This is a summary of an article originally published on Banana Thumbnail Blog. Read the full guide for complete details and step-by-step instructions.
Overview
This article explores chatgpt with practical tips and real-world examples.
Key Topics Covered
- Chatgpt
- Image
- Prompts
- Mistakes
- Killing
Article Summary
All right, Dr. Morgan Taylor here again. So we got a situation where everyone and their grandmother is trying to crank out images with AI, but most of them are sputtering out before they even leave the garage.
I was looking at the numbers the other day. Honestly, it’s wild, which means we’re talking about ChatGPT image prompts generating something like 700 million images since the big March 2025 upgrade. That is a lot of pictures. But here’s the thing—about 50% of those images are failing to hit their clicks (CTR) benchmarks.
It’s like trying to run a high-performance engine on low-grade fuel. It’s tool that makes it possible. You just aren’t gonna get the power you need. I’ve spent a lot of time under the hood of these AI tools and I see the same mistakes happening over and over. You think you’re asking for a masterpiece, but you’re actually asking for a generic mess that people scroll right past.
So today, we’re going to go over the five biggest mistakes I see people making with their ChatGPT image prompts and, more importantly, how we’re going to fix them so you can get those clicks back up.
First off, let’s talk about the most common issue I see coming into the shop. It’s vague descriptors.
You know when a customer comes in and says, “My car is making a noise”? That doesn’t help me fix it. I need to know if it’s a clunk, a hiss, or a grind. It’s the same with ChatGPT image prompts. If you just type “cat picture,” you’re leaving way too much up to the AI’s imagination.
According to some tests I’ve seen from Chad Wyatt’s 2025 report, vague descriptors reduce visual relevance by 47%. That means nearly half the time, the AI is giving you something that doesn’t even match what you actually needed because you weren’t specific enough. Think about that. I mean, think about it—if you’re a casual user just messing around, maybe that’s fine. But if you’re trying to get clicks, irrelevance is a killer.
I’ve found that the AI needs you to be the director. It’s 5 that drives results. You can’t just be a spectator. When you leave out the details. the texture, the mood, the specific setting (the AI fills in the blanks with the most average, statistically probable data it has. And “average” doesn’t get clicks.
(To be transparent…)
Now, let’s go under the hood and look at something a lot of folks ignore: aspect ratios.
So, you got this honestly impressive image, right? But you generated it as a square because that’s the default. Then you try to slap that onto a YouTube thumbnail or a mobile ad, and what happens? It gets cropped, it looks weird, and the framing is all off.
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Source: Banana Thumbnail Blog | bananathumbnail.com
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