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How Human-Like Is Content at Scale for SEO Writing in Bulk?

Testing Content at Scale's humanlike writing ability for SEO, this review analyzes AI-generated articles from multiple sources using several AI detectors, finding it produces quality content that passes as human-written but has some weaknesses regarding links, grammar, and meeting Google's E-E-A-T criteria. Here's my take.
Updated February 2, 2024
A robot writing the constitution in a room full of other robot politicians, made with Midjourney
A robot writing the constitution in a room full of other robot politicians, made with Midjourney

If there’s one solid proof of AI “replacing” human writers, then Content at Scale is on the right track to getting us there. It was designed for seamless content creation, it has become the go-to AI writing tool for many content publishers, marketing agencies, and independent freelance writers. We actually spoke to Justin McGill a few months back when he got interviewed by Wes Powell with our Meet The Founder Series. I liked his vision a lot. But how humanlike is the tool he stands behind?

Content at Scale claims to be the most humanlike AI writer. Unlike ChatGPT, Claude, and sometimes even Koala, Content at Scale is working on writing less robotic and less monotonous content. It also does this at a long-form scale. They have also claimed that it even has the ability to mimic distinct human writing styles and brand voices, making this AI tool ideal for writers who want to make some magic happen in their content creation process.

Not just that—Content at Scale also writes content that is already optimized for search engines. Is that true? I’ve tested the tool for hours to try and figure out how much moat it actually has. Here’s my honest review of my findings, where I hopefully answer questions you might have regarding the effectiveness of its writing sounding like a human and if it’s worth the price.

How Content at Scale Writes Human-Like Content

Content at Scale, with its latest updates in Version 3 (V3), is now more advanced in capturing the nuances and quality of human writing. According to Julia McCoy, the president of Content at Scale, Content at Scale V3 focuses on producing content that uses more active voice to make it sound more direct and less dull, unlike typical AI-generated texts. This recently came out, so it’s a rather huge development in the AI writing tool arsenal.

As we know, AI is pre-trained to generate objective responses, so it tends to use more passive voice a lot to neutralize the tone of the content it produces, which is why it often lacks some personal touch, especially when crafting informative content. While passive voice doesn’t necessarily make writing sound robotic, it’s not as engaging for informational-based content.

Content at Scale also focuses on forming dynamic sentence structures, mirroring the natural flow of human speech patterns. It deviates from the formulaic writing syntax of average AI by using variability in text compositions and word choices. Obviously, Content at Scale tries quite hard to eliminate factors that may contribute to its own AI-generated content getting flagged as AI content by AI detection tools.

Speaking of AI detection, it’s still important to note that humanlike content is not all about passing AI detectors. For the purposes of this article, please know that it’s not only the tones and the wordings we’re considering when checking for AI content.

The content’s ability to satisfy human queries and meet the audience’s intent is also a factor to consider to determine whether or not written content is humanlike. And I’d argue this is more important than basing content authenticity on detectors. After all, AI is training to become as helpful as humans, so for AI content to be humanlike, it should really make sense and meet a reader’s expectations.

Using Content at Scale

Content at Scale is not a single-service platform. It has many features, such as its very own assistive AI chatbot called AIMEE that can do more than ChatGPT, Prompt library that lets you get exactly your desired AI output, blueprints that offer customizable templates and content layouts, AI agents that provide expert guides in writing for different niches, RankWell for search engine optimization (SEO), its own AI detection tool, and of course, its content production suite.

This AI writing platform can produce both short-form and long-form articles for you in minutes with minimal human input, which can save tons of hours spent writing. Unlike other AI copywriting tools, Content at Scale also gives you options on what input you want your content to be based on.

You’ll have 6 sources to write content from:

Keyword

This is a great choice if you’re starting from scratch. Here, you can enter the specific keyword you want your content to rank for. This approach is also more hands-on in calibrating the rankability of your chosen keyword.

Since keywords are a crucial aspect of SEO, it’s important to check the popularity and relevance of the keyword you have in mind to the current trends of your industry to ensure your content won’t end up buried in the search engine’s grave.

I did some keyword research using Content at Scale’s Keyword Research tool to get an overview of how well my target keyword, “super artificial intelligence” will perform, and here’s what I got:

The result showed that the keyword super artificial intelligence has a 6k monthly search volume, a keyword difficulty (KD) score of 39, a cost-per-click (CPC) that amounts to $10.81, and an accelerating trend curve with some significant increase from October to November 2023, which shows some potential for it being a relevant topic.

After getting the keyword insights, I decided to use the keyword and typed it into the text field since I wanted to create content about super AI. You may go straight to this part and skip the keyword research if you want, but if you’re curious, I’d recommend you perform keyword research (or at least use another tool to do so). You may also upload a CSV file if you want to use multiple keywords by clicking on the icon inside the red box, as shown below.

Aside from adding a keyword, you can also write additional context to instruct AI about what your content should entail, how it should sound to the readers, etc. You may also assign it to a team member, set the word count range, add tags, and schedule the brief for automatic post creation. You can do all these steps for the rest of the other sources, which I’ll also go through later.

As you can see from the screenshot above, we also have options here, namely, Add Source and Customize Brief. When you click Add Source, you can insert multiple links, just like what I did below (I added two from our blogs as an example, but I did not use them).

Take note: You can only add links but not media or any type of file attachments for additional sources.

To enter your title or add your headings, just go to Customize Brief. There, you can type in your title and add your headings by clicking on the plus sign under Headings.

Normally, the page will load for a few seconds for an auto-generated content outline after you click the Customize Brief button. You can still edit or add new headings and contexts as much as you like!

