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Google’s Mass Content Deletion: Is Your AI-Generated Content at Risk?

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Ditch the AI Amnesia: Why Context Is the Real Multiplier for Small Businesses

There’s a hidden cost to that “quick AI fix” — and it’s not just your $20/month subscription. It’s the time you waste re-explaining your business, rebuilding knowledge, and wondering why ChatGPT or Gemini “forgets” half your hard-won insight every time you start fresh. Most small businesses and agencies find themselves in a Groundhog Day loop: type a prompt, get an answer, try to direct AI’s attention to prior work, realize you’re copy-pasting your background for the tenth time, and then… give up until tomorrow.

Sound familiar? There’s a reason: Most tools default to “blank slate” mode. Your business isn’t a blank slate. You have processes, a personality, and customer knowledge worth preserving. What you actually need isn’t a faster chatbot — it’s a second brain that keeps your context alive, portable, and working for you (not the other way around).

The Strategic Shift: Why Context is a Non-Negotiable (and What Happens When You Ignore It)

The true marker between Level 2 (“throw tools at a problem”) and Level 3 (“integrate AI with the business that actually exists”) isn’t how fancy your tools are. It’s whether you’re leveraging business context — the stuff that makes your outputs sound like you, not just another AI consultant on LinkedIn.

At this stage, the bar moves from “using AI” to “using AI on your terms.” When context stays in your head (or scattered across team members’ inboxes), velocity stays low. You rewrite boilerplate. You lose the thread from project to project. You waste cycles reviewing content that should’ve sounded like your brand out of the gate.

Systems that remember who you are, who your customers are, what’s already been said, and why it mattered — this is the hinge from tactical speed to strategic leverage. It’s also the difference between safe, defensible content and the AI “slop” getting wiped out across Google, Reddit, Amazon, and every other platform that’s now punishing non-specific, context-free work (01:00).

What Is a “Second Brain?” (And Why Your Current System is Not It)

The Second Brain, Plain and Simple

A Second Brain is a persistent, portable, and structured record of your business’s knowledge, experience, and best work. It’s not a technical stack, a complicated software suite, or some mystical productivity movement (though those exist). Think of it as a living business memory that serves three jobs:

  1. Preserves your voice and tone: So AI outputs sound like you, not generic “internet person.”
  2. Tracks what’s happened so far: So you’re not reinventing (or losing) valuable context with every new project, campaign, or prompt.
  3. Gives AI a fighting chance at adding value: Instead of generic templates, the AI is building atop your actual experience, workflows, and customer histories (08:49).

Put more simply: if you ever wish AI would “just pick up where we left off,” the Second Brain is the missing piece.

Memory vs. Context: Why Both Matter

Most AI remembers nothing between sessions by default. At best, some platforms retain a session log, but they don’t truly understand or leverage the recurring knowledge that makes your business unique. Context is what elevates “did you mean this?” to “I know, based on our project history and your preferred voice, this is what we should do next.”

Chris Hunter summed it up: “How do we get rid of those tells?” (06:24). The answer isn’t chasing another new AI. It’s feeding existing AI with relevant, persistent context — so the output isn’t “slop,” but feels like an extension of your (or your team’s) best work.

Building Your Second Brain Without Technical Overwhelm

What Goes In

  • Master Prompt: Your business’s “about me” page — who you serve, how you talk, what matters, recurring challenges, and what makes you different.
  • Skill Library: Defined, stepwise instructions for routine business tasks, like onboarding a client, handling a specific objection, or writing a top-performing service page (06:24, 07:26).
  • Work Folio / Decision Log: After each key project or prompt session, record what AI did (well or poorly), what context helped, and what’s next. Reference past project posts and case studies to flesh out this history for future prompts (11:39, 12:08).
  • Voice & Tone Notes: Upload transcripts, flagship blog posts, or emails that “sound like you.” Have AI analyze them for style, preferred structure, and common phrases (06:15, 07:26).
  • Client / Project History: Abstracted case studies, pain points, or testimonial excerpts, anonymized as needed.

Where to Store It

Don’t overcomplicate this — the system is more important than the tool.

  • Google Docs or Notion: Easy to update, easy to share, portable across AI platforms.
  • Dedicated “Second Brain” apps: If you’re already using something like Notion, Coda, Obsidian, or even a running Google Sheet, that’s fine.
  • Plain folders with structured docs: Even five clearly labeled Word docs in a “Second Brain” folder beats 100 scattershot emails.

How Often to Update

  • Quarterly at minimum (refresh your Master Prompt, update key workflows).
  • Every major project (log the outcome, update relevant case studies or skills).
  • After meaningful customer feedback (copy/paste great testimonials or sales emails directly into the system).

