AI-generated images and copy on your website: how to keep the brand distinct
, Updated , 8 min read
Quick answer
Can we use AI-generated images and text on our website without making the brand generic?
Yes. AI-generated images and copy can go on a website without making the brand generic, as long as the brand makes the decisions and AI does the production. Generic inputs return the average of everything a model has seen. Research shows the risk: Doshi and Hauser (Science Advances, 2024) found AI-assisted stories more similar to each other, and a 2025 study commissioned by Raptive found trust fell by nearly 50 per cent when content felt AI-made. At IW Agency, we hold that three things keep AI content distinct: rules, references and review, with a person who has taste signing off.
Can we use AI-generated images and text without making the brand generic?
Yes, as long as the brand makes the decisions and AI does the production. Generic content comes from generic inputs. Ask a model for "a modern hero image" or "a friendly product description" and it returns the average of everything it has seen. Your competitors get the same average.
Research on creative writing shows the same pattern. In one experiment, writers given ideas by a language model produced short stories rated more creative and better written. But "generative AI–enabled stories are more similar to each other than stories by humans alone" (Doshi & Hauser, Science Advances, 2024).
That study covers fiction, not marketing copy. It still works as a warning. Each piece gets better while the whole field converges.
Some have started calling this blandification. When every company uses the same models with the same defaults, their communication becomes polite, competent and interchangeable (IW Adore You, 2026).
At IW Agency, we see three things that keep AI content distinct: rules, references and review. Rules tell the model what your brand is. References give it your own material to work from. Review means a person with taste signs off.
Conclusion: AI averages. Your brand is the part that isn't average.
Why does generic AI content cost more than it saves?
Generic AI content costs trust, and people withdraw it whether or not a machine made the content. In a study commissioned by Raptive, 3,000 US adults read articles written by people and by AI. Trust fell by nearly 50 per cent when an article felt AI-generated, even when it wasn't.
The damage reached the ads as well. Purchase intent and willingness to pay a premium dropped 14 per cent for products advertised alongside that content (Raptive, reported by Adweek, 2025).
Images carry the same risk. Getty Images' report Building Trust in the Age of AI found that 98 per cent of consumers see authentic images and video as essential to trust. It also found that people view brands less positively when those brands use AI to create people or products (Getty Images, 2024).
We think this changes the maths. Cheaper production is worth little if the page makes people trust you less.
Conclusion: Cheap content gets expensive when it costs trust.
What do you need in place before you start?
You need a brand defined clearly enough to brief a machine. If your team can't say in one sentence what makes you different, a model won't guess it.
A brand platform with a stance, an audience and a clear difference. See what a brand platform includes.
A written tone of voice with traits, examples and banned words. A tone of voice that works for people and AI is built for exactly this job.
A design system that fixes colour, type, composition and photography style. A brand design system turns taste into rules.
A named owner who can say no.
We treat this as Strategy and Design work before it becomes a tooling decision. With Nordic Nest, the brief was to turn Designonline.com from a generic online shopping platform into a premium brand experience (the Nordic Nest case). Deciding what makes a brand distinct comes first. Production comes after, whether people or AI do it.
How do you write AI brand guidelines a model can follow?
Write the guidelines as instructions with examples, because models follow demonstrations better than adjectives.
Most brand guidelines were built for people to interpret. A model can read a 40-page brand book, but that gives it information, not a structure it can apply consistently across tasks and channels (IW Adore You, 2026).
Translate traits into rules.
"Warm" becomes "speak as we to you, no exclamation marks".
"Confident" becomes "open each section with a stance".
Show good and bad.
Pair each rule with one sentence that follows it and one that breaks it.
List what to avoid.
Include banned words and clichés.
Add visual tropes, such as glowing gradients and stock smiles.
Package the guidelines for reuse.
Store them as small, focused files on positioning, voice, terminology and guardrails, not as a PDF in a drawer.
Keep one source of truth that every tool draws from. Update the positioning once, and every prompt picks up the change (IW Adore You, 2026).
We find one sharp rule beats a page of mood. "Never call a product innovative; say what it does" changes the output immediately. For how this fits into shared workflows, see AI in marketing: from tools to systems.
How do you keep AI images on brand?
Start from your own visual material, and use AI to extend it rather than replace it.
Feed it references.
Use your own photography, palette and compositions as input images, not text prompts alone.
Choose the jobs carefully.
Backgrounds, textures, crops, format variants and seasonal scenes carry little risk.
Avoid generating people or your actual products. That is where Getty found people view brands less positively.
Protect your distinctive assets.
Logos, packaging, characters and signature colours come from master files, never from a model. Distinctive brand assets only work if they stay exact.
Set a disclosure policy.
Getty's report finds that people expect transparency, especially in healthcare, financial services and travel. Decide your policy before anyone asks.
Here is the difference in practice. A prompt for "family at breakfast" gives you the sunlit kitchen every competitor gets. Your own breakfast shoot, extended into 10 formats, gives you something only you own.
How do you keep AI copy in your brand voice?
Let AI draft and structure, and let people write the lines that carry the brand.
Brief with substance.
Give the model your facts, your stance and your source material. A thin prompt returns filler.
Draft, then cut.
Remove the warm-up paragraphs, the hedges and the strings of adjectives that models default to.
Keep the signature lines human.
Headlines, taglines and opening sentences set the voice. Write them yourself.
Run the swap test.
Put a competitor's name on the page. If it still fits, rewrite it.
We think AI is good at the middle of a page and weak at its edges. Product specs, FAQs and translations belong to the middle. The line a reader remembers sits at the edge.
Conclusion: AI writes the middle. People write the edges.
How do you know AI content is working for the brand?
AI content is working when people recognise the brand without the logo, and production speeds up without reviewers rewriting everything.
The swap test passes on every new template.
Edits shrink month on month as the guidelines improve.
Outsiders can't spot the automated pages when you ask them to.
Assets stay exact. Colours, logos and packaging match the master files everywhere.
Conclusion: If it could be anyone's, it isn't yours yet.
What does this mean for your brand?
Define before you generate. The platform, voice and design system come first.
Make guidelines machine-readable. Write rules with examples, and store them where every prompt starts.
Generate around your assets, not instead of them. Never let a model draw your logo, your product or your people.
Keep people on the lines that matter. Headlines and openings set the voice.
Measure distinctiveness, not volume. More pages that look like everyone else's is not progress.
Frequently asked questions
Will customers notice AI-generated content on our website?
Many customers will suspect content is AI-generated whether it is or not. Raptive's study, reported by Adweek in 2025, found that trust fell by nearly 50 per cent when an article felt AI-made, even when a person had written it.
Should we label AI-generated images?
You should set a clear disclosure policy and follow it. Getty Images' 2024 report found that nearly 90 per cent of consumers want transparency on AI images. Expectations are highest in healthcare, financial services and travel.
Can AI write in our tone of voice?
Yes, AI can write in your tone of voice if that voice is documented as rules with examples. Adjectives alone produce generic copy. Keep headlines and key lines with a human writer.
Does generic content affect how AI assistants describe our brand?
We think generic content gives AI assistants nothing distinct to repeat. A clear stance and specific answers help more. See how your brand shows up in ChatGPT.
Keep the speed, keep the brand
AI makes production cheaper. It does not make choices. Brands that decide clearly what they are can use AI at scale and still look and sound like themselves.
If you want to talk about building AI into your brand work, write to us at hello@iwagency.com.
Sources
IW Agency is a Stockholm brand agency working across strategy, design, communication, digital experience and innovation. Founded in 1992 as Identity Works.
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