AI content detection tools can help you to easily detect if content is written using AI content generators like ChatGPT, Jasper, Frase or any AI content generating tool.
As the popular saying “Google is getting smarter daily in detecting AI contents”. Google has penalized auto-generated content for a long time and will likely continue enhancing its capabilities to detect content generated by AI tools.
An AI detection tool is essential especially if you use AI writing tools and want to ensure you’re creating original content. It’s more important than ever to ensure your content is human-like, and the best AI content detectors can help you do that.
This tool will ensure that you are not just creating content that are will be flagged by search engine as an AI generated content but you can also be sure that you’re creating unique, human-driven content, avoiding Google penalties and adding value to your readers.
Using one of these AI detection tools can help you know how “human-like” your AI-generated content is and what edits you can make before publishing and risking Google detecting your AI content and penalizing your content from ranking.
Best AI Content Detection Tools
Originality.ai is billed as an AI content detection software. It scans content you submit and generates a score. The scoring is a sliding scale from 0 to 100. If the AI score is high, that means there’s a strong possibility it’s AI-generated content.
Originality.AI allows content creators to detect content generated by popular AI tools and assess overall content quality and originality. Over time, there’s a high chance that using an AI content detector will become as essential as using a plagiarism checker.
Originality.AI markets itself as a “plagiarism detector and AI detector built for serious content publishers.” The plagiarism and AI detectors represent the tool’s two core functions.
Originality.AI’s AI detection has a robust plagiarism detection module with features that publishers who manage a team need but are not currently available. This includes a dashboard, team management, complete website scans and team history.
OpenAI, the creators of ChatGPT, released the tool using a natural language processing model called “GPT 3.5.” Originality.AI recently updated its model to detect GPT 3.5-generated content, along with the past versions of GPT.
Currently, there’s no ability to see how Originality.AI generated the score or to get feedback on specific parts of the text. The tool just launched, so I expect they’ll add this ability over time as it evolves.
One great way to use Originality.AI is to paste in sections of your post one by one. This way, you can see if a section is likely causing issues and revise them to re-word phrases or add in original content.
It can detect GPT 3.0 content with a 94% success rate and has had similar success detecting GPT 3.5 and ChatGPT content and also provides a percentage estimate of originality (for example, the tool has 70% confidence that the content is original).
Like the other tools on the list, it only provides a score and doesn’t tell you which parts of the content it flagged as AI-generated.It has a simple, easy-to-use interface – paste your text and get an originality score.
It offers the ability to see your past scans. The company plans to offer full site scans in the near future, allowing you to assess the quality of content across your entire website.
The pricing system is based on credits. Each credit costs $0.01 and can scan 100 words of content for either AI usage or plagiarism. That means checking a 2,000-word blog post for AI usage can cost just $0.20.
GLTR is a tool that supports humans in detecting whether a text was generated by a model. GLTR applies a suite of baseline statistical methods that can detect generation artifacts across common sampling schemes.
In a human-subjects study, we show that the annotation scheme provided by GLTR improves the human detection-rate of fake text from 54% to 72% without any prior training. GLTR is open-source and publicly deployed, and has already been widely used to detect generated outputs.
GLTR full meaning is Giant Language model Test Room and it is a project jointly developed by the MIT-IBM Watson AI lab and Harvard Natural Language Processing group.
GLTR is one of the most detailed AI content detectors. Using a color-coded system ranging from green to purple, GLTR analyzes each word in a text to determine how likely it is that it would be used in that place. Green words are the most likely, followed by yellow, red, and purple.
While this is counter-intuitive, the more red and purple your content has, the more unique it is. AI language models typically use more common words, so unique words can help your content pass AI detection tests.
You can look at your text with this tool and add synonyms for green words where appropriate. This will likely improve your AI detection scores. GLTR compensates for the lack of user-friendliness and intuitive design with highly informative data.
The tool actually pretty simple to use , but it could appear super challenging. You paste in your content and click “analyze.” Then, it will show you a color-coded output, which you can use to make changes to your content.
GLTR is the only tool that gives you insights into the text to change in your content and it’s interface is deceptively simple – you paste in text, then click “analyze.”
This tool allow you to understand the originality of your content. It doesn’t give a “percent original” score like other tools. And the best part is it’s free. This is an excellent deal for how technically advanced it is and how much data it gives you.
The aim of GLTR is to take the same models that are used to generated fake text as a tool for detection. GLTR has access to the GPT-2 117M language model from OpenAI, one of the largest publicly available models. It can use any textual input and analyze what GPT-2 would have predicted at each position.
3. Huggingface OpenAI detector
Huggingface OpenAI detector classifier is able to detect 1.5 billion parameter GPT-2-generated text with approximately 95% accuracy. The model can be used to predict if text was generated by a GPT-2 model.
Though it’s an open-source AI community where folks can share ideas, the site also has a free AI detection tool. All a user needs to do is copy/paste their content into the box, and it will show the user where it ranks on a “fake” to “real” scale.
Results get more accurate the more content the tool is fed, so this one may be better for folks who are testing longer AI-written content. Although a pioneer, the tool isn’t updated to detect text generated by newer AI models like GPT3 and GPT3.5.
4. Content at Scale AI Content Detector
Content at Scale is an AI content generation service that promises to produce full-length, SEO-optimized blog posts in just a few clicks without human intervention.
