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A
Let's be real. The hardest part about building a startup today is getting customers to the startup. You can vibe code stuff now super easily, we all know that. But getting customers to drive revenue is hard. So how can you actually set up marketing agents that help you do this? I feel like a bunch of people have talked about this, but no one's really gone in depth and clearly explained what a marketing agent is and how you can use it to to go and get you customers. In today's episode, it's two parts. We give you a startup idea that I really love, and then we also explain what marketing agents are, how you can set them up, what are the tools you need to understand if you actually want to be a marketing agent manager. And Cody Schneider just does an incredible job on this episode of explaining everything end to end. So enjoy the episode and I'll see you at the end. Tipping time, baby. Thank the good Lord that Cody Schneider is back on the podcast. Cody, by the end of the episode, what are people going to get out of this?
B
Yeah, I'm going to show you and share everything that you need to actually deploy real marketing agents. And I'm not talking about some like zapier automation workflow that's linear. I'm talking about like code in the cloud that's making decisions off of your live business data. And then I'm also going to give you three businesses that are concrete so you can basically feel like, okay, what these agents actually look like for a specific company type. So you're going to walk away with three business ideas and also the agents that you should potentially deploy for them, how to actually deploy them for them so you can grow the company autonomously.
A
As you say, may the MRR Gods be with us.
B
Blessed be thy name.
A
Let's go.
B
Awesome, man.
A
Cool.
B
So I think just to start out, like, what is a marketing agent, right? Like, I see this thrown around so much and it drives me nuts and I've talked to so many people and that I, you know, talk huge game on the Internet and then you like actually get down to the brass tacks with them on a conversation. You're like, you're so full of shit just to be one. So to me, like, what is it? What is a marketing agent? It has to be three things. It's like you have to solve the data problem to like, give the agent unified data clarity of the whole pipeline. And then you have to be able to have the agent autonomously making decisions on some type of cadence with a thinking loop in it. So in practice, the infrastructure that's necessary for that. You got to build a data pipeline, a data warehouse, and then have the ability to host these agents in the cloud. And when I say an agent, it doesn't have to be this AGI Hermes thing or it can think on its own. I actually don't want that. Like I want something that is like doing a process for me and then looking at the data and then basically like improving based off the data that's getting back from it. So I just want to like define that really quickly for the audience because I think that there's so much out there that's like, this is a totally autonomous agent that's like running your, your like entire marketing stack. And it's like, no, it's not like this N8N workflow, I guarantee you, is not entirely running your marketing stack. But in contrast, like I can. And we like, we'll talk about this day like you can make an agent entirely run Facebook ads now. And I'm talking about like it is researching the pain points, it is researching the outcomes. Your target customer, it's making creative that's on brand, both statics and also like AI Avatar, ugc, it's publishing that content into your Facebook ads account. It's turning off the losers, it's promoting the winners and then it's going in a feedback loop where it's like, okay, what, what is actually working and how do I go and basically make more content like the best performers. And I'll talk through all that today and try to show you as much as I can. It's not, not really easy to show cause it's just like code. But anyway we'll go through that. So.
A
Yeah.
B
And then just to jump into it, the first business that I want to talk about to use is kind of like a, just a, a sandbox for like how would you actually build and deploy these agents for this? Like this company type is AI for WordPress. I've talked about this before online but like I, I've actually pitched like three startup founders this that are like, we got into yc, we don't know what to pivot into. And I just, they always just like are like, no, I don't want to do this. So I just wanted to hit on this idea. So let me, let me just screen share real quick and kind of show you the data for this. Cause I think it's just fascinating and I think it's such a huge category that like nobody is talking about right now. Like nobody's really executing on.
A
And before People's like eyes glaze over in there and they tune this out. WordPress is bigger than you think.
B
So WordPress powers like 50% plus of the Internet, right?
A
40 like it's, I just checked 43% of the Internet websites that are, websites
B
that are indexed by Google are WordPress websites.
