All AI blog content is the same, and it’s all crap

AI-written content has a signature: over-structured, over-polished, and written by nobody in particular. It all sounds the same because it is the same, and it is doing less for your business than you probably think.

You can usually spot AI-written content within a couple of sentences. The spelling is fine, the grammar is fine, and the structure is often tidy enough. Nothing is obviously broken, which is part of what makes it so irritating. It reads like writing, but it does not quite feel written.

The problem is not always that the content is badly put together. Quite often, it is put together too neatly. Every paragraph behaves. Every point arrives in the expected place. The article moves politely from one safe observation to the next, but there is no sense of a real person behind it. It feels arranged rather than written.

That is where a lot of AI content gives itself away. It uses the shape of an article without having much of an article inside it. You get the introduction, the supporting points, the soft conclusion and the general impression that something useful has happened, but when you stop and ask what it actually said, the answer is usually not much.

It tells you that websites should be easy to use. It tells you that branding should be consistent. It tells you that blog posts can help with search visibility. None of this is wrong, which is part of the problem. It is all so safely correct that it becomes useless. There is no judgement in it. No opinion. No useful detail. No sign that the person writing it has ever had to deal with the messy reality behind the advice.

A real person with experience writes differently. They know where things usually go wrong. They know which bits of best practice matter and which bits are mostly theatre. They can tell you that the homepage probably does not need seventeen calls to action, that nobody wants to read your mission statement before they know what you do, and that “modern and professional” is not a brief. That kind of detail matters because it comes from actually doing the work.

This is what generic AI content usually lacks. Not information, but perspective. Information is everywhere. Perspective is harder. Perspective comes from seeing what happens when a plugin update breaks a checkout, when analytics have been set up badly for three years, when a client thinks traffic is the problem but the real issue is that the website does not give anyone a reason to enquire.

You can see the same problem in the tone. AI content often sounds confident, but not experienced. It sounds helpful, but not involved. It gives advice from a safe distance. There is no sense that anyone has opened the broken website, found the bodged plugin, untangled the tracking mess or had the awkward conversation about why the client’s favourite idea is probably the weakest part of the page.

That distance is what makes the writing feel empty. It can describe the shape of knowledge, but it cannot always carry the weight of having learned something the hard way. It knows how advice usually sounds, so it produces something that resembles advice. What it often misses is the part that makes the advice worth reading: the practical judgement behind it.

The reason this has become so common is not complicated. A lot of web content was already bland before AI arrived. Agencies, SEO farms and rushed marketing teams have been publishing optimised but empty articles for years. Many of those articles ranked, not because they were especially useful, but because they ticked enough boxes. They had the right keywords, the right headings, the right length and enough generic advice to look legitimate.

AI tools have learned from that material. Ask one to write about web design, SEO, branding or small business marketing, and it will often produce something that sounds similar to thousands of other posts on the same subject. That would be less of a problem if those posts were any good. Most of them were not. They were already saying the same safe things in the same safe order, with the same polished little transitions between them.

The result is a loop. Generic content gets published, tools learn from it, more generic content gets produced, and businesses publish that too because it looks finished and fills a gap on the website. Each round gets a little smoother, a little safer and a little less attached to anything a real person wanted to say.

For small businesses, that matters more than people sometimes realise. A blog should show that someone is actually there. It should give the reader some sense of how you think, what you notice, what you care about and what you have learned. It does not need to be wildly personal, and it does not need to turn every post into a diary entry, but it should sound like it came from a person who has taken responsibility for the words on the page.

That responsibility matters because most small business websites are asking for trust. The reader is trying to work out whether you know what you are doing, whether you are likely to be difficult to deal with, whether you understand their problem and whether you are any different from the next result in Google. Bland content does not help with that. It makes the business feel absent from its own website.

This is where people sometimes defend AI content by saying it saves time. It probably does. So does sending the same invoice to every client regardless of what they bought. The question is not whether AI can produce words quickly, because it clearly can. The question is whether those words are doing the job the business thinks they are doing.

A blog post is not useful because it exists. It is useful because it says something worth reading. It might explain a common problem clearly. It might save someone from making a poor decision. It might challenge a lazy assumption. It might show the reader that the person behind the business has been around long enough to know what matters and what is just noise.

That does not mean AI has no place in the process. That would be a lazy argument, and not a very honest one. AI can be useful for planning, checking structure, summarising notes, tightening a draft or helping you get past a blank page. Used properly, it can act like a tool. The problem starts when the tool becomes the writer and the business owner disappears from the work.

That disappearance is what readers notice. Maybe not immediately, and maybe not consciously, but they notice when a piece of writing has no personality to it. They notice when an article answers the question without sounding like it came from someone who knows the answer. They notice when every sentence has been polished so smooth that there is nothing left to hold on to.

Good human writing does not need to be rough. Rough is not the same as honest, and badly written does not automatically mean human. Good writing still needs structure, clarity and editing. The difference is that the structure should serve the thought, not replace it. The editing should sharpen the point, not sand off every trace of the person making it.

That is what AI content often gets wrong. It does not know what to leave out because it does not really know what it means. It can produce more words, more examples and more polite transitions, but more is not the same as better. Sometimes the most useful thing a writer can do is stop adding and start deciding.

Your blog does not need to sound like a publishing operation. It does not need to compete with every bland advice article already on the web. It needs to sound like you know what you are talking about. That means being specific. It means saying what you actually think. It means letting the reader see the difference between you and the next person selling the same broad service.

If your content could sit on any competitor’s website without anyone noticing, it is not doing much for you. It might fill a gap, it might give Google something to crawl, and it might make the blog page look less neglected, but it is not building trust. Trust comes from the sense that someone real is behind the business, paying attention, making decisions and willing to say something that is not just copied from the average of everyone else.

That is why I have started blocking sites where this stuff is obvious. Not because I am making some grand moral stand against AI, and not because I think every use of it is automatically worthless. I just do not see the point in reading content where nobody seems to have been present when it was made. If nobody really wrote it, there is usually not much there to read.

Hello!

I’m Paul

I help independent businesses and creatives build websites, shape clear content and manage hosting that actually works in the real world.

Whether you're starting fresh or need help improving what’s already there, I offer honest, straightforward support to help your online presence grow - and keep growing.

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