AI Slop and the Long-Long-Tail: Your Biggest Missed Opportunity

[00:00:00] Everybody seems to agree on one thing right now. AI Slop or mediocre AI-generated content that is being published is bad. It's ruining search, it's polluting the internet, and it's making a lot of smart people very angry. Today, I want to argue the exact opposite. I'm going to make the case that if you're an entrepreneur, a service provider, or a content creator, a certain kind of, air quotes, AI Slop, might actually be the only one that's going to be a good idea.

[00:00:30] It's the only way you show up in AI Search and LLM Answers in the years to come. We're going to talk about why we've moved from the long tail to what I call the long, long tail. Why no content, no discoverability is more true than ever. And how to do AI-assisted content in a way that doesn't trash your brand or your ethics. So make sure you stay tuned to this controversial next episode of the Your Digital Marketing Coach podcast.

[00:01:00] Content Influencer Marketing Marketing Blogging Podcasting Blogging TikTok LinkedIn Twitter Facebook Instagram YouTube SEO SEM PPC Email Marketing Whew! There's a lot to cover. Whether you're a marketing professional, entrepreneur, or business owner, you need someone you can rely on for expert advice.

[00:01:22] Good thing you've got Neil on your side. Because Neil Schaefer is your digital marketing coach. Coach Helping you grow your business with digital first marketing, one episode at a time. This is your digital marketing coach. And this is Neil Schaefer.

[00:01:46] Hey everybody, this is your digital marketing coach, Neil Schaefer. And welcome to the podcast, episode number 440. Your home for anything and everything, digital, content, influencer, and social media marketing. Basically all of the digital threads you need to pull together to grow your business. Today's episode is going to be a little spicy, a little contrarian. We're talking about a phrase you might have seen a lot lately, AI slop.

[00:02:13] Now, most people are firmly in the AI slop is evil camp. And I understand why. But I want to give you a very different perspective. As someone who's written six books on digital and social, including my latest digital threads. I want to make the case that there is a strategic, ethical, brand safe way to use what people are calling AI slop to help you actually improve your and your business's discoverability.

[00:02:40] Especially in a world, increasingly, where AI search and LLMs are becoming the default way people get answers. Before we dive in though, a quick reminder. If you're not yet subscribed to my newsletter, head over to newsletter.neilschafer.com. It's where I share these ideas first, along with data, links, news, insights, and tools that don't always make it into the podcast. So, if this topic resonates, make sure you're on that list. All right.

[00:03:08] Well, let's talk about why the internet is freaking out about AI slop and why as a marketer entrepreneur, you might not want to throw the baby out with the bathwater. If you spent any time on X, LinkedIn, or Reddit over the last few months, you've undoubtedly seen the phrase AI slop everywhere. People are talking about the dead internet theory that search results are being taken over by generic, low-quality AI-generated content.

[00:03:34] They're worried LLMs are training on their own output and getting dumber over time. And honestly, a lot of that criticism is fair. Now, when most people say the term AI slop, what they're really referring to is, for instance, hallucinated facts, hallucinated case studies, clickbait articles with no substance, brand unsafe off-voice content that clearly no human really reviewed.

[00:04:00] 10,000-page programmatic, or I should say programmatic SEO sites designed purely to game Google. That kind of content, I'm against it. You're against it. We all should be against it. But here's where I want to push back. The conversation has lumped all AI-assisted content into that bucket. And that's where I think we're making a huge mistake, especially if you run a business and you need to be discoverable. So, to bring some nuance back into this, I want to bring AI slop into three different tiers.

[00:04:30] The first is garbage slop. This is the hallucinated, misleading, or plagiarized content that we see. This is a hard no. Then there's also the neutral filler. The generic 10 tips for X that anyone could write. That's a big meh. But we also have one tier, which is structured and I would say strategic AI-assisted content. Accurate, on-brand, designed to answer real questions your audience, and now LLMs are actually asking.

[00:05:00] Now, I'm not here to promote tier one or even really tier two. What I am going to argue for is tier three. The kind of AI-assisted content that, done right, becomes a strategic asset for your discoverability. Now, to understand why, we need to talk about how search itself is changing and why we've moved from the long tail to what I am calling the long long tail. So, if you follow my work for a while, you know I've been talking about long tail SEO for years.

[00:05:28] But AI search and LLMs have completely changed what that looks like in practice. So, traditional SEO was about ranking for a manageable set of keywords. And in fact, in digital threads, I talked about building a library of content. If you had a list of 52 keywords that were relevant to a specific product or service, that was this manageable set of keywords. 52, right? Or it could be less or more, depending on your product or service and actual search demand.

