SEO
The 6 Best AI Content Checkers To Use In 2024
Today, many people see generative AI like ChatGPT, Gemini, and others as indispensable tools that streamline their day-to-day workflows and enhance their productivity.
However, with the proliferation of AI assistants comes an uptick in AI-generated content. AI content detectors can help you prioritize content quality and originality.
These tools can help you discern whether a piece of content was written by a human or AI – a task that’s becoming increasingly difficult – and this can help detect plagiarism, and ensure content is original, unique, and high-quality.
In this article, we’ll look at some of the top AI content checkers available in 2024. Let’s dive in.
The 6 Best AI Content Checkers
1. GPTZero
Launched in 2022, GPTZero was “the first public open AI detector,” according to its website – and it’s a leading choice among the tools out there today.
GPTZero’s advanced detection model comprises seven different components, including an internet text search to identify whether the content already exists in internet archives, a burstiness analysis to see whether the style and tone reflect that of human writing, end-to-end deep learning, and more.
Its Deep Scan feature gives you a detailed report highlighting sentences likely created by AI and tells you why that is, and GPTZero also offers a user-friendly Detection Dashboard as a source of truth for all your reports.
The tool is straightforward, and the company works with partners and researchers from institutions like Princeton, Penn State, and OpenAI to provide top-tier research and benchmarking.
Cost:
- The Basic plan is available for free. It includes up to 10,000 words per month.
- The Essential plan starts at $10 per month, with up to 150,000 words, plagiarism detection, and advanced writing feedback.
- The Premium plan starts at $16 per month and includes up to 300,000 words, everything in the Essential tier, as well as Deep Scan, AI detection in multiple languages, and downloadable reports.
2. Originality.ai
Originality.ai is designed to detect AI-generated content across various language models, including ChatGPT, GPT-4o, Gemini Pro, Claude 3, Llama 3, and others. It bills itself as the “most accurate AI detector,” and targets publishers, agencies, and writers – but not students.
The latter is relevant because, the company says, by leaving academia, research, and other historical text out of its scope, it’s able to better train its model to hone in on published content across the internet, print, etc.
Originality.ai works across multiple languages and offers a free Chrome extension and API integration. It also has a team that works around the clock, testing out new strategies to create AI content that tools can’t detect. Once it finds one, it trains the tool to sniff it out.
The tool is straightforward; users can just paste content directly into Originality.ai, or upload from a file or even a URL. It will then give you a report that flags AI-detected portions as well as the overall originality of the text. You get three free scans initially, with a 300-word limit.
Cost:
- Pro membership starts at $12.45 per month and includes 2,000 credits, AI scans, shareable reports, plagiarism and readability scans, and more.
- Enterprise membership starts at $179 per month and includes 15,000 credits per month, features in the Pro plan, as well as priority support, API, and a 365-day history of your scans.
- Originality.ai also offers a “pay as you go” tier, which consists of a $30 one-time payment to access 3,000 credits and some of the more limited features listed above.
3. Copyleaks
While you’ve probably heard of Copyleaks as a plagiarism detection tool, what you might not know is that it also offers a comprehensive AI-checking solution.
The tool covers 30 languages and detects across AI models including ChatGPT, Gemini, and Claude – and it automatically updates when new language models are released.
According to Copyleaks, its AI detector “has over 99% overall accuracy and a 0.2% false positive rate, the lowest of any platform.”
It works by using its long history of data and learning to spot the pattern of human-generated writing – and thus, flag anything that doesn’t fit common patterns as potentially AI-generated.
Other notable features of Copyleaks’ AI content detector are the ability to detect AI-generated source code, spot content that might have been paraphrased by AI, as well as browser extension and API offerings.
Cost:
- Users with a Copyleaks account can access a limited number of free scans daily.
- Paid plans start at $7.99 per month for the AI Detector tool, including up to 1,200 credits, scanning in over 30 languages, two users, and API access.
- You can also get access to an AI + Plagiarism Detection tier starting at $13.99 per month.
4. Winston AI
Another popular AI content detection tool, Winston AI calls itself “the most trusted AI detector,” and claims to be the only such tool with a 99.98% accuracy rate.
