Eoin Clancy of Airops defines low-quality AI content, or 'slop,' with three indicators: 1) It isn't unique and fails to advance the conversation. 2) It doesn't sound like your brand. 3) It uses robotic language, such as 'utilize' instead of 'use' or excessive em-dashes.

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The problem with bad AI-generated work ('slop') isn't just poor writing. It's that subtle inaccuracies or context loss can derail meetings and create long, energy-wasting debates. This cognitive overload makes it difficult for teams to sense-make and ultimately costs more in human time than it saves.

The most common marketing phrases generated by ChatGPT are now so overused they cause a 15% drop in audience engagement. Marketers must use a follow-up prompt to 'un-AI' the content, specifically telling the tool to remove generic phrases, corporate tone, and predictable language to regain authenticity.

AI makes it easy to send mass emails, but they often sound robotic. Buyers now recognize and block this "sycophantic crap," making personalized, human-written emails more crucial than ever for standing out and avoiding domain-level blocks.

The term "slop" is misattributed to AI. It actually describes any generic, undifferentiated output designed for mass appeal, a problem that existed in human-made media long before LLMs. AI is simply a new tool for scaling its creation.

As audiences grow tired of generic, low-effort AI content, brands can gain a competitive advantage. Focusing on authentic, human-driven, and even imperfect content will become a key differentiator and a core growth tactic in a saturated digital landscape.

As platforms like LinkedIn become saturated with generic AI content, authentic human voices stand out more than ever. A distinct, personal writing style—even with occasional typos—is becoming a powerful differentiator that cuts through the noise and builds trust.

Even a well-trained AI can produce emails that feel robotic. A rep's message, despite being structurally sound, was criticized because it "read like a chat GVT email." This highlights the risk of losing the human element and personal flair that builds connection, even with advanced tools.

GM's CMO warns that AI in creative often produces average results because it finds the "most likely next answer," reflecting the category norm, not a distinctive brand voice. Simple edits can also trigger a full re-render, introducing new errors and creating more work.

In an AI-driven world, unique stylistic choices—like specific emoji use, unconventional capitalization, or even intentional typos—serve as crucial signifiers of human authenticity. These personal quirks build a distinct brand voice and assure readers that a real person is behind the writing.

AI tools are best used as collaborators for brainstorming or refining ideas. Relying on AI for final output without a "human in the loop" results in obviously robotic content that hurts the brand. A marketer's taste and judgment remain the most critical components.