reduce total clicks, the quality of remaining traffic remains high. ## Future Outlook for Search Experts As AI search tools evolve, the work of these 25 experts becomes essential for digital strategy. Their focus on large-sample data and rigorous testing replaces guesswork with actionable intelligence. Following these researchers provides a competitive advantage in understanding how search engines retrieve, rank, and cite information in the coming years. ## Sources covering this story - https://ahrefs.com/blog/aeo-geo-experts/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._