When to Use It

Any time you:

  • Start a new AI project/session
  • Test a platform change
  • Onboard a new team member
  • Review AI outputs for quality or “voice”
  • Demand less rework, more leverage

How a Second Brain Fights “AI Slop” and the Platform Game

When John Clendenning described the “mass extinction event for low-quality AI content” (01:27), he wasn’t being dramatic. The platforms — Google, Reddit, Amazon — aren’t looking for “more content.” They’re nuking anything that isn’t clearly tied to real businesses, real customers, and real expertise.

A Second Brain isn’t just nice to have — it’s your moat against:

  • Algorithmic penalties: The stuff that gets flagged for being generic, without a narrative, or full of “tells” (stock phrases, generic formatting, overwrought em dashes, and “conclusion/key takeaways” style endings) (06:37, 16:22).
  • Client disengagement: Your audience can spot copy-and-paste jobs a mile away. A well-fed Second Brain allows even AI-written content to reference projects, customer journeys, and insights only you could know (12:17).
  • Wasted effort: Every time you brief an AI with “start here, read this, ignore that,” you’re redoing work that should be persistent.

You want specificity over volume (27:42). The Second Brain makes it easier for AI to deliver depth, interesting details, and “stories only you could tell” without endless prompt engineering.

The Biggest Pitfalls: Where Second Brains Don’t Work (Yet)

Let’s knock out the hype before it bites you.

  • Not a magic wand for bad inputs: If you haven’t already reflected on what makes your business unique or haven’t documented real client results, an AI Second Brain won’t invent authenticity. As Laura Sutherly put it: if what you’re publishing “could be said about any business in your area, it is what we consider slop, not authentic to you” (09:07).
  • Not technical sophistication: You don’t need code, API integrations, or paid platform lock-in. Start with the docs, not the stack.
  • Still needs curation: The “human in the loop” is not optional. If content is being published straight from AI, even using your Second Brain, you’re asking for trouble (16:17, 25:38).
  • Not a shortcut for zero effort: If you’re looking for a push-button solution because you dislike documenting, updating, or reviewing your business knowledge, pause until you’re ready to invest a little more discipline.
  • Risk of overcomplication: If your system needs a day’s orientation just to find last quarter’s notes, it’s too complex. Simplify.

Who this isn’t for:

  • Owners who want “set it and forget it” AI outputs they never review
  • Businesses without a point of view, clear target market, or memorable client interactions
  • Anyone hoping to never organize knowledge, and have AI fix it by magic

🟦 AIME Verdict: Build Your Second Brain Now, Not Next Week

Verdict: NOW. Building your AI Second Brain is the single highest-leverage move for both business owners and agencies at Level 3. Waiting until “tools get more advanced” is a trap — platforms will always change, but your business context is evergreen. Even a basic system (Google Docs + voice samples + running project log) grants tactical speed and strategic resilience.

If you’ve already built foundational AI use cases (prompts, writing assistants, simple automations), your next unlock is context. Don’t chase another shiny tool without it. Save your in-depth automations and agent systems for Level 4, once your Second Brain is in place and pulling its weight.

Do This Today: 30-Minute Second Brain Kickstart

  1. Create a “Second Brain” folder in Google Drive, Dropbox, or wherever you keep business docs.
  2. Draft your Master Prompt: In plain English, jot down:
    • Who you are
    • Who you serve
    • Top 3 customer pain points
    • Your brand’s personality (use a real client email or review as a sample)
    • 1–2 favorite case studies/outcomes
  3. Copy-paste your last two best-performing blog posts/emails/testimonials into a simple doc in that folder.
  4. Title each file clearly: “Master Prompt — [Your Business Name],” “Case Studies,” “Voice Samples.”
  5. **When next using AI, paste your Master Prompt and a relevant case study into the platform before requesting output. Compare the result to your last generic attempt. Notice the improvement? That’s context at work.

What’s Next: Systemizing for Repeatable Results

You’ve started giving your AI memory and context — the next move is systematic integration. At Level 4 (Systemize), you’ll build repeatable workflows, SOPs for feeding your Second Brain into every new campaign, and smarter connection points with your team and your AI tools.

Frequently Asked Questions

Conclusion

Transcript

Brad Killgore [00:00:00]:
I think it boils down to have AI drafts to start with and then human proofreading. Start there, especially on the agency side. If we’re producing content for our clients, you know, make it as authentic as we can, but then have them take a look at it because we may think that the AI pulled in some really cool facts and ideas and different things. And our client might go, oh my gosh, no, don’t publish that. You know?

Jennifer Crego [00:00:25]:
Yeah.

Brad Killgore [00:00:25]:
So yeah, I mean, it’s just a matter of human in the loop as we’ve talked about for a long time.

