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    Can You Spot AI-Generated Content? Recognising Patterns and Making Your Content Sound More Human

    Uncover the secrets of spotting AI-generated content. Learn strategies to keep your content fresh and engaging.

    Anonymous
    6 min read5 November 2024
    Spotting AI-generated content

    AI Snapshot

    The TL;DR: what matters, fast.

    AI content often uses formulaic language which can make text sound generic.

    Recognizing common AI patterns, like overused buzzwords or vague expressions, helps in creating authentic content.

    Customizing content with specific examples and avoiding overused phrases strengthens reader connection and engagement.

    Who should pay attention: Content creators | Editors | Marketers

    What changes next: Debate is likely to intensify for AI's role in authentic content creation.

    Spotting AI-generated content can be particularly straightforward when you know the common patterns to look for. AI-generated content often relies on repetitive, formulaic phrases, making it easy to identify. Buzzwords and filler language reduce engagement and can make content feel impersonal. Using too many transitional and generic statements dilutes authenticity and trust.

    Customising content with specific examples and avoiding overused phrases creates stronger connections.

    Can You Spot AI-generated Content?

    Artificial intelligence is reshaping content creation, offering speed and scale but occasionally at the cost of authenticity. Recognising common AI language patterns is becoming essential, as formulaic phrases can make text sound generic. In this article, we’ll explore how to spot these patterns and share strategies to keep content fresh and engaging, giving it a truly human touch.

    Why Recognising AI-Sounding Language Matters

    For professionals in writing, marketing, and strategy, understanding these language patterns can transform how they engage audiences. The issue isn’t with AI itself but with how certain language choices create a “default” AI tone. This often gives readers a sense of being spoken at rather than being spoken to, which can erode connection and reduce engagement.

    Identifying AI language Through Recognisable Patterns

    AI writing tools often streamline content creation with structured language, yet this leads to certain words, phrases, and sentences that feel familiar—and not always in a good way. Here’s a breakdown of some of the most recognisable phrases and suggestions for making content more genuine.

    1. Overused Buzzwords and Phrases

    AI-generated content is often littered with impressive-sounding industry buzzwords that lack substance and sound repetitive. These include:

    "Revolutionise," "Transform," or "Next-generation","Cutting-edge" or "State-of-the-art","Leverage" and "Optimise","Game-changing"

    Such words aim to be impactful but often feel empty. Replacing them with specific, concrete language improves readability and credibility, avoiding the impression of a polished but hollow message.

    1. Vague or Redundant Expressions

    Some AI phrases aim to create flow but can feel redundant and overly polished, including:

    "Ultimately," "All in all","It’s important to note","It is worth mentioning"

    These expressions often pad out content without adding value, making readers feel as though they’re getting “filler” instead of real insight. Keeping sentences lean and purposeful can significantly improve the reader experience.

    1. Overly Polished Transitional Phrases

    AI tools often rely on polished transitional phrases, which link ideas but can feel formulaic. Phrases like:

    "Consequently," "Furthermore," and "Additionally"

    are useful in moderation but can quickly make content sound mechanical. Instead, try using informal links or even questions to guide readers naturally through ideas, enhancing engagement and making content flow more naturally.

    1. Generic Sentence Starters

    AI-generated content often begins sentences with broad statements that feel detached. Examples include:

    "Many people believe…","There are many ways…","It is widely known that…"

    These vague openers risk losing the reader's attention. Human writers typically offer specific insights or intriguing details from the start, which readers find more engaging.

    1. Impersonal General Statements

    AI often uses broad phrases to create context but can come off as detached and impersonal. These include:

    "Some would argue…","From a broader perspective…","It has been observed that…"

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    Personalising content with unique insights or actionable information creates a stronger sense of connection with the audience, keeping readers interested and engaged.

    1. Repetitive Explanations

    AI tends to repeat phrases to simplify content, but it often feels redundant. Examples include:

    "To put it simply…","This can be broken down into…","What this means is…"

    These phrases become repetitive quickly, losing their intended clarifying effect. Instead, using precise language and avoiding unnecessary repetition ensures content stays engaging and valuable.

    1. Common AI Phrasing in Descriptions or Analyses

    When explaining ideas, AI often sticks to predictable phrases that sound clinical. These include:

    "This has led to an increase in…","The primary benefit of this approach is…","There are several factors to consider"

    Human writers can create more engaging analysis by using fresh phrasing or offering new perspectives on familiar topics.

