How to Hack ChatGPT & Gemini Rankings (It’s Too Easy)

0:00Eric Siu:Using only 20 % of your business data is like dating someone who only texts emojis. First of all, that's annoying. And second, you're missing a lot of context. But that's how most businesses operate today, using only 20 % of their data. Unless you have HubSpot, where all the emails, call logs, and chat messages turn into insights to grow your business. Because all that data makes all the difference. I would know because I use HubSpot at my company. Learn more at HubSpot.com.

0:29Neil Patel:how you can actually hack chat gpt's and gemini's rankings are you ready for this yeah you're

0:35Eric Siu:probably not gonna be surprised but let me pull this up this guy over here you see this is a this is a hot dog so this guy says wrote for bbc okay he says i hack chat gpt and google's ai and it only took 20 minutes so this guy thomas germain i guess the whole hack is uh he's the best hot dog eating tech journalist okay so this guy jake ward says be this bbc tech reporter spend 20 minutes writing a fake blog post. Claim you're the world's number one hot dog eating journalist. Invent a fake championship to back it up. Watch ChatGPT and Google repeat it as fact within 24 hours. Realize you just manipulate two of the world's most powerful AIs with a single page.

1:08Eric Siu:Find that users trust AI more than websites because it feels like the answer is coming from the tech company itself. Prove that tricking AI in 2026 is as easy as tricking Google was in early 2000s. What do you think?

1:18Neil Patel:Yeah, dude, you and I know it's easy to game these solutions, but we're both believers that this is not going to last. We think the algorithms are going to get much more sophisticated. It's not going to be in, you know, two, three months, but we think a year, two years from now, these algorithms are going to be much, much better. And this is why Google released things like domain authority and looking for links instead of just mentions, because they know getting things like that are really harder to, are much harder to manipulate than just looking at, oh, someone just mentioned you and they didn't link and it's joetheplumber.com and it's talking about marketing or medical advice.

1:53Neil Patel:Well, what does a plumbing website know about marketing or medical advice?

1:56Eric Siu:Yeah. So what I'll say is I've always been a big prone of it's easier to do the black hat things that work in a white hat way. So if you make a legit competition and you get talked about in that way, that's going to do a lot better because there's staying power there. Oh, and by the way, like early in my SEO career, I've tried to gray hat the black hat stuff. And I've experimented on my own websites when I was like 22, 23 years old to watch those websites get torched. And so you don't want that to happen because it's the same story over and over. They have to protect the integrity of their product.

2:23Eric Siu:And so you might as well just do the stuff that works, but do it in a more long-term focused way. And you're going to win over the people that like to do the short-term stuff.

2:29Neil Patel:Think of it this way. If everyone started creating junk and they were always mentioned in ChatGPT and Gemini when they shouldn't be, what's going to happen to the users? They're going to use ChatGPT and Gemini being like, the results suck. We're not happy. Google and OpenAI are going to lose revenue. So what do they do? Before it gets to that point, they adapt their algorithms to get rid of the crap and the spam. So then the results are better. People keep using their products more. They make more money. In essence, you got to take the long-term approach. Even if something works today and it could be black hat, you'd be like, well, at least I'm getting results for three to four months.

3:03Neil Patel:What you need to realize, if you look at the old game of playing cat and mouse, especially when it comes to SEO, a lot of the websites that did funky, shady stuff didn't just say, okay, we'll only work for six months. They got put in this black box or in quote unquote, you know, internet jail, in which a year later, two years later, even after they cleaned up their act, they weren't getting the results that they deserved because they were known for doing funky, shady stuff beforehand. So you're better off having a clean slate and doing things the right way because the moment you do anything the wrong way in marketing, you don't know if that's gonna be used against you and hurt you even in the future, four or five, 10 years from now.

3:41Eric Siu:I wanna switch gears here. I wanna get your reaction on this. So the former Uber founder, actually, I should just say Uber founder. So Uber founder, Travis Kalanick said this, plumbers will be paid like LeBron James. You see that?

3:53Neil Patel:I did not see that, but I just hit me when you said former Uber founder. I'm like, uh, still founder, still founder.

4:00Eric Siu:You can't take that away. Once someone's a founder, they're a founder. So Kalanick says this, like everyone is like, and I've been guilty of saying this. I'll just own up to it. But everyone assumes AI eliminates human value. Okay. So the physics say the opposite. So Kalanick says this, let's say the entire world, everything in our world was automated except for plumbers. You had machines making buildings. You would basically have like a thousand buildings a day. The algorithm can design a skyscraper in a millisecond. It cannot connect the pipes, okay? So when compute violently accelerates the speed of construction, the unautomated human becomes the ultimate bottleneck and the bottleneck captures all the margin.

4:37Eric Siu:So Kalanick is saying, how valuable would those plumbers be? Extremely valuable. Those guys, each and every plumber will be paid like LeBron. Why? Because plumbing is a long pull in the tent to progress. So basically, he's just saying like at the end of the day, if things go exponential, you're actually going to need more. If we're able to do more with more, why would we not do more? Right. So their economic value goes exponential. You get so much efficiency everywhere else that you need millions of plumbers. The market thinks automation drives human wages to zero. The physics dictate that it drives the bottlenecks wages to infinity.

5:10Eric Siu:The next decade doesn't belong to whoever out computes the machine. It belongs to whoever stands at the exact point where the digital engine meets the physical world. That's interesting.