John Clendenning [00:01:00]:
Well, get this. Google just deleted over 240 million reviews in the last year. Amazon deleted 275 million. Reddit has built its own AI specifically to hunt down and remove AI-generated marketing garbage. We’re going to call slop from this point forward. on its platform. This isn’t small cleanups. This is a mass extinction event for low-quality AI content, and it’s happening right now.

John Clendenning [00:01:34]:
The question we’re answering today is simple: if the platforms are deleting this AI slop by the millions, how do you know if your content is on the list? So with that said, John here from Carpet Cleaner Marketing Masters. Got my fine, distinguished friends. The entire team is in the house and we are going to tackle the AI slop problem. I just want to kind of put it out there. Who wants to jump in? Anybody had a client or a prospect you’ve talked to say that, hey, no, I don’t need content. I have ChatGPT writing me 10 articles a day. I’m good. Or anything like that hit your radar in the last 6 months? What do you think of AI slop?

Chris Hunter [00:02:15]:
Nobody jump in.

Laura Sutherly [00:02:16]:
I think we have so much to say. We don’t know who wants to go first.

Jennifer Crego [00:02:22]:
There’s a lot to say about this topic. There’s a lot of slop out there. I find it really interesting that Reddit, which we all know— so we all know. Let me back up for one second and say, for those listening or watching, if you don’t know Reddit, it is— it’s basically think the old school forums where people talk back and forth. They ask questions. They have threads that are themes and things like that. So, Reddit has been fantastic for a lot of years. But they say marketers ruin everything.

Jennifer Crego [00:03:04]:
But you didn’t hear that from me. Marketers have used Reddit to— what do you say? Marketers have like added their kind of—

Brad Killgore [00:03:17]:
Bandwagon.

Jennifer Crego [00:03:18]:
You know, everything we do, the stuff to get links and, and, you know, things like that. Because Reddit is valuable because it’s actual people talking. A lot of people have been— or, um, people, businesses— what has been happening there is that people are using AI to like write slop.

John Clendenning [00:03:39]:
Mm-hmm.

Jennifer Crego [00:03:41]:
And get it published in Reddit. Reddit forums, which are supposed to be so valuable. And so Reddit, though, fed up with it, is building its own AI to combat AI. That’s— sorry, that was a long intro to that one little point that I was trying to make. But I think it’s worth really like, what do they say, double-clicking on that?

John Clendenning [00:04:08]:
Yeah, no, I think that’s cool. Where we’re heading is that it’s a mess like Twitter, X, It’s like, if you’re on X, you’ve got to start unfollowing accounts because they’re— or themes and stuff like that. Because it’s like, oh, hey, this— I just saw this video and here’s my entire guide on it. Like, and it— because you can spin them up in seconds. And it’s, it’s, it’s the— you’ll see 10 of the exact same video. Boris Cheney or Attorney, whatever his name is, did a speech and all of a sudden there’s 10 people, you know, put the word this in the comments, say this, do that, and I will send you my full this and whatever. And it’s just—

Jennifer Crego [00:04:42]:
Yeah.

John Clendenning [00:04:42]:
Like just vomited there. And yeah, they’re right now you have to manually do it. AI is going to be like any of these platforms are going to go, oh, oh, they’re pissing you off. Here, click this and delete all of them or remove all of them. May 8th, Google did a big update for SEO, Chris, as we know. And they basically said any content that is meaningless in our world, you got 20, 50, 100, 300, 500, 10,000 upholstery cleaning pages that all seem pretty much exactly the same across all companies, only difference being the name of the city in it. Um, Google said, like, in the AI search, we’re not going to surface all of those because it’s all meaningless. So we’ll, we’ll pick real stuff and the rest of you don’t even show up.

John Clendenning [00:05:30]:
So what have you noticed, Chris, in slop and, uh— The response to slop?

Chris Hunter [00:05:38]:
Well, I mean, that’s a loaded question, right? I mean, there are lots of avenues that slop can happen. Obviously, we’re talking Reddit, then we’re talking SEO, you know, landing pages, where content itself in general that is, in my opinion, generic, right? And adds zero value to the world. I think is what’s gonna be targeted and what has been targeted. So, and there’s tells, right? There’s tells. If you just take something straight from ChatGPT, and we, we talk about this all the time, you know, just making sure that, that you have your master prompt in and, and so forth. But, you know, one of the things that I’ve been working on for the past, what, month, 2 months is these agents to create, help create content, right? But the problem becomes, well, How do we get rid of those tells? And so I built an AI tell skill that it essentially goes in and strips out all that junk, right? The things like, the biggest one to me is the em dashes, right? That stand out. Everyone used to love those until AI came along. Now they’re like, that’s an easy tell that that was created by ChatGPT or something like that, right? So I think if you have that, and then, and then the other thing that I created was a way to take my voice, right, for at least on my blogs, right, when it’s, when I’m going through and generating content for my blogs, make sure that it actually comes out in my voice.

