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The Responsible Way to Use AI in B2B Content (Without Creating Slop)

Tech Qualified · 2026-07-17 · 37 min

0:00--:--

Key moments - from our scoring

Substance score

62 / 100

Five dimensions, 20 points each

Insight Density12 / 20
Originality10 / 20
Guest Caliber14 / 20
Specificity & Evidence13 / 20
Conversational Craft13 / 20

This episode explores the tension between AI-assisted content creation and authentic, original thought leadership in B2B marketing. Jonathan Bland, co-founder of Omnilab, and Justin Brown dig into how brands like Ahrefs successfully leverage AI without sacrificing quality, emphasizing that the real problem isn't AI itself but the lack of human oversight, proprietary insights, and personal perspective in much published content. They discuss the difference between programmatic blog content (where AI can play a larger role) and founder/SME-created content (which demands personal voice and lived experience). Both argue that the current "slop" on LinkedIn and elsewhere stems not from using AI, but from using it lazily - without source material, without data backing up claims, and without a clear process. The conversation covers practical approaches like using AI for repurposing existing content (podcasts, calls, videos) versus generating new content from scratch, and why staying close to your own writing - even when using AI tools - remains critical for credibility, public speaking, and building real authority in your space.

Key takeaways

  • →The problem with AI-generated content isn't the technology itself but the lack of human review, proprietary data, and clear process - brands like Ahrefs use AI extensively while maintaining quality through structured workflows and SME input.
  • →Original source material (founder stories, lived experience, personal POV, proprietary research) must come first; AI then enhances and repurposes it, rather than generating content from scratch with generic prompts.
  • →Repurposing existing content (recorded calls, podcasts, videos) through AI is a responsible use case with minimal downside, whereas generating blog posts without source material or human perspective creates the majority of content slop.
  • →Staying close to your own writing - even when using AI assistance - is essential for public credibility, because you'll eventually have to show up on calls, podcasts, and live events and actually know what you're talking about.
  • →Different content types require different levels of human involvement: programmatic SEO content allows more AI autonomy, while founder/SME/personal brand content demands the creator stay in the seat and maintain their authentic voice.

Guests

Jonathan Bland

Topics in this episode

RB2BLinkedIn content strategyScrappy ABMAhrefsSmart LeadHeyreachOmnilabSixth Sense (platform)Gong Super Bowl campaignFactors (de-anonymization)

Questions this episode answers

What's the difference between responsible and irresponsible AI use in B2B content?

Responsible use combines AI with human oversight, proprietary data, SME insights, and original source material (like founder stories or product research), while irresponsible use is lazy AI generation without perspective, data backing, or review - often just simple prompts like 'write me a blog post on demand gen vs lead gen.'

Should CEOs and founders write their own content, or can they use AI?

They don't have to write from scratch, but they need to stay close to the content and contribute original thinking; much of their best material already exists in recorded calls and conversations that can be transcribed, reviewed, and repurposed with AI assistance rather than having AI generate new content from nothing.

Is it okay to use AI to repurpose content across multiple platforms?

Yes - repurposing existing long-form content (podcasts, videos, live events) through AI is considered a 100% responsible use case, since the original source material and perspective already exist; you're just repackaging it for different formats and audiences.

Why do brands like Ahrefs succeed with AI while most content feels like slop?

Ahrefs has unlocked the process and workflow behind AI - they use first-person voice, include real examples and product screenshots, provide data backing claims, and employ a structured prompt chain; most organizations just hit 'generate' without any process or data store behind it.

Can you use AI for email and Slack communication?

Using AI for quick truncation or cleanup of your own thinking is acceptable, but generating entire email responses using AI is irresponsible because it removes authentic human communication and can make the recipient feel like they're not actually talking to you.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

12 / 20

The episode explores AI content strategy with some substantive takes (original source material matters, human perspective is irreplaceable, repurposing beats creation from scratch), but much of the conversation is circular and repetitive. The Tristan M&A case study adds concrete value, but long stretches lack novel frameworks or data. Ahrefs is cited repeatedly as proof but not deeply analyzed.

You gotta have the source material, you gotta have the pov. It's got to come from something real or researched.
if you don't have some type of human in the loop towards the end of that process to really make sure that not just that it sounds like you... but I do think that there's some insights that sometimes need to be layered into it

Originality

10 / 20

The core thesis - AI amplifies but doesn't replace human expertise - is widely established in current discourse. The repurposing strategy (record → transcribe → AI-enhance → distribute) is Gary Vee's model, transparently acknowledged. Few counterintuitive claims emerge; both speakers largely affirm each other's conventional wisdom about 'responsible AI use.'

original research and creating original source content is always going to be an element that creates good quality content
You gotta use AI clearly because otherwise you're just gonna fall behind. But you can't get too lazy with it too.