A
No one's building stuff for WordPress.
B
It's insane man. It's insane. And it's like it's such an easy space to compete in. It's kind of blue ocean for this. And all I'm going to pitch to you today is like literally it's just lovable or anything.com but for WordPress, right? So you're just, all you're doing is you're making it so that people can like vibe code their website but like on top of the WordPress platform. And then the business structure is super simple. It's like hey, you get all this stack, like you get forms solved, you get like, you know, maybe a CRM. You like all of these plugins that people would go and like hodgepodge together. You just bundle that up into a single package and then you sell tokens. So it's like whatever base tier is $29 a month that gets you X amount of tokens and then that makes you, so that you can go and basically like, you know, build out, design the site with this like pre built in, like you know, get forms, these pre built features.
A
So you got me thinking that I actually think that there's a bigger opportunity here than just the lovable for WordPress because, and you don't know this about me, but back When I was 19 years old, 2000, I don't know, I'm bad with math. 2000 like 11 or something. I was a partner in an agency and the agency's job was basically to get people off their existing CMS and move it to WordPress. And we were officially partnered with WordPress on doing that. So if you called WordPress and you're like Time.com, time magazine, you're on some custom CMS, they would be like work with Greg and team to move and do the migration to WordPress. WordPress is happy because they want more people, right? And Time.com is happy because they basically need someone to handhold through the process. So it was a great business. We did like time.com, techcrunch.com, bunch of big websites. The amount of money I saw in the WordPress automatic ecosystem and plugins was absolutely absurd. So what you got me thinking about is the play is basically, how do you find plugins that have validated demand that don't have an AI component, and building the AI first version of each because you already know that there's proven demand, people are paying for it, and then you just make them 10x better with agents. So I'll give you a couple of examples. The Yoast SEO tool, do you know about that one?
B
Yes, I've used it forever ago.
A
Forever ago, right? I think it was. I think it's a guy named Yoast. I could be wrong, but I think it's a guy named Yoast. There is no way that they, you know, that they have an AI first version of that. So, you know, instead of showing you red and green dots and telling you to fix things yourself, just have an agent do it. It writes the meta, it restructures the content, it adds the internal links. Like, make it AI first and I'll give you a couple more WPForms. That was a huge plugin back in the day. Make an AI form that talks back. So instead of doing like a static form, you do like a conversational agent that qualifies a lead and answers questions. WooCommerce, one of the most popular, you know, WordPress plugins. You know, do like an AI storekeeper. So it automatically writes product descriptions. Abandoned cart flows, you know, it can go on and on. Another, another one is a kismet, which is the spam plugin. Like there's just so many.
B
So all you have to do security. Like there's. It's just endless, right?
A
It's endless.
B
So many have these.
A
There's so many. And people are paying for it. 43% of the Internet is, is, is powered by it. The hard part is, is obviously building the product, you know, making it good, making it work, and then finding, you know, a distribution channel that you can actually get customers.