Chris Hunter [00:07:09]:
Okay. And how did I do that? Well, I fed it information on how I wrote, like, for instance, my book and gave it all of that information and it had it basically transcribe it and figure out, okay, well, his writing style is X, Y, and Z, right? And then I added a few other things to it. Like, I don’t say I do not, right, versus I don’t, or I won’t is not I will not, right? It’s I speak the way that I speak and the way that I write is, is in conjunctions. So, you know, make sure that anything that comes out Has conjunctions. That’s what those are called, right? With the—

Jennifer Crego [00:07:48]:
Contractions.

Chris Hunter [00:07:49]:
Contract, close. I haven’t taken English in 30-plus years.

John Clendenning [00:07:53]:
Remember the Saturday morning cartoon? Conjunction Junction.

Chris Hunter [00:07:59]:
So, but I think that that’s one way around it, right? But, but there’s all sorts of avenues that it applies. So if you can create this skill, this, this, um, way for your AI not to write like AI, you can apply that to every single bit of your content.

Laura Sutherly [00:08:18]:
Yeah.

John Clendenning [00:08:18]:
And Laura, what do you say? Like, what defines AI slop? Sorry, Jen. So I was just going to get—

Laura Sutherly [00:08:23]:
well, I was just going to say that the, the fact that it became very easy for businesses to throw in, put out a lot of blogs, you know, 10 blogs a day. I mean, really just put it out there. But the thing is, is that, I mean, we’ve said it many times. AI is here to help. It’s a nice tool. Obviously, we want to take it to different steps with the agents and areas that can really help be very efficient. But to Chris’s point, if it’s not speaking our language and have our voice, it comes back to having a human going through it to make sure that what you have online amplifies your voice in the manner that you want. If you’re speaking face-to-face with someone, having that conversation with the client, you want that pulled all the way through.

Laura Sutherly [00:09:07]:
And if what you’re putting online can be said about any business in your area, or any competitor, it is what we consider slop, what we consider not authentic to you. What problems are you solving? How are you solving them? Because any conversation you have, you pick up what your, in my case, growers are asking, what your customers are asking, what your clients are asking, and you know how to provide the solution that works best for them. So, we’re talking not just go ahead and just add a bunch of blogs because you can. You can go ahead and generate a lot of blogs, but make sure it’s authentic and it amplifies your voice. And in the past, I know we’ve talked about— look at those personality, um, courses that you’ve taken, or, you know, they give you your personality traits back. That is a very easy way. Pick out those best emails that you’ve sent. Pick out those best customer replies that you’ve sent.

Laura Sutherly [00:10:04]:
Again, to Chris’s point, it has your tone, your voice, how you solve problems, whether you’re more of a bulleted point person, whether you are more add that fluff and the information that really builds that story for your clientele. Maybe that’s an industry that works really well with that story, but you want to make sure it’s authentic and you’re going to limit the opportunity for Google to say this isn’t a real person, we’re going to take it down. So I know we’ve started talking about the different areas with reviews, or excuse me, with like Reddit and blogs, but we gotta consider testimonials and Google reviews because that’s an area that businesses thought, ooh, this is an easy button, I’ll just have a bunch of ’em generated. And those are being removed in large volumes.

John Clendenning [00:10:56]:
They are. And there’s a reason why a lot of the end of my blog posts with a really good master prompt end with the, hey, here’s all the great stuff we just talked about and now it’s your turn, go nuts. So with that said, Jen, go nuts. You’re about to say something. What, what’s your input?

Jennifer Crego [00:11:11]:
Well, I was just gonna say how important it is to refer to your, your personal experience. Because that makes it not AI slop. The agent that I built, a lot like Chris’s, it, it’s right, it writes posts, posts, social media, blog posts, uh, you know, all the things in my voice. But it also, uh, pulls in any— like, um, it actually goes through our project posts, our case studies, things like that, that it, um, it can go through and figure out which one will work best with whatever the, the I’ll talk blog posts here, not social media, but which one will go best with that blog post? And it will refer to it, it’ll mention it. So it’s, it’s using our actual experience inside the blog post. Sometimes it can, it can only like go together slightly, like AI can find a reason to make a case study or a project post can, you know, can make it, um, work with, you know, whatever the topic is. So it’s— that’s all I was gonna say. Use your—

John Clendenning [00:12:37]:
No, I think that’s— I think that’s cool because, yeah, like, think of it this way. If you had a whole bunch of case studies as one thing you did, had AI help you write them, but create case studies of a job, and then you’re creating blog posts in our world, carpet cleaning, you have a whole bunch of case studies about pet urine and, you know, helping Mrs. Jones and Mrs. Smith and all that kind of stuff. And then you write a blog post article, or your agency does for you, um, about pet urine and just, just like one of those fuller, more expansive articles, but you’ve already given it all your case studies, all your project posts, all your history. Now it’s going to say, that’s like, I remember when we did this. And AI is going to help you write a post that sounds like you really wrote it because it’s in your voice, it’s using your case studies, it knows your entire company and stuff like that. So we’re going to jump on to Brad because we haven’t heard from you yet.

