Neil Patel on Where AI Content Actually Wins (And Where It Falls Short)

Where we see AI content winning and losing. Yeah, so I see it winning for things like helping you brainstorm, helping you update old outdated content. Like the example that you gave, I believe the guy's name was Ryan from Ahrefs. Yep. Right. Updating content, helping you translate and transcribe your content so you can go global faster. You know, helping you, you know, research gaps, stats, data so that way you can cite things, helping you come up with better hooks and headlines. fine-tuning what you're doing, right? I use it for— I use AI for that as well. Like sometimes I'm creating charts on something because my team will send me data and I'm like, okay, and I'll give you a great example of this. My team worked with I don't know how many companies and we started— these companies were asking people, how'd you hear about us? For customers that were checking out. So customers would say social, Google, you know, ChatGPT, et cetera, right? Email, whatever the channels may be. When they selected Google, we would dive in more and ask follow-up questions. And these were just like a tick box, like, you know, like a multiple choice answer. So you could say AI overviews, traditional Google search, paid search, map results, you know, videos, images, whatever it may be, shopping, etc. So I was just like, oh cool, I don't want to create a chart that showcases how people or how customers are learning about businesses. I wanted to create a chart that breaks down where inside Google are people actually learning about a business. So when they use Google and I was trying to come up with a chart idea and this, no joke, was yesterday around like 1-something AM because I slept in the plane, didn't have Wi-Fi. So I was wide awake and I was like, all right, let me crank this out into a chart idea because my team already sent me the data. We just needed a title for a chart. So I plugged in the data into ChatGPT and I was like, I'm stuck on