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I'm going to show you how to create the AI skill that solves the biggest problem for content creators, and that is the ability to get content ideas mapped to the platform that you are trying to grow your audience. And I'm going to show you how to do it in three easy steps. Let's get into today's episode. Okay, so I see a lot of people sharing their AI content systems online and they're all kind of good. But I'm here to throw down the gauntlet that I think I have the best, best AI content system, better than all of these folks. Now, the thing I'm going to show you is like one skill which is getting content ideas. So I want to show you this one because it's one of my favorite and I think it's the number one thing that most people can build that will really help them create content. Because one of the hard things to do is continually coming up with great ideas. It is a good starting point to create content that your audience will love. And I think I figured out a good way to do this, actually a great way to do this that is working really well for me and I want to share it with all of you. Now, the first thing you'll notice about my system is that my content team is available in Claude and it's also available in ChatGPT. And so it has context. It keeps the context between both. I can operate this in Claude or I can operate in ChatGPT. So I don't have to be wondering, should I create content in one or the other? And both of them have access to all of the things that I'm going to show you because of the way I built it. So the thing that I'm going to show you is the ideas and then I'm going to show you why they're so good and the things that you can build to do the the same thing yourself. So we go down here and we say, hey, we want great content ideas. And so it will go through and it will start to do a couple of things. It will look at my audience profile that I'm going to show you. And that is like number one audience profile. You want to make sure you have a really rich audience profile that is not an ideal customer profile. It helps you to craft content that people react to. Number two, it will look at my winning platform patterns. And so it's going to look at my audience that I'm going to show you. Then it's going to look at, hey, I see you are just asking for content Ideas. So I'll check all your profiles. If I said, hey, create content ideas for LinkedIn or Substack, YouTube, TikTok, it will only look at the winning patterns from that specific platform. What are winning patterns? I'm going to show you. And so look how good these ideas are. So these proven ideas are mapped to things that work really well for me on LinkedIn and Substack. And because you would say, well, just because these things have worked in the past does not mean they will work in the future. And is it not just regurgitating the same thing? No, because you'll see it's trying to map to patterns, not specific topics. And I'll show you that. But there's a couple in here that immediately I see will work really well for my audience. Now, the big thing is you are the domain expert. You are the content creator. You have great taste. You, you have great judgment. The wrong workflow, and I see people doing this is, hey, please give me some ideas about how marketers should use AI. Here's some ideas about how marketers should use AI. Great. Can you create the LinkedIn post on this idea? Sure. Here's a LinkedIn post. Vomit text put live sucks. What do I mean by that? This one here, right? This is a good idea. Because this idea I can immediately see, would work well for my audience. This is basically saying AI doesn't fix your operating system. AI can't fix a fuzzy ideal customer profile or untrusted data. It helps you produce confusion faster. Okay, Because I'm the content creator, I know my audience. I've created content for long enough that I know that AI without systems is chaos, or AI without operating a system is chaos. There's a great quote around this from Atomic Habits. James Clear basically said that something without systems is chaos. And I think about that as AI. And so I already can see how I could craft something great for my audience about this. And obviously I would do the extra step, which is the deep dive research. This one here would work really well. I saw this one here. But basically the marketing org renovation. So marketing dealers are redesigning org charts instead of reimagining the work. This is very true. There's a great story, and I've told this before, about the electric motor coming to the factory floor. When the electric motor first came to the factory floor, the factories just like integrated it into the current system and they saw no productivity upside. It was called a productivity paradox. And it wasn't until they redesigned the floor around the electric motor that they saw a real upside So I already have something in my head that could work really well here. I would still go on and do the deep dive outline. This is really good. I've talked about this for two years. Everyone is fixated on AI being integrated into marketing, sales your go to market and how disruptive that will be. Well, actually I think the most disruptive thing is going to be AI agents doing the buy in. Right? How do you market sell to agents? And that to