[00:05:55] But examples for these are like best CRM software, ERM marketing tips. Then we got the long tail, right? Not just best CRM software, but best CRM for small businesses. Or not just email marketing tips, but email marketing tips for e-commerce. Now, with ChatGPT, Perplexity, Claude, all these tools, the questions look more like, what's the best CRM for a freelance graphic designer in Ohio who hates subscriptions and needs client portals?

[00:06:24] That is not a keyword. That is a full sentence with intent, preferences, and context baked in. So, the way we search is changing. And we sort of became used to the Google way of searching. And now we are becoming used to this conversational way of searching, where we don't have to limit ourselves to just a few keywords to get an answer. We can go deep in full sentences and paragraphs to get our answer. So, here's the thing. And LLMs also don't just look at one query.

[00:06:54] To answer that one question, they may fan out dozens of background searches, hitting multiple sources, parsing multiple pages. So, the addressable query space, all the possible ways someone could ask a question about your niche, has literally exploded. And that is what I mean by the long, long tails. So, in my book, Digital Threads, as I mentioned, I talked about this idea of building a library of content. My line has always been, no content, no discoverability. And you know what? It is the same today.

[00:07:23] But, in 2015, maybe 50 high-quality, very relevant, search-intent researched, excellent blog posts were enough to be discovered. In 2026, to show up across the long, long tail, you might need 500 or 1,000 pieces of content that cover all the different permutations of how people ask questions about what you do.

[00:07:50] So, no surface area in the long, long tail literally means no visibility in AI answers, assuming your competitors have answers for the long, long tail. So, if the universe of questions has gone from big to basically infinite, what do you actually do as a business owner? Now, this brings me to a story from my recent trip to Japan that really crystallizes for me. So, I was visiting a Japanese semiconductor manufacturer. I used to work in that industry.

[00:08:20] Brilliant engineers, world-class technology. But when it came to English language content marketing, they were way behind their overseas competitors. They told me, Neil, our U.S. and European competitors have been blogging in English for a decade. They've got case studies, FAQs, white papers, you name it. We're trying to catch up. And we've started publishing AI-generated English content. But we're not sure if that's a good move or if we're just creating AI slop. And here's what I told them. And this is really the heart of this episode.

[00:08:49] Without content, you are invisible. You are a ghost to Google and you're a ghost to LLMs. If the AI-generated content you're creating, one, accurately represents your technology, two, reflects your brand and your expertise, and three, helps someone understand what you actually do and how your technology might be able to help them in their various applications, then no, that is not a mistake. That is a necessary first step to get you on the map.

[00:09:16] So right now, many companies are like a city library with one shelf of books. It doesn't matter how good these books are. Almost nobody's going to find them. Your competitors are building full stacks, multiple floors, cross-references, special collections. So when LLMs go out hunting for information, who do you think they're going to find? So this isn't just about Japanese semiconductor companies. If you're a consultant, an agency owner, a SaaS founder, a local service provider,

[00:09:44] and you've barely published anything online, you're invisible. In a world of AI search, you're not in the conversation. You're not even an option the model will consider. So some kind of high-volume AI-assisted content becomes almost a requirement just to move from ghost town to I exist. The question is, how do we do that without crossing the line into garbage? So I want to remind you, those three tiers of AI content,

[00:10:13] the garbage slop of hallucinations, plagiarism, lies, the neutral filler, which is technically fine, but generic and unhelpful, or the third tier of the structured AI-assisted content rooted in your expertise, your voice, and mapped to real customer questions. I am only in favor of that third tier. So think about it this way. If you were building a house, you wouldn't build the entire thing out of hand-carved mahogany. That would be insane. You need concrete.

[00:10:42] You need drywall. You need a solid but kind of boring foundation so the beautiful stuff has something to sit on. In your content strategy, your book, your keynote talks, for me it's this podcast, your deep dive thought leadership posts, that's the mahogany. Your AI-assisted FAQs, niche how-to, specific how do I do X and Y situation articles, that's the drywall. That's the infrastructure. Or imagine a forest. You need the big trees, your flagship content,

[00:11:12] but you also need the leaves, the underbrush, the soil, the microorganisms. That messy, abundant layer is what feeds the ecosystem. Critics often judge AI-assisted content as if every leaf has to look like a tree. It doesn't. The ecosystem needs both. Another way of looking at this, I'm really into analogies today. I really want to drive this point home. That's why. LLMs are like whales and our content is the plankton. They don't eat one giant fish.

