In short
Podcast Notes: Marketing School - What Businesses Get COMPLETELY Wrong About "AI Employees"
Episode Summary In this episode of Marketing School, Neil Patel and Eric Siu provide insights from a live pitch for the AI startup Single Brain. They dissect the presentation to highlight effective sales messaging, the importance of positioning AI as a productivity partner rather than a job replacement, and strategies for improving storytelling and sales deck design.
Key Takeaways
- Positioning AI: Focus on AI as an augmentation tool to enhance productivity, not as a replacement for human employees.
- Simplify Your Decks: Simple, clear slides are more effective in closing deals than overly complex presentations.
- AI Growth vs. Revenue: Rapid growth in AI does not automatically lead to sustainable revenue; retention and unit economics are critical.
Episode Chapters
- (00:00) Live AI Pitch Breakdown
- (01:01) Single Brain Concept Explained
- (03:33) Fixing AI Sales Messaging
- (05:42) AI Adoption vs. Reality Gap
- (07:01) Simplifying Product Slides
- (08:52) AI Agent Team Strategy
- (11:04) AI Startups and Growth Models
- (12:18) Lovable vs. Cursor Economics
- (15:22) AI Cost and Retention Insights
Detailed Discussion Points
Live AI Pitch Breakdown
- The episode begins with a live breakdown of the Single Brain pitch.
- Neil and Eric critique the visual design and messaging of the pitch, emphasizing the need for clarity and relevance to the audience.
Selling AI as Augmentation
- Neil stresses the significance of language in sales pitches.
- Avoid using terms that imply replacement of human jobs; focus instead on how AI can relieve teams from mundane tasks to focus on higher-value work.
Improving Sales Messaging
- Eric highlights the importance of aligning messaging with the intended audience (e.g., sales teams vs. marketing teams).
- Key phrases that resonate with potential clients can drive engagement and approval in sales pitches.
Simplifying Product Slides
- Both hosts advocate for concise communication and suggest following Guy Kawasaki's "10/20/30" rule: 10 slides, 20 minutes, and 30-point font.
- Overly technical jargon dilutes the message; focus on one main idea per slide.
AI Business Models
- The discussion shifts to comparing different AI startups like Lovable and Cursor.
- They explore unit economics, retention rates, and growth strategies, emphasizing the need for sustainable business models.
Metrics and Retention Challenges
- Neil brings up important metrics, noting that high churn rates can lead to misleading financial health (e.g., high net dollar retention despite significant customer turnover).
- Retention is highlighted as a critical challenge in the AI industry, where businesses must ensure they keep customers engaged and satisfied.
Conclusion The episode wraps up by reminding listeners of the evolving nature of AI in business and the importance of understanding its role as a supportive tool rather than a replacement. Neil and Eric encourage continuous learning and adaptation in the face of changing market dynamics, particularly in the realm of AI monetization and go-to-market strategies.
---
Call to Action
- The hosts encourage listeners to rate, review, and subscribe to the podcast for more insightful marketing lessons and strategies.
- They also mention the importance of subscribing to their YouTube channel for additional content.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOPitching the Single Brain Concept
0:46 to 4:00
Exploration of the 'Single Brain' AI concept and live pitch dynamics.
“going to end up reading the deck so then that way i can understand it as a quote-unquote potential customer right so i'm going to be in the shoes of potential customer uh so in this case do you pitch or do I read it?”
Target Audience and Pitch Strategy
4:01 to 6:50
Discussion of the target audience for AI solutions and effective pitch strategies.
“Actually the single grain logo should just be a brain now, to be honest.”
Designing Effective AI Pitches
6:51 to 10:10
Advice on designing AI pitches and avoiding common pitfalls.
“So you're just like X amount of dollars just got wasted.”
Understanding Market Dynamics
10:11 to 12:00
Insights into the dynamics of AI adoption and market expectations.
“But the whole idea here I think is, okay, meet your team is cool, but maybe there's just, you have like one key like example of what it's done for each one, but you don't want the slide to be too overwhelming again.”
Company Comparisons: Lovable vs. Cursor
12:01 to 14:00
Comparison of Lovable and Cursor's revenue strategies and performance.
“I think their growth is accelerating based on the last TechCrunch report that I saw.”
Employee Metrics and Revenue Insights
14:00 to 14:20
Learn about the employee growth and revenue metrics of AI companies.
“Now, they've grown because they're at 400.”
