You just generated a visual with AI. It looks fine, but something holds you back before you hit publish. Is this image actually professional? Does it respect your brand? Without design training, it is hard to tell.
Good news: you do not need a designer’s eye to evaluate an AI visual. You just need to know where to look. In this guide, you will find the concrete criteria to check, the technical flaws to spot, and a quick checklist to validate any visual in under two minutes.
Why Judging AI Visuals Has Become Essential in Business
Judging an AI-generated visual without being a designer comes down to simple criteria: common sense, purpose, and legibility. You do not need to master Photoshop or know the principles of graphic design. What you need is a clear method to identify what works and what does not.
Teams are creating more and more AI visuals without going through a designer. That makes sense: the tools are accessible, fast, and built for scale. Our article on visual creation for marketing and comms teams covers how the job is changing. But that autonomy comes with responsibility.
A poor-quality or off-brand visual can damage your credibility. Picture a LinkedIn post with your logo distorted, or a recruitment visual that is off brand. Your audience will notice, even unconsciously, and start questioning how serious your brand is.
The Visual Criteria to Check on an AI-Generated Visual
Even without design training, you can evaluate a visual against objective, observable criteria. The goal is not to become an expert, but to build a critical eye based on concrete checkpoints.
Text and typography rendering
Text remains the first indicator of quality in an AI visual. Generative models struggled with characters for a long time, producing blurry, malformed, or entirely invented letters, and even recent models still slip on long words or unusual typefaces.
Check that every word is legible, that letter spacing is consistent, and that characters show no distortion. If the text looks approximate, that is an immediate red flag.
Consistency of shadows and lighting
Every shadow in an image should fall in the same direction, since they come from the same light source. It is a simple principle, but AI sometimes forgets it.
Check that lighting is uniform across the whole visual. If one object casts a shadow to the left while another casts one to the right, you have a consistency problem.
Perspective and geometry
AI can create perspective inconsistencies that are subtle but unsettling. Lines that do not converge correctly, objects that seem to float in space, or a rendering that looks too flat are common signs.
Look at the background elements: tables, walls, windows. Does everything line up logically?
Anatomy and proportions
Generated people and objects can show unrealistic proportions: an arm that is too long, a physically impossible posture, a gaze heading in two directions at once.
Take a few seconds to study the subjects in your image. Does everything look natural? If something makes you uncomfortable without being able to explain why, trust your instinct.
Originality and the absence of a generic style
You have probably already seen that recognizable AI look: too smooth, over-saturated colors, a slightly plastic feel. It is not technically incorrect, but it has become so common that your visual risks blending into the crowd.
How to Spot the Technical Flaws in an AI Image
Beyond general criteria, certain technical flaws show up frequently in AI-generated visuals.
Visible artifacts and distortions
An artifact is an unintended visual distortion: a blurry patch, a stray pixel, a texture that seems to melt into another. These flaws often appear at the edges of subjects, in transition areas between two elements, or on fine details.
Zoom in on your image. What looks fine at first glance can reveal problems on closer inspection.
Background and context inconsistencies
Backgrounds are often overlooked, and yet that is where current models get it wrong most. Look for elements that partially disappear, objects cut off illogically, patterns that repeat abnormally, and questionable joins between two planes.
If the background is the problem and the subject is good, changing an image background is often faster than regenerating everything.
Anatomical details
Hands and faces remain sensitive areas, even though recent models handle them far better than two years ago. Three points are enough:
- Number of fingers: count them, five per hand.
- Facial symmetry: are the eyes, ears, and nose correctly aligned?
- Natural gaze: are the eyes looking in a coherent direction?
Unreadable text and distorted logos
If your visual contains text or a logo, check that both are correct before publishing. AI often generates invented characters that look like words without being any, or logos that are unrecognizable.
Never have AI generate your logo. Add it manually after generation.
How to Evaluate an AI Visual Against Your Brand Guidelines
A visual can be technically perfect and still be wrong for your brand. It is a common trap: you approve the image because it looks good, without checking that it respects the company’s visual identity.
Brand colors
Check that the colors in the visual match your brand guidelines. A simple shift in hue can hurt brand recognition, especially if you publish visual content regularly. Our guide on how to change the colors in a visual explains what to do when the gap is fixable.
Fonts and typography
If the visual contains added text, use your brand’s official fonts. AI does not know your guidelines: this check has to be done manually, or by using a tool that applies your brand elements automatically.
Tone and visual style
Your brand has a visual personality: professional, dynamic, understated, creative. Does the generated visual reflect that identity? Compare it with existing visuals from your brand.
Graphic elements and logo
If your logo needs to appear on the visual, never have AI generate it. Add it manually after generation, respecting the clear space defined in your guidelines.
