This Is What an AI-Run Company Looks Like

10 Mar 2026 · 23 min · 13 chapters

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In short

Podcast Episode Summary: This Is What an AI-Run Company Looks Like

Podcast Title: Marketing School - Digital Marketing and Online Marketing Tips Episode Title: This Is What an AI-Run Company Looks Like Hosts: Neil Patel and Eric Siu Key Themes: AI in Marketing, Automation, Recruiting, AEO vs Traditional SEO

Episode Overview

In this episode, Neil Patel and Eric Siu discuss their experiences with using AI agents, specifically OpenClaw and a Telegram bot named Alfred, to streamline various business operations such as marketing, hiring, analytics, and deal recovery. The conversation emphasizes the integration of AI into business processes and highlights several innovative strategies for leveraging AI to improve efficiency and revenue generation.

Key Takeaways

  • AI Agent Integration:
  • AI agents can manage marketing, hiring, and analytics all from a single dashboard.
  • Integration of tools like OpenClaw and Alfred can automate routine tasks, allowing teams to focus on high-value activities.
  • Revenue from Old Leads:
  • More than 20% of new revenue can be generated from old leads, emphasizing the importance of lead nurturing and follow-up.
  • AEO vs Traditional SEO:
  • A poor AEO content strategy can negatively impact traditional SEO rankings, necessitating a balanced approach to content creation.

Detailed Discussion Points

  1. OpenClaw and Telegram AI Agents
  2. Eric shares insights on utilizing OpenClaw to build various AI agents that streamline operations.
  3. Alfred, the chief-of-staff bot, assists in content creation, recruiting, and managing analytics, thus reducing bottlenecks in decision-making.
  1. Hiring Techniques
  2. Introduction of the Beat Claude Hiring Challenge, where applicants must outperform AI-generated tasks to qualify for interviews.
  3. This method helps filter candidates who are adaptable and knowledgeable about AI technologies.
  1. Deal Revival Automation
  2. Discussion on a deal revival tool that successfully recovers old leads, highlighting that a significant portion of revenue comes from leads over six months old.
  3. Real-life examples are shared, such as a years-long effort to convert a lead from Heineken.
  1. AI Dashboard System
  2. Neil and Eric describe a dashboard system integrating multiple AI agents, allowing for real-time data management and analytics tracking.
  3. The dashboard promotes collaborative interaction among team members, enhancing decision-making processes.
  1. Common AEO Mistakes
  2. The hosts caution against creating excessive similar content, which can confuse search engines and detract from overall SEO performance.
  3. They recommend obtaining backlinks and mentions from external websites rather than only relying on in-house content.
  1. Future of AI in Marketing
  2. Emphasis on the need for continuous training of AI systems to adapt to changes in business models and market conditions.
  3. The concept of calibration loops is introduced, indicating that trust in AI systems needs ongoing evaluation as business needs evolve.

Conclusion

Neil and Eric conclude the episode by emphasizing the transformative potential of AI in business operations. They stress the importance of integrating AI tools thoughtfully and the need for a balanced approach to content marketing that does not compromise SEO performance. The insights shared in this episode provide actionable strategies for businesses looking to leverage AI in their marketing and operational efforts.

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Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

The Importance of Data Utilization

0:45 to 2:35

Discussion on how businesses often underutilize data and the advantages of using HubSpot to harness insights.

“I was becoming the bottleneck because I was building all these things.”

Unlocking AI with OpenClaw

2:45 to 5:12

Exploration of using OpenClaw in Telegram for content creation and team communication.

“And then I passed him over to talk to my CTO.”

Hiring Success Stories

5:12 to 6:40

Discussion about hiring practices enhanced by AI, including a notable candidate experience.

“Dude, all you guys need to do if you're watching this right now, you can still see me, right?”

BeatClaw Challenge Explained

6:40 to 9:35

Detailed breakdown of the BeatClaw hiring challenge and its implementation.

“Or you might have different skills, right?”