Understanding Unit Economics in AI Businesses
14:20 to 15:01
Explore the financial dynamics of AI businesses and their profit margins.
“is because their numbers are already public and they're sharing them themselves or else I would have never shared them.”
Cursor's Revenue Model and Subscription Experience
15:01 to 15:17
Discuss the revenue model of Cursor and personal subscription experiences.
Innovative AI Usage Example at Chipotle
15:17 to 16:05
Discover a unique way AI is being utilized in the ordering process at Chipotle.
“yeah you want to know a quick way to save money on ai but this is from my boy om patel i'm saying he's my boy because the last name is patel but i actually don't know how like no okay so check this out.”
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. dude i have so this deck over here this is the single brain right and it like it drew this all and it's going to get things wrong but like i actually kind of like the design you're paying
0:39Neil Patel:robots to do human work wait let's go through the deck right now if you don't mind or you do yeah sure we can go through it all right so eric has this concept of single brain yeah and i'm going to end up reading the deck so then that way i can understand it as a quote-unquote potential customer right so i'm going to be in the shoes of potential customer uh so in this case do you pitch or do I read it? So this has never been pitched.
1:00Eric Siu:I'll pitch it to you and let's see what you think. All right, yeah. This will be a live pitch. And this will be on the, see, this is why you guys should subscribe to the YouTube channel. And we have a new YouTube company working on the channel too. So they promise us five times more views or they'll refund us and give us our money back.
1:14Neil Patel:I like this refunding. This is a good deal, right? Yeah, so here we go.
1:17Eric Siu:All right. So the deck over here, those of you that can't see, it's single brain. Now, Mio, you can see like this, this is a brain over here, but it's got a, first I thought the brain was farting, but no no it's like a rocket it's like a rocket there's a rocket coming out of the brain right um so it's a single brain ai agent teams for revenue operations two to three x your revenue output without growing headcount okay and you see all these stick figures over here right it's like all happy and stuff okay i didn't tell it i didn't give it much instruction but that's like pretty
1:45Neil Patel:cool reverse okay and do you have a lot of slides there's like 11 okay so do you want me to give you feedback slide by slide because i may forget some for modifying sure but by the way keep in mind.
1:55Eric Siu:This is the outline. This is not being pitched or anything. But yeah, go ahead.
1:59Neil Patel:And as a disclaimer, Eric did mention they've never used this to pitch anything. And I'm assuming you're going to modify it yourself. And a lot of this you may already know. So who are you pitching to?
2:11Eric Siu:So most of the companies, so the companies we've talked to about this right now, the ones that come to mind immediately, there's a private equity firm that owns a bunch of insurance companies. Okay. So obviously they were talking like trillions of spend that goes through these insurance companies, right? There's a company that does IT services, let's say to do a hundred million a year or so. And then there is another one in healthcare. They do about 80 million a year. So what departments are you pitching to specifically? It varies. Like the private equity insurance one, they want revenue agents to generate more conversations.
2:46Eric Siu:Okay. So that's called sales. The other one, the IT company is also sales as well. The other one is more so, I think it's, we haven't, I need to get more details from the sales team, but I don't have, but they're like, oh, it needs to be HIPAA compliant and everything. So I think that's more back office. Yeah.
3:03Neil Patel:So Eric already knows this, but this is just context for everyone who's listening. The reason I asked that question is, if you're pitching to sales, revenue is a great terminology to use. If you're pitching to marketers, if you focus on revenue operations, they'll end up thinking it may end up being a different department. But Eric's already, you know, or AI ended up creating something that's already quote unquote using the correct verbiage for the departments he's targeting.
3:29Eric Siu:By the way, I do really like this design because I use Google Nano Banana for it. So within my little claw I talked to here, I was like, hey, based on everything we talked about, make me some cute slides based on, you know, look at our brands. I make it cartoony, okay? And I said, use Google Nano Banana 2, which is a new model. So just context.
3:46Neil Patel:I think the design's great. The only thing I would change here is the single brain. And I know AI spit this out. Have someone or AI take your logo and change it from single grain to single brain. So then that way the branding is consistent. Yeah. Actually the single grain logo should just be a brain now, to be honest. So the single, you know what I mean?