Guest Caliber

14 / 20

Jonathan Bland is a co-founder operating in paid media and AI content - solid practitioner credentials. Justin Brown runs a B2B marketing agency with hands-on client work. Both have skin in the game, though neither is exceptionally high-profile. Bland's insights come from client observation rather than deep original research; this is adequate but not exceptional for a B2B audience.

I spend his days helping companies optimize paid media performance, but he's also spending a lot of time thinking about AI content
we have clients all the time... I have clients in freight tech. I have clients in bio waste technology... we digest every piece of content that the company has ever created

Specificity & Evidence

13 / 20

The episode offers some concrete examples: the Tristan M&A post (50 responses), Gong's Super Bowl regional ad spend play, NYC billboards ($500 - $1,500/day), Ahrefs blog. However, specific metrics are sparse - no data on engagement lift, conversion impact, or content ROI. The M&A example lacks hard numbers on deal results. Claims about LLM efficacy and LinkedIn quality remain largely anecdotal.

He had a content calendar that's probably booked out through middle of July. A uh, post on LinkedIn every single day... he puts out a post asking if people out there know any AEO geo firms that would be for sale. And the thing got 50 responses
billboards cost lots of money. They actually don't. There are some really cool vendors that cost 500 to, uh, $1,500, where you can literally take a ad

Conversational Craft

13 / 20

Justin asks reasonable open-ended questions (e.g., 'where do you see the difference between using AI responsibly and simply letting AI do the work?') but rarely pushes back hard. When Bland says he's 'somewhat anti AI' while endorsing AI, Justin notes the contradiction but doesn't probe deeper. The flow is collegial and meandering rather than tightly interrogative; follow-ups are warm but lack sharp challenge.

I'm curious, from your perspective, what are you seeing right now?
I'm curious your take on it. Do you think that the future of content is using AI to create more content or in kind of what you're saying, do you see it using uh, AI after you create good source material?

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Share of words spoken

  • Speaker A51%
  • Speaker B48%
  • Speaker C1%

Most-used words

content83blog17perspective16create16back15point13linkedin13marketing12writing12write12clients12scrappy11post11source11real10reading10

Episode notes

In this episode of Tech Qualified, host Justin Brown sits down with Jonathan Bland, Co-Founder of Omni Lab Consulting, to unpack one of the most pressing conversations in B2B marketing right now: how to use AI responsibly in content creation without contributing to the wave of slop flooding LinkedIn and the broader web. The two agency owners open with a candid take on "scrappy marketing" - including a pointed conversation about why expensive ABM platforms like 6sense are losing favor with heads of marketing who never needed that level of tech in the first place. From there, the conversation pivots to the heart of the episode: the difference between responsible and irresponsible AI use in content. Jonathan and Justin agree that AI itself isn't the problem - the problem is lazy prompting, missing point of view, and content created without source material or proprietary insight. They explore how brands like Ahrefs and Influ2 are getting it right by leading with original research, first-person perspective, and real product snapshots, while many B2B teams are publishing volume for volume's sake.

Full transcript

37 min

Transcribed and scored by The B2B Podcast Index.

Speaker A: You can't get too lazy with it too. And unfortunately, AI uh has made us all increasingly lazy, just like my GPS has. I don't even know where I'm at. If my GPS doesn't tell me, man, I'm lost.

Speaker B: Hello, and welcome to another episode of Tech Qualified. My name is Justin Brown, and this episode is brought to you by New North. New north helps small, scrappy B2B tech marketing teams build real marketing functions through strategy and execution across content, paid AVM and reporting. Today I'm joined by Jonathan Bland, the co founder of Omnilab. Jonathan spends his days helping companies optimize paid media performance, but he's also spending a lot of time thinking about AI content and where marketing is heading, just like we all are. Jonathan, welcome to the show.

Speaker A: Thanks, my friend.

Speaker B: All right, I'm going to start this interview like I start every interview. What does scrappy marketing mean to you?

