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This article discusses a webinar featuring Chris Long, co-founder of Nectiv, focusing on how AI search engines use large language models (LLMs) to process queries. It covers the methods LLMs use to extract relevant content and provides real-world examples of changes that influenced mentions and citations.
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On January 14, 2026, a virtual webinar hosted by Josh Spilker will feature Chris Long, co-founder of Nectiv. The session will focus on how AI search engines utilize large language models (LLMs) to retrieve and process information. Attendees can expect a deep dive into the mechanics of LLMs as they fan out from a single prompt, executing multiple searches and extracting relevant content based on various criteria.
Chris Long will highlight the importance of query patterns and the structured formats that influence how content is ranked and displayed. Participants will gain insights into evaluation signals that impact visibility in search results. The webinar promises real-world examples, showcasing how changes in content strategy can lead to increased mentions and citations by LLMs, offering practical applications for content creators and SEO professionals.
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