Here’s a quick experiment: Open the AI platform of your choice (ChatGPT, Claude, Gemini, etc.) and ask it to write a 1,000-word blog post on your subject of choice.
Read what comes back, then provide another prompt with a slightly different ask. Maybe something like, “Write a 1,000-word blog article that addresses the value of [your subject].”
Then repeat the ask one last time with another slightly different but still relevant prompt.
At some point, you’ll notice several patterns emerge.
You’ll see crisp structures and clean sentences across each piece. The information is (mostly) accurate. But something is missing. There’s no clear voice behind it. You get the facts, but not the sense that someone with experience on the matter actually wrote it.
That gap—the one between factual content and content that comes with perspective—is one that AI cannot close, and it’s the same gap where human-based content marketing actually wins.
We’ve spent nearly two decades discovering what separates the brands people engage with from the brands people scroll past, and what we’ve learned is that it all boils down perspective. Specifically, the kind of perspective that only comes from the experience of doing the work, connecting with audiences, and caring deeply about every outcome.
The Content Dilution Crisis
Here are some staggering numbers:
- 93% of marketers now use AI to help create content at a faster rate. (Adobe, Statista)
- 74% of new webpages contain some amount of AI-generated content. (Ahrefs)
- 68% of businesses have increased marketing ROI using AI. (Semrush)
- 91% of pages cited in AI Overviews contain some amount of AI content. (Ahrefs)
It now takes minutes to generate, review, and post AI-generated content to your website, saving time and money on the creation front.
While that may sound like good news for marketing teams, it’s really creating a crisis of sameness.
When you remove the human element from content creation, the internet fills with content that lacks any evidence of experience or perspective. As a result, we are left with content that is the same across the board—bland, unmemorable, and essentially a rehashing of the content that has already been produced.
Think of it this way: In a painting, there are all sorts of colors with various hues, tints, and tones that come together to capture the subject. Now, imagine that, instead of using unique, individual colors to form the piece, all the paints were mixed together first, removing individual colors and leaving you with a single shade of grayish brown. The single color can still be used to capture the same subject, but the end result will definitely not be the same.
Why Is Content Dilution Problematic?
There are several reasons why AI-generated sameness is an issue, the main two being:
- Audience mistrust: Audiences aren’t dumb. They can quickly recognize the difference between generic and unique, and most are hesitant to trust what looks and feels generic. Plus, with all the generic content to parse through, audiences can become burnt out in their search for authenticity, making them more difficult to reach.
- Optimization signals: Search engines and AI answer engines increasingly reward content that is original (exhibiting experience and expertise), structured, authoritative, and trustworthy.
Why Is Content Dilution Actually an Optimization Opportunity?
Sure, we are living through the great commoditization of content in the era of AI. But that actually opens up a fantastic opportunity for companies willing to seize it, and that is the opportunity of working in perspective.
Perspective, POVs, thoughtful takes. Whatever you want to call it, it’s something that leadership teams have (or should have) that AI models could never generate. Working it into both human- and AI-generated content can change the game immensely, especially considering that thought leadership (or perspective-based content) is a major component of the EEAT (experience, expertise, authoritativeness, trustworthiness) signals that Google and AI models rely on when sourcing content for search responses.
Perspective is a primary driver of “information gain,” or the metric algorithms use to reward original human insight in search rankings. In other words, algorithms want what AI itself cannot produce, and that’s a human-generated point of view.
The Cans and Cannots of AI
We’re not saying AI is something to avoid or remove from your processes, as it is genuinely and impressively capable of many things.
What AI Can Do:
- Synthesize large volumes of existing information quickly and coherently
- Draft and restructure content at scale
- Adapt tone and format across channels
- Surface keyword patterns, topic clusters, and competitive gaps
- Speed up first drafts that human editors can then refine
AI is a formidable production tool. Used well, it speeds up and standardizes the content marketing process. The agencies and brands that dismiss it entirely are more likely to lose ground to those who’ve integrated it thoughtfully.
But it absolutely has limitations.
What AI Can’t Do:
- Sit across from a client whose campaign underperformed and be honest about why.
- Watch a market shift in real time and rebuild a brand’s messaging from scratch.
- Develop a hunch from 200 client conversations that turns out to be right—or wrong—in ways that shape how it thinks moving forward.
- Feel the weight of someone else’s marketing budget, or the responsibility that comes with spending it well.
Genuine thought leadership is developed over time out of moments like these and hundreds of others. Because AI has democratized information so rapidly, thought leadership is no longer about producing more information. Instead, it’s about guiding interpretation—helping people contextualize and synthesize insight in ways that create real meaning. (CMI)
An AI model trained on already produced content tells you what is already known. It takes a leader’s perspective to tell you what it means.
The Three Things That Actually Differentiate Content Now
If you’re trying to produce content that stands apart from what AI can generate in thirty seconds, there are three things worth building because they’re the things AI structurally lacks:
1. Original Point of View
A point of view is not an opinion. Anyone can have an opinion. A point of view is a perspective that is earned from years of observation, years of recognizing patterns seen across dozens or hundreds of client engagements, years of being right and wrong enough to know the difference between the two.
