Website and app traffic analytics help you understand what your visitors do, what content they like, and where they drop off. When you use this data to guide your blog on improving AI-generated text, you can make better, more helpful, and more human-sounding material.
Traffic analytics track what people do on your site or app. It shows how many people visit, how long they stay, and which pages they click on. These tools also tell you where people come from — like Google search, Instagram, or direct links.
Let’s say you used an AI to write a blog post. It may sound clear, but does it actually keep readers engaged? Traffic analytics help you answer that.
Here’s how you can use analytics to improve your AI-generated text:
Track Bounce Rates
If people leave your page quickly, the content may not be helpful or relevant. Use this as a signal that the AI text might need editing.
Look at Time on Page
If users spend just 5 seconds on a 1,000-word article, they’re not reading it. Your AI-generated text might be too long, confusing, or off-topic.
Use Scroll Data
Scroll maps show how far users go down a page. If 80% leave before the halfway mark, consider reworking the intro or using better subheadings.
Check Internal Clicks
If users don’t click on links within the content, the AI text may not be encouraging enough or might lack clear calls to action.
By combining these insights, you can rewrite or guide your AI tool to produce better, more engaging versions.
Once you see what isn’t working, here are a few steps you can take to improve your content:
AI tools like ChatGPT, Jasper, or Copy.ai can generate content fast. But they need human review — and analytics can guide that review process.
Try this approach:
This cycle ensures your content improves over time and becomes more helpful for real users.