John Clendenning [00:13:23]:
What’s your whole idea or thoughts around the AI slop Conundrum.

Brad Killgore [00:13:27]:
Absolutely. And just, just for clarification, I heard Laura talking before, but she seems frozen. Is she frozen to y’all?

John Clendenning [00:13:35]:
Nope. We got her.

Jennifer Crego [00:13:36]:
Nope.

Chris Hunter [00:13:36]:
Not now.

Brad Killgore [00:13:38]:
There you have it. So here’s my take on this. So as everybody on this call, we’ve been in this industry for a long time. And it seemed like in, you know, years past, I can go back as far as, uh, 15, 16, 17 years ago. something that was kind of well-known and popular for creating content and articles was spinning software.

Laura Sutherly [00:14:04]:
Mm-hmm.

Brad Killgore [00:14:04]:
So with spinners, as we called them, you could, you know, it, you had to write in this certain little language and put all these little code pieces in there so that it would then take an article and turn it into 100 articles, you know, because it had all these little pipes and You know, different— when I say pipes on your keyboard, so it had different codes in there so that you could say, make it say all these different things so it could be unique. Right? And so spinners, I mean, I imagine they still exist to some extent. Maybe there’s some AI spinners now. But the bottom line is, is there have been ways to manipulate content and try to make it look real and get as much content out there as you could. And all these different strategies. So now with AI being at the forefront, and in our case, the group here, we’ve all been exposed and using these tools as they evolve for years now, a couple years. There’s so many different ways you can go about this. Like literally this week, we were creating some realistic videos of me walking around an auto repair shop and talking and all these things.

Brad Killgore [00:15:23]:
And it wasn’t really me, but it looks so real. I mean, it is mind-boggling. Same with written content. You know, so many people have been trying to game the system now, whether it’s Reddit, whether it’s reviews, whether it’s social media like John mentioned. You know, there’s just so many— and articles and SEO. There’s all these different things that people are trying to game the system, which is there’s always been that level or that layer of folks who try to, you know, manipulate. And so the answer or the takeaway here is, you know, if you’re going to use an AI tool for any sort of content, written content, graphics, video, whatever it is, you still have to put your own spin on it. You still have to have your authenticity, whether it’s your own or your agency’s doing it for your company, whatever it is.

Brad Killgore [00:16:17]:
There just has to be that layer and that level of you’ve got to proofread it. You’ve got to, like has been mentioned, take out the em dashes and maybe the ending where it’s always going to say conclusion or key takeaways. I mean, some of these things are used every time or a lot by the different LLMs. And you just have to— it’s important that you go in there and you change things up. You know, you know, some people— and you can manipulate and say we’re going to do 50 city pages and it’s all going to be the same content except we’re going to change the name on all these pages to that specific city. Well, that tactic isn’t really going to fly anymore, but people are still doing it. So at the end of the day, You’ve got to watch closely what you’re putting out there. You know, we’ve seen a lot of stuff getting taken down.

Brad Killgore [00:17:09]:
We’ve even seen fines. I mean, there have been fines from the FTC for different things. And I’m not going to go down that road because I’m not an expert on that. But you just have to be cautious. You know, I think a lot of it was for fake reviews and different things like that. It’s just not a good idea. Use AI as your ally, but use it smartly.

John Clendenning [00:17:31]:
Yeah, I think it’s good because, yeah, the FTC has a penalty of $51,000, $51,000 per violation for fake reviews and fake testimonials. Because I know that’s a big one that people get, like big marketers get called out on, but who knows how far down the chain they go. But where, you know, if, you know, I don’t know, you name it, Hush Puppy Shoes, I don’t know, do they still exist? But if they started putting out fake reviews and fake stuff like that, you know, they get found, they get slapped, and it’s, it’s huge. It becomes a warning for everybody else because those are on the books. But yeah, you can’t be the local repair shop, roofer, carpet cleaner that says, oh, here, like, again, Google, you need a verified Google review, but you can fake reviews all over your website. Most people don’t trust reviews on a website because they’re cherry-picked or they’re fake, right? So you want to be a little bit more authentic that way. But what are some of the other action plans small businesses can do? Because Now we know, like, it’s what I guess one, the one point I wanted to make was, um, back in the day, like Brad was talking about spinners and stuff like that, where you could take one article and we used to do it too when I first learned internet marketing and tried to do affiliate marketing and all that kind of stuff in the mid-2000s. Um, we would take one article and spin it to 1,000 because you, 1,000 different articles because you’d switch this word up and switch that word up.