me is interesting. That's always been an incredibly interesting take and so that I can see me creating a piece of content on this now. Skills tend to never work a hundred percent of the way you think it will work and that is specifically true. When I built something that is AI assistant agnostic, which means mine works in Claude chatgpt. I could add it to anywhere and it will work the same way because of how I built it. But you can see it's doing something odd here and that it should be showing me what platform it's recommended. So it has recommended this one for substack, right? I think this is a good map for substack because it's loaded all of my patterns and I would ask it, hey, you haven't done that for the others and we would refine it, right? Always be refining your skills and plugins now trend and upside. This is so cool, right? This is basically looking at my audience and saying over the last 30 days when I check Reddit, when I check X, when I check the web, when I check all the sources that I've given it through these MCP servers, here's the things that people are talking about. This one here from Levi, which is the CEO of Box. I think you can see it's pulled in. This is a viral thread, 1960 likes. This is very similar to what I talked about that AI without systems is chaos. And so that's a pretty good indicator that that post work really well. It's in the proven pattern, it's in the trend and upside. That's kind of what we want. There's a one here. Here it is from Claire Vo. This is a really good one, right? Your leader's lack of AI hard skills is the bottleneck. I saw a job posted this week where someone, a marketing leader was hiring your kind of VP of AI strategy. The person who owns AI in marketing and the AI strategy is the marketing leader. You don't outsource that part of your job and they think that would make a great post. And look, I've got validation and I can ask it to actually Do a deep dive. It has a clear vote thread that has gone viral. Now again, there's always continual improvement. And so one of the interesting things here is it should have told me the platform, it should have done this for each of the posts. It didn't. I suspect the reason it didn't is some of these are coming from the web, some of these are coming from Reddit and some of them are coming from like places where it can gather that data from. But tiny little incremental improvements, if you love that episode and you want all of the resources, you can click the link in the description or scan the QR code to get them all delivered to your inbox. So why are these so well mapped to what I want to do? Well, the content profile is a big part of that. This is not an ideal customer profile. This is how you build tasteful content and tasteful assets for the audience. Right. It's a very different type of thing and it's being updated continually. I update it every month. I wear refine it every month based upon all of the performance data that I'm gathering. And you can see here, I can log results and that login results updates the context, which is the. In this case, I'm going to show you the audience profile and the winning patterns and it actually updates all these skills to make them run better. So you can see here, this is my audience profile. So this is what it checks. This is wrong. It should be April 2026. So that's interesting, the audience identity, so who they are. These are kind of like more standard stuffs, how they see themselves, their sophistication level. And again, I do not use my system to create finished pieces of content. I do not copy and paste from AI. Now I want to say something really quick on that. I see all these things about like remove your AI slop and I think that's great. Like I get it. There is a huge backlash at the moment from people using AI to craft things. And if it's really obvious that you crafted that thing with AI that now I just always prefer creating the content. And AI has given me all of the building blocks to create great content. And research is one of those building blocks. But I have a problem with people calling a lot of what AI does and writing slop. It's annoying. It's not slop. These things are great writing patterns that we used to be able to use EM dashes. It's not this, it's that that actually is a good writing patterns. It builds tension. Makes a bold point. And so they're just like writing patterns that now are available to everyone with a click of a button or a little prompt that gets integrated into everyone's writing. And so they're saturated. They're saturated. Doesn't mean they're slop. Slop means they suck. They're bad, they're like below average. And they're not. The content AI creates is above average. It's just easy to spot it because everyone is doing it right? It's like everyone is doing the thing. And so you're like, well, that's AI because like it's the same as everyone else's. And so I. That's what, that's why I prefer using my system to get the building blocks really crisp. And then I craft all of the content and use my skill, judgment and taste to do that. Little point on, just my little point here on site. Point on slop.
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When a buyer asks AI for a solution like yours, do you know if
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you're showing up or not?