Winston AI is designed for users across the education, SEO, and writing industries, and it’s able to identify content generated by LLMs such as ChatGPT, GPT-4, Google Gemini, Claude, and more.
Using Winston AI is easy; paste or upload your documents into the tool, and it will scan the text (including text from scanned pictures or handwriting) and provide a printable report with your results.
Like other tools in this list, Winston AI offers multilingual support, high-grade security, and can also spot content that’s been paraphrased using tools like Quillbot.
One unique feature of Winston AI is its “AI Prediction Map,” a color-coded visualization that highlights which parts of your content sound inauthentic and may be flagged by AI detectors.
Cost
- Free 7-day trial includes 2,000 credits, AI content checking, AI image and deepfake detection, and more.
- Paid plans start at $12 per month for 80,000 credits, with additional advanced features based on your membership tier.
5. TraceGPT
Looking for an extremely accurate AI content detector? Try TraceGPT by PlagiarismCheck.org.
It’s a user-friendly tool that allows you to upload files across a range of formats, including doc, docx, txt, odt, rtf, and pdf. Then, it leverages creativity/predictability ratios and other methods to scan your content for “AI-related breadcrumbs.”
Once it’s done, TraceGPT will provide results that show you what it has flagged as potential AI-generated text, tagging it as “likely” or “highly likely.”
As with many of the options here, TraceGPT offers support in several languages, as well as API and browser extension access. The tool claims to be beneficial for people in academia, SEO, and recruitment.
Cost
- You can sign up to use TraceGPT and will be given limited free access.
- Paid plans differ based on the type of membership; for businesses, they start at $69 for 1,000 pages, and for individuals, it starts at $5.99 for 20 pages. Paid plans also give you access to 24/7 support and a grammar checker.
6. Hive Moderation
Hive Moderation, a company that specializes in content moderation, offers an AI content detector with a unique differentiator. Unlike most of the other examples listed here, it is capable of checking for AI content across several media formats, including text, audio, and image.
Users can simply input their desired media, and Hive’s models will discern whether they believe them to be AI-generated. You’ll get immediate results with a holistic score and more detailed information, such as whether Hive thinks your image was created by Midjourney, DALL-E, or ChatGPT, for example.
Hive Moderation offers a Chrome extension for its AI detector, as well as several levels of customization so that customers can tweak their usage to fit their needs and industry.
Pricing:
- You can download the Hive AI Chrome Extension for free, and its browser tool offers at least some free scans.
- You’ll need to contact the Hive Moderation team for more extensive use of its tools.
What Is An AI Content Checker?
An AI content checker is a tool for detecting whether a piece of content or writing was generated by artificial intelligence.
Using machine learning algorithms and natural language processing, these tools can identify specific patterns and characteristics common in AI-generated content.
An important disclaimer: At this point in time, no AI content detector is perfect. While some are better than others, they all have limitations.
They can make mistakes, from falsely identifying human-written content as AI-generated or failing to spot AI-generated content.
However, they are useful tools for pressure-testing content to spot glaring errors and ensure that it is authentic and not a reproduction or plagiarism.
Why Use An AI Content Detector?
As AI systems become more widespread and sophisticated, it’ll only become harder to tell when AI has produced content – so tools like these could become more important.
Other reasons AI content checkers are beneficial include:
- They can help you protect your reputation. Say you’re publishing content on a website or blog. You want to make sure your audience can trust that what they’re reading is authentic and original. AI content checkers can help you ensure just that.
- They can ensure you avoid any plagiarism. Yes, generative AI is only getting better, but it’s still known to reproduce other people’s work without citation in the answers it generates. So, by using an AI content detector, you can steer clear of plagiarism and the many risks associated with it.
- They can confirm that the content you’re working with is original. Producing unique content isn’t just an SEO best practice – it’s essential to maintaining integrity, whether you’re a business, a content creator, or an academic professional. AI content detectors can help here by weeding out anything that doesn’t meet that standard.