John Clendenning [00:18:49]:
And next thing you know, you had 1,000 words in the article switched up. Well, you can make infinite versions of it. They read terribly. You couldn’t read the second, third, fourth version clearly at all. It became a science on how to spin better.

Laura Sutherly [00:18:59]:
But the thing is, it worked for a long time.

John Clendenning [00:19:01]:
Because the act of coding an algorithm and changing it to find that took like years. Like Google Panda and Penguin were years between. Like, it was just this thing. AI is not like that. Like, oh, there’s a problem, fix that. You know, next thing you know, a month later, that entire thing has been wiped out. So if you think you’re gaming the system, don’t try and game the system. Be real, be authentic.

John Clendenning [00:19:24]:
So what are some of the things that we could do as an action plan for a small business that is now listening to this? Or an agency owner now listening and going, dang, wow, I thought I had a little bit more run room than that. I thought I had another year or 2 before I had to take down all the dribble I put up. What should they do? Who wants to handle that one?

Laura Sutherly [00:19:42]:
I would say if you are generating any or know of anybody that’s assisting your business, if you know that they’re generating any kind of reviews that may be fake or perceived as fake, Stop that immediately. That’s the first thing. If you’re a business that collects authentic reviews, know that you’re ahead of anybody that is trying to, as you said, game the system, jump ahead. Take the time to look at what reviews are out there. And we’re talking, you know, not only Google but Facebook. Look at industry sites where your reviews might be, but look at the big picture. And again, keep it authentic. Keep asking for those reviews because again, They are valuable.

Laura Sutherly [00:20:23]:
You do want those to be posted. You want to see that they’re consistent and they’re coming in with specific elements of the problems or the problems you solve or the services you offer. So take the time to review what’s already out there on your digital footprint is what I’ll start with.

John Clendenning [00:20:43]:
And Chris, do you think we could run even just a simple prompt in something like Cowork or Manus or something that’s a little more agentic and runs through and say, hey, can you review all my blog posts and find the ones that are definitely AI crap that you, that wouldn’t be acceptable today. Maybe give it a guideline from Google or something and just say, go, and then you can go have lunch and go for a walk and, you know, watch the eagles fly over the river and come back and go, thank you, because it went through all 552 of your blog posts and flagged 497 of them as being not worth it anymore.

Chris Hunter [00:21:17]:
Absolutely. So, so I’ve got a story here, right? I’ve got, Way back in the day, of course, we’ve been talking about spinning. We’ve been talking about, you know, gaming the system really is, is really what it’s all been about. And that’s what search engine optimization has been about since the very beginning of it, right? Um, because marketers, right, mess everything up. And so therefore, every single marketer out there would, would figure out what it was, or they would hear a tactic, right, a strategy to, to game the system, and then it’s like all in. And then everyone in the entire marketing, you know, agency world would just go and do that. Right? Well, a lot of times that just comes back and bites you. So the story I have here is that I’ve got a former client, right, that when we took over their blog, okay, because, you know, in the marketing world, if you don’t know, if you’re just, just watching this, blogs are a very central part of of most marketing strategies still today.

Chris Hunter [00:22:17]:
Well, this guy had paid for some definite AI slop, right? And it was posting an article every single day. And it, it was very cheap. It was obviously done overseas using ChatGPT, a very generic, you know, version. And they were just pumping these things out. I’m pretty sure the service that he paid for was like $30 a month or something like that, right? And they just simply plugged into his thing. Someone just, you know, copied and pasted 30 articles and scheduled those things out. When I came across that, I was like, I was like, man, you’ve, you’ve got to get rid of this stuff. This is just, this is going to hurt you, you know, more than it’s going to help you.

Chris Hunter [00:22:58]:
And I, and I pointed it out to him and showed him all of these things and, you know, he just didn’t listen. So anyways, fast forward about a year and we’re no longer working with him, but we still, track all rankings for all clients and stuff like that, right? I went and looked at his rankings. Holy cow. He went from being top, right, to just dropping like a rock. And this was probably 3 or 4 months ago that I noticed that. And probably about the same time that all these helpful content, you know, Updates. Updates have been coming around from Google. So, I mean, it’s, it’s very, very true.

Chris Hunter [00:23:34]:
It can hurt you and it can hurt you in a bad way because recovering from that is ridiculously hard, right? So it’s easier just to delete all of that stuff and start over from scratch.

John Clendenning [00:23:48]:
And you tapped into something really interesting because it’s been on my brain. It’s been on my vocabulary lately. I learned the name for the Dunning-Kruger effect, right? So this is a guy that didn’t even finish high school, went on the road. I was Ron Wood in a Rolling Stones cover band for a bunch of years and all that stuff. And So I learned this stuff later in life, apparently. But Dunning-Kruger is that whole idea where if you, the less you know about something, the more confidently ignorant, I don’t mean rude, I mean like just, you know, naive you are about something. And the more you learn, the more you go, you get into like the pit of despair, they call it. And then you finally realize, okay, there’s a there there, but it’s nowhere near where I was.

