How to Detect AI Content: Can Google Detect It?
Artificial Intelligence has taken the business world by storm with its lightning-fast customer service and cutting-edge marketing tools. But while automation has certainly shown improvements in competitive positioning, there’s one aspect that AI can’t quite replicate: the unique creativity and originality of the human mind. Join us as we explore the fascinating intersection between AI and human innovation in the world of business.
Search engines reward engaging and original content with first-page rankings. We can therefore say that your website may suffer significantly if you leave the creation of content entirely to AI. If you outsource your content, you’d better know how to detect AI content.
And that is exactly what we have compiled! In this article, we will answer some of the ground-breaking questions in the world of SEO regarding AI-generated content and familiarize you with AI content detections tools:
How to Detect AI-Generated Content Manually
AI-generated text is truly a matter of win or lose regarding SEO performance. While it has significantly gained popularity in providing instant and quality messaging softwares and producing analytics, its reliability in content generation is vastly disregarded. But, why is that so?
For one, AI content cannot produce thought leadership, thereby inducing it to manipulate published content and sacrificing originality. Companies looking to establish new market campaigns or generate content in a distinct niche will find AI a useless tool if they do not work on such content to edit and improve originality and the tone of voice.
As AI content cannot replace human emotion, excitement, and warmth of the tone of a piece of humanely-produced media, AI-generated content should be detected and improved.
Here are the tips we have listed for you to benefit from when you are up to detect AI content:
1. Analyze the Technical Aspects
You can detect AI content quite easily by considering the below-mentioned technical aspects:
One way to test the originality of a content media is to look at the technical aspects, such as the structure, monotony, and length of the sentences. While there is no specified length threshold to refer to, unusually long sentences in awkward places signify human mimicking with a hint of ignorance of complex sentence structures. Most of the time, it is painfully off-putting for the readers.
Irregular Repetition of Words and Phrases
AI, unfortunately, lacks much experience with deja vu and, thus, repeats keywords and phrases. This is because AI is programmed to stuff keywords and phrases to increase the SEO ranking, making it unnatural and forced.
Absence of Analysis
The analytical nature of the human brain is not only designed to collect data but also to analyze it and turn it into something meaningful and relevant to the content at hand. If you look at a piece of content including insights filled with meaningless information, there is a high chance that it is written with an AI.
AI-generated content can fetch inaccurate and irrelevant data, especially with product description articles and technical blogs. Machines are not fool-proof and thus can produce potentially erroneous data and inaccuracies. Such articles are prone to be reported.
Errors in Sources of Information
While it can be a daunting and overwhelming task for online content, the mismatch of the content and the domain is a serious red flag. One of the best ways is to verify the sources and hyperlink usages. If the keywords and the linking are used organically and naturally, with scholarly publications and authority websites, that is a sign of original content.
2. Use Giant Language Model Test Room for Casual Writing
GLTR room is established by Hendrik Strobel, Sebastian Gehrmann, and Alexander Rush to detect AI-generated content efficiently. It can predict discrepancies with the content posted and works best for casual writing. It gives a predictability score using context analysis and is built with GPT-2.
3. Use AI Content Detection Tools for Professional Content
If the methods above look tedious, the most efficient way is to use tools for AI content detection. All that said, AI is the new norm for most industries out there. Not only has it lent a helping hand for online shopping, digital assistance, customer service, and cybersecurity, but AI content marketing tools have enabled companies to establish strategies, optimize campaigns, and improve customer experience through content designing. But for generating SEO-driven content creation? Not so much. We present you some of the best AI-content detection tools:
- Writer’s AI Content Detection Tool
The Writer’s detection tool is integrated with GPT 3.5 and ChatGPT, and the robust searching and analysis make every content company’s cup of tea, with accurate detection.
- GPT-2 Hugging Face Output Detector Demo
Hugging Face is one of the top-notch communities for machine learning, providing platforms for clients and detecting AI content. It also judges the quality and engagement of the articles, widely regarding the platform as the home for machine learning.
Built with a team of content marketing experts, Originality.ai is integrated with GPT-2, GPT-NEO, GPT-J, GPT 3, GPT 3.5, and ChatGPT models. Web publishers and content managers actively use this for incorporating large-scale team management features and plagiarism-free content.
- Content at Scale AI Detector
This tool dominated the market with its brand-new GPT-3 AI content detector. Before publishing, you can produce your article by testing it for sentient authenticity using the integrated detector. Content At Scale provides a simple score of 100, indicating how probable it is to be identified as artificial by the search engine.
- Kazan SEO
Kazan SEO is an all-in-one SEO tool that shall be an integrated part of every future writer to come. It is a tool for researching keyword-related topics and establishing relevant URL extraction for SEO analysis. Their integrated and comprehensive techniques optimize content beyond standards.
Can Google Detect AI Content?
Now for the million-dollar question: Is Google capable of detecting AI content? Google is the most-used search engine that provides accurate content search results due to its comprehensive and robust keyword management. Automated content is against the guidelines of Google pages. AI content is exposed to penalization, potentially deleting your article from the search result pages. But what if the AI content generation tools improve to incorporate the originality and humaneness of the content?
To get into the technical aspect of things, GPT and GPT-2 models are considered obsolete and can be detected by even the poorest of search engines out there. GPT-3 and other advanced language models are created for their apt resemblance to human prediction. As for Google, AI content is evaluated under different parameters, like backlinks. While link purchases are against the guidelines, it is quite challenging to distinguish between natural and trade links.
As long as the content includes bylines and consistent styles, detecting becomes hard for Google. Overall, Google’s main objective is to provide helpful and reliable content and deliver a good experience from quality content. Keywords must be used naturally in a way that makes sense, and every content must be published with human-directed review.
The questions about Google’s algorithms remain a game of cat and mouse, trying to keep up with each other. That said, Google can, at best detect poor spelling, lack of engagement, unnatural tone, grammatical errors, and overall content structure. While there is no real way of proving AI-generated content, don’t let it fool you. Google’s algorithms are constantly improving, ensuring clients and servers match the most.
AI-generated content is a one-stop way for trouble, not only in terms of earning webpage rankings but also boosting sales and client retention. Those who initially rely on AI tools will need to replace automated content with compelling ones, thus earning priority and helpfulness for searchers.
AI-generated content has its limitations. While it may be useful for certain tasks like messaging software and producing analytics, it lacks originality, human emotion, and thought leadership. Companies looking to establish themselves in new markets or create unique content should avoid relying solely on AI. Detecting AI content is possible through manual analysis and the use of detection tools, but Google also struggles to distinguish between natural and AI-generated content. Regardless of the content’s origin, the goal should always be to provide high-quality content for users.