AI Makes You A Learning Machine Or A Lazy Machine

17 Mar 2026 · 20 min · 11 chapters

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In short

Podcast Summary: AI Makes You A Learning Machine Or A Lazy Machine

Podcast Details

  • Title: Marketing School - Digital Marketing and Online Marketing Tips
  • Hosts: Neil Patel and Eric Siu
  • Episode Title: AI Makes You A Learning Machine Or A Lazy Machine
  • Description: Discusses the dual nature of AI in enhancing learning and productivity versus fostering laziness, with insights on AI agents, SEO, ad performance, and the importance of relationships in business.

Key Takeaways

  • AI's Dual Nature: AI can enhance learning or enable laziness, depending on how users interact with it.
  • AI Agents: Integration of AI agents into teams is transforming workplace productivity and learning environments.
  • SEO Rankings: The winner-takes-all nature of AI-driven SEO means that top positions capture the majority of traffic and revenue.
  • Relationships Matter: Despite advances in technology, personal relationships still play a crucial role in driving business revenue.

Chapters

  1. (00:00) AI: Learning vs Laziness
  2. (00:33) Smart vs Lazy Users
  3. (01:04) AI Agents in Teams
  4. (01:29) AI Coaching Employees
  5. (03:00) AI Business Opportunities
  6. (05:19) AI SEO Rankings Data
  7. (06:47) ChatGPT Ads vs Google
  8. (09:13) APIs and AI Agents
  9. (10:59) Power of Relationships
  10. (14:18) Networking and Trust

Detailed Notes

Introduction

The Role of AI in Business

  • Statistical Insight: Most businesses utilize only 20% of their data, limiting their potential.
  • HubSpot Mention: Emphasizes the importance of having a comprehensive data platform for insights.

AI as a Learning Tool

  • Learning Machine vs Lazy Machine:
  • Smart users leverage AI to expand knowledge by asking insightful questions.
  • Lazy users rely solely on AI to perform tasks without engaging their own critical thinking.
  • Example: Neil Patel’s use of AI for tax-related inquiries enhances his knowledge base.

AI Agents in Teams

  • Integration in Workflows: AI agents are being used in Slack to enhance team collaboration, providing insights and ratings on strategies.
  • Personalized Coaching: AI can serve as a personal coach for teams, helping them improve and manage performance.

Business Opportunities with AI

  • Consulting Opportunities: Potential for businesses to provide services that help train AI systems to better adapt to human needs, rather than focusing solely on employee training.
  • Market Demand: Increasing interest from companies in implementing AI agents for various functions.

AI and SEO Rankings

  • SEO Insights:
  • AI search results display a "winner-takes-all" scenario where the top-ranking position captures the majority of traffic.
  • Position one on AI platforms generates significantly more revenue compared to lower positions.

Ad Performance Comparison

ChatGPT vs. Google and Meta

  • Lead Quality Metrics:
  • ChatGPT ads outperform Meta in lead quality and are cheaper compared to Google.
  • Highlights the importance of leveraging new ad platforms before costs rise.

The Importance of Relationships

  • Trust in Business: Building relationships fosters trust, which is essential for long-term business success.
  • Revenue Generation: Majority of revenue in enterprise settings comes from personal relationships rather than just brand visibility.

Conclusion and Closing Thoughts

  • AI's potential to transform business practices and enhance productivity through smart integration.
  • Encouragement to engage with AI in a way that fosters learning and innovation while emphasizing the necessity of human relationships in driving business success.

Closing Remarks

  • Listeners are encouraged to rate, review, and subscribe to the podcast for ongoing insights into digital marketing and AI applications in business.

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

AI: Learning or Laziness?

0:29 to 1:54

Discussion on how AI can either enhance learning or promote laziness.

“I realized recently that AI either makes you more of a learning machine or more of a lazy machine.”

AI Coaching Teams

1:55 to 4:30

Exploring the concept of AI as a personalized coach for team performance.

“So the idea baby that we made here, Neil, is if you have it coaching your team, okay?”

AI in Business Opportunities

4:31 to 6:41

Discussion on consulting opportunities in AI and the need for training AI systems.

“then you get these bots to invade your Slack channel or your team's channel.”