AI and Recruitment Strategy

9:35 to 11:23

Conversation on using AI tools for recruitment and the importance of candidate dedication.

“OpenClaw is good for if I just wanted to ship something very quickly and think through it, right?”

The Value of Contextual Memory

11:23 to 12:20

Discussion on the importance of contextual memory in AI tools and how it benefits marketing.

“kind of scrolling past it that's what I'm saying but thank you for the clarification Yes, and he doesn't want innocent people dying either.”

Managing AI Agents in Business

12:20 to 14:02

Insight into managing AI agents for operational tasks and improving efficiency within teams.

“Some of this is real, but this is all, by the way, none of this data was populated yesterday.”

Data Automation and Reporting

14:02 to 14:56

Learn how automated dashboards and reporting tools simplify data management.

“So you can basically plug all those text messages in and just have it update your dashboards.”

The Importance of Calibration Loops

14:57 to 15:28

Understand the concept of calibration loops in AI systems and their necessity for ongoing training.

“I came up with this concept like earlier this week called calibration loops.”

Unexpected Revenue from Old Deals

15:29 to 15:46

Discover the surprising statistic about how much revenue comes from old deals.

“Did you know, guess how much percentage of our business every month is from old deals that didn't close?”
Show all 13 chapters

Long-Term Follow-Up Strategies

15:47 to 17:08

Explore strategies for effectively following up on old leads and how they yield results over time.

“And then maybe you just hit them at the right time.”

Implementing AI in Team Operations

17:09 to 19:26

Learn about the integration of AI tools in team operations and their impact on productivity.

“That's how I know how that division measures it.”

Balancing AEO and Traditional SEO

19:27 to 21:51

Understand the risks and strategies for balancing AI-optimized content with traditional SEO practices.

“And I think it's been a major light bulb moment because even me telling them, oh yeah, you guys, you got to use Cloud Code, we're going to do these hackathons.”
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Transcript

Automatic transcript. May contain errors.

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. I've been using OpenClaw in Telegram. So I've been working with it alone and I've spun up a bunch of different agents, one for content, one for sales, one for all these different themes.

0:40Eric Siu:And I noticed the problem that I was coming up with is that I was the bottleneck. I was becoming the bottleneck because I was building all these things. But at the end of the day, if I have to be the bottleneck of every decision, things are going to move a lot more slowly. And so what I had happen last week, Neil, this was a major unlock for me last week, and I'll be doing a webinar action on this in an hour or so.

1:02Neil Patel:Before I cut, and I'm sorry to cut you off, can you explain to everyone the cool stuff you're doing on Telegram with OpenClaw for everyone?

1:10Eric Siu:So, yeah, that's good. Thank you. So I'll start with what I was doing on my own, and then I'm going to talk about the major unlock that happened last week. OK, so, you know, in terms of actual ROI use cases I'm getting from OpenClaw right now in my Telegram. So you can use WhatsApp, you can use Discord or whatever it is exactly. And you can even add it to Slack, which is what I just did last week. But in Telegram, I am using it. I have a bot called Alfred that acts as my chief of staff. And so Alfred has all the context of my business. It has all the context of my goals. It has all the context on my just almost everything.

1:48Eric Siu:And it can spin up like it creates content for me on X. So the content, I've talked about this before, it averages 85 ,000 views per post. Not only that, it started creating content for me for Instagram. So it did an Instagram post and then that one got like 40 ,000 views or something like that. It's one of those data charts that you see on my Instagram, right? I was like, hey, this one did really well on X. Hey, what can we do based on the work we've done? Okay, so that's cool. That's content, right? Right. But not only that, Neil, the beat Claude challenge that I put together, we made our first hire.

2:20Eric Siu:The very first person we talked to was a superstar. OK. And when I when I talked to that person, I was like, hey, so how did you I usually like to ask when they're in an interview. I'm like, so how did you prepare for this call? He's like, well, Eric, I read your book. I was like, oh, wow, he read my book. Right. I'm like, you don't hear that from a lot of people. And so I read your book. And not only that, dude, this guy had a startup he's been working on for three years or so. and I'm like, oh, he's been taking a beating. Like, not only has he taken a beating, he took a beating for three years.

