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Why Generic AI Content Hurts SEO
AI has made content creation ridiculously easy.
You can open a tool, type a prompt like “write me a 1000 word SEO blog about landscaping,” and have a complete article sitting in front of you before your coffee cools down. That sounds efficient.
The problem starts when businesses confuse faster content creation with better content marketing.
Generic AI content often looks fine on the surface. It has headings. It has keywords. It sounds professional. It might even score well in an SEO plugin. Yet none of that guarantees it will rank, attract the right visitors or convince someone to choose your business.
In fact, publishing large amounts of generic AI content can work against your SEO strategy. The issue is not simply that AI wrote it. The issue is that the content often has very little reason to exist.
Google Does Not Automatically Penalize AI Content
This is important to get out of the way first.
Using AI to help create content is not automatically bad for SEO.Google’s policies focus much more heavily on the quality and purpose of the content than on whether an AI tool was involved in creating it.
Where businesses can get into trouble is when AI is used to generate large amounts of content primarily to influence search rankings, particularly when those pages provide little original value for readers. Google describes this as scaled content abuse and specifically includes using generative AI to produce many pages without adding meaningful value for users.
So the question is not “Did AI help write this?”
The better question is “Does this page deserve to rank?”
What Does Generic AI Content Actually Look Like?
Generic AI content is not always obviously bad. The part of the problem is that it often sounds perfectly reasonable.
You have probably read articles that start with something like: “In today’s fast-paced digital landscape, businesses need to stay ahead of the competition.” Then comes a broad introduction, five predictable headings, a conclusion telling you that the subject is important, and very little that you did not already know.
Technically, there is nothing terribly wrong with it. There is just nothing particularly useful about it either.
Generic AI content tends to share a few characteristics:
- Broad statements instead of specific insights
- Information that could apply to almost any company
- Predictable examples
- No first-hand experience
- Little original research
- No real perspective
- Repetitive language
- Vague recommendations
- Surface-level answers to complex questions
If 100 businesses asked an AI tool the same basic question, they could end up with 100 slightly different versions of essentially the same article. Now, we have an SEO problem.
Generic AI Content Adds Very Little New Information
Search engines already have enormous amounts of content to choose from. Another article explaining that “SEO helps improve online visibility” is not exactly breaking new ground.
For content to perform well over time, it usually needs to contribute something genuinely useful and unique that is more personalized. If your article contains the same general information as the ten pages already ranking above you, there is very little incentive for a search engine to replace those results with yours.
AI Content Often Lacks First-Hand Experience
This is one of the biggest weaknesses of generic AI writing. Imagine you are comparing two articles about renovating a commercial office.
The first article says:
“Consider your budget, project timeline and design goals before beginning your renovation.”
Reasonable advice.
The second says:
“One of the most common problems we see during commercial renovations is businesses budgeting for construction but forgetting about electrical upgrades, signage changes and downtime during the move.”
That feels different. Why?
Because it sounds like it came from someone who has actually been involved in the work. First-hand knowledge creates specificity, which in turn creates credibility. AI can help communicate your experience, but it cannot invent genuine experience on your behalf. Your team has to bring that part to the table.
Generic Content Makes It Harder to Build Authority
Strong SEO is rarely about ranking one page once. Businesses that perform well in organic search typically build authority around the subjects they actually know.
That means creating a useful collection of pages that demonstrate knowledge, experience and relevance. Generic content makes this harder because it does not clearly communicate why your business is qualified to speak about the topic. There is a big difference between technically covering a subject and showcasing expertise.
A plumbing company publishing an article about frozen pipes should be able to discuss what its technicians actually encounter. A dentist writing about emergency dentistry should be able to explain how patients are assessed and what typically happens next. This helps to make the content unique and more useful for readers.
Generic AI Content Can Weaken Your Brand Voice
SEO is not just about getting someone onto your website. You still have to do something with that attention. This is where a lot of AI-generated content falls flat.
If your website sounds like every other business in your industry, it becomes harder for people to remember you. You might have a distinct personality when someone walks into your office, meets your team or talks to you on the phone. Then they visit your blog and read:
“At ABC Company, we are committed to delivering exceptional solutions tailored to your unique needs.”
Suddenly you sound like every company on the internet.
AI often defaults toward safe, polished and generic language. That is useful when creating a starting point. It is not always useful when building a brand. Good content should sound like someone from your company might actually have written it.
Publishing More Content Does Not Automatically Improve SEO
This is where AI can create a false sense of progress. Before AI, writing 20 blog posts required a significant amount of time. Today, those 20 posts can be generated surprisingly quickly. That can make businesses feel as though they are dramatically increasing their SEO efforts.