Revenue Impact of AI Rankings

6:42 to 8:06

Insights into how AI rankings affect revenue generation compared to traditional SEO.

“How chat GPT ads, because we were talking about this over text.”

ChatGPT Ads vs. Traditional Ads

8:07 to 9:21

Comparison of ChatGPT ads performance against meta and Google ads.

“And then Carrot could end up showing up, right?”

API Importance in Marketing

9:22 to 10:08

Discussing the growing significance of APIs in marketing strategies.

“So I think your technical documentation is going to be important and then your APIs.”

The Value of Relationships in Business

10:09 to 13:51

Exploration of how relationships influence agency revenue and trust in marketing.

“So I'm like with the software you have, with the software I have, we need to have APIs for it.”

Building Trust Through Relationships

14:01 to 15:00

Learn how building trust through events and relationships can benefit long-term goals.

“if you end up building that trust, I just think it works so well for you in the long run.”

The Challenges of Eye Strain in a Digital World

15:01 to 17:02

Explore the impact of prolonged screen time on eye health and how to mitigate it.

“I don't really feel it like you feel it.”

Using AI for Data Management

17:03 to 17:50

Discover how AI can streamline data handling, report generation, and chart creation.

“because I'm really good at using Excel, it's just easier for me to use Excel on my laptop than the iPad.”
Show all 11 chapters

Navigating AI Limitations in Design

17:51 to 19:10

Understand the current limitations of AI in design and the importance of manual checks.

“So then when we do it manually, there's less errors.”
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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.

0:29Neil Patel:I realized recently that AI either makes you more of a learning machine or more of a lazy machine.

0:34Eric Siu:So the people that use AI, for example, I'm going to guess for Neil. Neil probably asked a lot of tax questions to his AI, okay? So more or less as a tax strategist, right? You're learning more. I'm sure there's a lot that you've learned about things that you just didn't know before, right? But my point is you're asking a lot more questions than you usually would have asked before. You're not just kind of, you know, like taking it and say, okay, AI do the work for me. So when I say AI makes you a learning machine, you ask more questions and you actually expand your mind more That's for smart people.

1:02Eric Siu:Okay now Unfortunately many people Maybe like you want to be but you want to be lazy and smart. You don't want to just be lazy Okay, so because smart and lazy people try to figure out ways around things, right? They figure out creative ways But if you're just someone that just throws it over the fence and you're just like chat Chibi is gonna solve the problems chat. Chibi will write my prompts for me chat is gonna write all the content for me, then you will get slopped, right? So that's the first point I wanna make. But the second point to what you're saying is, I've had my AI agents, they've started to invade my Slack channels, right?

1:33Eric Siu:And so they're working in my sales room, they're working in my recruiting room, they're working in the SEO room too, and it's working with the team. Now here's the thing, I see it, their team's asking for data polls, and it's giving the team strategies, outside the box strategies, and it's rating our strategies, and it's also offering to do the work too. Now here's the other thing that you just mentioned that gave me an idea. So Neil and I just made an idea baby. Let everyone know that we just made a baby. So the idea baby that we made here, Neil, is if you have it coaching your team, okay? Like imagine your kids are going to be working with personalized AI tutors, right?

2:07Eric Siu:Everyone on your team now has a personalized coach, okay? That has all the data that understands what that team's supposed to hit. And it's going to help coach the team, but it's also going to what? It's also going to performance manage the team too, okay? Yes. Whether you like it or not, that's what's going to happen. And it's going to show like a leaderboard that way. And I think that's a good and a bad thing, right? I think we're always just trying to do better for our companies. And I think this is great. Like I didn't have that idea for the coaching piece, but I think I'm going to inject that a little bit into my little bots that have invaded Slack, which it's been tremendous.

2:39Eric Siu:My team's like, oh my God. I'm like, you say you like it. How useful has it been? Oh my God, 10 out of 10, 10 out of 10.

2:44Neil Patel:I'm like, okay, all right, we'll do more. Yeah. Dude, I was telling Ethan about this concept because he has his AI lab where he helps people set up. Is it really a lab?

2:54Eric Siu:Uh-huh. Okay.

2:55Neil Patel:And he helps people set up, you know, all this stuff internally, whether it's OpenClaw or whatever you want to. Does he charge six grand for OpenClaw setups? I think it's, I think it was either five or$10 ,000. I think that's fair. Right? For businesses, yeah. And then including the PC or something like that.

