Uncover the Secrets: How Do I Get Rid of AI Detection?

The rise of AI in content creation has made it more difficult to distinguish between machine-generated and human-written content.

If you’re an SEO professional, does it matter? What does Google say about AI content?

Back in April 2022, Google said AI content violated its guidelines.

But then it softened its stance in October, banning only AI content that was spammy.

Fast forward to February 2023, when the search engine giant finally released its official guidelines on AI. They now clearly say good content is good content — no matter who wrote it.

But if you’re still worried that using an AI tool like Content at Scale or ChatGPT can make your content detectable, we can help.

This article will show you how to spot the signs of AI written content and how to improve your own pieces so they will pass detection tools.

Table of Contents:

What Are AI Detection Systems?

AI detection systems are advanced tools designed to identify AI-generated content. These systems, while often flawed, play a role in maintaining the integrity of digital content and preventing plagiarism, spamming, or misinformation associated with AI-generated text.

At its core, an AI detection system analyzes textual patterns and structures to differentiate between human-written and machine-generated content. It looks at various factors such as sentence length, word usage frequency, grammatical errors, coherence levels, semantic structure consistency, and more. 

By comparing these characteristics with known human writing styles or other benchmarks established through training data sets, these detectors can help determine if a piece of text was written by an AI model.

To accomplish this task effectively, natural language processing (NLP), a subfield of linguistics and computer science that deals with the interaction between computers and human languages is employed. 

NLP techniques enable machines to understand contextually rich information from large volumes of unstructured data like texts or speech transcripts. This allows them not only to detect but also to analyze potential inconsistencies within the content under examination.

Detection Models: Supervised vs Unsupervised Learning

  • Supervised Learning: In supervised learning-based detection models, algorithms are trained on labeled datasets consisting of both genuine human-authored texts as well as artificially generated ones. The system then uses this knowledge base when analyzing new input samples.
  • Unsupervised Learning: Unsupervised learning-based models, on the other hand, do not rely on labeled datasets. Instead, they identify patterns and structures in the data itself to distinguish between human-written and AI-generated content. This approach can be advantageous when dealing with new or evolving AI writing techniques that may not have been encountered during training.

ChatGPT output scored as “likely to be AI-generated” in Content at Scale’s AI Detector tool.

Despite the progress made in AI, it is still possible to deceive or mislead these systems. In some cases, AI systems can indeed be fooled or tricked into producing inaccurate results.

In order to fool an AI content detector, one must first understand how these detectors work. Most AI-based content analysis tools use machine learning algorithms that have been trained on vast amounts of data to recognize patterns and make predictions based on those patterns. By exploiting weaknesses in these algorithms or feeding them carefully crafted input data designed to mislead them, it may be possible to bypass their detection capabilities.

  • Data poisoning: One method for fooling an AI system involves injecting false information into its training data set – a technique known as “data poisoning.” This can cause the model’s performance to degrade over time as it becomes increasingly reliant on corrupted inputs.
  • Adversarial examples: Another approach involves creating so-called “adversarial examples” or specially crafted inputs that are designed to deceive an AI system while appearing normal to human observers. These examples exploit vulnerabilities within the underlying neural network architecture and can often lead the model astray when making predictions.
  • Evasion attacks: Evasion attacks involve modifying the input data in such a way that it remains functionally identical to the original but is no longer recognized by the AI system. This can be achieved through techniques like adding noise, altering pixel values, or strategically changing specific features of the content.

How to Trick AI Content Detectors

AI detectors are not perfect. Sometimes even sentences that you wrote in your own words will be flagged by these tools as written by AI. 

While these tools are designed to identify AI-generated content, there are ways you can trick AI content detectors and make your writing less susceptible.

Add a Few Typos

One simple method for evading detection is by intentionally including typos or spelling errors in your text. Many AI algorithms have been trained on vast amounts of high-quality data and tend to produce an error-free output. By adding a few mistakes here and there, you introduce an element of “human imperfection” that might throw off the detector.

Split Long Sentences

AI writers are notorious for generating super-long sentences with complex structures. These are telltale signs of machine-generated text that are easy to detect. Try breaking up long sentences into shorter ones or rephrasing them using simpler, conversational language.

Edit Your Work

  • Add personal anecdotes: Injecting personal experiences or stories into your writing adds authenticity and makes it harder for an AI detector to flag it as machine-generated.
  • Rearrange paragraphs: Changing the order of sections within an article can disrupt the logical flow that AI-generated content often exhibits, making it more difficult for detection tools to identify your work as written by a bot.
  • Use synonyms: Replace some of the words in your text with their synonyms. This can help you avoid repetitive language patterns and make your writing appear more natural.

At Content at Scale, we have developed a process for this editing phase called the C.R.A.F.T. framework which can help your content get a 100% human score. 

aio craft

Want to learn every step involved in our C.R.A.F.T. framework? You’re in the right place. To learn more about AIO and C.R.A.F.T, read our individual guides:

Additionally, subscribe to our blog, watch our C.R.A.F.T. and AIO tutorials on our YouTube channel, and read this blog to understand the AIO model.

How Do You Tell if Something Was Written by an AI?

Whether you are using ChatGPT or an AI writer like Content at Scale, it’s easy to spot technical and syntactical signs in your first draft if you know what to look for.

Some of these indicators include run-on sentences, repetition of words and phrases, lack of analysis, and inaccurate data.

Run-On Sentences

A common trait in AI-generated content is the presence of long sentences with multiple clauses. While human writers may occasionally use lengthy sentences for stylistic purposes or emphasis, they typically do so sparingly. In contrast, some AI models tend to generate longer sentence structures more frequently as they attempt to convey complex ideas.