Speaker A: I think ultimately it has a lot of definitions, but for me, it means getting hacky using tools that are cheap and inexpensive that ultimately allow you to get the same job done. It reminds me of what's been happening over the last year and a half, and I hate to call out a really big avian platform, but Sixth Sense, unfortunately, has been on the way down for a lot of heads of marketing that we've been talking to, and mostly because it's a lot of tech that they didn't ever really need for the price point that they're paying for. And so I think scrappy means finding other ways to get the same type of result versus the traditional methods. And so there's all sorts of ways to do that. For example, there was, of course, Gong's famous example with the super bowl where everyone thought they spent 3, 4, 5 million dollars on an ad. When that really wasn't the case, they actually did a regional specific advertisement and saved a ton of money. That's a way of getting scrappy but still having a really big outcome. And the cool exposure that you get from a Super bowl ad, there's also things you can do with billboards. In New York City, lots of times people think billboards cost lots of money. They actually don't. There are some really cool vendors that cost 500 to, uh, $1,500, where you can literally take a ad or an animated ad and you could run it for a day for that amount of money. And then what you can do is you can get again to use the word scrappy, to take pictures of it, repurpose it organically, get further distribution, and Reach on it, put thought leader ads behind it, all sorts of things. And so I think sometimes like the big expensive plays or the big expensive ABM products or just products out there feel cool. And they're of course very powerful, some of them, but oftentimes they're really not needed. And many times we haven't even actually got the actual process stuff right before we layer it on tech. So that's I guess a little bit about some of the examples that come to mind, uh, of being scrappy but still achieving a bigger outcome or effect.

Speaker B: Yeah. And this isn't what this episode is about, but it is interesting that you bring up Sixth Sense. For years. I, uh, you know, our typical client retainer or budget that they're putting towards marketing, which is in many cases their entire marketing spend or it is they have one person or two people in house and they're doing a couple of things, maybe unpaid. And the amount of people over the years who I've talked to and that's their infrastructure and, and they're like, yeah, we're looking at 6 cents. And I'm like, you're going to put more money into your tech than you're going to put into actually getting. And uh, that's before any work is even getting done. And we actually, when we started to revamp the way that we do ABM like four to five years ago in a way that is very scrappy, where we would actually piece together the abm, the these tools like Smart Lead or hey Reach and then have them communicate with each other and use de anonymization tools like factors or RB2B. We call it scrappy ABM. So we're actually selling against 6 cents with what we. It's not revolutionary, um, to call it scrappy abm, but that's what we were calling it when we. I would be on sales calls and talking to people. Um, you do scrappy way or you could use basically an enterprise way and you don't even have any infrastructure. So. Oh yeah, where the people who come to us and they're like, we bought six cents, what do we do with it? So it is very interesting that you bring that one up because I have seen it firsthand, I've seen a lot on LinkedIn people talking about it right now. Which brings me to today's actual conversation, which is that there's a lot of discourse right now around AI content and I can talk a lot about how we leverage AI within content. But I'm curious, from your perspective, what are you seeing right now?

Speaker A: I think there's definitely your AI spies or the hunters out there that are out there to criticize any content that uses a phrase that's commonly used, or make fun of or criticize content that's been done with a. I think it's less an issue that it was generated with AI and more the quality of the writing and what's being delivered in it. Because at the end of the day to not use AI at this point and frankly before that there was other technologies, there was Google, there was all sorts of ways to do things before LLMs. And so this isn't like something that's really that new people have been leveraging technology to write, build and design content for forever, ever since tech has been around in the digital age at least. And so for me, I guess I have less of an issue with leveraging it. I think the problem I have is I think that if you don't have some type of human in the loop towards the end of that process to really make sure that not just that it sounds like you, because there's a lot of things you can do with data stores and creating a brain to make that happen, but I do think that there's some insights that sometimes need to be layered into it if not injected into the prompt itself that express your pov, that have proprietary insights from your product, that partner with SMEs, all of those things that make the content more original research vs just hey, write me a blog post on demandgen vs lead gen so that I can publish it on my blog. And you see a lot of that content that doesn't really express any pov, doesn't have any data to back it up, it doesn't have snapshots backing up either graphs or anything that's being talked about. And I'm personally just a huge fan of I think a great content, I think of brands like Ahrefs I think does just an absolutely killer job with their blog. It's extremely practical. They always provide examples. In almost every case they not just provide examples text based, but actual snapshots lots of times playing into their product too. And they're also huge advocates of AI and they use a lot of AI in their process. And they uh, of course have done this not just in the simple way that I think a lot of people are using AI right now, which is just simple prompting, but really creating a true data store and a true process based upon what's already worked for them before. And so I forget the guy's name, I don't know why I'm blanking on it. Maybe you know him, but their head of content over there is just blank. I can literally see his face right now. But he, he's had a great process for creating great content for a long while. And so I think that the hidden, uh, unlock for AI and the reason why there's so much slop is that some people haven't really unlocked what that process flow, format, et cetera, actually looks like. And so it's just. Just produce me something and produce more of it. And that's what's creating just a lot of nonsense out there. But if you have the right process and you've done it before, you have the experience to guide AI in the right way, then it can be an incredibly powerful tool. So I say all that to say, yeah, big fan of leveraging it where it needs to be leveraged. I do think, though, when you're writing as a founder, an SME or someone at a company, there is something to staying close to the writing and actually writing and just keeping up the skill of writing. So there's kind of like different styles of content. There's like programmatic blog content. There's just corporate content from your company. There's you as a creator, you as Justin, you as Tristan, you as whoever. And I think that type of content really does need you to kind of really sit in the seat a bit more, especially commenting dming, like asking questions and stuff and stuff like that. You got to be there for the content. For me, part of it's like learning right from others, and I can't do that just by outsourcing all of my thought process to an AI. I want to be there. I want to ask the right questions. I want to think about it myself. I want to ponder a little bit. And some of that just has to happen by you getting into the trenches and doing it. So I'll stop there. But a few thoughts.