3:12Eric Siu:That's a really good deal.

3:14Neil Patel:That's why I think it's closer to 10 grand.

3:16Eric Siu:If you include the Mac mini, he's probably make, that's like the Mac mini will cost like a thousand bucks or so. And then the rest, you know, he figures out. Yeah.

3:23Neil Patel:I think it's 10 grand or somewhere around there.

3:25Eric Siu:I think that's a good deal.

3:26Neil Patel:Um, so, you know, I was telling him, I was like, dude, I'm like the opportunity. And I don't know if he's, if he's doing this or not, but I think the opportunity in AI right now, if you're trying to set up a big business outside of creating LLM, which is very difficult and expensive and creating those lovables is very hard to do, you know, for every lovable that we see at 400 million and ARR, there's, I don't even know how many that are struggling, right? There's too many to count. Is do consulting where you help train people's AI to produce better outputs when their employees use them. So instead of training the employees, train the AI to adapt to the humans and do this at mass scale for everything from marketing to engineering, et cetera.

4:11Neil Patel:It's pretty much another version of Bain or McKinsey or Accenture, but specifically focus on just training AI to deal with people wherever they are versus trying to train the people. Because I think it's just going to be too hard to train the people.

4:24Eric Siu:Exactly. So that's why I think the sooner you get it working for yourself as in the organization, like your leaders, whoever's running AI, then you get these bots to invade your Slack channel or your team's channel. Everyone's going to learn because your team's going to feed it context. It's also going to feed context. It's just going to be like the self-reinforcing loop. And that's what we've been doing. And we've getting, I will say, we're getting more and more people reaching out to us saying, hey, we're hearing what you're talking about. Like, we want these enterprise agents set up. Like, we want these revenue agents.

4:50Eric Siu:We want these recruiting agents. We want all these things. So the market's kind of pulling us in that direction. So we'll see where it goes. But I do think it's like what Heaton's doing for the setup is huge. I think you and I, like what we're talking about right now, even what's happening on Twitter is probably like the top 1 % of the 1%. The vast majority of the world doesn't know about this stuff. And that's where I think the opportunity is. If you're listening to this and you're like 18 years old right now, I would just do this.

5:13Neil Patel:Yeah. Yeah. On a side note, speaking of AI, did I ever share with you the results that we ended up finding? Because of our size and scale and we're not the biggest agency, but we have enough data on certain industries where we know if you're recommended number one by ChatGPT versus number two versus number three. You should do that and then talk about the ads too. No, that's already out there. We put that out there. Oh, you did?

5:37Eric Siu:No, you didn't say it here.

5:39Neil Patel:Yeah, I don't know if I said it here. I'm trying to end up finding the chart. But it was interesting because I was just like, huh. Everyone knows that being position one on Google, it's worth so much more than being position two. But AI is way more of a winner take all than traditional search. So if you count the most revenue you can make as position number one, let's call that 100%. If you're position number two, you do roughly 32 % on position number one.

6:05Eric Siu:I was just going to say that.

6:06Neil Patel:And guess what position number three is compared to position number one? 5%. Close. 8%. Yeah. And position number four? 1.5%. Very close. 1%. Yeah. So pretty much if ChatGPT or Gemini or Perplexity is giving you a list, it's number one takes almost all the revenue. Then number two, and then it just pretty much doesn't matter.

6:28Eric Siu:This is the old way of SEO. Back in the day when there weren't any ads or anything, like number one got the lion's share. And then like they started pushing it down more and more. and then the click-through rate started going down more and more. So we'll see what happens, but that's good to know.

6:39Neil Patel:Dude, I don't have it posted. I'll end up showing you on this. Check this out. How chat GPT ads, because we were talking about this over text.

6:50Eric Siu:So what Neil has pulled up, so it says how chat GPT ads perform against meta and Google ads. So it shows chat GPT versus meta plus 256%. Okay. This is for lead quality, I believe, right? yeah i can't see but uh let me see let's see yeah lead quality okay so 256 percent up on chat gp versus meta but chat gp versus google 50 down yeah okay down yeah exactly 49 close enough

7:17Neil Patel:what's the bottom one the bottom one is cost per acquisition so cpa yeah so cpa chat gp versus

7:23Eric Siu:meta 46 cheaper and then chat gp versus google 38 cheaper so it's clearly a winner versus meta and then you're still going to get even Google if you want. On a CPA basis, yes.

