GPT-image-1 has just gained 17% usage, challenging the leaders in AI image generation. We are not surprised; we have been experimenting and building AI Image generators into our automation workflows, and GPT-image-1 is your best choice at the moment.

A key reason for this surge in use can be seen from the side-by-side image comparisons generated from identical prompts in our AI-enabled workflows. 

GPT-image-1 outperforms the other generators by a country mile when accurately rendering text within images.

In a B2B context, integrating text and images is particularly important. Unlike more stylised image generation outcomes, B2B often requires text as a vital supporting element to effectively convey a message, which can be challenging with images alone.

Three reasons why text in images matters

As part of integrating image generation into our workflows, text in images are crucial in several use cases. One important application is for the Open Graph image displayed when an article or blog post is shared, more on that below. This image is often the most visually appealing part of the shared content, and we have observed a significant increase in click-through rates when a concise text overlay is present, informing viewers about the content.

1 ) Impact on Click-Through Rates

Studies show that implementing strategic text overlay techniques can increase click-through rates by up to 300%. This is a dramatic improvement, and we need an image generation model that is very good at text rendering as a critical feature for B2B content.

For social media specifically, different text overlay styles yield varying engagement rates. On LinkedIn, image ads with text overlays like memes achieve CTRs of 1.5 %+, while fake conversations reach 1%+-both significantly outperforming the platform's average 0.6% CTR for image ads.

2) Open Graph and Social Sharing Performance

Open Graph meta tags control how URLs display when shared on social platforms, transforming standard blue links into rich objects with images, headlines, and descriptions. These enhanced previews, call it open graph seo, significantly increase CTR compared to standard links, as users receive immediate context about the content they might click on.

Email marketing data further validates this approach, with campaigns featuring images showing a 42% higher click-through rate than those without images. When combined with appropriate text overlays, images become even more powerful engagement drivers.

3) Text-Image Interplay in B2B Communications

The text-image relationship has always been especially valuable in conveying complex information in a B2B context. When text and images work symbiotically, they create balanced and professional content that appeals to business audiences. 

Examples showing the differences between AI Image Models

All the images in the comparisons were created using exactly the same prompts; the only differences were how we needed to convey aspect ratios and output formats. All were connected to our make.com workflow for three specific use cases: a cover image, a thumbnail, and an open graph image. Finally, in these examples, we have used a trained assistant with a set graphic style, which can be tuned to any brand identity.

Google's Imagen 3.0 attempts to integrate text. It comes close, but small mistakes creep in, immediately creating more work.

Midjourney is probably a non-starter other than for the cover image as it does not handle text at all, and its lack of API access is a significant hindrance. Its typical uses are within a more stylistic, artistic environment. As a result, if you were to use it (and we have used it in the past), it would not be straightforward to embed text in the images. You would have to add extra steps to the workflow to ensure that the images from Midjourney do not contain any text, and then add that text using some form of post-production automation.