2:45Eric Siu:So he knows how to take pain, right? And then I passed him over to talk to my CTO. My CTO was like, I saw my CTO talking for, like, I think it was 70 minutes or so. And he had a smile on his face the whole time.

2:57Neil Patel:That's cool. So to go back to it really quickly before you end up breaking down some of the, or before you end up breaking down some of the open clause stuff that you're doing, because I'm curious. We talked about it a lot last week and when I was in Mexico as well. But what are some of the cool stuff that you're doing with OpenClaw, like on Telegram and some of the other channels? So I know you're doing the stuff with the X articles and that's been going well for you. The Instagram stuff is new for me. So that's really cool. And you're seeing some good results. I'm assuming it's hit or miss like most social media posts, but you're getting some more hits because you're asking it to create similar content to your hits.

3:41Neil Patel:So it's learning. Okay. What are some of the other cool successes that you've gotten from OpenClaw over the last week?

3:50Eric Siu:So hiring, that one's major, right? Because now everyone that applies, they're going to have to go through the BeatClaw challenge. And it saves us a lot of time ultimately. And you find AI native people. It just makes it a lot easier. We actually have a dashboard that shows what Neil scored versus what Claude scored. And if you beat that, then like we'll talk to you. And then all we want to talk about is, at least if you get to me, all I want to talk about is AI. Because I just, I'm looking for an exceptional conversation with an exceptional person. So that's recruiting.

4:15Neil Patel:Not only that. Let's stop with recruiting. So let's stick on that for a minute. I know you talked about this challenge. It was either last week or the week before. And you told me about the kid who read your book, which I thought was awesome, by the way. For someone who has that kind of dedication, that's amazing. It was the same thing when I was in India. I met someone who wasn't part of our Mumbai office. And he's just like, I really want to be part of it. And he's just like, so I asked the, you know, we have a leader there named Rubina. He's like, I asked Rubina if I was able to pay for my own ticket and own hotel to be here so I can learn more.

4:48Neil Patel:I was like, look at this dedication, right? I wasn't expecting to do that. So that was great. But, you know, where was I getting at? And so on the recruiting side, it's really good that the kid did that. But can you break down the challenge again? Because you talked about it a week ago. I thought it's an amazing idea. And it's something that you can templatize and do for your whole hiring process.

5:14Eric Siu:Dude, all you guys need to do if you're watching this right now, you can still see me, right? I can still see you. Okay, cool. So if you go to singlegrain.com slash apply, you can steal this from me. I have no issues with this, right? Because I literally, I stole this from Anthropic because Anthropic does this. That's why it's called the Beat Cloud Challenge, right? So let me back up a second. When I saw Anthropic, what I have pulled up on the screen right now, if you can't see it, is I have a GitHub repo that's open, okay? So that might sound scary. It's like, oh, my God, I don't know how to code GitHub.

5:42Eric Siu:Don't worry about that, okay? This GitHub, it just shows what I have here for the challenge. It basically describes it. What Anthropic had before was like, hey, we want to hire you if you can beat AI, okay? So they're hiring, like, more engineers, obviously. So I went to my open call and I said, hey, I want to have this challenge, but I want to have it relate to my company and my goals and the roles that we're hiring for. So what I'm going through right now is this is an overview. Like this is how it works. You pick a challenge. The challenge is basically these are the different roles that we're hiring for, right?

6:13Eric Siu:So like paid media, engineers, product designers, sales, head of talent, sales director. So these are the roles that we have. And by the way, if there's no role that we have available and you really want to join single grain, we have a general one over here. Okay. I'll pause for a second. Any questions before I go on?

6:30Neil Patel:Do you want to explain the repository one more time for people like in more depth so they understand it?