7:36Neil Patel:Yeah, because as a marketer, we only care about CPA, right? Lead quality from Google is much higher than ChatGPT, but you also have to look at cost. Google Ads are some of the most expensive because lead quality doesn't assume cost. You can end up spending three, four times for a click because someone may end up typing in like, I'm looking for a global digital marketing agency, or I'm looking for the best ABM account, ABM software solution that works really well with LinkedIn. And then Carrot could end up showing up, right? You can end up bidding on it, but it's going to be a very expensive cost per click.

8:15Neil Patel:Lead quality, I totally agree. Google is extremely high on lead quality, but the ads are just so much cheaper right now on ChatGPT. It's the wild, wild west.

8:26Eric Siu:This just goes to show you again, every time with marketing, whenever a new ad channel comes out, you want to hit it really hard before the costs start to go up.

8:33Neil Patel:Yes. And a lot of people are struggling to get into ChatGPT ads, but they no longer need to struggle because ChatGPT just announced a partnership with Criteo. So now people should be able to get access to ChatGPT. Good for Criteo's business. Yes. I was shocked that they partnered with Criteo. Nobody talks about Criteo anymore. Yeah, because they're known for more of a spammy-ish, affiliate-ish type of network.

8:58Eric Siu:Must be a relationship somebody had in OpenAI with them.

9:02Neil Patel:I would assume that TradeSk would have got it. Who knows? Yeah.

9:06Eric Siu:A lot of this stuff is relationship-based. It totally is. So, okay. But let me ask you this. Kind of separately, because we're talking about just marketing in general right now. Have you added... Do you have APIs for both Ubersuggest and Answer to Public?

9:18Neil Patel:I don't know.

9:19Eric Siu:So I think APIs as marketing is going to become very big because you have the agents crawling the web, right? So I think your technical documentation is going to be important and then your APIs. Because the way I'm starting to work more now is within the LLMs. I'm just asking them to do stuff. So yesterday I was messing around with one of our agents, and we use this thing to send cold emails call instantly. I'm like, I don't want to make five. First, I don't want to write five different campaigns. Okay, that's number one. And then second, I don't want to load all the copy into these individual campaigns.

9:48Eric Siu:And I'm just like, hey, can you like create five campaigns for me and create like an expert panel of like legendary copywriters and email copywriters? And then recursively scored them until they're like, you know, 90 plus out of 100. And it does five versions for me. I'm like, these look pretty good. And I'm like, well, I don't want to load them. I'm like, anything you ask me to do, I just don't want to do it. Right. So I'm like, can you just like do it for me? And like it's like it loads everything. I check it. I'm like, oh, my God, it loads up. Right. So I'm like with the software you have, with the software I have, we need to have APIs for it.

10:16Eric Siu:So then the agents can discover it first because I don't think other people are doing it that quickly right now. And then you have to have good documentation and Mintlify has really good SEO, like not SEO, but software documentation.

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10:27Neil Patel:What is it called again? Mintlify. Mid, M-I-D? M-I-N-T-lify. Oh, mint. Like the... Like mint. Yeah, mint ice cream. Or yeah, that's true. Toothpaste.

10:38Eric Siu:So Mintlify, they've been growing faster and all they focus on was documentation. And I think they're going to grow even faster now because all these agents, that's all they read is documentation.

10:47Neil Patel:They don't care about like, you know, show me like a, you know, a bikini sports or something like that, you know? Yeah. And before you got into that topic, you mentioned relationships and how people close business through relationships. Do you want to take a guess on what portion or actually I'll ask you first, what portion of your agency revenue comes from relationships?

11:06Eric Siu:Well, what do you define as a relationship? Like they know you from your content? You know the person. Okay.

11:11Neil Patel:So not that they know of your brand or they know of the single grain brand. They may also know that, but you also know that individual or employee on your organization knows the other person who's interested in working with you.

11:23Eric Siu:I say 20%. Oh, wow.

11:26Neil Patel:Yeah. That's a good chunk.