B
Totally. And I think that again, the bundling of all this is where the opportunity is. It's like, hey, I'm going to give you all, like all the plugins that you would normally be paying for. Instead of the aggregate of those 10 that are necessary now you pay a 10th of the cost, you know, or a fifth of the cost, and I'm going to give you everything. And you're going to also be able to like vibe code to the design of this, right? Like that is the business opportunity here. And then to your point, like, how do you market this? Right? And this is where this gets so fun. Like, I'm having the most fun in my Entire career right now with what we're doing. And so I can't wait to like share this with you guys. But anyway, so the op, like how when I think look at this company, like where do you meet the people that are like trying to learn, like how do I do this? Or how do I, you know, do this work with my WordPress site? So like Facebook ads and Google Ads are going to be the first two places that you can go to. And I'm going to talk through a bunch of different things, different opportunities, but this is just like we're gonna just run down the list of all the things that you could do and here's how to deploy agents for them. So on the Facebook ad side. So for targeting on Facebook anymore after Andromeda, you don't do interest based targeting. Historically how I would probably do this is I would actually go and I would target people who have a WordPress interest on Facebook ads. Now you don't need to do that. You just basically have to make ad creative that is talking to the pain points or the outcomes of the person that you're trying to sell to and then send them to a landing page that like describes what the product is. So what is Andromeda? What, how does it work? And like what, what, what do you need to know about this? So Andromeda is Facebook's new like ad algorithm, right? It basically it decides what ads get shown to what people and how it functions. Is the, the AI is basically looking at the ad creative and it's understanding, okay, like what is in this static ad, what is the image, what is the text, what is the video, what's in the video, what's the script of the video? And then also understands the landing page that it's sending the people to. And then from that it basically uses that information to decide what ad gets shown to what person on the platform. So I, you know, jokingly on Twitter, I've been saying this a lot. And I mean, I mean this though, from like the bottom of my heart. Facebook has turned into the best B2B ads channel and that exists right now. And the reason for this is like we'll make these ads that are so obscure. Like it's like Maybe there's like 10 people in the, in the US right that like would, would be having this problem right now. And Facebook will find those people and show that ad to it and we'll get that lead, like a qualified lead for a B2B business. It's ridiculous. So anyway, to take a step back to the WordPress side, like this for WordPress thing, what you end up doing. And like I can already see what the creative looks like. Like the script ends up being like something like this. Like, oh, this is kind of crazy. I used to be paying my agency a thousand dollars a month to maintain my WordPress site and they were not responsive and they never like actually could do the designs that I wanted. But I just found this, this, this plugin for WordPress that makes it so that I can chat with AI to change my website. And it includes all these plugins that I used to have to pay extra money for. It's just a part of it for free. Click the link to learn more. If you run an ad like that, Facebook is going to automatically identify, okay, These people are WordPress website owners. They have this problem. It's going to show that to them. And then you basically set up a conversion event for the signup action for the payment action that's deeper within the funnel. So how do you actually do all of that? Like, I'm just, I'm talking through all this. Let's just like go into this deep and break down like what this actually looks like from an agent perspective. Perspective. So, okay, so the first thing is researching the pain points of your target customer. I'm just going to use perplexity for this because I've just found that it's, it's easy to do live like sharing this. Actually let me stop this and I'll screen share a different way just so that you can just see the window. And for this we're just going to do like scrape Reddit pain points and outcomes that people that run WordPress websites have for like, why would they buy an AI WordPress tool that basically like solves all the plugin problems and makes it so that they can vibe code the design of the website.
A
The reason you're doing Reddit, by the way, is because those are real people just complaining basically.
B
Exactly. That's exactly why it is. It's basically dialogue. And again, a lot like Reddit is being eroded right now by people manipulating it for like LLMs to rank on them. But this is by people like you, by people like me that are basically creating the dead Internet. Let's be real, it's already happening. I am the problem. But with this though, what it enables is you basically can identify like what are the problems that they're facing. And then from this, this crew basically seeds the creative that I want that I, that I go and make. Right? Right. So I found these pain points Right, let's like pull out, you know, one of these. That makes sense. So content workflows, customization requires development skills. Right. Like this is one that you could talk to. What I would then go do, it's like once I found this information, I'd be like rank stack based off of the most referenced just to give us like what are the top three. And then once I've identified that. So the plugin layer, most reference. This is the biggest pain point for people. Awesome. That is what ads are going to be about. Performance and speed.
A
Cool.
