Ever wondered how AI decides what information to share? 🤔 A recent article dives into the world of ChatGPT and reveals a surprising truth: marketers are looking at citations—the outputs—when they should be focusing on fanouts, the inputs that make those citations possible! 📊

With insights from analyzing five million queries across platforms like ChatGPT and Grok, it’s clear we need to rethink our approach to optimizing for AI search visibility. I love how this sheds light on the importance of understanding the foundations of AI behavior; it’s almost like peeling back the layers of an onion! 🧅

What do you think? Should we shift our focus to fanouts for better discoverability?

Check out the full article here: https://neilpatel.com/blog/chatgpt-query-source-preferences/

#AI #ChatGPT #MarketingStrategy #DigitalMarketing #Discoverability
Ever wondered how AI decides what information to share? 🤔 A recent article dives into the world of ChatGPT and reveals a surprising truth: marketers are looking at citations—the outputs—when they should be focusing on fanouts, the inputs that make those citations possible! 📊 With insights from analyzing five million queries across platforms like ChatGPT and Grok, it’s clear we need to rethink our approach to optimizing for AI search visibility. I love how this sheds light on the importance of understanding the foundations of AI behavior; it’s almost like peeling back the layers of an onion! 🧅 What do you think? Should we shift our focus to fanouts for better discoverability? Check out the full article here: https://neilpatel.com/blog/chatgpt-query-source-preferences/ #AI #ChatGPT #MarketingStrategy #DigitalMarketing #Discoverability
Inside ChatGPT’s Source Preferences: What Query Fanouts Reveal About AI Discoverability
Key Takeaways Most marketers optimizing for AI search visibility are focused on the wrong layer. They are tracking citations, which is the output. What they should be studying is fanouts, which is the input that determines whether a citation is even
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