11:27Eric Siu:Yeah. But we're also smaller. Correct.

11:29Neil Patel:On our SMB division, I don't know what the numbers are, but maybe some are similar. I'm guessing. I honestly don't know. I do know the majority does not come from relationships in our SMB division. That I'm 100 % on. Yeah. for enterprise over the last three months of our sales, I don't have March's numbers yet, but - Like 2 %? Relationships? Yeah. It's almost all relationships. Yeah. Okay.

11:53Eric Siu:So that's you, but you know these people is what you're saying.

11:58Neil Patel:Are you talking about me and my relationships or relationships within my organization? Okay. No, I was talking about you specifically. I don't know my percentage. I know the percentage of all of us combined.

12:11Eric Siu:Yeah, all of us, like that makes sense. That makes complete sense.

12:14Neil Patel:So when I look at like my managing director of Australia and his relationships, or Javi who leads LATAM for us, or Mike G, our CEO, majority, when I say majority, I'm talking about 90 plus percent is starting to become relationships. Now, some may be classified as like, oh, you got an RFP from this company. Oh, we got an RFP from that company because I have a relationship with someone who works on there or my team has a relationship with someone who works there. And we may end up winning that RFP. And if we did, you could be like, oh you got it because of rfp well if we didn't have the relationship we probably would have

12:45Eric Siu:never been included in the rfp you know i think so relationships aren't going away anytime soon but when you look at a lot of maybe these uh agencies or service companies that have become really bloated over time they still have the relationship so like the way is can you acquire the relationships and aiify what you can um and it's not like it's a new thesis or anything but it's like but it's clear to me that a lot of these are moving like dinosaurs um but the relationships are still incredibly valuable, but once they start to get hit more and more, they can't take it anymore, they're going to have to tap out and sell.

13:13Neil Patel:I think what people forget about relationships when you're doing deals, relationships create trust. And what we found is when people, when you do good work and people move from one company to another and they know you, yes, there's change when they're going to a new organization, but they also like a feeling of comfort and they know that if they hit you up and they work with you again, they can rely on you, they already know what to expect, and you should be performing. And I think that trust part is something that people overlook a lot in marketing, in which they're just like, yeah, we want to put the message out there, what can I end up doing to maximize my conversion rate?

13:55Neil Patel:But they forget to really emphasize on building trust. And Google's talked about this for ages with the double E-A-T, right? The last one being trust in E. if you end up building that trust, I just think it works so well for you in the long run.

14:10Eric Siu:That's why throwing nice events are good for building relationships at scale sometimes. Yeah, and let's go back to dinners. Do you still do your dinners here? Every two months or so, three months. I was doing it every month for a little bit, but I'm so heads down with this. You know, my eyes hurt like hell every night when I go to bed because I'm on this until I burn my eyes out. Have you tried drops? I do drops, but you have a LASIK issue I have, right? Where like your lipids don't, the oils don't come back as quickly. So your eyes dry out quickly. So I do use drops, but then because I'm just, I can't, every time my eyes come back, I just, I get on it again, I burn it out.

14:47Eric Siu:But my point is, yes, I've been doing it dinners, but less. And then the thing is all those dinners have been AI dinners. And then all those founders are also doing the same thing. They're burning their eyes out every day. So yeah. Yeah.

14:56Neil Patel:I have the same issue. I didn't know you had laser eye surgery. Yeah. But yeah, I did. You have the same issue. Yeah. My eyes are dry. I don't really feel it like you feel it. I'm also not on the screen as much. I'm more on my phone call. So I'm not looking at my screen. You're talking. Yeah, I'm talking. But every time I go to optometrists, they always tell me like, oh, you need to do this. Try putting this like Vaseline type thing in your eye.

15:18Eric Siu:I'm like, why? Your eyes are dry. It didn't help. I did it for six months. It didn't help. So I went to a doctor right next to the doctor I have in Beverly Hills. But so the big thing I found, this is a little tangent. but like if you look at your phone too much and it's a dark room that it like it screws it up way faster so don't do that huh yeah like i i worked out that was with chat chp i was like why is that it's like i explained all the science i'm like okay makes sense so dude the time i look at my

15:42Neil Patel:phone more than anything when it's dark is on an airplane yeah which is really bad yeah to watch

15:47Eric Siu:like movies and then i fall you watch on your phone your phone on your phone dude i copied your

15:52Neil Patel:phone you know how you have the macbook not macbook uh iphone air i ended up buying your exact same

15:57Eric Siu:Oh, nice.