B
Can we make this super lightweight? Can we use something like Astro to actually like serve it? So the content's really fast? Security and maintenance. Okay, how do I make it so they never have to think about plugin security again so that their site doesn't randomly get gambling ads on it and then get de indexed by Google for their pest control business? Right. So with this, what I then go do is I'm going to use Kai is what we're using right now for all of our image generation, basically just all of the image models and video models in the same place. And so with this I can then go and bulk generate static creative. And the way that we found to do this is you basically give it an example of an ad that is already being ran by either a competitor or by somebody like, you know, somebody in a tangentially related industry. And we're just using Google Nano Banana for this. So the agent then again is generating this creative using the static. You can make this as advanced as you want. This is what we're doing a lot now so that it always hits brand style guides. And what do I mean by brand style guides? That's like what are the fonts that need to be used, what are the colors that need to be used? All of these specifics about the company, about the brand. Right. So with this you basically can put a vision model over the outputs and be like, hey, does this match brand style guides? So what I'm getting back from Google Nano Banana, I can be, I can basically qualify the like. Is, is the text all readable? You know, does the fonts that are being used actually on brand etc. And then from that you basically have this way to make statics. And then on the video side, what we are still using and still seeing great results, which is crazy to me because it's not even the best is Heygen, but we're starting to experience more and more with Seed Dance. And this is like where this is all going to go. It's just hard to do the stitching across, like seed dance, like for longer, you know, 30 second videos, you can only do up to. I believe it's nine seconds. Don't quote me on that. But it's less than that. So you basically have to like stitch these frames together is the challenge. But this is where this will end up going. And then it's just like AI avatar UGC that's talking about the pain points or outcomes that you just extracted from what people are saying online. And everything that I'm describing here, this is just an agent that's done this work, right? It is an agent that's done this research. It's an agent that is calling, doing the API calls to actually build out the creative and then from there, how do we actually get it into Facebook Ads, right? So to get it into Facebook Ads, then what we're going and doing is we need to use what's called the Facebook Marketing API. And you probably, if you're online at all and not living under a rock, you've probably seen tons of people where it's like, I got my Facebook Ads account banned, right? Because I was using an agent with it. The agent is not the reason it got banned, all right? The reason it got banned is because they violated TOS and they spam the API because they were trying to pull in like, you know, hundreds of millions of rows of data from their Facebook Ads account. And that is not the way that you can't use the API in that capacity. Like, it's literally like that. That's against Facebook, cos that is the problem. So how you actually use the Facebook Ads API is you use the API only for rights, like, only to publish content to the Facebook Ads account or to turn off or to basically like promote ads. And I'll talk about that more in a second. And this I'm realizing just based on time, this whole video just going to be like, how do you build like an actual, like marketing agent? Like, we're only going to probably get through one of these. If you want more content like this, this is all I talk about on the Internet. So just like go, follow me across channels and this is what I share. But anyway, with this though, to solve the data analytics problem, you have to build a data pipeline and a warehouse. So the open source way to do this is using a tool called Airbyte. You can host this, like, you know, anywhere. You can literally have cloud code go and do this for you, right? Set this up and then you can use a data warehouse called Clickhouse these are both open source solutions that you can self host and I'm just giving you those as the as like you know, the way that is totally accessible to anybody.
A
And Cody, can you explain like what is a data warehouse? Like what are these things?
