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VP of Growth Eoin Clancy identifies three signs of low-quality AI content: it offers no new "information gain," fails to match the brand's voice, and uses robotic tells like em dashes or formal words like "utilize."
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.
A major pitfall for brands is using generative AI to autonomously create large volumes of product descriptions. This low-quality "AI slop" lacks value, erodes brand image, and harms sales performance. AI's better use is in targeted data enrichment and discovery.
The flood of low-quality, AI-generated content is not a threat but an opportunity. "AI slop" devalues generic content and makes genuinely educational, entertaining, and human-centric material stand out more. This raises the bar, rewarding brands that invest in real expertise and authenticity.
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.
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.
Generic AI copy is poor because LLMs learn from the internet's vast, low-quality content. The key to effective AI-generated copy is training it on a user's specific values, personality, and brand voice, moving beyond generic prompts to create something that resonates authentically with a target audience.
Combat the generic "sounds like AI" problem by tasking an AI to regularly scan your past content—emails, captions, and posts—to learn your unique tone, style, and evolving vocabulary. This creates a dynamic brand voice guide that ensures all future AI-generated content sounds authentic.
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.
As AI makes content creation ubiquitous, the internet is flooded with shallow, generic "AI slop." Consumers are adept at spotting it, with 59% saying it damages their trust in a brand. This creates a premium for human-crafted, authentic stories.
In the age of AI, 'slop' is not defined by typos or poor formatting, but by well-structured content that lacks a person's unique insight, critical thinking, and accountability. It's the absence of a real, defensible human author behind the words, a problem reviewers can now easily spot.