John Clendenning [00:24:25]:
Right. And we do run into that, like agencies as an example, when you’re, when you’re dealing with clients, um, should be talking about content integrity as a service. Because, and how do you explain to a client like that that heard, oh, $30, that should be my marketing, um, content plan, right? Why would this one company charge $5,000 to do SEO when I can do it here for $30, right? And they believe that to their core, and they get away with it because there might be a little window where the window is open and they do get away with it. And then when it shuts They, you know, like now all of a sudden the great reckoning happens and it’s too late. So with agencies, agencies have got to learn as well how to articulate this and what content integrity is and make that proof case so much better about all of these fines and this, you know, the fakeness and the algorithm changes and say, hey, it’s not me that’s telling you this. It is Google and, and, and the bigger world. So, um, any other tips for people working with agencies or agencies themselves to, uh, make sure that you’re, you’re at least working with somebody that understands what we just said?

Brad Killgore [00:25:38]:
I think it boils down to have AI drafts to start with and then human proofreading. Start there, especially on the agency side, if we’re producing content for our clients. You know, make it as authentic as we can, but then have them take a look at it because we may think that the AI pulled in some really cool facts and ideas and different things, and our client might go, oh my gosh, no, don’t publish that. You know, so yeah, I mean, it’s just a matter of human in the loop, as we’ve talked about for a long time.

John Clendenning [00:26:15]:
Yeah, that’s a good rule. That’s another one.

Jennifer Crego [00:26:18]:
Laura mentioned this, and I want to make sure we highlight it because as we’re talking about testimonials, whether they’re Uh, Google reviews, Facebook, anything like that. You know, um, historically as marketers, we’re, we’re all like, get reviews, get reviews. Like, we like pound it down our clients’ throats, get more reviews. But this is a very good time to look at the messaging that you are using, whether it’s for your business or if you’re an agency doing it for others. Look at the messaging that you’re using in those communications and see if you’re asking that customer to just leave a review, or if you are giving them a little bit of guidance on be specific, like mention the service, mention you know mention what we did for you. But I mean, you don’t want to like tell them what to write, but. Having that specificity in the, uh, in the review is gonna make a big difference. And so in your messaging, make sure that you’re, you’re asking for specifics.

John Clendenning [00:27:33]:
We got drafts, keep the human in the loop. So AI does the draft, be specific on anything. And I would say specificity even over volume, right? So on anything that we do, it’s be better now. Like, just, just Just, just be better, deeper, real. So what’s another one?

Chris Hunter [00:27:50]:
So I want to touch one real quick. This is an easy tip and it’s something that nobody does, right? And I, and I always tell my roofers, do what everyone else is not doing. Okay. Videos. Take that $1,000 machine sitting in your pocket, right? Take it out of your pocket, turn it around and talk to it. And you’re going to suck at first, but you’re going to get better at it. But I say that because nobody is doing that right now. And the ones that are gonna be, that are doing it, right? And taking that content, posting it to YouTube, post it to your blog, post it to your socials, right? It’s actually you versus AI junk.

Chris Hunter [00:28:32]:
And yes, you can, you could fake it using something like HeyGen or something like that, right? But I think that those that are actually truly 100% authentic, Going out there and using these tools that are available to every single person on the planet, right? To create that content and educate your clients. Those are the ones that are gonna win in this AI race, I think.

John Clendenning [00:28:57]:
Yeah, completely step outside. It’s like we even say with voice, like you can have voice agents answer your phone, but if you have real people that they can hand off to or real people first and voices third number rollover ring, You’re not trying to hide behind another game. Stop trying to hide behind a game and a tactic is, I think, the message of this, how to beat AI slop. So you’re sorry, you’re going to say something, Laura? I think.

Laura Sutherly [00:29:18]:
I was just going to say, to echo what Chris just mentioned, is you are, you’re correct. Put, take that video, delete it, and then take another video and delete it and take it again and delete it until you’ve built that comfort zone. But it is the ums. Show that you’re authentic. The stumbling of your words show that you’re authentic. People relate to that if it’s not overproduced. And again, it’s an area that does help with the stories behind your business, the stories about what you’re solving, how you’re working with your clients, what they’re asking you about. And sometimes I know our clients, they find that much easier because they’re always answering questions to their clients.

Laura Sutherly [00:29:59]:
So when we ask them they’re able to just roll with it and they’re able to put that specific information like Jen was saying in there. So they’re mentioning manufacturers, they’re mentioning what they saw this season, they were mentioning what they’re looking for next season, what solutions work. So it all comes together nice and tighter, I guess we’ll say, when it is video recorded. And then from there, of course, you can break it down. If we’re looking for that authentic content, you can use it it elsewhere, build on a blog. But having that video, that conversation brings that story to life quickly.

