AI image generation is the creation of images from text prompts or reference images using models such as Midjourney, Adobe Firefly, OpenAI’s image models in ChatGPT, Google’s Imagen and Gemini image features, Stable Diffusion and Flux. Moving it from experiments to production work needs four things settled first: usage rights, a brand style system, a review process and clear rules about what may never be generated.
The tools differ in ways that matter for businesses. Adobe Firefly is trained on licensed and public-domain content and is offered with commercial use terms aimed at enterprises. Midjourney is known for strong aesthetics and runs through its own web app. ChatGPT and Gemini handle image editing in conversation, which is useful for quick variations. Open models such as Stable Diffusion and Flux can run on your own hardware and be fine-tuned, but put more responsibility on your team.
Which marketing images suit AI generation?
The best fits are images where precision about a real object is not required.
- Concept visuals and mood boards for campaign planning.
- Backgrounds, textures and abstract illustrations for social posts and banners.
- Blog and article header images that illustrate an idea rather than a product.
- Variations for ad testing, such as different settings around the same product shot.
- Storyboards for video shoots.
Poor fits include exact product depictions, real people who did not consent, anything requiring accurate text, maps or diagrams, and images presented as documentary evidence. Generated hands, logos and lettering have improved, but still need checking.
Pilot checklist
Run a pilot of four to six weeks on one or two use cases.
- Choose one tool to start, based on the licence terms you need, not only image quality.
- Read the tool’s terms on commercial use, ownership of outputs and indemnity, and record the date you read them.
- Pick use cases with a clear comparison, such as stock photo spend or designer hours per social post.
- Write a first prompt library: subject, style, lighting, composition, colour palette, aspect ratio.
- Produce at least 30 finished images so you measure the workflow, not a lucky result.
- Log time per final image, including selection and retouching.
What legal and rights questions come first?
Copyright law around AI images is unsettled and varies by country. In the United States, the Copyright Office has said that purely AI-generated material without sufficient human authorship is not protected by copyright. That means a competitor may be free to reuse an image you generated. For key brand assets, such as logos and mascots, this is a strong reason to keep human design at the core.
Other checks matter as much. Do not prompt with living artists’ names to imitate their style, do not generate real people without permission, and avoid trademarked characters and logos. The EU AI Act includes transparency requirements for synthetic content, and platforms such as Meta, TikTok and YouTube have their own labelling rules for AI-generated media in ads and posts.
How do you keep generated images on brand?
Without a style system, every person on the team produces a different look, and the brand feed starts to resemble a stock library.
Write a visual style sheet for prompts
Define the elements in words: colour palette with names, preferred lighting, camera angle, level of detail, what to avoid. Turn these into a base prompt everyone appends to.
Use reference images and style controls
Most tools now accept reference images for style or composition. Midjourney has style references, Firefly supports style and structure references, and open models can be fine-tuned on approved brand imagery. Store approved references in one shared folder.
Finish in design software
Treat generated output as raw material. Typography, logos and final colour correction should happen in Photoshop, Figma or a similar tool, so they are exact.
Production review checklist
- Check anatomy, hands, text, reflections and object counts at full size.
- Run a reverse image search on hero images to catch close copies of existing works.
- Confirm the image does not show a real person, brand or place in a misleading way.
- Apply the platform’s AI label where required and keep a record of the tool and prompt.
- Export with descriptive file names and write alt text that describes the image, not the prompt.
- Keep content credentials (C2PA metadata) where the tool provides them.
How Alien Road applies AI image generation
In a typical engagement our graphic design team adds AI generation to the existing design workflow rather than replacing it. Discovery reviews the client’s current image needs: volume per month, channels, stock photo spend, and which assets must remain fully human-made.
Setup includes choosing a tool with suitable commercial terms, writing the visual style sheet and base prompts, collecting reference images, and agreeing a labelling and record-keeping rule with the client’s legal or brand team.
Measurement compares cost and turnaround per finished image with the previous process, and checks ad and social performance of generated versus photographed or illustrated creative where both run. Monthly reporting includes a contact sheet of approved images, so the client sees whether the look is staying consistent.
How do you store and reuse what works?
Keep a shared library of approved images with their prompts, tool, settings, reference images and approval date. When a campaign needs a fresh variation, the team starts from a known result instead of from scratch. Tagging by campaign, channel and aspect ratio makes the library searchable. Remove images when licences or brand guidelines change.
What should never go to production?
Some categories stay off limits regardless of tool quality: images implying a product feature that does not exist, fake customer photos or testimonials, generated “before and after” images, and anything depicting real events that did not happen. These are misleading advertising risks under consumer protection rules, not just brand questions.
Where to start this week
Pick one recurring need, such as blog header images, and write a five-line style sheet describing the look you want. Generate ten images for upcoming posts using the same base prompt, then show them side by side to two colleagues without telling them which is which against your last ten stock photos. Their reactions, plus the time each image took, tell you whether a pilot is worth running.
Keep reading: Graphic Design · AI Marketing