It has a simple user interface. With one text box, one button, and one score, it’s impossible to get confused or lost. There’s no cap on how often you can use it. If you want to keep testing new inputs 400 words at a time, you can go for weeks. Content at Scale’s AI-generated content technology is pretty advanced, so its AI detector will likely keep improving over time.
Given that they focus on creating content that can pass AI detection tests, they have a vested interest in creating an accurate AI detection tool. They’ve made that tool available on their website for everyone to use. As far as free tools go, it’s pretty great.
5. Writer.com AI content detector
Writer.om‘s AI content detector provides a simple, easy-to-understand report. It also has an easy-to-use AI content detector to make it easy for users to check their AI-generated content before sending it out into the world.
It’s free, without a paid version. You can use it as much as you want without spending a dime.
What is AI-generated content?
AI-generated content is copy such as blogs, marketing materials, articles and product descriptions written by a machine. The AI content creator generates the content after a person inputs information such as keywords, phrases and topics.
AI-generated content can help speed up the writing process, and businesses are starting to take notice. Marketers may consider using AI-generated content for automating the content marketing process, which can, at times, be time-consuming and expensive.
How does AI-generated content work?
To produce content, users enter the text format needed, a topic and keywords. The AI then searches the internet and pieces together copy fitting the requested format. Some tools also rewrite a business’s existing content to add information based on web searches and editing tools.
These tools can take this existing content and reformat it to fit other communication mediums, such as turning a blog article into a social media post or email draft. There are free content generators available, but others charge for more in-depth content.
What Are AI Content Detectors?
Recently, models such as GPT-2, GPT-3, and ChatGPT have led to the rise of machine-generated content. This synthetic content is increasingly indistinguishable from human-written content.
Despite rapid progress, these models continue to have shortcomings such as hallucinated facts as well as consequences such as enabling cheating in language courses.
AI content detectors are specialized tools that use artificial intelligence and natural language processing algorithms to analyze the language and syntax of written content.
Although, Most AI content detectors just give a score mostly on scale of 0 to 100, whether the content is original or generated by an AI writer. Given that Given that Google penalizes auto-generated content, these tools can help you ensure high content originality, readability, and quality.
You might also want to read: 10 WordPress Plugins Using Artificial Intelligence and Machine Learning
How Do AI Content Detectors Work?
AI content detectors work by using a language model similar to the ones used by Google to predict likelihood of certain words and phrases in content. Using this judgement, it is able to give users a score on how “human-like” the content will appear in Google’s eyes.
It analyze the words and syntax of a text, looking for patterns within it. When they spot patterns similar to those seen in AI-generated content, they flag it as AI-generated.
The tools likely base their score on how AI-generated content uses more predictable, repetitive, and less contextually dependent words, while humans use more random, creative words.
Why is it important to detect AI content?
Organizations, government agencies, and universities have a strong interest to determine if a piece of content was generated using a language model or AI text tool.
What percentage of the thesis handed is authentic, written by a human?
With the advancements of ChatGPT and GPT4 the text generated by these tools is nothing short of amazing.
It is important to have the watermarking detection in place or students / employees could be using these tools and passing off as their own.
Marketers and SEO companies who buy content may want to understand the extent to which the content they have acquired was generated using tools such as GPT3 or Jasper, Writesonic, or copy.ai.
Can Google Detect AI Content?
Google appears to have the ability to detect AI-generated content.
It is not yet certain as to whether Google can truly detect AI content automatically, however, we do know that Google does deem AI content as spammy when reviewed manually.
Despite this, there are many AI content detectors out there that do this job pretty accurately, leading many to believe that Google has implemented similar technology to its algorithm.
As there is no proof of this though, it’s difficult to definitively say whether Google can actually detect AI content automatically or not. Nevertheless, Google is getting smarter about detecting AI Content.
Will Google Penalize Content Created by AI Tools?
According to Google’s webmaster guidelines, it is said that Google penalizes auto-generated content. So if Google is smart enough to detect that you wrote AI content, they will penalize it. A sufficient originality score should be enough to get around Google’s AI detection algorithms.
How can we detect AI content as written with GPT3 or ChatGPT?
Here are some other methods that you can use to detect whether content has been written by GPT3 or ChatGPT:
- One thing to check for is the linguistic features or patterns that are common in machine-generated text. e.g. AI-generated text might have higher levels of repetitiveness or lack the complexity and variability of human-written text.
- You can also check for specific formatting or structural features that are common in machine-generated text. e.g. AI-generated text might have a more uniform structure or lack the variety of formatting that is typical in human-written text. They sometimes look “too good to be true”.
- You might also want to checking for certain keywords or phrases that are commonly used in AI-generated text. That’s a lot harder already. In general, there are statistically significant patterns known and detectable of which word combinations a model like GPT3 picks.
- Lastly, you can compare the content in question to known examples of machine-generated text. This could be done manually or especially using machine learning techniques to analyze the content and determine its likelihood of being generated by a machine, again.
Also Read: 10 Practical Uses of AI in Everyday Life
Wrapping Up With On Best AI Content Detection Tools
AI written content is becoming more popular within the marketing, SEO and online industries, and as a technology. Checking for originality will likely be a huge part of content creation in the future, so it’s a great idea to explore these tools and integrate them into your workflow.
AI content is often dry and factual. It usually sounds like trigonometry married history and had a baby, and the baby sold its soul to a robot who converted it into binary code and blogged about it.