15:59Neil Patel:Because when you're on an airplane. You watch movies on this on the airplane, on the iPad. I got rid of the iPad.

16:04Eric Siu:Why?

16:05Neil Patel:It was just harder to deal with work.

16:08Eric Siu:Dude, it's so good for movies. Yeah.

16:09Neil Patel:My problem with the iPad, I've been using, you kind of nailed it. Earlier you mentioned I probably use AI a lot for tax-related questions. I use AI a lot for structuring-related questions and spreadsheets. So still finance. It's not always tax, but even structuring indirectly, it is related to taxes. Finances is related to taxes one way or another. I've always found that, and because of AI, it's just so much easier for me to crank out reports and slice and dice the data. It's just harder to get the data in a format I want on an iPad. And it's just easier for me to do crap with a computer.

16:50Eric Siu:So you're using cloud code within the cloud app, I'm assuming. Yes. Right. Okay. That's how you're using it. Okay. Yeah. There's so many things we can talk about there.

16:57Neil Patel:But we also export a lot of data to Excel.

17:01Eric Siu:Yeah.

17:01Neil Patel:And then when you export to Excel, because I'm really good at using Excel, it's just easier for me to use Excel on my laptop than the iPad. Because the iPad versions of a lot of these softwares, yes, it's pretty much the same, but it's not identically the same. And just for some reason, I just do better using it on my laptop.

17:21Eric Siu:Imagine if you had a secure version of a claw. So like NVIDIA is coming out with Nemo Claw, which is like their version of OpenClaw, but it's secure, right? So imagine they come out with that and it's sitting on your phone. It's ingesting all of the text that you're getting on the updates and all that. And because you work with it as your co-pilot and the charts you make, it understands your behavior over time. And it builds on that and it just starts to make the charts for you over time. And it makes better charts for you too.

17:43Neil Patel:We've tried using AI for the charts so much. We try every single month because if we did that... It's okay. Just keep trying. Yeah, we would save on the design budget. you want to know the biggest problem when we actually put the inputs into ai for the charts this is going to sound like the stupidest problem i wouldn't say it's not 100 of the time yeah but like and it's not even 50 of the time maybe like uh 15 to 20 of the time it messes up the design yeah so it doesn't keep the exact style guide no matter what you tell it and then i would say 25 to 30 percent of the time it messes up the data yeah that makes sense so then and then to fix it because we look at the cost right to fix it and find the errors because a lot of the people the designers don't find the errors that's more costly to us the reputational hit than just having it done right so oh you can't show that to clients obviously no no we can't but what we find is people will say they check it and they don't check it.

18:48Neil Patel:So then when we do it manually, there's less errors. And the cost isn't that high. Like my design cost for the charts is call it around$3 ,000 a month. At$3 ,000 a month, yeah, I don't care. And I don't want the reputational hit of just AI messing up. But one day it will get it right 100 % of the time. Will it be six months or a year? The technology is there. They just got to fine tune this stuff. Anyway, that's it for today, guys.

19:11Eric Siu:Please don't forget to rate, review, and subscribe. And we'll see you later. Thank you.

From the publisher

Neil and Eric discuss how AI can turn you into a learning machine or a lazy one, why AI agents inside teams are transforming productivity, and how businesses can win by training AI instead of people. They break down ChatGPT ad performance vs Google and Meta, the winner-take-all nature of AI SEO rankings, and why relationships still drive enterprise revenue. Learn how to leverage AI for marketing, sales, and operations while avoiding costly mistakes.

Key Takeaways:

AI makes you smarter or lazier

AI agents are reshaping teams

Position #1 wins AI search

Chapters:

(00:00) AI: Learning vs Laziness

(00:33) Smart vs Lazy Users

(01:04) AI Agents in Teams

(01:29) AI Coaching Employees

(03:00) AI Business Opportunities

(05:19) AI SEO Rankings Data

(06:47) ChatGPT Ads vs Google

(09:13) APIs and AI Agents

(10:59) Power of Relationships

(14:18) Networking and Trust

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