5:19Neil Patel:We already have that happening right now with all these data centers being built. I know people who are electricians that are getting paid millions of dollars. No joke to work on these data centers because there's a lack of electricians who are amazing and specialized in working at data centers. And they're making an arm and a leg. And the same goes like with marketing. if they automate most of the stuff in marketing like content creation and keyword research and the list goes on and on, but you're amazing at strategy and one of the best, do you think that they're gonna be happy with just taking what's average on the web and then coming up with strategies for that and giving it to you?

5:54Neil Patel:Or do you think they're gonna pay you more being amazing marketing strategists because all the other stuff is automated and really easy and cheap for them to do? The stuff that isn't easy for AI to do is going to be worth a lot more and they'll spend a lot on it.

6:09Eric Siu:I honestly think if you're a curious, hardworking human being, there should be no reason that you're not going to thrive in this world. And what Neil was just talking about, these electricians making millions of dollars. By the way, I look at this Amon that's building every single day. I'm like, man, they must be making an arm and a leg because they work a night shift and a day shift too. I don't know if you know that, Neil. So the whole time, I could hear the construction the whole time. So yeah, let me show you this.

6:32Neil Patel:That building won't be done for like another six years, supposedly.

6:35Eric Siu:Probably not. Yeah. Yeah, but they're making fast progress on it. So Neil, have you seen this? So let me make this, here, let me refresh this real quick.

6:44Neil Patel:I have not seen that.

6:45Eric Siu:I don't even know. This is the AI exposure of the US job market. Those of you that can't see on the screen. So these are 342 occupations, okay? Colors, AI exposure, okay? So if you look at this, if you're red, that means your job is really at risk to AI. And if you're in the green, that means these jobs are gonna be okay. So like, for example, AI exposure for hand laborers and material movers, two out of 10. Okay. So it shows like 7 million people that did this job, medium pace, 38 grand. And so Norfolk, and it shows the education level required. So it shows basically like what jobs could be in trouble and what isn't.

7:18Eric Siu:But like secretaries and administrative assistants, eight out of 10 exposure. Okay.

7:23Neil Patel:Wow. Really? Eight out of 10? Yeah. I don't think in office, secretaries and administrative assistants are that high of a risk. Because like, let's say if you work at the JP Morgans, they're going to still want someone to walk and greet and all that. Yeah.

7:36Eric Siu:I think it depends, but I think we can agree on this one, right? Customer service representatives, 9 out of 10. Okay. Bookkeeping, accounting, and auditing clerks, I think so.

7:44Neil Patel:Bookkeeping, we're not talking about like tax strategists or financial strategies. Yeah, yeah, yeah. I think bookkeeping, I don't know if it's a 9 out of 10, but I agree it's high maybe 7 or 8 because you're still going to have some humans just to double check.

7:56Eric Siu:Yeah. So, Neil, let's play a game here. Do you want me to go for I can focus on the red or you want me to hit the ones that are not at risk?

8:03Neil Patel:Hit the ones that are not at risk. It'll be more fun. electricians down here look at this two out of ten i was thinking home services hvac plumbing

8:11Eric Siu:roofing i think a lot of those are less impacted yep so heating oh right here hvac two out of ten child care workers yeah i want a human i don't want to like security guard i probably don't want robots being my security because there's probably a lot of liability there so they get hacked you're screwed anyways yep yep where's marketing five out of ten i think marketing is pretty high let's just see i think it's hard to find here well let's just go the ones under highest risk first so software developers i think we can agree the ones that don't adapt that's what i would say data scientists man i never expected to see data scientists so hard like i would just say that let's caveat this the ones that are really good at strategy which which we just talked about those people are going to be okay we agree on that right yes okay so i think marketing's like five out of 10 or something like that.

8:58But yeah.

8:58Neil Patel:And it gets tricky too, because what kind of marketing role, right? If it's just hitting up people for negotiating Instagram sponsorships, I think it's more closer to eight or a nine out of 10. If it's something like you're focusing on, you know, strategy for international expansion for a company that's looking to grow faster, I think it's pretty low. Do you see marketing here?

9:20Eric Siu:I can't see. Oh, advertising right here. Advertisings, promotions, and marketing managers, eight out of 10.

9:25Neil Patel:Yeah. I think it really depends for all of these, including the role. Just like the secretary example I gave. Like, I don't support banks getting rid of them.

9:32Eric Siu:Same thing for top executives too. Like, what executives are talking about? CEOs? Like, so.

9:38Neil Patel:Yeah, you nailed it. Like, if you're saying top executives, I don't see AI replacing any of my top executives. If it does, it's because they sucked and they couldn't adapt to the AI world. And they're going to be replaced with a new executive that is adapting. same with like engineers i know they said it was i think you said eight or nine out of ten we're not actually looking to replace engineers and get rid of them we're looking for engineers at least at my organization who are great at using ai and can move faster and the ones we're getting rid of aren't using ai can't adapt to it and when we get rid of them we're replacing them with the new engineer that can use ai so instead of the model of like oh really you need two engineers now on our end, we're like, no, if we have 20 engineers, we still want 20 engineers.

10:21Neil Patel:We just want 5x the output and just do so much more so we can grow faster.

10:26Eric Siu:I found the most effective thing when it comes to hiring now is just to have like when they get to me, all I talk about is AI. I want to charge just, I want to have an exceptional conversation for 30 minutes about AI, because if you knock out AI, you knock out all of our core values and you just, you leverage.

10:39Neil Patel:Yeah.

10:40Eric Siu:It's like you can do 10x more. Why would I not try to go for you all day? Right. It's the people that say, well, I'm really interested in learning right now. Right. Can't do it. So

10:50Neil Patel:I'm interested in learning right now. What happens six months down the road? Well, that's past now. I'm not interested in learning anymore. Yeah.