What AI Headline Testing reveals about audience engagement

Artificial Intelligence (AI) has quickly become a regular part of newsroom conversations, with generative AI tools transforming how teams create, test, and optimize content to maximize reader engagement. At Chartbeat, we’re seeing a rise in AI-assisted headlines. With their growing use, it’s important to understand how AI-generated headlines affect content performance and audience engagement.

To understand the effect AI is having in newsrooms, we analyzed AI-assisted headline tests and non-AI-assisted headline tests from January through June 2025 to see the effects on engagement, click-through rate (CTR), and other metrics.

What we found in our analysis highlights how quickly newsroom behavior is changing — and why pairing data-driven insights with AI experimentation can help shape and boost audience engagement.

What is Headline Testing?

Before we dive into the data, let’s review the foundation of headline testing. Headlines are often the deciding factor in whether a reader clicks through to a story, and testing headlines against each other can reveal the small variances that impact engagement.

Product shot of Chartbeat Headline Testing tool that contains AI headline suggestions

Chartbeat Headline Testing, a product designed to compare different headline variations in real-time, helps to identify which headline resonates most with audiences. In 2024, the AI-Generated Headline Suggestions feature was introduced within the Chartbeat Headline Testing suite, and uses generative AI technology to suggest headlines that are optimized to drive higher click-through rates and stronger audience engagement. 

As the backdrop for our analysis, we’re comparing the impact of AI headlines to non-AI headlines to see if we can find material differences in the improvements of each type of headline testing.

Interested in learning how to run a successful headline testing strategy? Read our blog post on optimizing headlines and engaging audiences with data-informed experimentation.

The impact of AI headlines on CTR

Though non-AI headline experiments still outnumber AI headlines ten to one, we’ve seen the number of AI-assisted headlines more than double. We suspect this increase could be due to greater interest in generative AI and news organizations wanting to leverage this technology in their work.

An important note: AI-generated headlines are flagged by the user rather than being flagged automatically, so there may be limitations to the accuracy of these numbers.

As adoption is growing quickly, publishers are learning that even when AI-generated headlines don’t win a test outright, there’s evidence that their presence has a beneficial impact.

AI headlines vs. original headlines 

In our analysis of AI experiments, we found that AI-generated headlines won 27% of the time, while original (non-AI) headlines won 26% of the time. On its own, the difference may not seem dramatic, but it serves as a meaningful signal that the presence of AI is moving content performance in the right direction. 

However, this slight win for AI-generated headlines doesn’t paint the full picture. Let’s dig deeper into the data to see whether other engagement metrics support the idea that AI-assisted headlines are providing a measurable lift.

CTR lift with AI-assisted headlines 

Image of graph displaying the difference in average CTR lift for AI headlines vs. original headlines

When we focus specifically on the winning headlines, the advantage of AI becomes more pronounced:

  • AI-assisted headlines generate a 55% CTR lift
  • Non-AI headlines (from non-AI-assisted experiments) generate a 50% CTR lift

The takeaway: These results suggest that AI has the edge, and winning AI-generated headlines consistently deliver stronger CTR.

All headline tests

Image of graph displaying difference in average CTR lift for all headline tests, including AI-assisted headlines and non-AI headlines

When examining all headline tests — including those without AI variants — we see: 

  • AI-assisted experiments generate a 32% CTR lift
  • Non-AI headlines generate a 6% CTR lift

The takeaway: The presence of AI testing itself appears to be beneficial for experiments, potentially leading teams to explore new variations or refine their instincts even if the specific AI variants don’t win. 

Want to learn more about headline testing? Read our case study on how Deseret News boosted CTR by 45% with Chartbeat.

AI’s impact on engagement lift 

Building on these CTR findings, our analysis of headline experiments also reveals a significant uplift in engagement when using AI assistance. 

Winning headlines only 

Image of graph displaying the difference in average engagement lift for winning headlines only for both AI-assisted headlines and non-AI headlines
  • AI-Assisted Headlines: Experiments where an AI-assisted headline emerged as the winner saw an average engagement lift of 8%
  • Non-AI Headlines: In contrast, experiments without AI assistance (where a non-AI headline won) showed an average engagement lift of 3%

All completed experiments 

Across all completed experiments — including non-winning headline variants — we see that AI delivers benefits across the entire testing process.

Graphic displaying the difference in average engagement lift for all completed experiments between AI-assisted headlines and non-AI headlines
  • AI-Assisted Headline Experiments: Across all completed AI-assisted experiments, the average engagement lift was 4%, even when the original headline variant ultimately won
  • Non-AI Headline Experiments: For experiments without AI headlines, the average engagement lift was 1%

A lift in engaged clicks  

When we look specifically at engaged clicks — a deeper measure of how headlines drive meaningful audience interaction — AI-assisted headlines once again come out on top.

A graph displaying the difference between average lift in engaged clicks between AI-assisted headlines and non-AI headlines, accounting for winning headlines only
  • Average engagement lift for winning headlines only:
    • AI-assisted experiments (where an AI-assisted headline won): 68%
    • Non-AI headlines (from non-AI-assisted experiments): 54%
A graph displaying the difference in average lift for engaged clicks for AI-assisted headlines and non-AI headlines, accounting for all completed experiments
  • Average engagement lift for all completed experiments:
    • AI-assisted experiments: 38%
    • Non-AI headlines: 7%

Our biggest takeaways on AI-assisted headlines

What does all of this data mean for publishers exploring AI in their workflows? At a high level, our findings suggest that the use of AI in headline generation is more than just a passing experiment — it delivers measurable gains in audience engagement. Here are the key takeaways from what we’ve learned about AI headline testing:

  • Stronger audience engagement: Early data shows that AI-assisted headlines contribute to a more engaged audience, with a 55% CTR lift compared to a 50% CTR lift with non-AI headlines. Moreover, experiments where an AI-assisted headline emerged as the winner saw an average engagement lift of 8%, compared to 3% in experiments without AI.
  • Value beyond the winner: Even when AI-generated headlines don’t win, there’s evidence that their presence has a beneficial impact. When examining all headline tests, AI-assisted experiments that tested AI headlines — whether or not they won — generated a 32% CTR lift while non-AI headlines generated a 6% CTR lift.
  • Growing adoption: Chartbeat customers are experimenting. We’ve seen the number of AI-assisted headlines double, indicating a larger shift in the industry towards this technology. 

See the impact of AI on your content’s performance — request a demo of Chartbeat Headline Testing today.