Speaker B: Yeah, for sure. I mean, I think there's a lot of places. It's just interesting that you brought up the, um, keeping yourself fresh with writing. Uh, this has nothing to do with content, but this is actually just communication. I'm a huge AI content advocate, and we'll get into that in today's call and the ways that I think that it leads into my next question, actually, which is being responsible using AI versus not. But I think one of the most irresponsible things that I see is when people communicate, whether it's via email or it's via, uh, Slack messages, and they answer your questions and it's an A. Thank you so much for asking that question. It was a very thoughtful question that you just asked. And I'm like, okay, so I'm not talking to you, I'm not talking to Jonathan. I'm not talking. So, like, when I write emails as an example, I really try to only use AI to. Maybe I don't. Maybe I'll spew too much in an email. And I'm like, hey, can you help me truncate this down a little bit? But when I get an email from someone and it's all written via AI, or I ask somebody whether it's on my team or one of our clients or whomever, and I'm like, it's just a quick question. And I get back an AI generated response. I'm like, man, some of the, some of just the ability to communicate and staying sharp with the way that you talk to people does feel a little bit lost sometimes. And we started this conversation talking about LinkedIn. I think LinkedIn is one of the biggest slop factories on earth, and I think it's actually really harming the perception, uh, of AI content because you go on to LinkedIn and you just see so much what I would consider irresponsible AI use that I'm like, this is an actual unique perspective. This is just something to be out there. Or somebody saw someone else write something and they just wrote some. A piggyback post off of it that probably took a picture two seconds to write. So that's my next question to you is where do you see the difference between using AI responsibly and then just simply letting AI do the work?

Speaker A: Yeah, you made me think of something earlier that I was thinking about too related to outsourcing content and writing to AI, which is so often. Most of us, at least in B2B, need to show up to a call or a podcast or a live event, or talk to a customer, prospective client, and actually know what the hell we're talking about. And so I think it would be one thing if you could just kind of live in the shadows and produce content and never have to engage with the world. And maybe you could get away with that for a while. But I think the other reason why it's so important to stay so close to the content is that you ultimately have to show up and likely do calls and conversations and podcasts and live events and you name it. And so it helps to stay really close to the content, understand what you're writing and or what is being drafted for you so that you can really speak to some of those things because otherwise you're just going to end up in a situation where it's very hard to communicate on what's good and what's bad. And so much of this too is staying close to it, whether it be LinkedIn and LinkedIn.

Speaker B: To your point.

Speaker A: Yeah, LinkedIn's really just gone downhill, unfortunately, which is. Which is a bummer. Hopefully it can come back. But yeah, the slop is just terrible. To your point. It really just is.