6:35Eric Siu:Yeah. So a GitHub repo or repository is where you might have your code stored, for example. Or you might have different skills, right? Like marketing skills. Or in this case, this is just a bunch of folders and files on the different challenges we have if you want to join our company. So you have to beat the challenge, right? And then there's also like a leaderboard here. And then there's different submissions that we have. So there's different folders. There's a readme. There's a scoring rubric as well. And then if you click through one of the challenges, let's say marketing strategy, you will see that here's a brief for the challenge itself.

7:07Eric Siu:If you're watching on it, you should definitely be watching on YouTube. And then here's like the situation that we give. You know, this is like a hypothetical situation. Oh, this company raised$5 million. There's six months of runway remaining. Here's the founder. Here's the product. So it gives a bunch of context on what the challenge is. And then it tells you, hey, here's what you should submit over here. Create a 90-day go-to-market strategy to get them from zero to 50K in monthly recurring revenue so they can raise their next round, right? But this was all created using an open claw, just asking it to make this.

7:36Eric Siu:And then I can edit it if I want. But then after I just took the Anthropic link and I said, I want something like this, ask me clarifying questions. then it put this all together and it launched it to my repo. So you look at all this stuff over here, it looks like a lot of work. How much work did I do? Like, I don't know, 10 minutes.

7:51Neil Patel:Yeah, and if you guys don't have OpenClaw up and running, you can do this with ChatGPT, you can do this with Copilot, you can do this with Gemini, the list goes on and on.

7:59Eric Siu:Yeah, I would go CloudCode or OpenClaw with this, or CodeX if you want. It's one of these agenda coders because with one of the, like a Cloud or just a ChatGP, there's more to be desired there. I don't think you could do this in 10 minutes.

8:14Neil Patel:Yeah, I agree with that. One thing that we're seeing on the marketing end with people talking about OpenClaw and CloudCode before this and, you know, ChatGPT, of course, was big. Then Gemini, Gemini had a lot of cool features like Nano Banana and stuff. So it started gaining tons of traction. That we're seeing is we're constantly seeing corporations, at least in the marketing department, trying to use new tools, which I think is really good. but I think there's one big mistake that people aren't really taking into account that's going to hurt them in the future. It doesn't mean you shouldn't use OpenClaw or CloudCode.

8:49Neil Patel:If you spent a year training chat GPT hypothetically, and then you just want to switch over to CloudCode and everyone use CloudCode, you have to start a lot of the training all over again. And people forget that there's a big cost sink into all of these LLMs because if you're adapting these LLMs to be more efficient with your marketing, and you don't think through which one you really want to use at the beginning and you just switch around, you'll lose a lot of traction a year from now. You got to really think long-term on where you want to invest your eggs. Yeah.

9:25Eric Siu:So what I would say is you want to make sure whether you're using, I mainly switch between CloudCode and OpenClaw for different reasons. CloudCode's good for UI, UX, and deeper builds. OpenClaw is good for if I just wanted to ship something very quickly and think through it, right? What I would say is whether it's within Codex or Cloud Code, Codex is the one from OpenAI. That's their autonomous agent or agentic coder, I should say. They have all these files. So in your Cloud, you have your Cloud.md file. So you can actually set up contextual memory where it compounds. And that's one of the true values of OpenClaw, for example.

10:01Eric Siu:It has contextual memory and has these files that continually refer to. and you can continue to upgrade to memory over time. That's what you didn't have in like a chat GPT just by itself before. It might say it has a little memory, but it's like there's a lot more to be desired. The reason why Jensen said OpenClaw is such a big deal is because now you can continue to compound on it and those learnings you can actually carry over, right? And another thing I should call out too, Neil, I don't know if you're aware of this, but now there's easy portability. If you want to move from chat GPT to Anthropic, there's actually very easy things that you can just execute now to just port your memory over.

10:36Eric Siu:And I think Anthropic was the one that first came out with that, but you can also do it vice versa. If you want to go from Anthropic to ChatGPT, you can do the same thing too.

10:43Neil Patel:How good is it when you port it over?