B
Yeah, absolutely. So a data warehouse is a way to unify all of your data sources into a single location so that your agent has the ability to understand all of the data in context with all like all channels in context or all data sources in context with all the other data sources. So I'll give you specifics. That was a very like, you know, pretty broad way to explain it. So say for example, I'm running Facebook ads. How do I actually run effective Facebook ads? I need to do probably four things. I need to have my Facebook ads data, I need to have my Google Analytics data, I need to have probably my post hog data, maybe my, my CRM data. So like my HubSpot data and then I also need to probably have like my stripe data to understand the entire stack of like I ran ads and did customers come out the other side, Right. And then how do I actually tie the literal specific ad that is driving revenue for the company? Right. This is how you do that. It's by having this data warehouse that has all of the data in a single place. Now to get all of that data into a single place you have to build a data pipeline. And so Airbyte is a data pipeline solution. It's self hosted and it enables you basically they have all these pre built connectors that enable you to pipe all of your data into a data warehouse. So when you think about like, you know, visually how this is happening and we can just like TL draw this real quick to actually show you it. Basically what I am doing is I am giving my agents, so say I have you know, these like five different data sources that I'm pulling from. We'll just do three for the sake of time and I'm putting them all into a data warehouse. And that data warehouse, I'm then giving my agents access to it. So imagine I have this agent here that can read this information. It's back and forth, right? And this is the Facebook ads agent. And this Facebook ads agent, how it works is it basically is looking at that data stream and then it is making updates within Facebook ads, right? And then that Facebook ads data is going back to like where we're pulling from, which goes back and basically back into the data warehouse. Actually this is probably more like this like back into the data warehouse, right? And so this is how I'm creating this, like, loop that is basically learning, right? I'm giving the agent access to the live business data, access to the live stream. Also, what this enables for you as a business owner is you can also interact with this within your Claude code, within your Codex, whatever that is, right? And whatever your daily driver is. And the reason that you want this is you can have conversational analytics and also build like custom dashboards with this data, right? So you can literally ask like, okay, like, we're like, we're having trouble. Like, say you're again, pest control company. Or we'll say, I don't know, something like your commercial H Vac. Like, we're having trouble hitting payroll this month. Like, what is going wrong? It's like, oh, your accounts receivables are like, off. You can literally have those conversations with your marketing data, with your business data. This is the way that you can enable both yourself and your team to be able to do this. Right? So how do you actually. So how do you actually set this up? So we've got the data pipeline in the warehouse solution now for hosting the agents. Everybody's doing this already, like locally with, like their cloud code. And they like. I mean, I've seen these crazy setups where it's like, yeah, I'm deploying these solutions onto, you know, my Mac mini that I bought for openclaw. But now it's actually just like working as a server. Like, you don't have to use a Mac Mini locally as a server to do this, right? You can just deploy this into any cloud and be into Heroku, it can be into Railway, it can be into like any of these solutions. And again, I'm just giving options that are available. But basically an agent is just code under the hood, right? It's just a decision tree that's like, cool. Here's a live data stream. I have some like, decision loop that's happening where an LLM is thinking. And then I'm basically having it optimized for an outcome, which for most companies is like, how do I make the business more revenue, right? So anyway, that is kind of the infrastructure that's necessary to actually make these agents function. Once you've got this whole thing set up, what is possible just to give you like a scope of this, and we're doing this for companies right now is you can actually like create. So for example, like for one company, we're doing two different ad sets per day, five ads per ad set. They automatically get uploaded into Facebook ads Based off of all the research that we've done and also the data that exists within the data warehouse, like of what has worked. Right. And we are basically. So there's like a learning loop that's happening on top of this. The agent is looking at, okay, I published these 10 ads. It lets it run for like a two to three day window for like it's a get initial signal. It turns off the worst performing ads. And again, how is it getting that information? It's pulling that information from the data warehouse, right? It's pulling, okay, what is the worst performing ads? Let's turn those off. The winners live on and then the winning ad sets, they go into a winner's pool and they're competing against each other for the ad budget that's available. And then over the top of that you can have a vision model or honestly like how we're doing this more and more is we build a database of all the ads that we have created. And it's literally like the JSON prompts that we're sending to Nano Banana or the ad scripts that we're using and we're sending the hey gender seed dance. And that is what we are letting the agent analyze of like, okay, what is actually working so that it can, it can go and you know, basically become more effective at making creative that creates outcomes. So the problem that happens with this year and again I'm going to get into the weeds and talk through a lot of this in detail just to share the issues that come up is you have to solve for entropy. So what is entropy? It's basically the agent gets stuck thinking in the same way. So how do you solve for that? The two ways that we found that you can solve for it is you can use the Facebook ads library to pull ads from competitors libraries. And that basically puts new DNA into the system. So you're basically feeding that source text that you did that research on. And then the other thing that we found to work is taking YouTube transcripts and also podcast transcripts and basically pulling out the insights from those. There's like hundreds of YouTube channels that are just designated to like, you know, for example, WordPress. You can pull out the insights from those and then run ads basically off of, off of those insights that you aggregate. So this is a way to solve that, that, that, that, you know, kind of like entry problem. But what this ends up looking like in the, in the, you know, the final form is like, it's like a virtual employee. Greg is the best way to describe it. This virtual employee all it's doing is focusing on Facebook ads as the channel and how it can actually like operate and function is because it has all the necessary data it needs to think through what is actually driving like outcomes that, that we are like that. That drive business revenue.
