Content Analytics For The Era of AI

AI in the Workplace: Measuring AI Content Performance

75% of workers use generative AI tools for work tasks, and organizations are updating their content systems to include AI for faster and more personalized content. AI is getting better at writing, but there are still noticeable differences compared to human writing. 

The question is: Do those differences matter to your target audience? And how do they impact content performance?

This eBook will explore the following:

Content performance measurement in the age of AI

Measuring AI-generated content presents unique challenges, like accuracy and scalability, but also brings advantages such as faster production and insightful performance analytics that can improve your content strategy.

Do we connect with AI-generated content?

Research suggests that audiences often perceive AI-generated content as more engaging and credible, even when they know it’s machine-written — but can AI truly create the meaningful connection that human content does?

Differences between AI and human content

AI-generated content tends to be more descriptive, emotional, and complex compared to human writing, which often relies on situational quirks and simplicity — understanding these differences is key to leveraging AI effectively.