10:45Eric Siu:I haven't ported it over because I don't need to do it, but I see so many people talking about it on Twitter. It's like, oh, like now, like, because you see people, I think some people were kind of up in a uproar because ChatGPT signed with the Department of War. And then like, you know, everyone's like, oh, I'm on Anthropic now, right? I'm like, okay, like they're both great products. I don't care. but that's I saw people talking about it but I will say the memory with this like with the

11:07Neil Patel:Eric does care about AI being used for war and hurting people yeah I don't want surveillance

11:13Eric Siu:right I don't want that type of stuff going on and I don't think I should be controlling and things like that so yeah but I think the news cycle that's not like you know I'm just kind of scrolling past it that's what I'm saying but thank you for the clarification

11:26Neil Patel:Yes, and he doesn't want innocent people dying either.

11:29Eric Siu:Yeah, and I'll give you one more example, then we can move on from this, Neil. But this is where I'm starting to combine everything together. So this is like a dashboard that I have called Single Brain, where, again, I'm like, why hire humans to do robot things? We want the people that we have on our team to focus more on doing only things humans can do, right? And we're getting there. So this data, we're still porting in data here, but you can see I don't want a dashboard that I need to manage. I want a dashboard where I can manage the agents. And so I have my agents in here. I have Oracle, I have Flash, I have Cyborg.

12:02Eric Siu:So Oracle is for SEO, Flash is for social media, Cyborg is for recruiting, Alfred is my chief of staff. You can see what they're doing over here. You can see the actions they're taking. I can set it to auto if I want or not. or as an example, you know, I can see the speed to lead on my team over here, right? Again, some of this is dummy data. Some of this is real, but this is all, by the way, none of this data was populated yesterday. So all I do once I'm done with my, you know, kind of operating company work is I just go to OpenClaw because OpenClaw is porting the data over to this dashboard.

12:34Eric Siu:This dashboard is built within Cloud Code and I can, I basically have like everything I can manage here. I can see the tasks that are happening over here, the cron jobs I have, the team that I have over here, right? All this is going to be something that clients are using as well because the way we see it is like, okay, you know, if you just know how to push buttons with paid media, okay, you're basically done, okay? If you just know how to do, you know, if you're just a BDR, you know, six months ago, you're done as well. Like the way is we have to help people learn how to control the robots so they can do higher leverage things that only humans can do.

13:07Eric Siu:That's where we're trying to go with this. But that's why this stuff matters so much, at least to me.

13:12Neil Patel:Dude, I'm going to share my screen really quickly. Go for it. I use Cloud Code so much for this internally.

13:19Eric Siu:Dude, when did you start using Cloud Code?

13:22Neil Patel:A while ago. But check this out. I use it mainly for financial projections, for stuff that's related to new divisions and stuff like that. And then you can end up just adjusting. Dude, this is sweet. It's sweet. You stopped your screen share. Yes, I stopped it. But I was just showing it's just random charts. But like, it's quick stuff. Like it doesn't take more than 10 minutes. It's just easier to do than Excel. And it's just more pretty. And it's easier to digest for me to share it. And it's quicker for me to get the output than it is to manually type it all into.

13:59Eric Siu:Dude, you know how you get text messages all the time with the data? So you can basically plug all those text messages in and just have it update your dashboards.

14:09Neil Patel:Don't need to. People don't send me data anymore. Oh, they just plug it into Dashboard? They send me cloud code reports of pretty versions of data. They text me. That's great. They text me HTML. You have to click it and open it. But if you open it on your phone, you have to open it within the browser for it to load and look.

Read the full transcript

14:29Eric Siu:I will say one more thing, Neil. It actually is working now. So we have a deal revival tool, right? So OpenClaw started using a deal revival thing. And people started responding. And so for generating pipeline, for generating meetings, I told you about the Google meeting that was booked, right? It's actually generating meetings. It's generated, like it's generating people that we're actually hiring, okay? And then all the stuff that we're doing from a social standpoint, you can basically set it to autopilot at some point. The one thing I will call out is, I came up with this concept like earlier this week called calibration loops.