John Clendenning [00:30:36]:
And it creates a library. Like, if you think— we’ve talked about that before. Um, one of the fellows in one of our masterminds that we’re all in, um, does that where he— again, lawyers, we talked about it on another episode— um, he sits them down every 90 days or whatever and, and painfully has them interviewed for an hour or 2 or whatever it was because he needs their voice To then create real content off of. So if you’re doing that, Chris’s exact strategy, actually being real, and then just, you’ve got a library of them on YouTube, it doesn’t mean this isn’t something separate. This isn’t a database. You don’t have to wire up an Obsidian wiki and figure out, you know, RAG systems and all that. We’re saying have an AI go look at your last 20 YouTube video transcripts, pull it and say, can you put that into a MyVoice Um, document please, right? Just that simple. You recorded it, you, one extra step, you’ve now got a bit of a, and you can just keep doing that.

John Clendenning [00:31:27]:
Hey, can you write me a couple of blog posts about the stuff I’m talking about in my voice telling my stories? Thanks. And then you still human in the loop. Don’t say and publish them automatically by yourself. No, that’s a draft like Brad said, and then review it, play with it a bit. So, and then do an audit. I do suggest you do an audit of your past stuff because as Chris’s other story stated, You could have a bunch of stuff that’s hurting you and no amount of good is going to outweigh the bad, right? So, oh, my marketing agency sucks. Well, no, you told us not to take down all the stuff that makes you suck. So we’re just doing the best to make you suck a little less.

John Clendenning [00:32:03]:
So anyways, so now with that, we might have, we might have, you know, covered the topic well. Does anybody get any famous last words on this topic before we give it a wrap and let people on with their day to go fix their AI slop.

Laura Sutherly [00:32:20]:
I’ll just echo, be proactive. It is your footprint out there. It’s your presence. It’s, you know, so take the time, like you said, drop in a prompt for AI to help you review things, but be proactive.

John Clendenning [00:32:35]:
And where can they go to learn about prompting and maybe get some show notes and, you know, kind of join a community that might be talking about all of this stuff? Anybody got any ideas? I don’t know. I’m drawing a blank.

Brad Killgore [00:32:47]:
I think you should tell us about it, John.

John Clendenning [00:32:49]:
Maybe, maybe, maybe go to the AI Marketing Experts community that we have where you’re going to have the Take Action with Amy notes, a little bit more background on what we just talked about here. Ask your questions, join the club, all that kind of stuff. We’d love to have you in there. It’s in any description you’ve got here, aimarketingexperts.net. You can join through there. All of our episodes are up there as well with fuller content. All around it. So, and yes, we practice what we preach.

John Clendenning [00:33:17]:
We create content that is built around all the well-done training, and then it is edited, human in the loop, to make sure it is what we want to put out there because we don’t want to embarrass ourselves either. Like, you don’t want to be embarrassing yourself. So, with that said, if everybody’s good with that, I think we call it a wrap and let the people go off to their day and figure out How they’re going to be more authentic in this digital world.

Brad Killgore [00:33:41]:
Don’t forget to like, share, tell your friends. We’ll talk to you next week.

John Clendenning [00:33:46]:
See you next time.

00:00 Discussing AI content issues
05:38 Improving AI-generated content
09:07 Authenticity in online content
12:37 Using AI to Write Case Studies
14:04 Using AI for content creation
17:31 FTC penalties for fake reviews
21:17 Gaming SEO with Blogging Strategies
24:25 Educating clients on content integrity
30:36 Creating a content library with AI
31:27 Creating blogs and reviewing content

Is your content at risk of being wiped out? Major platforms are deleting millions of low-quality, AI-generated posts and reviews—what some marketers call “AI slop.” If you’re relying on automated content, you might be gambling with your SEO, brand trust, and even risk hefty penalties.

This episode zeroes in on a digital reckoning for marketers, agency owners, and business leaders: how to avoid the AI-generated content purge and stand out with real, authentic communication. Discover what constitutes “AI slop,” what triggers platform takedowns, and how businesses can adapt new AI workflows without sacrificing quality or voice.

The conversation focused on the mass deletions by Google, Amazon, and Reddit, all cracking down on spammy content. The discussion explored how marketers can create scalable content with AI without falling into the trap of sounding generic or inauthentic. You’ll hear firsthand experiences with AI content audits, steps for blending your real voice with AI drafting, and why human editing is more critical than ever.

Resources & Tools Mentioned:

• ChatGPT
• Google
• Reddit
• Manus
• Cowork
• AI content workflows
• AI agents for voice/style matching

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