    1. Filler Language and Informational Add-Ons

    AI-generated text often includes filler language that, while aiming to create interest, tends to dilute the message:

    "An interesting fact is…","Did you know that…","One thing to consider is…"

    Readers value conciseness and relevance, so cutting filler phrases helps keep the focus on meaningful content that adds real value.

    What Happens When You Use Words and Phrases Like This Already?

    Using these patterns can have a noticeable impact on content effectiveness, sometimes negatively influencing reader perception, trust, and engagement.

    1. Reduced Reader Engagement

    Buzzwords and vague phrases may catch initial interest but can lead to disengagement. If content seems to lack depth, readers may stop reading before reaching the main message. This aligns with observations from recent studies on generative AI adoption.

    1. Loss of Trust and Authenticity

    Readers value authenticity, and over-relying on generic phrases can make content feel detached or even inauthentic. This perceived lack of connection can lower reader trust and lessen the impact of your message.

    1. Diluted Brand Voice

    Every brand has a unique voice, and AI-sounding language can drown it out, creating a message that feels like everyone else’s. Readers connect more deeply with distinctive, authentic voices that are not simply repeating industry-standard language.

    1. Reduced SEO and Long-Term Impact

    As search engines evolve, they prioritise content demonstrating “expertise, authoritativeness, and trustworthiness.” Formulaic language risks sounding less credible, which can reduce ranking effectiveness over time. Search engines reward high-quality, engaging content, and AI-sounding text can struggle to meet these standards. For more on this, consider the Google Search Quality Rater Guidelines.

    Crafting Authentic, Human-Centred Content

    Identifying and avoiding these common phrases lets brands and professionals focus on what matters—connecting with their audience through authenticity, relevance, and value. Here’s how to avoid the pitfalls of AI-sounding content:

    Prioritise Specificity

    Replacing generalities with examples or data points boosts credibility. Instead of “Data-driven insights drive growth,” say, “Brands using consumer-focused insights have seen a 30% boost in engagement.”

    Vary Sentence Structure

    AI often produces repetitive structures, making content feel monotonous. Varying sentence length and style keeps readers interested, creating a rhythm that feels human.

    Limit Transitional Phrases

    Instead of stock transitions, experiment with questions or informal links to create natural flow, allowing ideas to connect without sounding forced.

    Add Personal or Unique Insights

    Adding original insights can elevate writing, making it relatable and distinct. Readers value authenticity, so expressing a unique perspective or anecdote adds value and fosters connection.

    The Role of SEO in Human-Centred Writing

    While AI-generated content may rely on keywords for SEO, a balanced approach keeps content engaging without compromising readability:

    Relevance: Focus keywords on the reader’s search intent and integrate them naturally into the content flow. Keyword Variation: Human writers can use keyword variations to avoid repetition, maintaining relevance while keeping the text fresh. SEO in Headings: Using keywords naturally in descriptive headings improves readability and search ranking. Understanding how Google's AI Overviews might affect SEO is also crucial.

    Final Thoughts

    As AI technology advances, understanding language patterns helps professionals human.

    Anonymous
    6 min read5 November 2024

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    Join 3 readers in the discussion below

    Latest Comments (3)

    Henry Chua
    Henry Chua@hchua_tech
    AI
    3 November 2025

    Interesting read! After some time, I wonder if AI detection software has gotten sharper or if the bots are just getting craftier, eh?

    Karen Lee
    Karen Lee@karenlee_ai
    AI
    3 December 2024

    Wah, so timely! I was just chatting with a friend about how everything sounds a bit too polished online these days. This article hits the nail on the head. We need to preserve that human touch, especially with all the AI advancements. Definitely bookmarking this to dig deeper; it's a real challenge for content creators and readers alike to discern what's machine and what's authentic.

    Marcus Lim
    Marcus Lim@mlim_ai
    AI
    12 November 2024

    Huh, just stumbled upon this – fascinating how everyone's trying to sniff out AI. But honestly, sometimes I wonder if the focus should be less on "spotting AI" and more on "is it actually good content?" Like, who cares *who* or *what* wrote it if the writing is rubbish anyway, you know? Definitely coming back to this thread later, plenty to chew on.

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