15:01Eric Siu:Because the challenge is, Daniil, like your point is, how much can you really trust these things if you don't train them, right? But there's a problem with that too. If you don't train it, it's going to suck. If you train it, you might think you're done, but you actually need to continue to train it because what if you change your product or what if your ICP changes or whatever? So I think whenever you build an agent, you need to have like a calibration meter at the top to show how much trust you've built, but that decays over time too because the product or your business changes.

15:28Neil Patel:You want to hear an interesting stat talking about deal recovery? Did you know, guess how much percentage of our business every month is from old deals that didn't close? New business. right how much new business is from old deals ever close five to ten percent or more than 20 more than 20 every month uh-huh wow that's crazy that's good for everyone and when i'm saying like old deals i'm not talking about three months i'm talking about more than six months old so like six months year plus sometimes even two years uh these are deals that are coming yeah you and you

16:04Eric Siu:stretch it out to two years right is that the max or do you stretch it out to three uh we closed

16:08Neil Patel:heineken last week uh it was either three or four year recovery for heineken we never had him as a client it took three to four years of us following up on our old lead which was heineken to close it

16:22Eric Siu:but that's that's a good call out right because here's the thing and you can you can add on to this too but but like 99 of people are not in market to buy and over a four-year period how many agencies have they gone through, or maybe the timing wasn't right, or maybe some other reason. And then maybe you just hit them at the right time. And it's like, hey, okay, yeah, let's have a conversation.

16:39Neil Patel:Yes. And I've told a few people this stat, because a lot of people, at least in B2B, talk to me about, oh, recovering old customers. And it works in B2C as well. So they're just like, oh, it just works for you because you're enterprise. Even on our SMBN, more than 20 % of our monthly new customers are old leads in our system. And typically in the S &B category, they measure old lead as someone who's been there for more than a year. Okay. They don't look at the six month mark. They look at a year plus an S &B. That's how I know how that division measures it. And more than 20 % of their revenue, they're actually closer to 30.

17:15Neil Patel:They're not at 30, but they're closer to 30, is coming from leads that are a year old for S &B division.

17:21Eric Siu:That's great. That's a great stat. Well, I didn't actually share the major unlock from last week. And then I want to kind of come over to this Aaron Levy quote that I want to get your reaction on. So with OpenClaw, obviously, like I don't want to tell everyone on my team to use it. And obviously, I have mine locked down where, you know, I'm constantly hardening it every almost every one or two weeks or so from a security standpoint. But even then, I'm not I'm never going to be 100 percent secure. Right. But the point is, I was like working in Telegram. I'm like, I'm doing all these cool things on my own.

17:49Eric Siu:and it has so much context. What if I just unleashed it? What if I had all my agents invade Slack? So I had the Slack invasion happen last week and it started invading the sales room. It started invading the leadership room and all that, right? And the really cool thing is I added my chief of staff, bought Alfred, like Alfred from Batman. I added Alfred into it. And immediately my COO started asking questions. Hey, with ClickFlow right now, what are the stats over here? Where's the biggest drop-off in the funnel over here? And then it started, because it's connected to Mixpanel MCP, it started citing all these things.

18:19Eric Siu:It's like, hey, here's a smoking gun. You should attack this over here. And then she starts asking more and more follow-ups. And then we tag into CTO. Hey, here's what's happening over here. And what's happening here is that you have a really smart bot that understands all of your goals. And then it's interacting with other people. And then it's creating all these idea babies. And then it's getting people to take action. So there's like, oh, crap moments. Like, oh, I can actually work with these agents. And not only does it spot out, it does the data polls very quickly. It gives insights on it, strategies on it.

