How to Write a Better AI Image Brief

What a good AI image brief should do

An effective brief tells the model what the image is for, who it is for and what must be visible. It should reduce guesswork without overloading the prompt with conflicting instructions. Think of it as a creative specification rather than a full script.

For marketers and content creators, the goal is usually not a perfect artistic masterpiece. It is a usable image that fits a channel, supports the message and looks consistent with the brand. That means your brief should cover the elements that have the biggest impact on output:

• Subject - what the image is primarily about
• Setting - where the scene takes place
• Composition - how the image should be framed
• Lighting - the mood and exposure
• Style - photographic, illustrative, editorial, 3D, and so on
• Colour - brand palette, contrast or muted tones
• Aspect ratio - the layout needed for the channel
• Exclusions - what should not appear
• Brand context - tone, audience and campaign purpose

Tools such as Intelligent Assistant can help you draft and refine these prompts in one workspace, which is handy when you are testing variations for different formats. The key is still the same: give the model enough detail to steer it, then review the result for accuracy, voice and suitability before publishing.

Start with the subject: be clear about the main focus

The subject is the anchor of the prompt. If the subject is vague, the output will often drift into generic stock imagery. If it is too crowded, the image can become cluttered or confusing.

Use a simple subject statement first, then add qualifying details. For example:

• Weak: a business team
• Better: three marketing colleagues reviewing performance charts at a desk
• Stronger: three marketing colleagues in a modern office reviewing a digital dashboard on a laptop, mid-discussion, focused expressions

If the image needs to support a specific message, include the action or emotion. A prompt for a finance article could ask for “a small business owner checking cash flow projections on a tablet” rather than simply “business person with tablet”. That extra detail helps the model avoid bland or irrelevant compositions.

Decision point: if the subject is central to the content, be precise. If the image is decorative or atmospheric, keep the subject simpler so the model has room to create a believable scene.

Define the setting so the image feels intentional

The setting gives context and prevents the image from feeling pasted together. It tells the model whether this is a studio shot, an office scene, an outdoor lifestyle image or a conceptual background.

Good setting details often include location type, environment, time of day and any relevant props. For example:

• Office setting: a bright open-plan office with glass walls and natural daylight
• Home setting: a tidy kitchen workspace with a laptop, notebook and mug
• Outdoor setting: a city rooftop at golden hour with soft skyline blur
• Studio setting: clean neutral background, minimal props, product on a pedestal

If your content is for a specific sector, the setting should support that sector’s reality. A prompt for healthcare should not accidentally produce a generic startup office. Likewise, a SaaS landing page may benefit from a clean, controlled workspace rather than an overly busy lifestyle scene.

Tip: if the setting is important to your message, state it early in the prompt. Models often respond strongly to the first few cues.

Use composition to control the layout

Composition determines how the viewer reads the image. It affects whether the scene feels like a portrait, a banner, a product feature image or a background element.

When writing an AI image prompt, think in terms of framing and visual hierarchy. Useful composition cues include:

• Close-up for detail, texture or emotion
• Wide shot for setting, team scenes or background use
• Rule of thirds for balanced editorial layouts
• Centered composition for product shots or symmetrical hero visuals
• Negative space on the left or right for adding copy later
• Foreground subject with blurred background for clarity and depth

For example, if you are creating a blog header with headline text, you might ask for “a woman analysing campaign results on a tablet, subject positioned on the right, clean negative space on the left for overlay text”. That is far more useful than a general description with no layout instruction.

Decision point: if you plan to add text in design software later, build in negative space deliberately. If the image stands alone, composition can be more dynamic.

Guide lighting to shape mood and credibility

Lighting is one of the most powerful ways to influence tone. It changes whether the image feels premium, dramatic, calm, corporate or editorial. It also helps the model produce more coherent scenes.

