Why generic AI content is quietly killing brand trust.

AI has made content production faster than ever, but trust has declined with it. Recent data by Klaviyo show that among 60% of consumers who use AI weekly, only 13% trust it.

Also, Meltwater study showed that 32% trust brands less when they know AI is used to create content, while only 15% say it adds to their trust in the brand. This obviously shows you how much trust you might be losing or gaining as a brand.

The article didn’t start as an opinion but as a question: How does AI-generated content change the way people perceive brands?

To answer that, I studied six Reddit conversations where users discussed their reaction to AI content. I reviewed expert commentary on LinkedIn from marketers actively testing AI workflows. I also analyzed SERP patterns around content quality, trust, and engagement.

What emerged was not whether AI is good or bad. It was something more uncomfortable, and that is;

“Brands are not losing trust because they use AI but because their content is starting to look the same, and audiences are noticing.” Read on to find out how generic content may be affecting how your audience perceives your brand. 

TL;DR

• AI-generated content doesn't provide value because it lacks genuine input, knowledge, or experience.  

• Consumers can differentiate between AI-generated content and content that has genuine input.

• AI-generated content is often accurate. However, it is likely that your content is more of the same, and therefore it cannot build trust.

• Search engines also reward content written by real people who have the experience, expertise, and knowledge to write the content.

What is generic AI content?

Generic AI content is content made with AI that sounds the same as every other piece of content by repeating ideas that people have already seen many times before.  

Personally, I don’t think AI is the problem. A lot of writers and marketers use AI to research, plan, and edit content. The issue is that brands let AI do all the work without adding a human touch to it.

The result is content that lacks real stories, opinions, examples, and human insight. It sounds like it was created for everyone, but it connects with no one.

Generic AI content is not always wrong, but it is easy to forget. And when your audience can’t differentiate your voice from other brands, it’s easy to forget your brand too.

If readers feel that your content is just the same as others on the internet, they won’t see your brand as trustworthy or worth coming back to.

What happens when a brand keeps publishing content that people forget?

After analyzing Reddit conversations, top LinkedIn expert opinions, and reading through user experiences and concerns, I was able to streamline the reasons why generic content kills brand trust to 5. Let's look at them. 

1. Generic content signals a lack of real experience

Let's assume that you've been buying the same drink for years because you enjoy its unique taste, different from other options on the shelf.  

Then, you try two other drinks from competing brands. To your surprise, they taste the same, so your loyalty starts to weaken.

The original drink is not bad, but because you realized there was nothing unique about it after all. What you thought was special turned out to be something everyone else could make.

Some of the world's strongest brands know how important this is. Companies like Coca-Cola and KFC built lasting brands because they created something different. Their products showed experience with recipes that competitors couldn't copy.

Content works the same way. Your audience wants you to show that you have done the work. They want to hear lessons from projects you have managed, mistakes you've made, challenges you've overcome, and what you have learned.  

This is where generic content falls short. AI can gather information from thousands of sources. But it cannot share the observations, results, and lessons that come from doing the work yourself.

I also noticed this in the Reddit conversations I analyzed. Many users expressed frustration with content that sounds correct but shows that the writer hasn't experienced what they were discussing. 

2. It prioritizes volume over value. 

For years, content marketing was just about publishing more to rank more.

If you could produce more blog posts, target more keywords, and appear in more search results, your traffic will increase.

Today, that approach is not that effective anymore. The use of AI has reduced the cost and time needed to create content. Every day, many articles are published on the same topics, in different ways.  

However, readers do not consume content because they enjoy increasing someone's page views. They consume content because they have a problem to solve.

Yet many brands have fallen into the trap of publishing for algorithms rather than people. The result is what many marketers now call content factories. These are systems that produce content at scale but don’t guarantee authenticity.

During my research across Reddit discussions and industry conversations, I noticed a shift from volume to depth. People are no longer attracted to brands that publish every day. They are more attracted to brands that consistently provide value.  

This shift matters in this time of SEO and GEO. Search engines and AI platforms are there to help users. If your content doesn't help people, it becomes hard to build trust and long-term visibility.

3. Audiences are becoming better at detecting generic content

The average internet user may not know how large language models work. They may not know the difference between human-written and AI-assisted content. They may never be able to explain Google's ranking systems or content quality guidelines.

But they know when the content is off. They know when they've read the same article five times from five other pages. And they know when content feels like it was written to rank rather than provide value.

One of the most interesting findings from my research was that audiences have developed what I would call a "generic content radar." Users described AI-generated content as lacking emotions.   

As audiences read more AI-generated content, they also get better at knowing what it sounds like. The more generic your content is, the easier it is for audiences to group you with every other brand.

And if your content sounds like everyone else's, trust is difficult to earn.

4. Generic content weakens engagement and brand recall

Think about the last article you shared with someone, saved, or talked about with a friend.

Chances are, it wasn't because the article said something you already knew. It was because it shared something like a story you can relate to or disclaimed a popular belief.

The content we remember is not the one that repeats ideas but the one that makes us think, feel, or see differently.

This is where generic content struggles. Because it comes from existing information, it naturally uses safe conclusions and popular opinions. 

As a result, it is hard for readers to remember where they read something or who said it. And if people cannot remember your content, they will not remember your brand.

Generic content rarely sparks conversation because there is nothing new to discuss. It struggles to build trust because there is no emotional connection with a content that sounds exactly like everything else online.

5. It undermines the trust signals that search engines reward

I have noticed that many brands create generic content to improve visibility. Yet the systems they are trying to satisfy don’t reward generic content anymore.

According to Google's quality framework, it emphasizes four key trust signals: Experience, Expertise, Authoritativeness, and Trustworthiness, often referred to as E-E-A-T.

Each of these signals can't be seen through generic content. A generic article can summarize what others have said, but it doesn’t show personal experience. While it can repeat industry best practices, it doesn’t show expertise. It can get traffic, but it rarely builds the authority that comes from originality, which builds trust.

This is one of the reasons why brands like Ahrefs and Semrush continue to attract loyal audiences. They publish content that they have tested with data, case studies, and real-world experience.

As search engines keep on changing, content quality is now tied to trust signals that are hard to automate. Generic content struggles to provide that proof, which is exactly why it struggles to build trust with both readers and search engines.

Conclusion

AI-generated content is easy to read, but in most cases, the information that is communicated is not memorable and untrustworthy. People have become more picky about the content they consume and are actively searching for original and honest content. 

Although real human content is established through personality, engagement, and experience, AI can support the creation of real human content by providing structures in the forms of outlines and drafts but should not be relied upon to do all the work.

If you enjoyed this and want to know more about this topic, get in touch with Mercy via a message on LinkedIn or leave her a comment below!