25 practical ways to detect AI-generated content:Google encourages the responsible use of AI to enhance content creation.
Here are 25 practical ways to identify AI-generated content, helping you distinguish between human writing and machine-generated text.
As AI tools become more advanced, detecting AI-written content requires a combination of manual checks and AI detection tools. By examining key factors such as tone, structure, coherence, and factual accuracy, you can spot subtle patterns that indicate AI involvement. AI-generated text often lacks natural human nuance, emotional depth, or contextual awareness, making it overly polished, repetitive, or slightly off in phrasing.
Why does it matter?
In a world where AI-generated content is everywhere, the ability to spot the difference between human and machine-written text has never been more important. Imagine reading an article that feels a little too perfect—flawless grammar, impeccable structure, yet something feels… off. Maybe it lacks the warmth of a human voice or the depth of real-world experience. That’s the challenge we face today.
AI is a powerful tool, but it can lead to misinformation, bland content, or even reputational damage when used without oversight. Businesses risk losing credibility if their audience discovers they rely on AI without adding authenticity and expertise. Search engines like Google are also watching—penalising sites that churn out low-value, AI-generated content without human insight.
Think about the last time you read something that truly resonated with you. Was it just the facts or the human touch—the real-life examples, the subtle humour, the emotional connection? That’s what AI often misses. By learning to identify AI-generated content, you can ensure that what you’re reading, sharing, or publishing is trustworthy, engaging, and valuable.
AI isn’t the enemy—it’s a tool. The key is knowing when and how to use it while ensuring that the final content remains human at its core.
This approach is especially useful when reviewing content that blends human and AI efforts, ensuring that the final piece remains authentic, engaging, and valuable to the reader. Below, we explore 25 specific techniques to help you refine your ability to detect AI-written content effectively.
- Repetitive Writing – Look for repetitive phrases or ideas; AI often overuses certain expressions.
- Formulaic Sentence Structures – AI writing tends to be stiff and relies on common phrases.
- Excessive Use of AI-Typical Words—Watch out for specific words, such as “crucial,” “delve, “and “AI-Typicalstry,” which are commonly used by AI.
- Inaccurate Facts and Claims – AI can confidently state wrong information without proper references.
- Monotonous Tone of Voice – Lack of personality or humour, with overly formal language.
- Use of AI Detector Tools – Tools like Surfer’s AI content detector can flag AI-written content, but they’re not foolproof.
- Generic Explanations Without Details – AI offers vague answers without specific examples or actionable advice.
- Unmet Search Intent – AI may fail to match the specific needs behind a search query.
- Lack of Subject Matter Expertise – AI content often lacks depth and real-world experience.
- Outdated Content – AI might provide obsolete or incorrect information.
- Absence of Personal Experience – AI writing lacks personal anecdotes or emotional insight.
- Unconvincing Storytelling – AI often struggles with logical flow or coherent narratives.
- Difficulty with Sarcasm – AI fails to use or detect sarcasm or humour properly.

- Contextual Understanding – AI can struggle with understanding the context, especially with complex or nuanced topics. It might generate text that seems disjointed or out of place, especially if there’s a shift in the topic without a natural transition.
- Lack of Emotional Depth – While human writers often incorporate empathy, emotion, or sentiment into their work, AI content tends to be more factual and devoid of emotional connection. You might spot a lack of genuine passion or excitement in the content.
- Overuse of Clichés and Buzzwords—AI content often relies heavily on clichés or buzzwords to sound engaging. Words like “innovative” or “leading-edge” are commonly used but usually don’t add value to the content.
- Lack of Nuance or Critical Thinking – AI-generated content might provide a one-sided view or fail to engage in critical analysis. Humans often consider multiple perspectives, challenge assumptions, or express doubts in their writing, whereas AI content may be overly confident in its conclusions.
- No Regional or Cultural Sensitivity – AI might miss local slang, regional variations, or cultural references integral to human writing. The content may sound too neutral, lacking the depth of a piece that reflects cultural or geographical knowledge.
- Inconsistent or Illogical Facts – AI can sometimes contradict itself within a piece or fail to provide consistent factual information. If a piece of content refers to multiple sources or concepts but doesn’t align with itself, it’s often a sign of AI’s inability to synthesise information fully.
- Lengthy Yet Empty Content—AI tends to generate long content that lacks substantial information. It can fill the space with repetitive points, vague summaries, or filler sentences that don’t add to the original query or search intent.
- Inability to Engage in Dialogue or Debate – AI struggles with interactive content or debate-style writing. If the content is part of a conversation or a detailed exchange of ideas, AI-generated pieces might not fully address counterarguments or dynamically develop ideas.
- Overly Structured or Formulaic Writing: AI-generated content often follows a predictable structure that may be too mechanical. While this structure can work for informational or instructional writing, it’s usually less effective for creative or opinion-based content.
- Lack of Visual Description or Rich Sensory Detail – AI-generated content tends to lack rich, descriptive language that engages the senses. For example, when describing a product, experience, or environment, AI might fail to provide the sensory details that make it feel authentic or immersive.
- Failure to Address Complex or Specialised Queries—AI-generated content may fail to address intricate or specialised topics. It might struggle to grasp complex industry-specific jargon or context, leading to overly general explanations or a lack of depth.
- Generic Call-to-Action (CTA) – Many AI-generated pieces end with generic or uninspired CTAs, such as “Contact us for more information,” “Learn more today,” or “Get started now.” These lack the human touch of a more personalised, compelling invitation or response.

Humanising AI Content
To ensure AI-generated content resonates with readers, it’s important to humanise it by:
- Injecting personal experiences, insights, and stories
- Adjusting tone to match the intended audience
- Ensuring all claims and statistics are accurate and up-to-date
- Refining the structure to improve flow and coherence
- Adding a touch of humour, sarcasm, or empathy when needed
- Ultimately, while AI can assist with content creation, it’s crucial to edit and enhance the writing to align with human expectations, create a deeper connection, and improve overall quality. Talk to us if you struggle to determine the best way to use AI.
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