Query Fan-Out: What 60,000+ Searches from ChatGPT & Google Show with Chris Long

​AI search isn’t just about one query or one answer. Each prompt sets off a chain reaction behind the scenes.

Content and SEO teams are facing a new reality: LLMs like ChatGPT and Google Gemini run multiple searches, compare results, and extract data in ways that upend traditional optimization.

If you want your content to show up in search results, you need to understand the real retrieval logic. This session will show you how.

​Chris Long is the Co-Founder of Nectiv and a leading voice in AI search analysis, known for his deep-dive research on how LLMs retrieve, evaluate, and cite content across the web.

What You’ll Learn:
• How query fan-out works and why one prompt triggers multiple, layered searches in ChatGPT and Google
• The exact query patterns LLMs use (and what that means for your content structure)
• Why structured formats like tables, lists, and Q&A blocks are now critical for extraction and citation
• See actual examples of how content changes increased LLM mentions and citations.

​Who Is This For?

• ​SEO & Content Leaders – Get practical frameworks to optimize for the new AI search stack

• ​Growth & Marketing Teams – Understand how LLMs evaluate and surface your brand

• ​Agencies & Consultants – Advise clients with up-to-date, evidence-backed strategies for AI-first search

​Event Details

• ​Date: 1/14/26

• ​Time: 1pm EST

• ​Location: Live on Zoom (Recording will be available for all registrants)

​Save your spot now and get ahead of the next wave in search.