4:07Eric Siu:Yeah. So, okay. Then this slide. This is actually where I got the quote from. The AI gave me the quote. Stop paying humans to do robot work. I like the quote. Yeah. So you are paying humans to do robot work. This is what it says on the second slide over here. So 1.5 to 3 million annual sales plus marketing payroll, 80 % spent on repetitive ops tasks, six months to hire plus ramp one person. So I don't like this one as much because I don't want to go with the angle that I want to replace anybody. I want to go with the angle that we're here to partner with the team and we're going to help make their team, you know, everyone gets to like a top high level.
4:40Eric Siu:Because if you start using replacement language, the people on this pitch, they might not, They don't want to hear that. Correct.
4:44Neil Patel:And they're not going to approve, including procurement, they're not going to approve.
4:48Eric Siu:Who do you think is buying this? It's humans. Yeah, yeah, yeah.
4:50Neil Patel:So go ahead. I like this. And I think you're spot on in which you just got to optimize it to talk about how humans are wasting time on robot work and there's more better things that they could be doing. And when you do it, it frees up their time. They're happier. You have less employee churn. They get more productive. Companies grow.
5:13Eric Siu:he'll get the stats room somewhere. AI will start researching. That's good stuff. So in the slides, ideally, if you're selling this stuff, it's just be like, employee NPS goes up, retention goes up, all this stuff. The number of A players you have goes up as well.
5:24Neil Patel:Yes. A human on average saves X amount of time and they reallocate a portion of the time to doing A, B, and C, which we found to produce companies at X percent higher ROI.
5:35Eric Siu:And then our glass doors went up by like 50 % afterwards. Yeah. Tons of stats. So yeah. We'll do one more. One more slide. But everybody is selling AI. Let's go through all of them, if you don't mind. These are good. There's 14 slides, actually. I don't mind. Okay. So everybody is selling AI. Almost nobody is deploying it. So 8 to 12 AI tool subscriptions that won't talk to you. So you can see it hallucinates. It spells incorrectly here. So instead of saying talk to each other, it says enact each other. Okay. Your team spends more time managing AI tone than it means today. Okay. The gap is who deploys AI end-to-end inside of your business.
6:11Eric Siu:Okay, so the point is understood, but it hallucinates.
6:14Neil Patel:It hallucinates. And Eric made a good point here with that an act instead of each. AI makes a lot of little errors and people would be like, oh, it's so smart. It's a$500 billion company. They wouldn't make simple errors like this. No, they still make simple errors all the time. And this is why I do charts manually or Eric still looks at a lot of stuff and does a lot of stuff manually. I think this slide is fine. I think the big thing here, and I know you're not the biggest fan of this slide overall, but it's more so showing stats on how much people are spending on AI and how very little is deployed because there must be some stats on this.
6:54Neil Patel:So you're just like X amount of dollars just got wasted.
6:57Eric Siu:And by the way, this is where you work with AI and say, hey, I pull these stats over here. Hey, I like the first round, compliment it a little bit so it doesn't come like after you in the future. Right. And then say, hey, I found all these stats over here. Please integrate them in and they'll figure out where to put them in. And sometimes you have to be more specific, but I think, look, where Nano Banana 2 is, like you look at this like a year ago, it couldn't do this.
7:15Neil Patel:Yeah.
7:15Eric Siu:Yeah. So, okay, custom AI agent teams fully managed. Not a tool, an AI managed team running 24-7. Plugs into Salesforce, Gong, Google Analytics 4, Slack. We deploy, manage, you see results. Get smarter every week intelligence compounds. Single brain, HubSpot, Google, Gong engine compounds. This slide needs some work, but.
7:36Neil Patel:Yeah, I agree. It's too wordy. Yeah. I got lost on the headline, custom agent teams fully manage. And then when you start reading a text, it's too technical is not the wrong word, but they're using a lot of technical jargon when I don't think it's necessarily needed.
7:52Eric Siu:Remember Guy Kawasaki, the Apple evangelist? Uh-huh. So I remember his 10, 20, 30 concept? With the PowerPoints. Yeah. So I think it's like 10 slides or something. I think you want 30 point slides. And then I forgot what the 20 was in 20 minutes, maybe. Something like that. Yeah. And you know, he eventually switched to Canva Evangelist. So he did Apple Evangelist,
8:13Neil Patel:where he made a ton of money from Apple stock. Then he did Garage Ventures, which I don't know how well did. And I'm not saying he's a bad investor. I just don't know how well his venture fund did. Did really well writing books and then did extremely well being a Canva Evangelist and getting shares early.
