How to keep AI images on brand: a practical guide
AI image tools are fast and almost right. Here is how to close the gap between close enough and on brand, with or without a dedicated tool.
By The Wonib team
Open any feed and play a game: cover the logos and guess the brand. With most AI images you can't. They are well lit, well composed and completely anonymous.
Most AI images fail in the same quiet way. Nothing is wrong with them, yet nothing about them is yours. The blue is a cousin of your blue. The light is the light of a stock library. The people look like they work somewhere else.
That gap matters more than it seems. A reader decides in a second whether a post is from you, and they decide it from colour, light and type before they read a word. So the question is not whether AI can make an image. It is how to make it make your image, every time.
Start with what "on brand" means for pictures
Brand guidelines usually describe logos and colours well and photography badly. "Bright, authentic, diverse" describes most of the internet. For an image to be on brand, someone (or something) has to know:
- Which colours appear, and where. Not just the hex codes, but the role of each: the accent that may appear on one object, the neutral that fills walls and desks, the colour that never appears in a photograph at all.
- How the light falls. Window light from one side, warm and soft? Studio light, even and cool? This single choice does more for recognition than any filter.
- Who is in the picture and what they are doing. Real work in real places, or posed portraits. The age, setting and dress that fit your customers.
- What never appears. Floating holograms, glowing brains, robots shaking hands. Write the list down.
If you can describe these four things in a paragraph each, you can brief a photographer, a designer or a model. If you cannot, no tool will guess them.
Write the prompt in the brand's words, not the model's
Prompts that read like a pile of keywords ("4k, ultra realistic, cinematic, trending") pull every brand towards the same glossy average. A better prompt reads like a brief:
A product marketer at a wooden desk by a window, reviewing printed layouts with a colleague, late-morning light from the left, a single green notebook on the desk, nothing on the screens.
Notice what it does. It names the scene, the light, the one place the brand colour may appear, and what to leave out. That is the shape of a good image brief whoever reads it.
Check every image against the brand before anyone sees it
Speed is where brands drift. When an image takes ten seconds, nobody checks it as carefully as one that took a day. Make the check a step, not a feeling:
- Colour. Does the brand colour appear only where it should? Is anything off-palette pulling the eye?
- Light and mood. Would this sit beside last month's images without looking like a different company?
- People and setting. Are these your customers, in places they would actually work?
- Relevance. Does the image say the one thing the article or post is about, or is it decoration?
- The rules. Nothing from the never list. No unreadable fake text, no distorted hands.
If an image fails one check, change the brief rather than regenerating blindly. The same brief will usually fail the same way.
Keep a record of what you approve
Every approval teaches you something: you prefer wider crops, warmer light, fewer people. Write those decisions down next to the guidelines, so the next brief starts from them. Over a few weeks this record becomes the most useful part of your brand book, because it is built from real choices rather than intentions.
Where Wonib fits
This is the loop Wonib is built around. It reads your brand once from your website or brand book (the colours with their roles, the typefaces, how your photographs look, how you sound), makes the image in that brand, and checks it against the brand before you see it. When you approve something, or ask for a change, it remembers that for the brand. For a blog, it reads the article first and proposes three concepts, each checked for relevance to the article as well as the look.
You can do all of this by hand with any good image tool and a disciplined checklist. A tool simply makes the discipline the default.
Try it on your own brand
The fastest way to see the difference is to compare. Take your last five images, write the four-paragraph photography brief above, and make one new image from it. Then put it beside the old ones. If you want to see Wonib do it from your website, start a free day: no card, and the first image comes from your own brand.
Questions people ask
Can I train an AI image tool on my brand?
Most tools don't retrain a model for you. They steer each image with a description of the brand and, sometimes, reference pictures. That is why the description matters so much: the roles of your colours, the light, the people, and the never list.
Why do my AI images all look the same as everyone else's?
Prompts built from style keywords ("4k, cinematic, trending") pull every request towards the model's average look. A prompt written like a photographer's brief pulls it towards yours.
How many reference images should I use?
A few approved images that share the same light and palette beat a large, mixed folder. Consistency in the references becomes consistency in the results.
