5 AI Writing Mistakes That Completely Defeat the Purpose of Using AI
It feels like we´re still in a transitional period when it comes to AI generated content. AI is supposed to make content faster, clearer, and more effective. Yet in practice, much of what’s produced with AI achieves the opposite – more words, more revisions, more meetings, and sometimes less impact.
The problem isn’t the technology. It’s how it’s being used. When AI is treated as a shortcut rather than a tool, it quietly defeats the very purpose it was meant to serve.
This article breaks down five common AI writing mistakes that waste time, harm results and generally make the tech counterproductive.
In my opinion, the expectation for many business owners was that generative AI content would flood their sites with traffic. In reality, most AI-assisted content underperforms because its published without the correct direction, context or editorial judgement. A lot of that content tends to be coherent but generic.
If this resonates with you, don’t worry – you are not alone and reading this will help.
This article breaks down the most common mistakes when using AI for written content creation, and, more importantly, how to correct them so AI stops being so generic.
The promise and reality of AI‑generated content
AI systems can draft coherent sentences, but Google’s ranking systems still reward original, high‑quality pages that demonstrate experience, expertise, authoritativeness and trustworthiness (E‑E‑A‑T).
Using AI is technically fine, in fact Google uses AI‑generated transcripts for sports scores and weather reports. However, using automation primarily to manipulate rankings violates spam policies. I can usually spot AI generated stentence structures within the first sentences, and that’s just me – a mere mortal. Google can and does do a much better job. Successful AI content therefore, depends on human judgment and clear editorial standards. You can read more about Google´s stance here.
Mistake 1: Treating AI as a ranking shortcut
Many marketers view AI as a quick way to fill websites with words. Google’s helpful‑content guidance discourages this: pages that merely summarise others or are mass‑produced across many topics tend to be low quality.
Content that is created primarily to attract visits from search engines (rather than to serve an existing audience) is a red flag. In practice, leaders should be asking who the content serves and whether there is genuine first‑hand expertise to justify it.
Mistake 2: Skimming the surface of topics
AI models excel at synthesising existing information, but they often deliver thin coverage. Google’s quality guidelines encourage creators to provide substantial, complete descriptions that offer insights beyond the obvious.
Shallow pages lack the comprehensive detail, analysis and examples that senior buyers need to make decisions. Aiming for depth signals subject‑matter authority and differentiates your site from commoditised content.
Mistake 3: Ignoring user intent and context
AI‑powered search can interpret long, conversational prompts, yet users still struggle when the system misreads their needs. Nielsen Norman Group research shows that many people don’t know how to prompt effectively; AI chatbots allow natural language queries but often misalign with the task at hand.
In usability tests, participants searching for plumbing advice found that generative AI provided answers for underground pipes when they needed help with an exterior leak, forcing them to iterate multiple queries and leaving them frustrated. This happens because the model lacks the lived context your subject‑matter experts possess. When AI output isn’t reviewed and corrected, pages become generic responses that leave visitors unsatisfied – exactly the scenario Google warns about.
Mistake 4: Copying without adding value
This is probably the easiest place to go wrong! This also goes for people who spend a lot of time perfecting their prompts, then hastily publish the results.
Search quality raters flag pages that “repackage” content from higher‑quality sites with little originality or added value. Content created with low effort, low originality and low added value, including simple republished lists or reposted social content, earns a Low rating (ref).
Relying on AI to paraphrase existing articles or assemble links without commentary produces exactly this kind of filler. To avoid this, ensure every article contributes a unique perspective or new information – ie something only you or your team can provide.
Mistake 5: Neglecting structure and clarity
Enterprises often treat readability, plain language and accessibility as separate checklists; however, according to Siteimprove’s research, integrating these disciplines stops cognitive load (overloading your readers), boosts task completion and improves SEO performance.
Readability is not about dumbing things down – its something that measures how hard someone has to work to process your text.
Long sentences, jargon and weak headings force decision‑makers to expend energy that they often are unwilling to invest. Clear headings, descriptive titles and concise paragraphs help AI summarisation and human readers alike.
How to make AI content work for you
- Focus your content strategy on people’s needs. Use Google’s people‑first checklist to vet topics: do you have an audience that would benefit directly? Can you demonstrate first‑hand experience? If not, reconsider writing the piece.
- Invest in depth and originality. Encourage subject‑matter experts to annotate AI drafts with commentary, case studies and examples that aren’t available elsewhere. Strive for comprehensive coverage and clear analysis.
- Align content with search intent. Before publishing, verify that the article actually answers the questions your target buyers are asking. AI chat is helpful in exploring variations, but human review is absolutely critical to ensure the piece matches user goals.
- Edit ruthlessly for clarity. Adopt plain‑language principles to reduce cognitive load; unify readability, accessibility and design as one system. Descriptive headings and tight paragraphs enable both AI assistants and busy executives to extract the main points quickly.
- Use AI as a tool, not an autopilot. Automation can accelerate drafting, but quality still depends on human judgement. Google explicitly states that AI‑generated content is acceptable when it is original and people‑first. Treat AI output as a first draft to be reworked, not as a finished product.
AI will continue to play a growing role in content production. That much is inevitable. What isn’t inevitable is poor quality, thin coverage, or misaligned pages.
Sustainable online growth comes from pairing automation with human judgment – clear editorial standards, subject matter expertise, and ruthless clarity about who the content is for and why it exists.
Used well, AI speeds up thinking. Used badly, it just disconnects you from your audience.
Teams that treat AI as a drafting assistant, not an autopilot, will be the ones that benefit. The rest will simply publish more pages that look busy and achieve very little.
Need a hand?
At Somuna, we´re all about growth through doing things the right way.
John Anderson helps businesses to get found online and appeal to customers through understanding their needs and communicating solutions clearly.