Surely that means more rankings? Not necessarily.
Google’s spam policies specifically address large-scale content creation where the primary objective is manipulating search rankings rather than helping users. The policy applies regardless of whether the pages are created by AI, humans or a combination of the two.
Twenty weak articles are not automatically more valuable than three excellent ones. Sometimes they simply create twenty more pages Google has little reason to rank.
Generic AI Content Can Miss Search Intent
Using the right keyword is only part of SEO. You also need to understand why someone is searching.
Take a phrase like “website design cost.” The person searching probably does not want a 1500-word history of web design.
They likely want to know:
- What’s the approximate pricing range
- What affects the cost
- What is included
- What makes a website more expensive
- How long the project takes
- What they should consider before approaching a website design company
A generic AI article might technically cover the keyword while completely missing what the person actually needs. That is why SEO still requires research and judgement.
You have to understand the intent behind the search, then build the page around helping that person make progress.
AI Can Also Produce Inaccurate or Invented Information
AI tools can produce information that sounds completely confident and happens to be completely wrong. That is not ideal when your company name is attached to it.
Even a seemingly harmless mistake can weaken trust. If AI says a product launched in 2025 when it actually launched in 2024, that might seem minor. If your website repeatedly contains incorrect details, customers and search engines have less reason to view it as a reliable source.
Human review is not optional. It is a must to ensure accurate content is published for your target audience to benefit from.
AI Can Encourage Keyword-First Content Instead of Customer-First Content
There is another trap many businesses fall into. They start with a list of keywords, and then they ask AI to create one article for every keyword.
The result might look something like:
“Kelowna Website Design”
“Web Designer Kelowna”
“Website Designer in Kelowna”
“Best Web Design Company Kelowna”
Suddenly, the website is full of pages saying essentially the same thing.
That is not much of a content strategy. Good SEO starts by understanding the topics and questions that matter to customers. Keywords help identify those opportunities. They should not dictate your entire website structure.
Sometimes several similar keywords belong naturally on one strong page, while sometimes a single keyword does deserve its own article. That is a strategic decision and should not be left to AI to decide automatically.
So, Should You Avoid AI for SEO Content?
No. AI can be incredibly useful for SEO.
We use it too.
It can help with:
- Content research
- Topic development
- Outlines
- Keyword organization
- Competitor analysis
- First drafts
- Headline variations
- Content repurposing
- Editing
- Summarizing information
- Identifying gaps in an article
The mistake is handing AI the entire content strategy and publishing whatever comes back. AI should accelerate the work, not eliminate the thinking.
How to Make AI-Assisted Content Better for SEO
If you are using AI to create content, there are a few ways to make the final article much stronger.
Add First-Hand Experience
Include what your company actually sees. Talk about common customer questions, problems, misconceptions and situations your team encounters.
Those details make the article harder to replicate.
Use Real Examples
Instead of saying something vague like “every business is different,” explain how.
Show scenarios, compare options, walk readers through the decision-making process. Examples always make abstract advice more useful.
Include Original Perspectives
Your business probably has opinions. Use them!
You might believe one solution is often overused. You might recommend that customers prioritize one feature over another.
Write for a Person, Not Just a Search Engine
One of the best tests is surprisingly simple. Ask yourself: would we still publish this article if Google did not exist?
Would a customer actually find it useful? Would you send it to someone who asked you this question? Would your sales team use it as a resource?
If yes, you are probably creating something worthwhile. If the only reason the article exists is because a keyword has search volume, you may want to rethink it.
Good Content Should Be Hard to Copy
Here is another useful test. Could one of your competitors copy your article, replace your company name with theirs and publish it tomorrow?
If the answer is yes, the article probably needs more of you in it.
Your strongest content should include things that competitors cannot easily duplicate: your experience, your process, your examples, your customer insights, your perspective and your expertise. AI can help turn those ideas into content faster. It cannot create those ideas for you.
The Real Problem Is Not AI
AI is not ruining SEO. Generic content is.
AI has simply made generic content much easier to produce, which means businesses need to become more selective about what they publish.
A blog should not exist because you needed something to post this week. It should answer a real question, help someone solve a problem, explain something better, show what your business knows or give potential customers information that helps them make a decision.
At Hiilite, we use AI where it makes the marketing process faster and smarter. We still believe people need to provide the strategy, experience and judgement behind it.
Want to create content people actually want to read, and Google has a reason to rank? Just Say Hii.