At M&R, we’ve worked across all industries for nearly two decades. That breadth creates something no AI response can replicate: a cross-industry view of what actually moves the needle in marketing and what just looks like it does.
Ask AI what the key trends in content marketing are, and it will produce a competent, well-organized list. Ask it why one trend matters more than another for a 17-year-old service business with 94% client retention, and it will flounder, because that answer requires lived context that only those at M&R have gained.
2. Earned Insight
There’s a category of knowledge that only exists on the other side of real client relationships. It’s the insight that doesn’t come from reading a case study but from putting in the work that a case study will eventually cover.
For example, in 2024, when a regional credit union turned to M&R Marketing, it was on a mission to increase membership by squashing the myths many held, such as: it was too exclusive, too technologically limited, and too hard to access.
M&R’s team dove deep into the client and their audience to uncover where the myths originated, how the credit union disproved them, and how we could communicate the facts throughout its 13-county service area. In our process of discovery, strategy creation, and campaign implementation, we gained numerous insights into marketing in the financial industry for an institution available to anyone in its service area but whose audience is generally unfamiliar with its capabilities.
Check out the full case study for a complete look at what we achieved for Midsouth Community Federal Credit Union.
3. Honest, Specific Voice
When we talk about voice, we’re talking about the unique personality of a brand as it communicates its messages and reflects its company values. It’s what gives brands that stand out from the noise their edge. Consequently, it also gives brands with a distinguishable voice more traction than those with more generic voices.
Take M&R’s voice, for instance. M&R’s brand voice was built by our team’s leadership, Nick and Matthew, a pair of co-founders with a specific perspective on the world of marketing. Both wanted to show, from the beginning, that effective marketing solutions for any industry didn’t have to be stiff or lifeless. It could come with a casual personality. Our work shows that we know what we’re doing, while our voice shows that we have fun doing it. From Day One, we have practiced that voice because we know that’s the one thing no one can replicate, not even AI.
Perspective’s Role in SEO, GEO, and AEO
As mentioned, Google’s algorithm increasingly rewards “information gain,” or the content that adds something to the broader conversation rather than restating what already exists.
AI-generated content that remixes existing sources scores poorly in both search results and AI responses. Content that draws from proprietary experience, specific case data, or a distinct interpretive lens scores well because it gives the algorithm something it hasn’t indexed before.
That matters enormously for Generative Engine Optimization (GEO), the method of optimizing content to be cited by AI-powered engines like Perplexity, ChatGPT, Gemini, and others. These systems prioritize synthesizing content before linking to content sources. They pull information from their sources to surface authoritative, structured, specific insight. If your content sounds like what an AI would produce, there’s a lower chance that an AI engine will choose to use it and cite it.
The same logic applies to Answer Engine Optimization (AEO) as well. It’s crucial to structure content to answer specific, intent-driven queries in a way that earns a featured position in AI-powered search results, like Google’s AI Overview or Microsoft’s Copilot.
Featured answers or search results all require content that exhibits clarity, authority, and specificity, as all three are properties of content grounded in real experience, not content manufactured from what the model already knows.
AI models are actively searching for the same kind of content that they themselves are least equipped to produce: Original perspective; first-person practitioner knowledge; and specific, verifiable insights. They are looking for the kind of content only a human with real experience and real stakes can actually write.
Perspective: An Advantage of a Strategic Marketing Partnership
There’s a reason thought leadership is hard to outsource—or at least, hard to outsource well.
Producing content that carries real perspective requires more than access to a brand’s talking points and a capable writer. It requires deep familiarity with the business: its goals, gaps, and tensions that don’t make it into the strategy deck. It requires sitting close enough to the leadership team to know not just what they want to say but what they actually believe. And it requires enough trust to say, occasionally, that the thing they want to write isn’t the thing their audience needs to read.
That’s the distinction between a content vendor and a marketing partner. A vendor takes a brief and produces output. A partner brings a point of view to the table and then does the work of turning that POV into content that performs.
At M&R, we’ve developed an effective strategic partnership model entirely built on four commitments:
- Alignment—understanding where you’re headed, not just what you want to publish this month.
- Ownership—taking real accountability for outcomes, not just deliverables.
- Proactivity—bringing content ideas grounded in your business before you even think to ask for them.
- Integration—being close enough to the business that what we produce actually reflects how you think, not just what you sell.
Those four things are what make it possible for a marketing partner to produce content that carries genuine perspective and insight, not just polished prose.
Don’t get us wrong, we’re not arguing against AI. We’re just acknowledging that AI has made content production a commodity, and the best response is to invest more deeply into the perspective you’ve built from years of doing, failing, adjusting, and doing again.
That’s what good content marketing has always been. It’s also what great content marketing will always require.
Ready to build content that rises above the AI slop with an effective perspective? Chat with M&R Marketing today: 478-621-4491
M&R has spent nearly 20 years helping businesses across the country build marketing that reflects who they actually are through content that carries perspective. If you’re ready to transform your marketing to do the same, let’s talk.
Contact our team today at 478-621-4491, or reach out to one of our business development managers.
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