Speaker B: Yeah, it gives like a negative connotation, I think, to it, where that's what people see the most of. And then it's just, oh, uh, we don't want that. And from my perspective, when it comes to responsible versus irresponsible, I have like, almost like layers to it. So you mentioned creating a repository or a brain. So we do that for our clients and I still, uh. So basically we digest every piece of content that the company has ever created and we have clients all the time. They're like, I have clients in freight tech. I have clients in bio waste technology for eliminating bio waste in a greenway from hospitals. They're like, can you, uh, do you have someone on staff who's an expert writing on that? I'm like, absolutely not. I promise you. I do not have someone who has worked in the freight industry for 15 years that can write you an article on how to fix freight that breaks before it lands and then when it lands at Costco, getting sent back to the original factory. I do not have that on staff. And I still don't even think that even with the repository that the articles that we would be creating would be that good. They could be in. We have a lot. We have seven sequence prompt that's checking itself and what have you. And we've digested all of your, your content, we know who your competitors are, et cetera in these niche technology spaces. You look at this conversation that we're having right now, I'm going to turn this into a blog post. And you could have a blog post where I go in and just say, I want this to be a blog post about content, AI content, and type in a million different things and it'll produce something. It's not going to be my perspective and then my perspective talking with another agency owner where we have significant perspective. We live in this stuff all day. I'm not saying necessarily that my perspective is the right one or that yours is the right one, but we have perspective which helps to build authority, where we are actually putting human element of perspective. So when I'm talking to these clients, we want them on camera talking, uh, even if it's just an internal call talking about their space, because they're going to have the perspective on their space. And that's where you can turn that content into a variety of things, not only including putting out blog material, but also putting out multimedia content that is driving the ability to be found within the large language models of are you appearing on YouTube? Are you appearing and having perspective on LinkedIn or X or whatever it may be, where you're putting your out, you're using as an outlet, because that stuff is going to drive whether or not your organization gets referred. I just got off of a call where I was talking about one of our clients and they were mentioned by. They put out an episode for a show that they do through us, and they had a handful of people who put onto LinkedIn that they consumed that episode. They get 100 to 150 downloads, which is what streams the streams, but they're still called downloads in podcasting. Like 100 to 150 downloads an episode. They're not trying to have some entertainment show that's getting 10,000, 20,000 listens an episode, but they're getting referenced by people in their space because they're showing up and they're doing the hard work. And that stuff can't be replaced by AI. Uh, you could do it like you said, you could do it for a while. You can put stuff out there, you can have your blog get populated. But to add that real human perspective on the industry that you work and live within every day, it still requires people. I, and I think people don't. It's like an all or nothing. It's like either an organization is unwilling. We don't do any AI content here, or it's just make content work for me. And I think there's somewhere in the middle that is reality, which is that you can use con, you can use AI to make it more velocity, to be able to do more, to have it take less work, but you can't replace it. And conversely, I also don't think that the legacy way of doing things when I'm talking to somebody and that I'm, I say the same thing. I'm like, okay, so let's say you're in some sort of scientific tech, which we've had a handful of clients in that I'm like, what are you going to do? You're going to go Pay a scientist 3, $4,000 to write you a blog post is probably going to take them six weeks because they're worried that any word they put on paper is going to be reflective of the research that they've done over the course of their career. Same thing with CEOs, and we've seen that a million times, right, where you want your CEO to contribute to content, they say they want to contribute to content, and then it takes them months to get you one article.

Speaker A: So I think you made a good point there. The funny thing about that is they're already probably creating an immense amount of content already off of all of these recorded transcript calls, right? Think about all the calls that are recorded and many of the conversations they're having. Now, maybe not all are completely just open air to put out in the public, but there's lots of little excerpts and things that they're saying. Their pov, their take, the things that are happening, the things they tell their organization internally and externally, they can all be repurposed. And so as soon as you start to think about that, then there's just a huge amount of content that's seriously being created. We, to date have never gotten really, really good at doing that. But I know Gary Vee obviously is one of the OGs in this, right? Clearly. And, uh, he's not the only one that can do it clearly. There's lots of stuff that's being recorded all the time. He just happens to record even more and has a huge team behind him to actually repurpose a lot of the stuff that he says in 13 different ways across 13 different platforms. And so the CEOs do have the time. They're already kind of doing the work, they already have the stories. It's just more about grabbing the recordings, grabbing the transcripts, or having some camera that literally sits there on all day while they talk and then have a team behind them to go download the thing and use a little bit of AI to start evolving that. Because at that point for me, AI and the repurposing front, I don't mind, I guess, using it a little bit on the front end, but I definitely don't have any issue with AI. And the repurposing front, that almost seems like it's a 100% AI type of move, aside from maybe getting the right snapshots and pictures and just kind of doing a final review of some things just to make sure that the output is ultimately, ultimately good. But if you're taking original content back to your point from either a long form YouTube or a long form podcast, it's cut the content's Already there. So you're just finding ways to repackage that content in different ways. And so for me, like all day long, go for it, do those things as anyone should. And frankly all these tools and you guys of course are doing it really well, need to be investing in this a lot. It's always been the number one thing, right? We're always thinking about the next piece of content when we really already have tons of content. We just haven't repurposed it and distributed well. So it's stuff.

Speaker B: Yeah. And I have a question on here. I'm curious your take on it. Do you think that the future of content is using AI to create more content or in kind of what you're saying, do you see it using uh, AI after you create good source material?