Common lighting instructions include:

• Soft natural light for friendly, everyday content
• Bright studio lighting for clean commercial visuals
• Golden hour for warmth and aspiration
• Low-key dramatic lighting for contrast and mood
• Even diffused light for product or instructional content

For instance, “a consultant presenting a strategy update under bright, even office lighting” will produce a very different feel from “a consultant presenting a strategy update in soft evening light, with subtle shadows and warm highlights”.

Be careful not to combine lighting instructions that clash. “Bright daylight” and “dark cinematic shadows” can pull the model in opposite directions unless the contrast is intentional. If you need a clean marketing asset, keep the lighting simple and commercially realistic.

Choose a style that matches the job

Style tells the model what visual language to use. It can be photographic, hyper-realistic, editorial, illustration, flat vector, 3D render, sketch-like or mixed media. The right choice depends on where the image will be used and what your audience expects.

Examples:

• Photographic: suitable for thought leadership, service pages and lifestyle content
• Editorial: useful for magazine-style blogs or authority-led articles
• Illustrative: helpful for conceptual topics that are hard to photograph
• 3D render: often works well for tech, product ideas and abstract systems
• Minimal vector: good for diagrams, explainer assets and modern brand systems

If you are working on a brand with established visual rules, mirror those rules in the prompt. You might specify “clean editorial photography with restrained composition” or “simple flat illustration with bold shapes and limited detail”.

Decision point: use a style that supports comprehension, not just visual flair. A highly stylised output may look attractive but still be unsuitable if it obscures the message or feels off-brand.

Specify colour with enough detail to be useful

Colour is often overlooked, yet it can determine whether the image feels aligned with your brand or completely unrelated. You do not always need exact hex codes in the prompt, but you should describe the palette in practical terms.

Useful colour cues include:

• Brand colours: navy, teal and white
• Temperature: cool tones, warm tones or neutral tones
• Contrast: high-contrast, low-contrast or muted
• Accent use: a single bright accent colour against a neutral background

For example, “muted blues and greys with one accent of coral” is more useful than simply saying “nice colours”. If your brand uses a restrained palette, say so directly. If the image is for a campaign page, you may want stronger colour blocking to create energy and help the asset stand out in feeds.

Be mindful that colour should support readability. Overly busy palettes can make a visual hard to use in layouts that need text overlays or interface elements.

Set the aspect ratio before you generate

Aspect ratio is a practical detail that saves time later. The same concept may need different formats for a website hero, a LinkedIn post, an Instagram story or a banner ad. If you do not specify the ratio, you may get an image that looks good in one place but is unusable elsewhere.

Typical choices include:

• 1:1 for square social posts
• 4:5 for vertical social feeds
• 16:9 for blog headers, YouTube thumbnails and widescreen banners
• 9:16 for stories, reels covers and mobile-first creative

When using Intelligent Assistant for image generation, it helps to decide the destination first. That makes prompt refinement much more efficient because you are not trying to rescue the framing afterwards.

Decision point: if the image must work across several channels, create a master prompt and then refine variants for each aspect ratio. Do not force one composition to fit every format.

Use exclusions to avoid predictable mistakes

Exclusions are just as important as inclusions. They help prevent unwanted objects, awkward anatomy, irrelevant text and visual clichés from appearing in the output. This is especially useful when you already know what tends to go wrong.

Common exclusions include:

• No text if you want a clean background
• No watermark or logo artifacts
• No extra hands or fingers if the model often struggles with people
• No cluttered desk if the scene should feel premium
• No unrealistic gadgets if the image needs to stay believable

For example: “A product manager reviewing sprint progress on a laptop in a modern office, clean composition, soft natural light, muted blue palette, 16:9, no visible logos, no text overlays, no cluttered background”.

Exclusions are particularly helpful when generating images for brand use, where even a small detail can make the asset unsuitable. If you are unsure what to exclude, look at the most common issues in your previous outputs and write those down as standard prompt rules.

Bring in brand context so the result feels on-message

Brand context is the part of the brief that turns a generic image into a useful marketing asset. It tells the model who the audience is, what the image should communicate and how it should feel in relation to the wider campaign.