AI content detectors have various use cases, including at the draft stage, during editing, or during the final review of content. They can also be used for ongoing content audits.
AI detectors may produce false positives, so you should scrutinize their results if you’re using them to make a decision. However, false positives can also help identify human-written content that requires a little more work to stand out.
We recommend you use a variety of different tools, cross-check your results, and build trust with your writers. Always remember that these are not a replacement for human editing, fact-checking, or review.
They are merely there as a helping hand and an additional level of scrutiny.
In Summary
While we still have a long way to go before AI detection tools are perfect, they’re useful tools that can help you ensure your content is authentic and of the highest quality.
By making use of AI content checkers, you can maintain trust with your audience and ensure you stay one step ahead of the competition.
Hopefully, this list of the best solutions available today can help you get started. Choose the tool that best fits your resources and requirements, and start integrating AI detection into your content workflow today.
More resources:
Featured Image: Sammby/Shutterstock
SEO
Mediavine Bans Publisher For Overuse Of AI-Generated Content
According to details surfacing online, ad management firm Mediavine is terminating publishers’ accounts for overusing AI.
Mediavine is a leading ad management company providing products and services to help website publishers monetize their content.
The company holds elite status as a Google Certified Publishing Partner, which indicates that it meets Google’s highest standards and requirements for ad networks and exchanges.
AI Content Triggers Account Terminations
The terminations came to light in a post on the Reddit forum r/Blogging, where a user shared an email they received from Mediavine citing “overuse of artificially created content.”
Trista Jensen, Mediavine’s Director of Ad Operations & Market Quality, states in the email:
“Our third party content quality tools have flagged your sites for overuse of artificially created content. Further internal investigation has confirmed those findings.”
Jensen stated that due to the overuse of AI content, “our top partners will stop spending on your sites, which will negatively affect future monetization efforts.”
Consequently, Mediavine terminated the publisher’s account “effective immediately.”
The Risks Of Low-Quality AI Content
This strict enforcement aligns with Mediavine’s publicly stated policy prohibiting websites from using “low-quality, mass-produced, unedited or undisclosed AI content that is scraped from other websites.”
In a March 7 blog post titled “AI and Our Commitment to a Creator-First Future,” the company declared opposition to low-value AI content that could “devalue the contributions of legitimate content creators.”
Mediavine warned in the post:
“Without publishers, there is no open web. There is no content to train the models that power AI. There is no internet.”
The company says it’s using its platform to “advocate for publishers” and uphold quality standards in the face of AI’s disruptive potential.
Mediavine states:
“We’re also developing faster, automated tools to help us identify low-quality, mass-produced AI content across the web.”
Targeting ‘AI Clickbait Kingpin’ Tactics
While the Reddit user’s identity wasn’t disclosed, the incident has drawn connections to the tactics of Nebojša Vujinović Vujo, who was dubbed an “AI Clickbait Kingpin” in a recent Wired exposé.
According to Wired, Vujo acquired over 2,000 dormant domains and populated them with AI-generated, search-optimized content designed purely to capture ad revenue.
His strategies represent the low-quality, artificial content Mediavine has vowed to prohibit.
Potential Implications
Lost Revenue
Mediavine’s terminations highlight potential implications for publishers that rely on artificial intelligence to generate website content at scale.
Perhaps the most immediate and tangible implication is the risk of losing ad revenue.
For publishers that depend heavily on programmatic advertising or sponsored content deals as key revenue drivers, being blocked from major ad networks could devastate their business models.
Devalued Domains
Another potential impact is the devaluation of domains and websites built primarily on AI-generated content.
If this pattern of AI content overuse triggers account terminations from companies like Mediavine, it could drastically diminish the value proposition of scooping up these domains.
Damaged Reputations & Brands
Beyond the lost monetization opportunities, publishers leaning too heavily into automated AI content also risk permanent reputational damage to their brands.
Once a determining authority flags a website for AI overuse, it could impact how that site is perceived by readers, other industry partners, and search engines.
In Summary
AI has value as an assistive tool for publishers, but relying heavily on automated content creation poses significant risks.