Speaker A: I think you need good source material. You can inject the source material and AI to get better content. And I think there's kind of two worlds just to say it like one, like I've been a content creator and a writer for a while now and so I think I extract some meaning from that doing the content creation. And so sometimes I have a. I'm kind of like in this world of cognitive dissonance where at one level I'm pro AI and the other I'm not. As for AI, because I extract some meaning from doing it myself, but I don't know. Back to your question. Yeah, Original research and creating original source content is always going to be an element that creates good quality content on the back end. And so whether you inject the original research into Claude or ChatGPT or a prompt chain of all sorts of things that you're going to do, you still need good content of the front end. You can have the brain behind it. But again for. Or at least the types of things I'm saying, people want personal stories of lived experiences. They want Justin's opinion more often than just the company's opinion. They want to know what Justin thinks. And that's why I think having personalities, influencers, SMEs of the company is really important to have someone that has a voice there because they really want to hear what that person has to say. Even ah, refs, they speak, they write a lot in the first person so they use a lot of I and there's people like names and pictures and the use of I and it just feels, I don't know, it feels like I'm uh, reading something that they actually wrote versus just a blog that has been written either by AI or even by a human that just Sounds like they're kind of speaking into the void a bit. And again, like you can get AI to. That's an easy thing, right? Cool. Use the pronoun I. So these things are so easy, right? But back to your point, yes, you need the source content, the front end, and you can definitely get AI to get you pretty down close to the road. I still think, at least right now, it's really important to still review and read every single line that gets published. I do think that's important. I also think it's important to have the right visuals. And that sometimes requires an SME to put them together. That could be snapshots of your product, a specific report, a specific moment, a billboard you saw, a headline you saw in an article. I still feel like those things are important elements that. That create more credibility and interest around the piece, certainly for me, versus just like walls of text that AI is really good at. And so again, Ahrefs is just always my example that I go to. I think they're probably one of the best in the industry, in my opinion, with some of the content they put out. So those are my thoughts. I'd love to hear yours, though.

Speaker B: Yeah, for sure. I think it goes into what started this conversation. So for the audience. Jonathan and I were having a conversation as agency owners talking about what we're seeing. And I think it stemmed from you saying that you're somewhat anti AI while we were having an entire conversation about how to create content using AI. And it's what really spearheaded me wanting to bring you on here is that we feel very similarly about it. And I can even go back to that upfront example I used in email when I know that I'm talking to a person, or you know that you're reading an article on AHREFS blog and was this created by a person or was this created to have a blog that populates for search terms that are keywords for your business that you're trying to hit. And I think that the LLMs are seeing through that. I think that people see through that instantly. And I think that you can still create content using AI. If I go back to pretty much anything that I write these days, if it's a bit longer form, I'm thinking about different planning documents that I write. And I was just writing up what we want to do as our content strategy as an organization and how that's going to drive overarching marketing initiatives that we have for Net new leads and opportunities as an organization to try to grow. And I want people to Read this plan that I'm writing. And so what I did is I spent a half an hour talking into ChatGPT and then having ChatGPT create this. I actually took it from ChatGPT and then put it into Claude and create this plan. But I read through the plan and then I sent the plan to my business partner, to our head of client operations who's gonna help me stand these things up. And I could stand behind it. I'm like, I know they're reading it and they're. And the feedback I get, I'm asking somebody to read a five page business document. If that thing. If I went into Claude and had two sentences and had to create a business plan that's five to seven pages long and I asked someone to read that, I think they're gonna be pissed reading it. Honestly, they're gonna be like, thanks, man. Thanks for the homework. You spent five minutes on this. Instead, I used these tools to create something that otherwise would have taken me significantly longer, but it captured everything that I was trying to do. I was able to put how much these things are going to cost and how it makes sense and what we're trying to generate. And then it has my perspective on the way that we're going to do it in the approach that we're going to take and what content we're going to create. And all of that created into a document that I was actually very proud of that years ago I would have been. Would have taken me half a day to create that document. And so I think that there is tremendous value in using AI to enhance the work products that you're creating. But I think that there is tremendous downside. Again, use it three times. But going back to that email thing is like the instant, I don't know, tick ticked off ignis where I spend five minutes reading something and I'm like, I've talked to you before. This is not how you speak. Why are you using the robots to talk to me? We are people. Can we not communicate? And that's probably why Ahrefs blog stands out to you. And you're like, I actually enjoy reading this because I feel like I'm getting perspective from an industry leading, not only an industry leading organization, but from the people within that organization who live and breathe this stuff all day. And I actually feel like I took something away from this rather than it just being more slop. That's out.

Speaker C: Uh, yeah.

