The Real Cost of AI Content: Why “Cheap Content” Often Becomes Expensive

Why AI content needs human oversight

Google’s March 2024 core update was built to push low-quality, unoriginal content further out of Search. Google first estimated a 40% reduction, but later reporting put the final figure at 45% less low-quality, unoriginal content appearing in search results.

With businesses now also needing to optimise for AEO and GEO, human oversight has become even more relevant. Content does not just need to rank in traditional search results; it also needs to be clear, useful and credible enough to appear in AI-generated answers and other answer-led search experiences. That means raw AI output cannot simply be published and left to perform. To stay competitive, businesses need to review, refine and strengthen AI-assisted content so it demonstrates accuracy, originality, expertise and genuine value to the reader.

The risk does not stop with search engines. Audiences are getting better at spotting AI-generated copy. In Bynder’s study of 2,000 UK and US participants, 50% correctly identified AI-generated content. When asked how they felt about reading copy they suspected was AI-generated, 52% said they would feel less engaged.

The brand impact is harder to ignore. The same study found that 26% of people felt website copy seemed impersonal when it did not read as human-written, while 20% said it made the brand look lazy. For social media copy that appeared AI-generated, 20% said it made the brand feel untrustworthy.

This is where the real cost starts to show. A business may save time by leaning heavily on AI output, but that saving can be quickly outweighed if the content weakens trust, lowers engagement or leaves the site more exposed to search visibility issues. Over time, those softer signals can feed into harder metrics, including traffic, leads and revenue.

With an estimated total of up to 350 million companies worldwide, more than 300 million businesses are already using or considering AI across their operations, and that number is likely to keep rising. As AI-generated content continues to flood the internet, standing out becomes harder and distinctive, useful content becomes more valuable.

That does not mean generative AI has no place in the creative process. Used well, it can support research, ideas, structure and first drafts. The problem comes when raw AI output is treated as the finished product. AI content still needs human judgement, editing, evidence, brand understanding and a clear point of view. Without those differentiators, it risks becoming exactly the kind of content audiences and search engines are learning to filter out.

Optimising your use of AI in your content

AI can support content production, but its output should not be treated as the final version. Before publishing AI-assisted content, review it with the same care you would apply to any other page on your website. The goal is not to erase every trace of AI involvement, but to make sure the finished piece feels accurate, useful and unmistakably aligned with your brand.

Look for:

• Overly smooth, generic or formal language: AI-generated copy can sound polished without sounding human. It may lean on phrases that feel too broad, too corporate or too detached from the way your business actually speaks. The result is content that could belong to any brand, rather than something shaped around your audience, services and tone of voice.
• Repetition: check for repeated phrases, sentence patterns or ideas. AI tools often return similar structures across headings, paragraphs and bullet points, which can make a page feel flat. Repetition can also give the impression that the content is circling the same point instead of moving the reader forward.
• Incorrect or outdated facts: every statistic, claim, date and technical detail should be checked. AI can produce confident statements that are wrong, old or missing context. This creates risk when the content covers subjects where accuracy affects trust, such as legal, financial, technical or medical information.
• Weak references: review every citation before publishing. AI tools can create fake sources, broken links or references that do not support the point being made. A source should verify the specific claims made in the copy, and it is not enough to simply check that it exists.
• A lack of human detail: strong content should include nuance, examples, experience and a clear point of view. If the copy feels like it could sit on any competitor’s website, it needs more human input. Add details that reflect your business, your customers, your process or the questions your team hears in real conversations.
• Polished but empty content: some AI copy reads well at first glance but says very little. Look for sections that use a lot of words without answering a specific question, adding insight or helping the reader make a decision. These sections often need to be cut back, rewritten or replaced with more practical information.
• Unsupported emphasis: check for words such as “essential”, “crucial” or “vital” when the copy does not explain why the point matters. AI-generated content often tells the reader something matters without showing the practical reason, consequence or value behind it. Replace this with specific detail that lets the reader understand the weight of the point without being told how to feel.

The strongest AI-assisted content usually comes from a controlled process: use AI to support research, planning and drafting, then rely on human review to sharpen the message, check the evidence and add the judgement that automated tools cannot provide.

Final thoughts

AI is not going anywhere. It is becoming a larger part of day-to-day business operations, content workflows and decision-making across almost every industry. While it may be tempting to trust AI-generated output from the outset to save time, publishing unchecked content can create problems further down the line - from alienating your audience to weakening trust, engagement and search visibility.

That does not mean businesses should avoid AI altogether. Used well, it can speed up research, support planning and help teams produce content more efficiently. The difference comes down to how it is used. Businesses that treat AI as a tool rather than a replacement for human judgement are far more likely to create content that feels useful, distinctive and credible.

The strongest results usually come from combining AI efficiency with human input. By curating, refining and challenging AI-generated output, businesses can streamline their processes while still producing content that connects with readers and reflects the standards of their brand.

Need help with on-page content creation? Get in touch!

At I-COM, we don’t just use AI to create content faster - we use it smarter.

Our content generation process combines AI-powered efficiency with human creativity, SEO expertise and careful editorial oversight. The result? High-quality, search-focused content that is faster to produce, sharper in execution and built to perform.

We help brands improve visibility across SEO, AEO and GEO, making content work harder across Google, answer engines and generative AI search. From landing pages and blogs to ecommerce copy and content strategies, we create content that responds to real user intent and supports commercial growth.

AI can speed things up. I-COM makes sure it still sounds human, ranks well and delivers value.

Interested in smarter content generation, SEO, AEO or GEO services? Get in touch with I-COM.

Call us on 0161 402 3170 or use our contact form to speak to the team.