These include monetization challenges, potential reputation damage, and increasing regulatory scrutiny. Mediavine’s strict policy illustrates the possible consequences for publishers.
It’s important to note that Mediavine’s move to terminate publisher accounts over AI content overuse represents an independent policy stance taken by the ad management firm itself.
The action doesn’t directly reflect the content policies or enforcement positions of Google, whose publishing partner program Mediavine is certified under.
We have reached out to Mediavine requesting a comment on this story. We’ll update this article with more information when it’s provided.
Featured Image: Simple Line/Shutterstock
SEO
Google’s Guidance About The Recent Ranking Update
Google’s Danny Sullivan explained the recent update, addressing site recoveries and cautioning against making radical changes to improve rankings. He also offered advice for publishes whose rankings didn’t improve after the last update.
Google’s Still Improving The Algorithm
Danny said that Google is still working on their ranking algorithm, indicating that more changes (for the positive) are likely on the way. The main idea he was getting across is that they’re still trying to fill the gaps in surfacing high quality content from independent sites. Which is good because big brand sites don’t necessarily have the best answers.
He wrote:
“…the work to connect people with “a range of high quality sites, including small or independent sites that are creating useful, original content” is not done with this latest update. We’re continuing to look at this area and how to improve further with future updates.”
A Message To Those Who Were Left Behind
There was a message to those publishers whose work failed to recover with the latest update, to let them know that Google is still working to surface more of the independent content and that there may be relief on the next go.
Danny advised:
“…if you’re feeling confused about what to do in terms of rankings…if you know you’re producing great content for your readers…If you know you’re producing it, keep doing that…it’s to us to keep working on our systems to better reward it.”
Google Cautions Against “Improving” Sites
Something really interesting that he mentioned was a caution against trying to improve rankings of something that’s already on page one in order to rank even higher. Tweaking a site to get from position six or whatever to something higher has always been a risky thing to do for many reasons I won’t elaborate on here. But Danny’s warning increases the pressure to not just think twice before trying to optimize a page for search engines but to think three times and then some more.
Danny cautioned that sites that make it to the top of the SERPs should consider that a win and to let it ride instead of making changes right now in order to improve their rankings. The reason for that caution is that the search results continue to change and the implication is that changing a site now may negatively impact the rankings in a newly updated search index.
He wrote:
“If you’re showing in the top results for queries, that’s generally a sign that we really view your content well. Sometimes people then wonder how to move up a place or two. Rankings can and do change naturally over time. We recommend against making radical changes to try and move up a spot or two”
How Google Handled Feedback
There was also some light shed on what Google did with all the feedback they received from publishers who lost rankings. Danny wrote that the feedback and site examples he received was summarized, with examples, and sent to the search engineers for review. They continue to use that feedback for the next round of improvements.
He explained:
“I went through it all, by hand, to ensure all the sites who submitted were indeed heard. You were, and you continue to be. …I summarized all that feedback, pulling out some of the compelling examples of where our systems could do a better job, especially in terms of rewarding open web creators. Our search engineers have reviewed it and continue to review it, along with other feedback we receive, to see how we can make search better for everyone, including creators.”
Feedback Itself Didn’t Lead To Recovery
Danny also pointed out that sites that recovered their rankings did not do so because of they submitted feedback to Google. Danny wasn’t specific about this point but it conforms with previous statements about Google’s algorithms that they implement fixes at scale. So instead of saying, “Hey let’s fix the rankings of this one site” it’s more about figuring out if the problem is symptomatic of something widescale and how to change things for everybody with the same problem.
Danny wrote:
“No one who submitted, by the way, got some type of recovery in Search because they submitted. Our systems don’t work that way.”
That feedback didn’t lead to recovery but was used as data shouldn’t be surprising. Even as far back as the 2004 Florida Update Matt Cutts collected feedback from people, including myself, and I didn’t see a recovery for a false positive until everyone else also got back their rankings.
Takeaways
Google’s work on their algorithm is ongoing:
Google is continuing to tune its algorithms to improve its ability to rank high quality content, especially from smaller publishers. Danny Sullivan emphasized that this is an ongoing process.
