In a recent LinkedIn post, Kieran Flanagan discusses a subtle yet effective method for identifying content generated verbatim by artificial intelligence. The marketing expert points out that while many might focus on stylistic quirks, the true giveaway lies in a specific rhetorical pattern that AI assistants frequently employ when attempting to sound profound.
Flanagan’s analysis suggests that AI, trained on a vast dataset of thought leadership and TED Talk-style content, tends to fall back on a predictable structure when it aims for originality or deep insight. He labels this pattern the ‘contrarian reframe.’
“It’s not [familiar thing everyone says]. It’s actually [rebranded version that sounds profound].”
According to Flanagan, this formulaic approach is a clear indicator that the text might not be entirely human-generated. He elaborates on how this pattern manifests in practice, often presenting a common piece of advice and then offering a superficially more sophisticated, rebranded alternative.
The ‘Contrarian Reframe’ Explained
Kieran Flanagan breaks down the ‘contrarian reframe’ by illustrating its application in common business and marketing contexts. He provides examples that highlight how AI might take a widely accepted principle and twist it into a novel-sounding concept.
Examples of the Pattern
Flanagan shares specific instances to demonstrate his point:
- Regarding content creation, an AI might suggest: “Sure, influencers will tell you to post more content. But it’s not about posting more; it’s about strategic content resonance. I call it the Resonance Framework, and it changed everything.”
- In the realm of sales outreach, the pattern appears as: “Today, we’re seeing that it takes more email outreach to book meetings for our sales teams. But, it’s not about sending more email, it’s about practicing Permission-Based Relationship Nurturing, and when you understand that, it changes everything.”
As Flanagan notes, these examples showcase how the AI attempts to elevate a basic concept by presenting it as a contrarian or newly defined strategy. He emphasizes that this is a direct result of AI’s training data.
“AI reflects its training set, which is filled with TED Talks, thought leadership content, and so on. When it wants to say something profound, it will always default to this pattern.”
Why AI Defaults to This Pattern
Flanagan’s core argument is that AI assistants are designed to synthesize information from their extensive training data. This data frequently includes content that aims to be insightful, motivational, or contrarian – the very elements that often characterize successful thought leadership.
Consequently, when an AI is prompted to generate content that sounds particularly insightful or offers a unique perspective, it draws upon these learned patterns. The ‘contrarian reframe’ becomes a go-to structure because it mimics the style of profound statements found in its training corpus.
“The easiest way to spot someone pasting copy from an AI assistant verbatim is the following: it’s the contrarian reframe.”
He concludes by sharing that this pattern is observable even in the work of prominent AI influencers, underscoring its prevalence. Flanagan’s insight offers content creators and consumers a valuable tool for discerning AI-generated text from human-authored original thought.
📝 About This Content
This article is based on insights shared by Kieran Flanagan on LinkedIn.
📅 Originally posted on January 22, 2026 | View original post on LinkedIn →