[00:11:42] They filter millions of tiny data points. So if you want to show up in AI answers, you have to feed the whale with accurate brand aligned content that covers your niche from many angles. All right. I think you get the picture or multiple pictures. So let's get out of theory and into practice. I'm all about actionable advice and I know that's why you tune into this podcast. So if you want to do this the right way, what does a responsible AI slop strategy actually look like? So I want to give you a simple playbook

[00:12:11] you can follow so that you stay on the right side of ethics, you protect your brand, and you actually get the discoverability benefits we've been talking about. So I want to introduce to you the four guardrails of responsible AI volume. If you stay inside these, you're going to be in good shape. Number one is the source guardrail. Critical. Start with your own stuff. Your blog posts, newsletters, webinars, decks, support tickets, customer emails,

[00:12:41] customer phone calls that you might've recorded, sales conversations that might be recorded, interviews with people on your staff, right? The AI should be restructuring and rephrasing your ideas, not hallucinating expertise you do not have. That is, should be a no-brainer, but it bears reminding. Number two, second guardrails, accuracy. Anytime you're dealing with numbers, promises, medical, legal, or financial advice, product capabilities,

[00:13:10] you or someone on your team has to fact check that, period. Have a list of non-negotiable truths about your business that the AI can't mess with. Three is the brand voice guardrail. Create a simple style guide and use prompt templates. What tone do you use? What phrases do you avoid? What words do you often use when describing your product or service or company? Are you more teacher, more coach, more analysts? AI is the keyboard, not the author.

[00:13:39] Your brand should still be clearly recognizable in this content. And number four, utility, right? Helpful content. If a piece of content doesn't answer a real question, solve a real problem, or clarify a real confusion, it does not get published. Garbage slop is what happens when we forget this guardrail. So you're probably asking now, how do you actually use AI in a way that expands your surface area in the long long tail? Now, I like to think of this

[00:14:08] as fractal repurposing. We could also call it fractional repurposing. So let's say you have one great podcast episode or one webinar or one long form blog post. In the past, maybe you created, repurposed that into social media posts. Maybe you repurposed that into a YouTube video script, a podcast script. But inside that, there are probably 20, 30, 50 specific questions you answer along the way, right? Little side comments,

[00:14:38] examples, mini frameworks. So here's the workflow. Transcribe that asset. I use otter.ai. Go to neilschafer.com slash otter, O-T-T-E-R to get the best deal. And I thank you because that obviously is an affiliate link. Ask AI to extract all the specific questions and use cases you covered. Interestingly enough, I have not experimented with all the large language models, but ChatGPT used to not be able

[00:15:07] to accept an SRT file, which I prefer to export. But I know that ChatGPT 5.1 does accept that. With otter.ai, you can export, you know, text, doc, SRT. The SRT file I use for YouTube closed captions. So, you know, pick a format and stick with it. But it's very, very easy to then upload that and ask AI. And then once AI has given you whatever model you use, specific questions, use cases, pick, say, 20 of them. And for each one, have AI draft

[00:15:36] either a focused article if you think it's worthy of it or an FAQ answer that you can embed in one of your already existing blog posts. Then, and this is really important, you go in and add your personal example, add a screenshot, add your proprietary language or framework. Do not use as is. Add your special sauce. So instead of one big piece hoping to rank for a broad term, you have 20 very specific, very helpful pieces that line up with actual long, long tail questions

[00:16:06] that you could sprinkle throughout your website or if necessary, if you don't feel there's cannibalization going on and you don't have any content regarding a few of those questions and it makes sense to compile them to one post, that becomes a new post that is not driven by your specific keyword research but it's driven by the needs of the long, long tail. And then, you've got to tie it to your audience, right? If you already have years of content, this is really good news. You're sitting on a gold mine. You don't need to create everything from scratch.

[00:16:36] You need to surface what you already know in a way AI systems and humans can both find. Now, I know some of you are still thinking, okay, Neil, but aren't we just adding to the noise? Isn't this going to come back to bite us? So, I want to address a few of those objections head on. If by spam you mean content that doesn't help anyone and only exists to trick an algorithm, yeah, that is evil. But if someone types or speaks an ultra-specific question into AI search

[00:17:05] and your article shows up in the model's retrieval set and actually answers it, whether you get a citation or not, that is not spam. That is a service. Now, another objection you may have is won't this hurt my brand? Brand damage happens when the content is clearly off voice, it's wrong, or it's being pushed front and center as your flagship thought leadership. What I'm describing lives mostly in your library, on your blog, in your help center, in your resource hub. Your hero content,

[00:17:35] the stuff you email, the stuff you talk about on stage, that can and should remain very human. Another objection you might have is that Google will penalize AI content. But search engines have become really clear. They care more about helpfulness than how the content was produced. If your AI-assisted content is unhelpful, then yeah, it's going to get ignored or worse, you might get banned. But if it's accurate, useful, and clearly aligned with what the query is asking,