Another sign that a piece might be authored by an AI is the repetition of words or phrases within paragraphs. This could indicate that the algorithm has latched onto specific terms without understanding their context or importance. Human authors generally avoid these repetitions unless they’re used intentionally for effect.

Lack of Analysis and Context

  • Nuance: AIs often struggle with capturing nuance in language so the output may appear overly simplistic compared to human-authored pieces.
  • Critical thinking: The absence of critical analysis could also suggest AI authorship since machines are not capable of critical thinking like humans do.
  • Context: AI-generated content may lack context or show inconsistencies in the overall narrative, as machines have difficulty understanding complex relationships between ideas.

Inaccurate Data And Facts

The biggest complaint with ChatGPT is its tendency to “hallucinate” or give answers that are made up.

AIs might produce content with inaccurate data or facts due to their reliance on training datasets that could be outdated or contain errors. Trustworthy human authors are more likely to verify every bit of information before including it in their writing, ensuring a higher level of accuracy and credibility.

Best AI Detector Tools

To help you identify AI-generated content, consider using some of the best AI detector tools available such as Content at Scale AI Detector, Undetectable AI, Originality, Copyleaks, and Giant Language Model Test Room. These apps can help you edit your blog post so it doesn’t sound like it was written by AI.

content at scale AI detector

Content at Scale’s AI Detector

  1. Content at Scale AI Detector: This tool is designed specifically for detecting content generated by GPT-3 and other advanced language models. This tool combines ML algorithms and NLP techniques to differentiate between AI-generated content and human-written texts. It’s also built into the Content at Scale app.
  2. Undetectable.AI: Undetectable.AI offers a comprehensive suite of detection services that can identify various types of synthetic media, including deep fake videos, manipulated images, and fake audio clips. Their API allows developers to integrate their powerful detection capabilities into existing applications or build new ones from scratch.
  3. Originality: Originality is an innovative plagiarism checker that also detects artificially generated text using state-of-the-art algorithms. It helps users maintain high-quality standards in their writing while ensuring originality across different platforms such as blogs, academic papers, or social media posts.
  4. Copyleaks: Copyleaks is another popular plagiarism detection tool with added features for identifying AI-generated content. By scanning billions of web pages and databases worldwide, Copyleaks provides accurate results on whether your submitted text was created by AI or a human author.
  5. Giant Language Model Test Room: This unique platform allows users to interact with OpenAI’s GPT-3 language model and test its capabilities. By analyzing the generated content, users can gain insights into how AI-generated text behaves and learn to identify potential signs of artificial intelligence in written works.

These AI detector tools are crucial for maintaining the integrity of online content and ensuring that information is accurate, reliable, and trustworthy. By using these tools effectively, you can protect your work from being compromised by artificially generated text while also improving your understanding of how advanced language models operate.

FAQs – How Do I Get Rid of AI Detection?

How Do I Get Rid of AI Detection?

To remove AI detection from your content, you can either manually rewrite the text to make it sound more human-like or use a paraphrasing tool to rephrase the content. Additionally, ensure proper grammar and sentence structure, and add context-specific information that an AI might not know.

What Website Removes AI Detection?

There isn’t a specific website dedicated to removing AI detection. However, you can use online paraphrasing tools like QuillBot or Spinbot to help rephrase your content in a way that makes it less detectable.

How Do I Make a Chatbot Less Detectable?

To make a chatbot less detectable, focus on improving its natural language processing capabilities and conversation flow. Train the chatbot with diverse datasets for a better understanding of user inputs and provide personalized responses based on context. You may also consider using advanced techniques like GPT-3 from OpenAI.


Remember: not all AI content is bad.

Before AI came around, bad content already existed, and it was written by humans. If you want to publish good content, whether written by AI or humans, be sure to rephrase your robotic sentences, cut the fluff, and add personal stories that make your content truly human.

Never use AI to deceive search engines or readers by publishing low-quality content in bulk. Google has more advanced methods for detecting such practices, and penalizing websites that use them could result in lower rankings or even complete removal from search results.

Readers are also becoming increasingly savvy at recognizing AI writing and may lose trust in any website that uses robotic writing. This can lead to decreased engagement and ultimately harm your brand’s reputation.

While AI technology can be a useful tool for content creation, it should not replace human writers’ expertise and creativity. As an SEO or content marketer, you must ensure that your content is high quality and provides value to readers.

Free Resources to Train Your Writers into AIO

I’ve been personally training agency owners and teams and helping them convert to the AIO way. Want these? You’re in luck – we’re giving them away.

Free Guide

First, I wrote a full guide – a writer’s worksprint, links to our best tutorials and training, and even a job description template if you want to find an AIO writer.

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Free Step-by-Step AIO CRAFT Writer’s Training Course

Additionally, after months of putting AIO and C.R.A.F.T. into action (over 40M words are produced each month by our users at Content at Scale, and our Done-for-You client side is another 500,000 words/month! Talk about AIO at scale 🤯 ) – we put together a step-by-step AIO C.R.A.F.T. tutorial.

Ideal for you, your writers, and any content creator ready to adapt to the CRAFT methodology and the AIO way.


New to the idea of AIO and CRAFT? Read this to understand the innovation behind AIO. 

Want a written guide that has all the CRAFT steps from the YouTube video? Your wish is our content command. Step-by-step AIO writing tutorial, blog version.

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About the author

Julia McCoy

Julia McCoy is an 8x author and a leading strategist around creating exceptional content and presence that lasts online. As the VP of Marketing at Content at Scale, she helps marketers achieve insane ROI (3-10x their time back at 1/3rd the cost) in a new era of AI as a baseline for content production. She's been named in the top 30 of all content marketers worldwide, is the founder of Content Hacker, and recently exited her 100-person writing agency with a desire to help marketers, teams, and entrepreneurs find the keys of online success and revenue growth without breaking.

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