Speaker A: Again, like real stories, like Inflame 2 is another company I think about. I was actually gonna do a video the other day of these guys and I think I haven't read a lot of their content, but there's one blog that just came out and stood out to me and I uh, need to create a video on it, post it on LinkedIn, but just to give them like a real kudos for it because again, it just comes back to the same thing that we're talking about related to content. Again, like the source material is kind of everything, right? And so I think that's where the slop is coming from. When there's no like opinion pov, proprietary data visuals to kind of back up and go with what you're saying, then I think it starts to fall in that slop category where. And it's easy too because like I could create a thousand blogs on paid media literally right now and it would take maybe a second to churn out, but by the end of the day I would have a thousand blogs. Yeah. Uh, but my belief though is that like I don't, I don't think it's a volume game that we're really trying to play, maybe at some level, but I think at the end of the day, like assuming that humans are still going to be reading content, at least in the short term. And of course now we have bots that are reading content now with LLMs that are just reading content, summarizing it for humans. So there's obviously a good portion of that and that's been going on for a while. But when we're talking about influencing B2B buyers that are trying to make decisions, that are trying to trust someone, I still think that the content is really gotta be built for human readership. And I think there's definitely some folks out there that I've been talking to that are seeing both sides of that coin. But at least for me, I don't know, it just feels better, I suppose as a content creator and someone I guess, who derives a little bit of meaning from this to make good content that to your point, you can stand behind and then two, that someone actually that's a human wants to read. Again, it goes back to the blog article. Like you could write a demand gen vs lead gen article in 2 seconds and give like a 2 sentence POV on the 2 and have a blog done because demand gen has volume around it and so does lead gen. And you want to play that game in terms of just appearing in either LLMs or from an SEO perspective. But I think the real value though is going beyond that. And what's, what was your experience in switching from those two models, what did you actually do? What did your campaign structure look like? And show me a picture of that. How much did you spend and how did you allocate budget? Like getting into the weeds of like actually what happened? And again, like you can give the AI or LLM the source data to get to that output, but you gotta have the source original data to create good content. So again, I think it's just, I think we're saying the same thing. You gotta use AI clearly because otherwise you're just gonna fall behind. But you can't get too lazy with it too. And unfortunately, AI has made us all increasingly lazy. Just like my GPS has. I don't even know where I'm at. If my GPS doesn't tell me, man, I'm lost.

Speaker B: I feel so bad for the generation before us, like our fathers and father in laws. My father in law was like, uh, what? He drove up and down the eastern seaboard for the entirety of his career, knows every road to anywhere. And he's always, I'm going somewhere, he's telling me, oh, you're gonna turn left here. And I'm like, I appreciate it man. I'm just gonna rely on the lazy side of it. I, I wanted to bring uh, one example. It's a very selfish example, but it's something that I've gotten to work that I've gotten to see firsthand, which I don't get to see a lot of these days because majority of our clients come to us and they've been. Our clients are typically not like high fast growth SaaS companies. They're like profitable businesses that have been around for five to 10 years. They've done more marketing a certain type of way. It's done this or that. They've tried channels and some channels have worked and some haven't. And we're kind of like rebuilding what they've done. But they have historical data, they have historical experience. What I've gotten to see over the last six months is that my business partner Tristan decided that at the beginning of the year we were going to start to really do this M and A push where he has stopped working so heavily in the business, business every day. And he is out there speaking to agency owners about their business and are they interested in selling that business, merging with us, etc. It's been very fascinating to watch because he went from literally zero content. He had done no content ever on this type of work. We had done three acquisitions in the past, but we did that all. There's no content. We were putting out. We were using brokers and firms and just go out there. We had a lead gen firm that was basically bringing us agencies that were for sale, but we weren't doing anything proactively in the world to do that. And at the beginning of the year he decided he was going to start posting content on LinkedIn about this. And it is a very small space. There's not like a ton of people doing acquisitions of agencies from one to $10 million a year. And I got to watch some. And he uses AI in all of his content. He has a content calendar that's probably booked out through middle of July. A uh, post on LinkedIn every single day. He's got a newsletter, a podcast and his content is getting derived from um, the real world experiences that he has. And I watched one, he put out a post at one point, he'd never done this before for he's probably like a month and a half, two months into this and he puts out a post asking if people out there know any AEO geo firms that would be for sale. And the thing got 50 responses because people are like, this is real, this is different. There's actually someone who's doing something interesting writing about his experiences. He talks about the deals that he's in and what's going on. And hey, if you want a million dollars cash at close for your business, but that business does $2 million a year, any buyer of that business, well, they want to put their million dollars into a four million dollar business and then you can use that content to send over to them and be like, hey, like I wrote a piece on what we were talking about. I wanted to put my thoughts down on paper. And it's just been fun to see the new newsletter. Ads, not ads ads, but like adds like the subscription, the people who are subscribing to his newsletter. We have a Slack channel set up and I'm watching new people subscribing to the newsletter and I got to watch this all happen from zero. And it's all, all I'm um, using finger quotes for the listeners. Like it's all AI content, but it's AI content that's derived from someone who's doing the work, who is out there having these conversations and who's leveraging these conversations, whether it's via podcast or just actual conversations with people he's talking to. And I've watched one of the most interesting, I won't say impressive because I've seen a lot of different things. We have a podcast that went like nuclear when it came out, because it's about longevity. It's not ours, but one of our clients. So I wouldn't say it's the most impressive, but it has been the most intriguing because I have gotten to watch it from zero to where it is now, where, like, people reach out to him every day to have conversations about where their agency is headed and what it's doing and what's he seeing. And you just don't get that if one day he just decided, I'm just going to be this M and A guy and I'm just going to write about M and A, and I'm not really having these, these conversations. And it's not derived from personal experience. And I think the thing that intrigues people about what it is that we're doing on that side is because we have someone who's out there. And that's what I just run into a lot with our clients is like they want to be able to turn on the content button and then watch organic leads roll in. And they're not willing to put the time, energy and effort into actually having a perspective, a, uh, unique point of view. And I think that if he wasn't doing those things and he just decided he was going to put content out there for the sake of content using AI, I just don't think that we would have the same sort of experience that we've had over six months. So it's been very interesting to watch. Kind of a zero to where it is now. And it all comes from real life experiences, like you're saying. I just don't think you can make that stuff up.