What content creators should focus on:
Danny’s statement encouraged publishers to focus on consistently creating high quality content and not to focus on optimizing for algorithms. Focusing on quality should be the priority.
What should publishers do if their high-quality content isn’t yet rewarded with better rankings?
Publishers who are certain of the quality of their content are encouraged to hold steady and keep it coming because Google’s algorithms are still being refined.
Featured Image by Shutterstock/Cast Of Thousands
SEO
Plot Up To Five Metrics At Once
Google has rolled out changes to Analytics, adding features to help you make more sense of your data.
The update brings several key improvements:
- You can now compare up to five different metrics side by side.
- A new tool automatically spots unusual trends in your data.
- A more detailed report on transactions gives a closer look at revenue.
- The acquisition reports now separate user and session data more clearly.
- It’s easier to understand what each report does with new descriptions.
Here’s an overview of these new features, why they matter, and how they might help improve your data analysis and decision-making.
▶ ️We’ve introduced plot rows in detailed reports. You can now visualize up to 5 rows of data directly within your detailed reports to measure their changes over time.
We’ve also launched these new report features:
🔎: Anomaly detection to flag unusual data fluctuations
📊:… pic.twitter.com/VDPXe2Q9wQ— Google Analytics (@googleanalytics) September 5, 2024
Plot Rows: Enhanced Data Visualization
The most prominent addition is the “Plot Rows” feature.
You can now visualize up to five rows of data simultaneously within your reports, allowing for quick comparisons and trend analysis.
This feature is accessible by selecting the desired rows and clicking the “Plot Rows” option.
Anomaly Detection: Spotting Unusual Patterns
Google Analytics has implemented an anomaly detection system to help you identify potential issues or opportunities.
This new tool automatically flags unusual data fluctuations, making it easier to spot unexpected traffic spikes, sudden drops, or other noteworthy trends.
Improved Report Navigation & Understanding
Google Analytics has added hover-over descriptions for report titles.
These brief explanations provide context and include links to more detailed information about each report’s purpose and metrics.
Key Event Marking In Events Report
The Events report allows you to mark significant events for easy reference.
This feature, accessed through a three-dot menu at the end of each event row, helps you prioritize and track important data points.
New Transactions Report For Revenue Insights
For ecommerce businesses, the new Transactions report offers granular insights into revenue streams.
This feature provides information about each transaction, utilizing the transaction_id parameter to give you a comprehensive view of sales data.
Scope Changes In Acquisition Reports
Google has refined its acquisition reports to offer more targeted metrics.
The User Acquisition report now includes user-related metrics such as Total Users, New Users, and Returning Users.
Meanwhile, the Traffic Acquisition report focuses on session-related metrics like Sessions, Engaged Sessions, and Sessions per Event.
What To Do Next
As you explore these new features, keep in mind:
- Familiarize yourself with the new Plot Rows function to make the most of comparative data analysis.
- Pay attention to the anomaly detection alerts, but always investigate the context behind flagged data points.
- Take advantage of the more detailed Transactions report to understand your revenue patterns better.
- Experiment with the refined acquisition reports to see which metrics are most valuable for your needs.
As with any new tool, there will likely be a learning curve as you incorporate these features into your workflow.
FAQ
What is the “Plot Rows” feature in Google Analytics?
The “Plot Rows” feature allows you to visualize up to five rows of data at the same time. This makes it easier to compare different metrics side by side within your reports, facilitating quick comparisons and trend analysis. To use this feature, select the desired rows and click the “Plot Rows” option.
How does the new anomaly detection system work in Google Analytics?
Google Analytics’ new anomaly detection system automatically flags unusual data patterns. This tool helps identify potential issues or opportunities by spotting unexpected traffic spikes, sudden drops, or other notable trends, making it easier for users to focus on significant data fluctuations.
What improvements have been made to the Transactions report in Google Analytics?
The enhanced Transactions report provides detailed insights into revenue for ecommerce businesses. It utilizes the transaction_id parameter to offer granular information about each transaction, helping businesses get a better understanding of their revenue streams.
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