A
Right.
B
And this is where all this is going. Like, I. It's so funny. I talk to like so many marketers on a weekly basis and they're all like, is my job secure? And I'm like, I don't know, like, can you do this? Like, this is what this turns into is like your job now becomes like, I'm an agent jockey. You're taking your domain knowledge that you have and you're basically like building this into code. And like, I'm not technical. Right. Like, I can set this up now. Like the models are smart enough now. We're like a semi technical person. Or just if you have access to Claude code and literally just give it the transcript that I just like, you know, we just created on this call and be like, okay, I want to set this up. Walk me through this process. Like you can go and build out this solution. Like that is the possibility here. So anyway. But yeah, happy to answer questions about that. That was one agent. I can go down into a deeper one as well. So.
A
Okay, yeah. And I think taking a step back, it's like, well, why are. I know it's crazy to say this, but why are Facebook ads important? Well, okay, if you're gonna steal an idea from this podcast or come and come up with an idea on your own, you're gonna vibe code, something that you think has value in the world. The biggest question I get is how do I actually get customers to this thing? And the truth is, Facebook is the most cost efficient way to do it if you don't want to go and create content, which takes time to actually build an audience. I still think that people should create content, but at the same time be thinking about, how can I create an ad set that is going to perform. Now the mistake that people make is they try a few ads, it doesn't work. So they give up and they don't realize that you actually should be taking the same ad and just like changing the positioning a little bit because. And changing it a little bit, like 10 times or 15 times or 20 times. Right. And what happens is like, I'm shocked sometimes with some of the Facebook ads that I do, and I'm like, wow, I didn't think that this ad set was actually gonna work. This positioning was gonna work, like for Example, you know, let's say we wanted to do that WordPress plugin idea, and let's say we wanted to compete with Yoast, the SEO plugin. Like, maybe the positioning is. Yoast is bad. And I, you know, it's just like an anti Yoast, you know, and. And you never would have thought that
B
you do work rather than doing work for you. Right?
A
Right.
B
There's a great. There's so many angles that you can pull out of that. To your point too, I just want to piggyback off of this. Like, I think a lot of people come into marketing and advertising and they're like, I know what the market wants. I'm going to impose this idea on the market. That is not how this works. Right. We're not Don Draper. We are, like, putting creative into the market. Like, why is. Why is paid ads the most? Like, why is Facebook ads, why is Google, why are they the most powerful assets? Like, why the most powerful marketing channels that have ever existed? I can go and test a thousand different ad creatives and like, I'm going to have clear delineation on, like, what is winning and what is being the most. What is the market most receptive to? Right. And you're going to know that within 48 hours. And I see this all the time where, like, oh, they're like, oh, I don't want to go run ads. I don't want to. Like, I only want to do organic. Right. Or like, how do you grow? It's only by word of mouth. I'm like, this is such a. That's such a rookie way to look at the market. Like, you should be doing all of it, number one. Number two, like, you need to think about how does this. Like, this is the only system where I put a dollar in and like, $5 can potentially come out the other side. And I can just keep feeding that ATM where it's like, I just keep putting money in and that same, you know, volume will, like, that same multiplier will come out the other end. So anyway, just.