[00:18:04] they have no reason to penalize it just because AI was involved. Objection number four, this is lazy. So, I like to compare this to calculators. Nobody says you're lazy because you don't do long division by hand anymore. Nobody says you're lazy because you use the internet to search something or you ask ChatGPT for an answer that you get right away. You use a calculator so you can focus your brain on the problem, not the arithmetic. And AI is the same. Let the machine that is fine-tuned

[00:18:34] to your voice, your company, etc., your content, let the machine help you draft, rephrase, and reformat so that you can spend your time on talking to customers, developing original IP, and refining your offer and your strategy. There's one other important thing to point out here. I've become a big fan of using the tool ClearScope. Once again, I'll share my affiliate link so you get the best deal. It is neilschafer.com slash C-L-E-A-R S-C-O-P-E and I use

[00:19:03] it as a way not only to help me create AI-generated content, but as a way to see where I am getting cited in Google Gemini and ChatGPT. And here's the thing. This is an important step to take to audit your content to see which blog posts you are getting content from to look for patterns in which you know, why would the AI actually use content from that specific blog post? What is the formatting, the topic, etc.? But if you

[00:19:33] were just to look at the next time you do an AI search, look at all the different searches that the LLM does in order to give you the answer, you begin to see all these long, long tail searches that I'm talking about. So in an ideal world, you'll get some idea as to what are the actual searches being done that your customers might be doing based on what you imagine a prompt might be and making sure that all this content that I've talked

[00:20:03] about up until now that is repurposed is actually aligned with what searches are actually being done by LLMs. And I think the tools to track this are going to get more sophisticated over time, but this is really what we're trying to do. We're not just trying to share content in the blind, although answering your customers questions is always a best practice. But if we can align it with those actual queries being sent out by LLMs through your own prompting, then you have the golden combination to be able to answer

[00:20:32] what are now proven relevant queries that are being sent out by LLMs and you have relevant answers for them. So let me bring this all together. We have moved into an era of the long, long tail where the combinations and permutations of questions people ask AI systems are basically infinite. In that world, a one-shelf content library is not going to cut it. If you don't have content, you can't be discovered by humans or by LLMs.

[00:21:02] And using AI responsibly to create structured, useful, on-brand content isn't slop, it is survival. So if you want to start small this week, here's what I'd suggest. And it's a new way of thinking about repurposing with this fractal or fractional repurposing. Inventory one flagship piece that you're proud of. I mentioned a podcast, a webinar, a long form blog post. List 10 to 20 specific questions that it answers and you can have your AI help

[00:21:32] you extract them. Turn three of those questions into standalone answers using AI as your assistant, then refine them yourself and publish them. These are standalone answers that your content currently doesn't exist for online. And that's it. Just by doing this, you have taken the first step from ghost town to library in this new era of AI. Now I know this is a controversial topic. My only belief in

[00:22:02] giving you this advice is if you were my client, if you were a paying fractional CMO client, or you were in my digital first group coaching community, this is the advice I would give you. I would love to hear where you land on it. Are you anti-AI slop? Are you cautiously pro? Have you already been doing this and just never called it that? Connect with me on LinkedIn, linkedin.com slash in slash neilshafer, N-E-A-L-S-C-H-A-F-F-E-R. Let me know you came from this podcast

[00:22:31] episode and share your perspective. And if you want more examples and prompts and more info on tools, as I mentioned before, make sure you subscribe to my newsletter, newsletter.neilshafer.com. I also go much deeper into this idea of building your content library and digital surface area in my book, Digital Threads. So if this resonates, definitely check that out as well at neilshafer.com slash digital threads

[00:23:00] on Amazon. All right, that's it for this episode. I hope it gave you something to think about because the world is changing and early movers seem to always get an advantage when done right. So I'll leave you with that. Make sure that you've already hit that subscribe button because I'll be back soon with more on how you can grow your business with digital first marketing. Until then, keep creating, keep experimenting, and keep showing up where your customers and now the AIs

[00:23:29] they use are looking for you. This is your digital marketing coach, Neil Schaefer, signing off. You've been listening to your digital marketing coach. Questions, comments, requests, links, go to podcast.neilschafer.com. Get the show notes to this and 200 plus podcast episodes at neilschafer.com to tap in to the 400 plus blog posts that Neil has published to support your business. While you're there,

[00:23:59] check out Neil's digital first group coaching membership community if you or your business needs a little helping hand. See you next time on Your Digital Marketing Coach.