Helpful brand context includes:

• Audience: startup founders, HR teams, ecommerce managers, technical buyers
• Tone: trustworthy, optimistic, premium, approachable, expert
• Use case: homepage hero, onboarding article, email header, paid social creative
• Message: efficiency, growth, simplicity, resilience, innovation

For example, a fintech brand may want a visual that feels secure and credible, with calm lighting and a disciplined composition. A creative agency may prefer a more expressive image with bolder colour and looser framing. Both are valid, but the prompt should reflect the difference.

This is also where human review matters. Even a visually strong image can miss the mark if it does not reflect brand voice, product truth or audience expectations. Review the result before publishing and check whether it accurately supports the message you intended.

A practical workflow for writing better prompts

Rather than building the prompt from scratch every time, use a repeatable workflow. This reduces guesswork and makes prompt refinement much faster.

1. Define the use case. Decide where the image will appear and what job it must do.
2. Write the subject. State the central person, object or scene.
3. Add the setting and composition. Clarify location and framing.
4. Layer in lighting, style and colour. Match the visual tone to the brand.
5. Set the aspect ratio. Choose the final format before generating.
6. Add exclusions. Remove anything likely to cause problems.
7. Review and refine. Adjust based on what the model actually returns.

With a workspace like Intelligent Assistant, you can keep these prompt versions together, compare outputs and refine the brief without rebuilding it every time. That is especially useful when you need multiple approved variations for a campaign or content batch.

Good prompts are iterative. The first result is a starting point, not the finish line.

Example prompts you can adapt

Below are a few practical examples showing how the same structure can be adapted for different needs.

Example 1: Blog header for a marketing article

A digital marketing manager reviewing campaign performance on a laptop in a bright modern office, subject on the right, clean negative space on the left for headline text, soft natural light, realistic editorial photography, muted blue and white palette, 16:9, no logos, no clutter, no text in the image.

Example 2: Social post for a SaaS feature launch

A sleek 3D render of a productivity dashboard floating above a minimalist desk, centred composition, cool studio lighting, modern tech aesthetic, dark navy with cyan accents, square format, no brand marks, no surrounding clutter, no small unreadable UI text.

Example 3: Concept image for a leadership article

A confident team leader speaking to a small group in a glass-walled meeting room, wide shot, soft diffused daylight, premium editorial style, warm neutral palette with subtle blue accents, 4:5 vertical crop, no exaggerated gestures, no visible screen text.

Notice how each prompt answers the same basic questions, but in different ways. That is the real skill behind how to write an AI image prompt well: matching specificity to the channel and the brief.

How to refine without overcomplicating the prompt

Refinement is about improving clarity, not stuffing in more adjectives. If the output is too generic, add one or two concrete details. If it is too busy, remove anything non-essential. If it keeps making the same mistake, use a sharper exclusion or reposition the most important instruction earlier in the prompt.

A useful rule is to change only one or two variables at a time. For example:

• First, fix the subject and setting
• Then adjust composition for better layout
• Then tune lighting or colour if the mood is wrong
• Finally, add exclusions for repeated visual errors

This keeps prompt refinement measurable. If you change too many elements at once, you will not know which instruction improved the result.

Also remember that AI-generated images can still misrepresent facts, brand details or product features. If a visual is meant to support a claim, confirm that the claim is true and that the image does not imply something inaccurate. For business use, the safest approach is to treat the output as a draft asset that still needs human review.

Final checklist before you publish

Before using an AI-generated image in live content, check the following:

• Does the subject match the article, campaign or offer?
• Is the setting believable for your audience?
• Does the composition work in the final layout?
• Is the lighting and style consistent with the brand?
• Are the colours appropriate for the channel?
• Is the aspect ratio correct?
• Have you excluded obvious problems such as text artefacts or logos?
• Have you reviewed the image for factual accuracy, brand voice and overall suitability?

If you can answer yes to all of those, your brief has probably done its job. The best image prompts are not the longest ones; they are the ones that help the model produce a result you can confidently use after a proper review.