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Marketing School - Digital Marketing and Online Marketing Tips

This Is How Creators Use AI To Hack the YouTube Algorithm

Marketing School - Digital Marketing and Online Marketing Tips

Eric Siu and Neil Patel

Business, Marketing, Careers

4.61.4K Ratings

🗓️ 23 March 2026

⏱️ 10 minutes

🧾️ Download transcript

Summary

In this episode, we break down one of the wildest shifts happening in content and marketing right now: AI-powered media at scale.After discovering a highlights channel from Alex Hormozi pumping out dozens of videos per day, we reverse engineer how it works—and how you can replicate (and improve) the strategy using AI tools. We also dive into real-world insights from global marketing teams—what’s actually working, where AI is falling short, and why most people are wasting the time AI is saving them. If you want to understand where content, AI, and marketing are really headed and how to stay ahead this episode is a must-listen.

Transcript

Click on a timestamp to play from that location

0:00.0

using only 20% of your business data is like dating someone who only texts emojis first of all

0:06.3

that's annoying and second you're missing a lot of context but that's how most businesses operate today

0:12.0

using only 20% of their data unless you have HuffSpot where all the emails call logs and chat

0:18.3

messages turn into insights to grow your business because all that data makes

0:23.0

all the difference i would know because i use hubspot at my company learn more at hubspot dot com

0:28.5

it looks like he's publishing like 10 videos per hour check this out i just pulled it up okay so neal you

0:35.2

see on the screen so six minutes ago okay one hour, one hour ago, one hour ago, one hour ago, look, one, two, three, four, five, six, seven, eight, nine, ten. And so ten, and then two hours ago, 11, 12. So 12 videos in the last two hours. And so he's publishing all this at volume. And I'm like, what the heck is going on? Right. So I take the link from this channel and I just dump it into my open claw. And I'm just like, dude, what is it going on with this channel? Right? Is this all AI generated? And it analyzes the YouTube API. And it's like, 99% chances is all AI. Okay. And I'm like, tell me how this channel has been performing over time.

1:12.3

So I want to show you my interactions with OpenClaught and what it actually built. Because this week, you heard from Jensen Huang himself, every company needs to have an open claw strategy. Okay. So I'm like, oh, thank God. The last seven weeks of me spending time on this, This crap has not been a waste of time.

1:26.3

Okay.

1:26.7

So let me,

1:27.1

let me show you my screen over here.

1:28.8

Okay, you see this?

1:29.7

Yes.

1:30.3

Okay.

1:30.7

So again. me spending time on this, this crap has not been a waste of time. Okay. So let me, let me show you my screen over here.

1:28.8

Okay. You see this? Yes. Okay. So again, I'm like, hey, if you use the API and look at this channel, what are the odds? All this clip content is using AI. And how would we reverse engineer this? Okay. So it's like 99% chances AI clip. The data is a smoking gun. For uploads in the day, no human can do that, right?

1:45.7

Identical descriptions on every video.

1:47.2

Okay, fine.

1:48.1

Great. 99% chances AI clip. The data is a smoking gun. Seventy four uploads in the day. No human can do that, right?

1:45.7

Identical descriptions on every video. Okay, fine. Great. And so I'm like, I'm not going to read all that crap.

1:50.3

Then I'm like, okay, I'm just not going to read that. How has this channel grown over time? Is this a viable way to grow?

1:55.2

And then it's like, here's the full picture. Created in 2025, 55,000 subs, 8.2 million total views. And it's like, it shows the trajectory over time. So you can see in February, he published 500 videos, got 4.3 million views from it. Okay. And then 341 in March to date. And then it's like the pattern is clear. Here's what's happening. Average view is declining. But I'm like, is it viable for growth? And it's like,

...

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