8:30Eric Siu:I have two funny stories about him. Back when I was doing the interviews for the podcast, Growth Everywhere, so we're supposed to do an interview the guy shows up uh doesn't show up for the interview comes back 45 minutes later he's like oh i'm sorry i was just surfing sounds like yeah sounds like a very chill like hawaiian guy right um and then i remember when i was 24 25 years old i was asking about career advice i'm like becoming an entrepreneur and he's like you mean you wouldn't work you wouldn't give it your all and work full time at this company why would you do that right and then i shared that story with him later but anyway um guy kawasaki coming back to this so he has this concept called 10 20 30 with the slides i think for each slide you should have one main idea that's it don't have all this crap right one main idea communicate if there's a story communicate the story you don't need to have all this like this this is jargon yeah right so we'll do like one more i don't want to go through all of them okay meet your agent team okay this is kind of cool um so it shows the agent team it's like when you meet your team uh on the agency side like they want to meet the team right so um oracle seo intelligence arrow crm monitoring like and then cyborg so i have all these names these are all dc heroes um i was wondering i'm like why are you calling something oracle i'm like someone's gonna get confused so it's a dc hero yeah so cyborg is from um i don't know cyborg no okay but you know you remember arrow green arrow the guy that shoots the bow and arrow i think there was a tv show called arrow yeah that guy i didn't really watch it flash you know flash the guy that runs really fast okay yeah so those are all my flash Flash here?
9:58Eric Siu:Where's Flash? Flash is not in here, but we have Coach as well. And then there's like all these other ones. Is there actually a person named Coach? Coach is more so it looks at all my stuff and it coaches me when it thinks I'm like working on stupid stuff. So it's keeping me focused. Oh, not a DC hero for Coach. Not a DC hero, yeah. But the whole idea here I think is, okay, meet your team is cool, but maybe there's just, you have like one key like example of what it's done for each one, but you don't want the slide to be too overwhelming again.
10:24Neil Patel:So, yeah, I'm with you. I think if you take it down to 10 slides, shorten it up, use examples, tighten in the copy and just being like, what you do really well when you sell, forget your team, I don't know how your team's gonna do it. When it's your product, you know it well and you can just say like, look at what it does for HR. Let's say if they're in HR, look at what it does for sales. Well, what's your problem? Oh, your problem is this and then you go show them a solution right then and there.
10:51Eric Siu:That kind of stuff just does well without even slides. And that's when you have to know your product really well. But the good thing is, I would say Neil and I are pretty involved product founders, I would say. So we like to get involved in the details there. But anyway, I think, look, our point is Neil was just talking about the reason I pulled this up was like Neil was talking about how the his decks aren't quite there or the spreadsheets aren't quite there yet. And this is like not quite there. But I think, you know, give it six to 12 months, I think we'll be pretty, pretty there.
11:18Neil Patel:Yeah, where people look at AI in the wrong way, at least from a marketing perspective, they expect it to be perfect instead of looking at it as like, oh, okay, if I use it, it'll save X time and then a human can pick up the rest and then fix the gaps. And it's like, oh, great.
11:33Eric Siu:But yeah, guys, API as marketing, I think that's the future that we're going into. By the way, you talked about Lovable a little earlier. I want to, let me just ask you a philosophical question here. Would you rather have Lovable's 400 million in ARR or would you rather have Cursor's 2 billion in ARR?
11:46Neil Patel:I would go for Cursor. And even though some people are saying Cursor is going to be replaced by Claude, it integrates really well. A lot of people who use Claude also use Cursor. And Cursor's growth is actually still picking up. I think their growth is accelerating based on the last TechCrunch report that I saw. And when Eric's asking me this question, what I'm thinking right now is which company would I want to own right now and then sell? Not hold.
12:12Eric Siu:I would want to sell both of them if I owned both of them. Exactly. So I think we're on the same page here. I would sell both, but Akash, is it Gupta or Gupta?
12:23Eric Siu:Gupta, right? Gupta? You're the Indian.
12:27Neil Patel:Gupta.