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A
jobs to be done. What are they trying to do? Their pain points. I think that's really important. This is kind of like the slop thing, right? Like, I don't care about slop here because I'm not trying to have the AI craft a finished piece of content. It actually creates drafts and has all of the kind of building blocks for me to create incredible content. These are kind of more based on content, right? This is why it's not an icp. What are the emotional triggers? Validation hooks. Like how can you actually really grab that person's attention? Content triggers anti triggers. Like what really triggers some interest? Situational frame. And so trusted voices, who do they listen to? Right? They listen to Lenny, they listen to Exit 5 Shout out to Dave. They listen to behind the CMO. They listen to Marketing against the Green. Thank you. Thank you. They listen to cxl, they listen to practitioners, you know, peers at similar stage companies, first person accounts. They love that name companies and we. So you see the, the richness, the detail. Okay, so like, hey, I'VE looked at your audience. I get it. This is who your audience is. Well, I actually want to see what works for you, right. Because I want to figure out what ideas fit into the patterns that work for your platforms. Here's LinkedIn, the winning content profile on LinkedIn. This is 160 posts from a single year. It's all of the post content, all of the post performance data. Very rich data set. Do the same for substack. We'll do the same for YouTube and YouTube, not just the performance data, all of the transcripts. Right. Real job, real effort to make this stuff good. And so you can see here it actually has a ranked by engagement gets updated every single month. So it does not go stale. It has like news drop in your take. Right. Like so again it's the pattern. Something happened and what's my take on it? I would say I would probably this one is actually coming down over the last couple of months in value. So this stack rank is going to change. This works really well for me. I am on the ground. I am building stuff. My happy space is actually building stuff. Shipping things, practical things, things that work. Not just AI created slop. I use the word slop there properly, right? Not just that's the proper way to use it numbered how to But I would say that there's like some nuance in there. Here's how to the outcomes once right. Number steps. This is a simplification of content I talked about. I overcomplicate content. This is the simplification content. The reason number lists work is people want like just tell me the five things. Shut up. I don't need all of this context. Tell me the five things. The identity reckoning this works pretty well. I do have like here's how marketing teams will change. Here's a role the CMO would change. Here's how this will change. I have a lot of takes in that I think about those things all the time. This is my Fun1 on LinkedIn. I love to do just funny posts have not done a lot lately and would never have AI find. I don't know maybe I will ask it to find some funny it never like really does a good job of finding the funny ideas. I don't know if there's much comedy and business AI maybe I I want to bring more to it and then I love doing contrarian takes. Why I think people are wrong about things like the you know the one that I'm probably going to create a piece of content on is that the marketing leader cannot outsource AI strategy to another role. Don't hire for AI strategy. You are the AI strategist. And so there it checks. All of this has like anti patterns. It has the confidence notes. Confident notes is basically why it think this profile is pretty confident. And then you can see. So what do I do? I have a queue, right? I already have a queue. I have to constantly clean it up. You can see there's way too many things on here. So I will always clean it up. It does this thing where it categorizes them. This is my own categorization. AI is so personal to how you do things. Spicy take data nugget. Educational like means it has a really shareable piece of data. Spicy means like it's a counter intuitive. Take educational means there's a singular lesson, but I can call it my content queue. So anytime I'm creating content I'm like, hey, show me my queue. Cool. Don't want that one, don't kill that one, kill that one, kill that one, kill that one. And then let's find out what's been happening. I can tell it over. I can say research the last seven days. I can say research the last 28 days. Whatever I want to say. I'll go through these ideas here that we've gone through and they're killer. And I think I'm going to add three to my content queue, right? So I'll add three new ones to my content queue. And that's why I don't run out of ideas and I'm constantly jotting down things like I'm constantly putting things into the queue and then kind of playing around with those ideas. And so this is content ideation. I could do the same thing on ChatGPT and you get different flavors because ChatGPT, I've noticed, is actually better at content at the moment for some reason. So I can run the same process here. Works here, works here, has the access to the exact same context, has my audience profile, has all of the winning patterns, profiles, anything I actually create here on the content queue because of the way again I've created it, it will be available here. So they're totally in sync. Doesn't matter which one I work on. That's how you never run out of content ideas. Map to your audience, map to the platform and don't just recurgitate crap ideas that everyone else is doing. I hope this was an interesting lesson for you. I will be dropping more skills from that content system. It's a lot to do in a single video. So I think these kind of miniature videos with singular skills is the best way to do it. You want more from the content system? Drop it in the comments.
C
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D
This data is wrong every freaking time.
A
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Whoa. I can see the client's whole history. Calls, support tickets, emails, and here's a task from three days ago I totally
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missed HubSpot Grow Better.