Speaker A: No, uh, I think that's the best part about it. Yeah. Again, I think you said it. The source material. That's what it all comes back to. You got to have the source material, you got to have the pov. It's got to come from something real or researched. And ultimately that's the stuff that people want to read. And I guess whether. I don't know if anyone really cares, everyone, I think, is hypervigilant on identifying what's AI and what's not right now. I think clearly that's just going to go away. I assume everything probably had the hand of AI at some level at this point, whether it were one word or the whole thing. I guess what I'm more curious about is what was the learning? What was the story? How can it help me? Because we're all thinking about ourselves predominantly when we're reading content. This is interesting. How do I relate this to My situation to my business, how can I personally benefit and be a better person in whatever communication marketing business, you name it. And so I'm not sure I really care. Again, there's some people out there that love to kind of pick on just phrasing and things like that. I don't know. Uh, for me, it doesn't really make or break as long as ultimately it's someone speaking from true experience. And of course there's going to be bad actors out there that are just truly just making stuff up. But you got to read between the noise and ask the right follow questions. And that's why it's not just about posting the content. It's about being active in the communities, like physically and digitally active in the communities, talking with people in DMS and comments on their posts, all sorts of other things. And so I think that's where it does take some work into your point. It's not just about pushing the content button and then waiting for leads to come in. It's literally getting out there and talking with people and pulling people aside IDMs and getting on calls or getting a podcast, like we're doing right now. So, yeah, I don't think there's any cheat code, unfortunately, to it. You can definitely work more efficiently and create content more efficiently. No doubt. And if you're not a great writer, LLM m shit your best friend right now. Yep. Because now you can be a great writer. Uh, you can train it on the best writers in the world. You can inject your tone and POV on top of the greatest writers in the world. And also with your original source data. Although it is interesting to say one last thing and I'll stop, is that it's so funny when you think about. I don't know. And again, you can train an AI model to make more mistakes and grammatical errors and stuff like that, but it almost feels like the unpolished content and the stuff that's less grammatically perfect seems to do better versus the really perfectly polished structured piece. And so again, maybe something to add in the prompt to a degree, or just simply like edit.

Speaker B: Forget this apostrophe.

Speaker A: Yeah. Or anything. Little things. Yeah. I don't know. Adding the word like help and putting a bunch of P's at the end. Right. Little things like that just kind of create the feeling of, okay, cool. It's not just this perfectly crafted piece. It's another reason why video content a lot of times does well when it isn't so overproduced. It's not to say there's not a place for high production video. There is but there's also a great place for just under produced video that seems more authentic and real. Literally. I just got my cell phone right here. Snap a quick video done down the road, post the thing, move on with life. So love it.

Speaker B: All right Jonathan, we're up on time. Could you tell the audience where they

Speaker A: can find you and find Omnilab Easy Place is LinkedIn. Jonathan Bland look me up and then our website is omnilabconsulting.com so you can find us there. We do the all things demand gen paid media for SaaS brands so awesome.

Speaker B: Well Jonathan, appreciate the time today and audience we'll see you next time.

Speaker A: Thanks Ben.

Speaker C: Thanks for checking out tech qualified. This show is brought to you by New North, a uh, marketing agency that helps turn your small scrappy marketing team into a growth engine. To find out more about New north or check out more episodes of this show, go to newnorth.com techqualified.

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