So I’ve been deep in a HubSpot content refresh project, and it gave me the perfect chance to run a proper test. We needed a batch of new blog post headlines, and I was curious: could Copy.ai actually hold up against our seasoned human writer for something as nuanced as click-through rates?
I used the same core brief for both: target audience, primary keyword, and value proposition. I generated about 15 options from Copy.ai using its “Blog Titles” tool, and our writer crafted 5. We then A/B tested the top 3 from each source across a series of LinkedIn ads and email campaigns for a month, tracking CTR as the main metric.
Here’s the interesting part: the human-written headlines won overall, but not by a landslide. The best human headline had a 4.2% CTR. The best Copy.ai headline pulled a 3.8%. Where it got fascinating was in the long tail—Copy.ai produced some truly bizarre combos that flopped (<1% CTR), but it also generated a few unexpected, slightly formulaic-yet-effective angles that the human hadn't considered. It was great for brute-force ideation.
My takeaway? It's a solid ideation partner, especially when you're stuck. The output needs a strong human editor to filter out the generic stuff and refine the tone for your specific brand voice. It won't replace a good writer, but it definitely accelerated our process. For anyone using it, I'd say lean into it for generating raw options, but always plan to test and tweak. The data doesn't lie! Has anyone else run similar head-to-head tests? I'm curious if your results line up.