How do you keep AI-generated visuals on brand?

Write down your art direction before anyone starts generating: colours, lighting, composition, what’s not allowed and how your products must look. Then treat every AI image as a draft that a designer checks and finishes. Pay special attention to product accuracy, text, people and usage rights. AI can help you explore and produce faster, but your brand rules decide what gets used.

Why AI visuals drift off brand

AI image tools are trained to produce something that looks good in general. Left to themselves, they lean towards a familiar style: glossy lighting, blue-purple tech gradients, perfect skin, busy backgrounds. Run ten prompts on ten different days and you’ll get ten different looks.

That’s the opposite of what a brand needs. Recognition comes from repetition, so the job is to narrow the tool down to your look.

Write art direction rules first

Keep these on one page that everyone using the tools can see.

Colour: your palette, with the exact colours, and how much of each to use.

Light: for example, soft side light, warm daylight, or high-contrast studio light. Pick one and stick to it.

Composition: how much empty space, where the subject sits, where headlines will go.

Texture and style: photographic or illustrated, matte or glossy, real materials or clean digital surfaces.

People: what kinds of people represent your customers, how they’re dressed, what they’re doing.

What’s banned: for example, robots, glowing circuit patterns, cartoon mascots, competitors’ colours.

Save a set of reference images that match these rules. Many tools let you use reference images, which helps keep results consistent.

Products must be real

AI tools will happily invent buttons, labels, logos and shapes. That’s fine for a mood board and a real problem in an ad.

If a product appears in the final visual, start from a real photo of it. Use AI for the background, setting or lighting, and have a designer composite the actual product in. Check every detail against the real thing before it goes out.

Rejected vs approved: what to look for

Reject an image if it has:

• A logo, label or product detail that’s wrong or slightly warped.
• Garbled text, especially in Bahasa Malaysia or Chinese characters.
• Hands, faces or bodies that look wrong.
• A generic tech look that doesn’t match your palette.
• Cultural details that are off, like the wrong festive decorations, clothing or food for Hari Raya, Chinese New Year or Deepavali.
• Anything that resembles a real person, a known artwork or another brand.

Approve it when:

• It matches your palette, light and composition rules.
• The product shown is real and accurate.
• Any text is added afterwards in design software, not generated in the image.
• It would sit comfortably next to your last ten posts.

Check the rights

Read the terms of the tool you’re using, especially on commercial use. Don’t prompt in the style of a named living artist or imitate another brand’s campaign. Don’t create images of real people without their permission. And never present an AI image as a photo of a real event, real customer or real result.

A workflow that keeps control

1. Agree the art direction page and reference images.
2. Build a small library of tested prompts that produce on-brand results.
3. Generate options for exploration, not final use.
4. A designer picks, edits and composites, using real product photos.
5. Add headlines and text in your design templates.
6. Check against the reject list above.
7. Get final approval from whoever owns the brand.
8. Save approved images and prompts for next time.

FAQ

Can AI images replace a photo shoot?

For backgrounds, concepts and some lifestyle scenes, they can reduce what you need to shoot. For your actual products, team and premises, real photography is still the honest and accurate choice.

Should we tell people an image was made with AI?

Some platforms label AI-generated content automatically, and some ad platforms have their own rules. Beyond that, be honest whenever it matters to the viewer. Never use AI images to show what a product, place or result really looks like if it doesn’t.

Can we generate the text inside the image?

It’s better not to. AI tools often misspell words or produce broken characters, especially outside English. Add text afterwards in your design software so it’s accurate and matches your brand fonts.

If you’d like AI visuals that still look like your brand, talk to Adxus. Here’s how we approach Design + AI.