Read the full transcript
12:27Eric Siu:Gupta. Okay. Akash Gupta. So I follow this guy. He's great with product. Tweets a lot of great stuff. So 100 million in ARR in eight months, 200 million ARR in 12 months, 300 million ARR in 14 months, 400 million in 15 months. So this is Lovable's growth, by the way. so so what uh lovable's or bolt ceo boat is like a similar company the churn rate for everyone is really high you have to you have to build a retentive business so these businesses where you kind of spin up a website very quickly what's happening right now a clod is allowing you with co-work and all these things like you're it's allowing you to do that very quickly too um traffic to lovable dropped 40 from the peak as of september versell's v0 which is a similar type of tool dropped 64 percent both dropped 27 percent um and so people are like barclays basically these analysts are flagging it these companies revenue that's like questionable economics right um well do you want to know some of lovable's economics so employ well let me let me give you this one and then let's go for it yeah so um lovable's response so um says net dollar retention is above 100 which is good right but but but net dollar retention only measures customers who stay so if 50 % of your customers churn and the remaining 50 % spend two times more.
13:39Eric Siu:Your NDR looks incredible while your business is a revolving door. So continue.
13:43Neil Patel:Yeah. So it was sometime last year, an employee at Lovable told me they were adding, I believe it was$20 million a week in new revenue. Want to guess how much was churning? 50%. 15 million. So they're net adding five per week. Wow. Now, they've grown because they're at 400. So I don't know what their latest number was. This was sometime last year, but they were saying they're doing around 20 a week. 15 is churning.
14:13Eric Siu:Yeah. So let me give you more metrics here. And I think this will reinforce the cursor thing. And then the cursor thing that you -
14:18Neil Patel:And really quick, the only reason I shared the numbers is because their numbers are already public and they're sharing them themselves or else I would have never shared them.
14:24Eric Siu:Yeah. So the unit economics are even spicier, Neil. Lovable pays Anthropic and OpenAid per inference call, obviously, okay? Every app a user builds cost-lovable real money. A source told sifted margins might have actually gotten worse after switching to agentic modes. I think that's one of the modes that they have. So when you have 45 employees generating 400 million AR, the revenue per employee looks legendary until you realize that most of that revenue passes through to the model providers. Okay, who's really winning? It's Anthropic and OpenAI. So meanwhile, the thing that we didn't really talk about was Cursor has 2 billion in AR with 60 % coming from enterprise contracts.
15:00Eric Siu:That's the difference. And I still pay for Cursor, by the way. yeah we did too i don't use it for all the other bells it's always launching new features i don't click i just like use the main like ide feature and that's all i use it for so and i paid a 20
15:13Neil Patel:bucks a month happily yeah i don't really use cursor but i know we pay for for our organization yeah you want to know a quick way to save money on ai but this is from my boy om patel i'm saying he's my boy because the last name is patel but i actually don't know how like no okay so check this out. So he's on Chipotle. I saw that. So what is this? He's using Claude. Pepper. So before he... You can order through Chipotle because they have really smart AI-assisted. I don't know. I'm pretty sure this is true. I haven't tested this myself. He's like, before I order a burrito and then he's like, help me with this one problem.
15:48Neil Patel:So he's asking Chipotle because they're using Claude to help solve his problems and then that way he doesn't
15:55Eric Siu:have to pay for Claude. That's awesome. And I think, so that exploded on Twitter today. Yeah, it had like 4.5 million views. So their token cost must have gone through the roof.
16:04Neil Patel:Yeah, 5.6 million views already. Last time I checked them, when I checked, it was like an hour or two ago. It was 4 point something million.
16:10Eric Siu:Anyway, that's it for today, guys. Please don't forget to rate, review, and subscribe. And we'll see you later.
From the publisher
Neil and Eric break down a live AI startup pitch for Single Brain, sharing raw feedback on sales decks, messaging, and positioning AI without triggering fear of job replacement. They discuss how to simplify slides, improve storytelling, and sell AI as a productivity partner. The conversation also dives into AI business models, comparing Cursor vs Lovable, retention challenges, and hidden unit economics behind fast-growing AI tools. A must-watch for founders, marketers, and operators navigating AI monetization and go-to-market strategy.
Key Takeaways:
Sell AI as augmentation, not replacement
Simple decks close more deals
AI growth ≠ sustainable revenue
Chapters:
(00:00) Live AI pitch breakdown
(01:01) Single Brain concept explained
(03:33) Fixing AI sales messaging
(05:42) AI adoption vs reality gap
(07:01) Simplifying product slides
(08:52) AI agent team strategy
(11:04) AI startups and growth models
(12:18) Lovable vs Cursor economics
(15:22) AI cost and retention insights