A
And so what's changed, like, why I now I'm into Facebook ads, honestly, is because of the systems that you're describing. So, like in the past, if you were a founder and you wanted to do what you're talking about, you had to hire an agency that would cost you tens of thousands of dollars a month to go and run this at scale. Now you just need to set up the system that you talked about. And of course it needs to be fine tuned. Of course there needs to be it needs to work, right? Of course. You need to solve for entropy, which I'm happy you spoke about, because no one speaks about that. People are like, oh yeah, you set it up and then it's just good. It's good. Like, no, dude, that's the opposite. Yeah, have, have the people that say that have never set up anything, right? Because as soon as you, it might feel good like on day one, but on day two, it gets a little worse and they three and four and five, until you get this point where
B
you're like, lifestyle choice, man. I think that's the thing that people like have the hardest. Like when you think about marketing, like people think about it in campaigns. Like, I start a thing and then I stop a thing. And that is not how this works anymore. Like, how marketing actually functions now is like, you are continuously doing this. And because the feedback loops are so fast. Like, I mean, when you look, a great example of this is if you just look at like the fashion industry, like how quick the trends occur now. It's like 10x faster than what it was 20 years ago, right? Than what it was in like the early 2000s. And so when you think about that and apply that to everything, like how quick the market moves, you have to basically have like, you know, some type of observability of what's happening so that you are adjusting your, you know, ads, your positioning, your. All of the strategy that you have across your. Your go to market based off of those trends that are, that are basically like evolving. And where does all this happening?
A
Right?
B
It's all on short form social. Like that is where all this kind of originates from and then trickles down and everything else. So you can actually do this, right? There's another way to solve this entropy problem. You can use tools like Viralo. They have an API, basically is like it scrapes like all of TikTok and I think they're doing Instagram reels now. Don't quote me on that. But basically I can be like, hey, show me all of the most viral, like posts that are in the beauty category from the last week.
A
Cool.
B
What are there, Are there trends that are happening here? Are there like certain content formats that are happening here? And can I use that in information to basically influence the creative output that I'm doing 100%. You can do that. This is again, like how you can. It's this push and pull with the market that you're doing constantly, right? And like agents for the first time can enable you to do that. Like what I just If I wanted to go and create 100 ads, right, and get that into Facebook ads, like that is probably like two weeks of work, right? Historically. And now you as a founder, like literally in the next hour and a half, you can have this whole system that I just described set up and be able to actually go and publish this content, like at scale with the understanding of what's actually working. And maybe there's a human in the loop to begin with, but like, what this gets to is like you're going to understand, like this is what's actually functioning.
A
Cool.
B
I now want an agent to go and run this. I deploy an agent into the cloud with the necessary data stream that it needs so that it can actually make these the same decisions.
A
So Cody, what else did you want to cover?
B
Dude, I have so much. I have to jump in two minutes though. So like it's. I'm kind of bummed.
A
So folks, comment, if you want more
B
marketing, I'll come back and just do a whole series on this. Like here is literal, like agent by agent, like descriptions, like showing the actual, like structures, talking through the actual campaign structures if that is what people want. Like, this is again, all I'm thinking about right now. This is all I do from when I wake up to when I go to bed at the moment because I'm obsessed with it. That is uncomfortable how, like it's a compulsion and this is not really a choice. So anyways, yeah, Greg, didn't mean to cut you off.
A
No, no, no, Let us know. I think, like, it, you know, people, like I said, people want to figure out ways how they can use AI agents to get them customers. So I think marrying like here's a couple ideas with. Here's some, here's some agents is going to be helpful for folks.