Episode: Use AI to never run out of winning content ideas
Date: July 30, 2026
Hosts: Kipp Bodnar (HubSpot CMO), Kieran Flanagan (HubSpot SVP of Marketing)
In this episode, Kipp Bodnar reveals his personal AI-powered content ideation system designed to ensure creators never run out of high-performing content ideas tailored to their chosen platforms (LinkedIn, Substack, YouTube, TikTok). The episode dives into how to structure AI prompts and workflows for content creation, why traditional "ideal customer profiles" aren't enough, the importance of updating audience profiles and winning platform patterns, and why human expertise remains key in turning AI-generated ideas into impactful content.
Three Core Components:
Rich Audience Profile (02:12):
Winning Platform Patterns (03:05):
Platform Mapping (04:00):
“You want to make sure you have a really rich audience profile that is not an ideal customer profile. It helps you to craft content that people react to.” (02:15, Kipp)
Kipp emphasizes that the AI is not about copy-pasting its output but using it as “building blocks.”
He criticizes workflows that just string together AI output verbatim, calling that “vomit text put live” (03:58).
“AI has given me all of the building blocks to create great content... I prefer using my system to get the building blocks really crisp. And then I craft all of the content and use my skill, judgment, and taste to do that.” (08:05, Kipp)
Proven ideas aren’t just about repeating what worked, but about analyzing pattern types that drive engagement.
Example: "AI doesn't fix your operating system" becomes a post on why AI without systems is chaos, tying in with broader trends and viral threads (such as from James Clear’s Atomic Habits).
Another pattern: “Marketing org renovation” (e.g., redesigning for new tech like the electric motor analogy).
“It’s trying to map to patterns, not specific topics.” (04:14, Kipp)
Kipp describes a continual refinement process:
Queue system: Always adding, culling, and categorizing ideas (spicy take, data nugget, educational, etc.).
“Tiny little incremental improvements... Always be refining your skills and plugins.” (06:42, Kipp)
Kipp pushes back against the “AI slop” criticism, arguing that much of what’s called slop are simply writing patterns now used widely because AI makes them ubiquitous.
The issue isn’t the writing quality (which is often above average), but the lack of originality due to overuse.
“It’s not slop. These things are great writing patterns... Slop means they suck. They’re bad, they’re like below average. And they’re not. The content AI creates is above average. It’s just easy to spot it because everyone is doing it.” (08:41, Kipp)
System works identically in Claude and ChatGPT; ideas, context, audience data, and queues are in sync across platforms.
Winning patterns and audience data are based on the individual, not generic market research.
“AI is so personal to how you do things.” (14:03, Kipp)
On Content Creation Process:
“The wrong workflow, and I see people doing this, is, ‘Hey, please give me some ideas...’ Vomit text put live sucks.” (03:58, Kipp)
On AI Not Solving Fundamental Problems:
“AI can't fix a fuzzy ideal customer profile or untrusted data. It helps you produce confusion faster.” (04:25, Kipp)
On Marketing Orgs and Disruption:
“Everyone is fixated on AI ... But actually, I think the most disruptive thing is going to be AI agents doing the buying. How do you market, sell to agents?” (06:03, Kipp)
On The Importance of Judgment:
“You are the domain expert. You are the content creator. You have great taste. You, you have great judgment.” (03:42, Kipp)
| Topic | Key Insight | Timestamp | |----------------------------------|-----------------------------------------------------------------------------|------------| | AI for Content Ideation | System leverages updated audience profiles & platform patterns | 02:12-04:00| | Pattern vs. Topic | Focus on patterns driving engagement, not stale topics | 04:14 | | Human Judgment | AI provides the raw material, but creator expertise is irreplaceable | 03:42-08:05| | AI “Slop” Myth | Writing quality is high, but ubiquity breeds sameness | 08:23-09:32| | Continuous Improvement | Regular updates and result logging keep ideas fresh and effective | 06:42-13:30|
The episode showcases a hands-on, systems-driven approach to generating “never-ending” content ideas with AI while highlighting the importance of judgment, regular refinement, and deep audience understanding. Kipp’s method moves beyond generic tools—fusing human expertise and evolving data to stay ahead in content marketing.
For more skills and resources from Kipp’s content system, listeners are invited to engage in the comments and download resources from provided links or QR codes.