How to Prompt AI for Contrarian Content Angles That Drive Engagement

A piece published on DEV Community argues that AI-generated content tends to be safe, neutral, and forgettable because most users prompt tools like ChatGPT to summarize rather than to find friction points in an argument. The author draws on a 2012 Journal of Marketing Research study by Jonah Berger and Katherine Milkman, which found that high-arousal emotions such as surprise and contradiction make content significantly more shareable than agreeable, informative writing. The core claim is that large language models are trained to reward thoroughness and avoid controversy, making their default output structurally similar to countless other summaries. To counter this, the author proposes a specific prompt framework that instructs the AI to adopt a content strategist persona and extract viewpoints that run against widely held assumptions of a target audience. The goal, the author emphasizes, is not to manufacture outrage but to interrupt predictable reading patterns and produce angles that feel genuinely novel.