B
Let me rattle off some and then you comment what you want and we'll come back and we'll do this right. So I can, we can do Google Ads agents that are entirely running your Google Ads accounts. We can do influencer outreach, agents that are researching influencers within your category, cold emailing them and then negotiating the pricing with them and hand raising for when you know they think it's a good, good person. We can do cold email of like, how do I go and find all of the customers, you know, that I'm trying to sell to find their email addresses. Like cold email them and then have an agent managing that inbox, like responding to them to book me meetings. We can do TikTok real farms where we're basically like making 10 TikTok accounts in the cloud and then at scale, making slideshows that are related to your product, scheduling those, and posting and aggregating all the views across that we can do. What are some of the other things we can do? SEO agents that are doing keyword research, researching the article, writing the article, having the article be on brand for your voice. Like, how do you actually give it a unique perspective or point of view so that it has that, like, you know, basically personality to it so that it actually ranks well and it's like, good to read. We can talk about AI search and how do you build citations. How do you actually do cold outreach to get your brand listed on the citations that are already being shown in the category that you're in. We can talk about social media management and like, how do you get an agent to run your LinkedIn account, to run Twitter accounts? We can talk about how do you get agents to build email newsletters that are related to podcasts and actually research the podcast, write the podcast script, use 11 Labs voices to read the podcast script, and then build lead magnets to build an email list on the top of that podcast for an industry like E commerce. So you comment what you want to learn. I'll come back, I'll share all the things that we're seeing and all the things that we're deploying. I'd love to do that. I think it'd be awesome.
A
God bless you, Cody Schneider. I appreciate you. We'll see you next time. And yeah, I'm curious to hear what people think.
B
Yeah, if people have questions, let me know too. I'm active on Twitter and LinkedIn. Those are the biggest players places then companies, graph. Com. All this work that I just talked about, that's where we're doing this. So thanks for having me.
A
G later.
Podcast Episode Summary: The Startup Ideas Podcast
Episode: How I Use Claude Code + MCPs to Run My Marketing
Host: Greg Isenberg
Guest: Cody Schneider
Date: July 27, 2026
In this energetic and idea-packed episode, Greg Isenberg is joined by marketing automation expert Cody Schneider to explore how real, AI-powered marketing agents can autonomously drive customer acquisition for startups. The two dig deep into what marketing agents truly are, debunk misconceptions, and walk listeners through the tech stack, workflows, and practical business opportunities enabled by agents built using tools like Claude Code and modular cloud pipelines (MCPs).
The core focus: How founders can set up autonomous marketing infrastructure to test and scale customer acquisition while Cody gives concrete startup ideas—especially around the overlooked but massive WordPress ecosystem—and demystifies how founders can "vibe code" their way to real revenue.
"[A marketing agent] has to solve the data problem to like, give the agent unified data clarity of the whole pipeline. And then you have to be able to have the agent autonomously making decisions... with a thinking loop in it." — Cody (03:04)
"There's a bigger opportunity here than just the lovable for WordPress... It's, basically, how do you find plugins that have validated demand that don't have an AI component, and building the AI-first version of each." — Greg (06:10)
"You just basically have to make ad creative that is talking to pain points or outcomes of the person you’re trying to sell to..." (10:22)
"An agent is just code under the hood... it's a decision tree that's like, cool. Here's a live data stream. I have some decision loop that's happening where an LLM is thinking. And then I'm...optimizing for an outcome, which for most companies is... how do I make the business more revenue." — Cody (21:10)
"Why are Facebook ads important? ... The biggest question I get is how do I actually get customers to this thing? And the truth is, Facebook is the most cost efficient way to do it..." — Greg (28:04)
"You have to solve for entropy... The two ways that we found that you can solve for it is use the Facebook ads library to pull ads from competitors' libraries... or taking YouTube transcripts and also podcast transcripts and basically pulling out insights." — Cody (24:19)
Cody teases further marketing automations listeners might want to hear about next:
Chatty, insightful, jargon-y but accessible; both hosts exude excitement and candor, interspersed with memorable turns-of-phrase (“may the MRR gods be with us,” “agent jockey,” “vibe code”).
If you want to grow a startup in 2026, you should:
For more deep dives, listeners are urged to vote on future agent topics and connect with Cody online.