18:46Eric Siu:but it can also execute on those strategies if you let it. And so in the SEO room, it's saying, oh, single grain, it rated us, right? It's like, oh, you should be doing this from an AEO standpoint. And then our new SEO director comes in and she's like, well, rate single grain on how good we are on the AEO standpoint based on your recommendation. And it's like C, D, F, like across the board, right? On how we should be designing our pages for LLMs. And then it's hooked into my WordPress and so it can make those changes. So my point is, once I had this lack invasion happen, it was a big load off my shoulders because now my team can work with these agents to train them.

19:23Eric Siu:And then that scales over time because now they are learning to work with these assistants. So it's still very early days right now, but I'm very, very excited about what's been happening. And I think it's been a major light bulb moment because even me telling them, oh yeah, you guys, you got to use Cloud Code, we're going to do these hackathons. There's a lot of theater there, but now that they're actually working with the agents, I think that's another step up.

19:45Neil Patel:Yeah, and one quick feedback for anyone listening who's trying to do AEO stuff, we constantly see this mistake. So let's say you are a home service company. So you do like roofing. You could be a dentist. It doesn't matter what kind of business. You can sell a product, whatever, right? You could be in B2B. A lot of people will create like a blog post on their own website, the best roofing company in Michigan or the best dentist in Michigan, the best dentist in Chicago, Illinois, the best, you know, whatever it may be. Actually, agency is probably an easier example because they're more national.

20:27Neil Patel:But let's say if I'm an agency, I'm NP digital. Hypothetically, if I created a blog article on our own website, the best agency in Michigan, the best agency in Chicago, the best agency in Los Angeles, the best digital marketing agency, the best paid media advertising agency, and I created a blog articles for a call of like four or 500 of these topics, you may end up getting some AEO juice for extra juice. What we're also seeing though, is it's hurting your traditional organic SEO. So you need to be careful because what's happening is, is you're creating a ton of, I wouldn't call it duplicate, but lookalike content that's too similar.

21:08Neil Patel:It confuses Google on which ones to rank and it hurts your overall site. So people just need to be really careful if they're trying to do that from an AEO or GEO perspective. More so what your goal should be is to try to convince other websites to write articles on you for all these subjects. Much more effective. It's harder to do as well. Much more effective than if you just publish 500 or 1 ,000 blog posts on your own website. Because if you just publish it, remember, just like in the old days of SEO, if you had 1 ,000 pieces of content and a lot of them sucked, even if you think they're good, or if they're on the same topics and the same keywords, it confuses Google on which ones to rank.

21:48Neil Patel:And even though GEO and AEO is a big chunk of the future and it's really valuable, Google's organic searches are growing. They're now at 13.7 billion searches a day. You can't forget about the boring and ugly because a boring and ugly being traditional search still drives a crap ton of revenue. So ideally, you need to optimize for both without hurting your traditional SEO.

22:10Eric Siu:All right, guys. Well, I hope you enjoyed this. I need to go run to a webinar. Neil's going to go to bed. So I hope you all enjoyed it and we'll catch you next time. Thank you.

From the publisher

Neil and Eric break down how they are using OpenClaw and AI agents to automate marketing, hiring, analytics, and deal recovery. Eric explains how his Telegram “chief of staff” bot Alfred manages content, recruiting, and dashboards while integrating with Slack and company data. They also reveal the Beat Claude hiring challenge, how AI agents can run workflows across teams, and why recovering old leads drives over 20% of new revenue. The episode also covers AEO vs traditional SEO and common mistakes businesses make when creating AI-optimized content.

Key Takeaways

• AI agents can run marketing, hiring, and analytics from one dashboard

• Over 20% of new revenue can come from old leads

• Poor AEO content strategy can damage traditional SEO rankings

Chapters

(00:00) OpenClaw Telegram AI Agents

(00:41) Alfred Chief-of-Staff Bot

(02:54) Beat Claude Hiring Challenge

(06:34) GitHub Challenge Breakdown

(11:01) AI Agent Dashboard System

(14:03) Deal Revival Automation

(15:00) Old Lead Revenue Stats

(17:20) Slack AI Agent Invasion

(19:44) AEO SEO Strategy Mistakes

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