In recent times, sophisticated AI content generators, such as ChatGPT, Jasper, Copy.ai, Writesonic, etc are being used to produce content for various purposes.
While these AI content generators are efficient at content production and cost-effective, it lacks the personal touch and human elements that make content relatable and engaging.
This is where AI content detectors come in. These tools help to identify and flag AI-generated content, allowing publishers to make informed decisions about how to handle it.
In this article, I will review the top AI content detectors on the market and explore their features and capabilities. Whether you are a publisher, marketer, or content creator, these tools can help you ensure that your content is of the highest quality and resonates with Google’s guidelines as well as with your audience.
While talking about AI content detection, it is impossible to omit Google’s ability to detect it. So, let’s start with Google’s stance on AI-generated content.
Table of Contents
Can Google Detect AI-Generated Content?
One of the most common questions people ask when using AI-generated content is whether Google will detect it or not?
During the Google Search Central SEO office-hours hangout, John Mueller, Google’s Search Advocate, explained Google’s perspective on AI-generated content.
“For us these would, essentially, still fall into the category of automatically generated content which is something we’ve had in the Webmaster Guidelines since almost the beginning.”
In the discussion, John Mueller said that the content generated by AI is considered spam and it’s against Google’s Webmaster Guidelines.
“Currently it’s all against the webmaster guidelines. So from our point of view, if we were to run across something like that, if the webspam team were to see it, they would see it as spam.”
While addressing the question about Google’s ability to detect AI content, he didn’t claim anything.
“I can’t claim that. But for us, if we see that something is automatically generated, then the webspam team can definitely take action on that.”
To sum up, according to Google’s search advocate, currently, Google is not super effective when it comes to AI content detection. However, this will not be the case forever. Its algorithms will evolve to find it.
On the other hand, if the webspam team can manually monitor for AI content. They will not hesitate to take action if they find AI content.
Limitations of AI Content Detectors
While AI content detectors are really helpful in identifying the content generated by all GPT models, they have a limitation too.
One of the very silly drawbacks is that almost all the content detectors are considering AI content as human-generated if it has a few spelling errors.
For example, I have tried inputting the ChatGPT-generated content with intended spelling errors into GPT-2 Output Detector, Content at Scale’s AI Content Detector, and Writer.com’s AI Content Detector. All of them are showing that it is human-generated content.
Hence, at this time, we cannot completely rely on AI content detection tools because they are relatively new and have not yet been fully established.
Best AI-Content Detectors
GPT-2 Output Detector
There are a few tools that are available to detect AI-generated content. One such popular tool is “GPT-2 Output Detector”, which is created by OpenAI. While creating the GPT-2 model, the OpenAI fine-tuned a model called RoBERTa with the output of GPT-2 (Generative Pre-trained Transformer 2).
The GPT-2 Output Detector not only detects content generated by GPT models and GPT-powered models, such as Jasper, Copy.ai, and Writesonic but also ChatGPT-generated content.
Just copy-paste the content that you want to detect into the “GPT-2 Output Detector” tool. Within a few seconds, it will show whether the content is real or fake. Real denotes human and Fake denotes AI.
To get a reliable result, you need to put at least ~30 words (50 tokens) into this detector.
Content at Scale’s AI Content Detector
Content at Scale’s AI Content Detector is yet another free-to-use AI content detector that has the same credibility and user interface as GPT-2 Output Detector.
It also seamlessly detects all GPT model-generated content including ChatGPT. Just copy-paste the content that you want to detect into this tool. Within a few seconds, it will show whether the content is real or fake along with the human content score.
To get a reliable result from Content at Scale’s AI Content Detector, it is essential to input at least 25 words.
Apart from AI content detection, Content at Scale also provides a service that allows you to upload up to 100 keywords and get back 100 entire human-quality blog posts. They create high-quality blog posts by using a mix of 3 AI engines, NLP, and semantic analysis algorithms.
Writer.com’s AI Content Detector
The third free-to-use AI content detector tool that you can rely on is Writer.com’s AI Content Detector.
Just like the other AI content detectors described in this article, Writer.com’s AI content detector has the same intuitive user interface and credibility. It also has the capability to detect GPT-2, GPT-3, GPT-3.5, and ChatGPT.
Once you have pasted and clicked “Analyze text”, you will get a human score. You need to edit the content until there’s less detectable AI content.
Originality.ai is a whole new start-up that is solely dedicated to plagiarism checking and AI content detection. Since it is built by a team of content marketers and GPT-3 experts, it comes with features, such as team management, full site scan, auto-billing, and scan history.
If you are a business owner, Orginality.ai is the perfect go-to AI detection tool for your team. You can also integrate Originality.ai API into your tool or workflow.
Unlike other AI detection tools in this article, it is a paid one. You have to spend $0.01 per credit, whereas 1 credit scans 100 words.
Orginality.ai tool can detect the latest GPT models, such as ChatGPT, and GPT 3.5 (DaVinci-003) with the same accuracy as it can for GPT-3. To get high accuracy, you need to input at least 50+ words.
Giant Language model Test Room (GLTR)
Giant Language model Test Room (GLTR) is one of the free-to-use AI content detection tools that detect the footprint of large language models, also known as machine learning models, such as GPT-2, GPT-3, and ChatGPT.
It is a team effort of Hendrik Strobelt, Sebastian Gehrmann, and Alexander Rush from the MIT-IBM Watson AI lab and Harvard NLP. Unlike other AI content detection tools, GLTR transparently shows its working mechanism.
GLTR detects AI content seamlessly by utilizing the input dataset of GPT-2, one of the largest publicly available models. I.e., similar to GPT-2 Output Detector.
Just paste the input text and click “analyze”. Now, you will get to see a pictorial representation of the as well as text with color code representation. If you are seeing a lot of green and yellow means that these are words predicted by AI. In case you are seeing a lot of red and purple means the content is written by humans hence you are good to go.
Although GLTR lacks a neat user interface (UI), it is the only tool that gives a cool visualized, and detailed analysis of each word.
AI content generators like ChatGPT, Jasper, Copy.ai, and Writesonic are efficient and cost-effective but lack the personal touch and human elements that make content relatable and engaging.
While Google’s algorithms are not currently very effective at detecting AI content, the webspam team can manually monitor for it and take action if necessary.
Hence, AI content detectors discussed in this article can help identify and flag AI-generated content, allowing publishers to make informed decisions about how to handle it.
Though these AI content detectors are not foolproof methods, they can be useful for publishers, marketers, and content creators to ensure that their content meets Google’s guidelines and resonates with their audience.