SEO 2.0: How to Trick Google and Rank AI Content ft. Greg Isenberg

Matt Wolfe (0:00)

Where do you see SEO going in the world of AI?

Greg Isenberg (0:02)

If Warren Buffett was an Internet Marketer, he would be like all about SEO 2 right now.

It's all about, how do you take a stranger and make them a raving fan? If you can do those things, you win at business.

Matt Wolfe (0:19)

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Hey, welcome to The Next Wave Podcast. I'm Matt Wolfe. I'm here with Nathan Lands. And today we've got an amazing returning guest in Greg Isenberg. He is the host of The Startup Ideas Podcast. He's got a holding company called Late Checkout, which does over $10 million in revenue per year. He runs the Boring Marketing Company where he helps other companies do SEO. And in this episode, he's gonna map out an exact blueprint that you can follow for your SEO in this new AI world that we're going into. He breaks down the SEO 2 strategy.

He also talk about all sorts of hot takes that he has on Twitter and dive into why he believes those hot takes are true.

And you're really gonna enjoy this episode. So let's just go ahead and dig right in with Greg Isenberg.

Hey Greg, welcome back to the show. It's great to have you on.

Greg Isenberg (1:36)

I'm ready. I'm ready for it.

Matt Wolfe (1:38)

Awesome. Well, let's just get straight into it. So you have a couple of tweets out there right now that Nathan and I both had some conversations around and got us talking. And we thought these are some fun things to bring Greg on and talk about on the podcast.

And the first one being the concept of SEO 2.0. So maybe the best place to start is just like, what's your definition of SEO 2.0? Where do you see SEO going in the world of AI?

Greg Isenberg (2:04)

Yeah, I mean, a lot of people call it programmatic SEO. I call it SEO 2.0.

SEO 1 to me is basically, I mean, it's old school SEO. It's basically, you go and create content pages, you get humans to do it, top things to do in New York City, you go and you know all the different restaurants and bars, and you review it, and then you just hope that, I guess, you get backlinks from other websites, and then that's going to generate traffic. That worked pretty well for a long period of time.

And there's quite literally dozens of billion dollar companies that rode the SEO 1 wave. Content companies, social networks like Reddit, these are companies that have great rank. And then about a year and a half, two years ago, I started thinking about, hey, if AI makes it easier to do two things, one is to get insights and data in a really efficient way, and two is creating content and creating webpages in a really efficient way, isn't that mean, won't that mean that you'll be able to just create like millions of pages and rank for them?

And that's really what I mean by SEO 2.0. I'll tell you why I think it's exciting to me and maybe to people listening, is the same way that there's dozens of billion dollar companies and thousands of million dollar companies that have rode the wave of SEO 1.0, I believe the same thing is going to happen for 2.0. The people that are going to be able to efficiently create these web pages, get ranked, are going to do really well. And I know that there's someone listening, especially because this is an AI podcast that's thinking to themselves, well, okay, but it doesn't matter because Perplexity is the new Google. And if Perplexity is the new Google, then you ranking doesn't really matter on the search engine that no one's going to go to. And the reality of the situation is Google is not dead. I know a lot of people like to think that Google is dead, but Google is not dead.

And there's still huge opportunities to start ranking.

Matt Wolfe (4:22)

The first thing that comes to mind when I think of like an SEO 2 concept and like AI just sort of being able to sort of mass make content, is that I feel like the internet might just get flooded with a lot of junk content. I mean, how much of SEO 1 in the, especially in the early days, was people like writing articles, spinning the articles, and then it would just like change a certain percentage of words and they were doing it for the algorithm and they weren't really doing it for the reader. That's the first thing that comes to mind is like, doesn't it seem like that might just lead to a whole bunch of clutter and junk all over the internet that nobody actually wants to read?