If you’re okay with everything, you may hit the Write Post Now button or save the brief to Content Planner or Content Calendar. I saved mine to Content Planner first, and here’s what it looked like:

Since it was not created for a post yet, I could still make some changes to it. So as long as you have not clicked the Create Posts button as shown in the screenshot above, you can edit the brief. Be careful to click on Customize Brief and the reload icon, though, as new headings will automatically generate and replace your current ones, and you will no longer be able to restore them once they’re gone.

Once you’re ready to turn your saved brief into wonderfully humanlike full-length content, just select your brief entry and click Create 1 Post. You may create multiple posts at once as well.

After you click that button, your brief entry will be In Queue status. It took mine a few minutes to generate.

Note that the duration your entry stays In Queue status may vary depending on the volume of requests received, workload, and other technical factors. I didn’t have an issue when I requested.

Once your post is created, it’s now available for your viewing. When you open it, you’ll see your AI-generated content in a text editor, and other technical SEO about the article.

Here’s mine:

Content at Scale also writes meta descriptions and creates URL slugs for you. It also shows you the real-time optimization score and SEO stats of your content so it allows for more hands-on content adjustments.

Part of Content at Scale’s SEO suite is the natural language processing (NLP) optimization that tailors content for search engines like Google that use NLP to analyze and interpret texts. You’ll be able to see more clearly how understandable and relevant the words in your article are to your chosen topic. Not only that, but Content at Scale lets you peek at the top-ranking content to see what your competitors are doing to rank.

You can get optimization feedback as well to get more insights into what you need to do more or change in your content. There’s also an on-page checklist for a guide to help optimize your content. The more checklist points are checked, the higher the optimization score you can get. Take these with a grain of salt, but they are helpful.

Now, back to the content, you can notice that Content at Scale automatically generates not only the introduction and conclusion but also a section for frequently asked questions (FAQs). While these aren’t as important for Google SEO anymore, if you genuinely want to provide helpful answers, these are good to keep.

Even though the SEO score isn’t that great (of course, it still needs work if we really want a high SEO score), I can say that the overall content reads smoothly. It’s simple with a flair yet easy to understand. It also has relevant Tweet links and direct excerpts from Twitter posts about the section’s topic, and a few hypertexts; it’s important to note that some links may be irrelevant, (like some in this AI content), so please review these.

On the whole, with this article Content at Scale wrote, I can say that this AI copywriting tool is a good package for seamless writing and content optimization with AI. But to answer the main question, “How humanlike Content at Scale writes”, we’ll get back to this AI-generated article later to test it using AI detectors. For now, let’s continue with other content sources available on this platform.

YouTube Video

Do you know that you can now turn YouTube videos into full-length blogs in an instant? Well, here’s how you do it.

Just go to the YouTube video you’re interested in, copy the link, and paste it into the text field for the URL. I chose a video about the seven stages of AI, so I wrote that as my keyword.

As you may notice, YouTube and other content sources (except Keyword) don’t have options like Add Source and Customize Brief. Upon checking, these options are only available when you select Keyword as the content source, so if you’re okay with the details you added, you can just save it or go ahead and click Write Post Now.

Here’s a glimpse of the AI-generated blog that Content at Scale transformed from a video format in just a few minutes!

As you see, the title from the screenshot above was 100% AI-generated, which I affirm was relevant to the title of the YouTube video’s title and content. Also, if you check, the video I used for this content is over eight minutes long. I had this content ready in less than the entire length of the video.

Looking at the table of contents, it was all good until I reached the FAQs part. Although the number of stages wasn’t explicitly stated in the title, the two questions inside the red boxes can lead to confusion. Like, how many stages does AI really have? Is it seven? Or four?

On the other hand, the body of the content did quite a good job. Apart from the flow and engaging style of the writing in this one, Content at Scale referenced several reliable sources. This highlights Content at Scale’s ability to research and back up the information it claims, though some of the pages linked were not connected or relevant, and some parts of the paragraphs were inappropriately hyperlinked.

Below was the page where the anchor text “One study by PwC predicts” redirected me.

The hyperlink was good so far since the page contained content relevant to what the anchor text suggests. However, when I checked the other hypertexts, they were not really useful at all.

The anchor text, “partners or platforms” was too vague and linked to another page, which talked about machine learning, not about any business partners or platforms as we can see from the screenshot below.

That said, it’s highly recommended to check every interlink or outbound link in AI-generated articles like this (not only when using Content at Scale) to ensure they link to a relevant article or proper webpage and the anchor texts aren’t misleading.

Overall, along with the content’s stylized format, Content at Scale almost nailed writing this content. Imagine how much time you can save by using Content at Scale to summarize video content for you into a full-length blog. If an ordinary human were to do this, the process would take hours and involve a number of rewatch hours to get the content right.

Custom Audio File

You can also use an audio link as the source of content you want Content at Scale to create. Just make sure that the link is an mp3 URL with a file name extension.mp3. Otherwise, you won’t be able to proceed with saving or writing the post.

Make sure that the audio is available online because Content at Scale does not allow users to directly upload audio from the computer—at least, not yet. If you have an audio file on your device you want to use for your content creation, the best thing to do is to upload it to internet archives and copy its mp3 link once uploaded.

The audio I used was a 28-minute file that discusses the advances in generative AI, and this’s what I got after a few minutes of waiting:

Content at Scale got most of the article right. It’s just that inserting the phrase, “Boost Your Business” into the title seemed to come out of nowhere. I scanned and skimmed the 3500+ word long article, and though it talked about the relevance of the advancement in generative AI to the world of business in some paragraphs, I don’t think that phrase should go there.

The article was meant to talk about the advancements in generative AI and how they matter to different industries and job markets, not to give tips or focus on how to boost a business, hence making the phrase seem inappropriate. The two parts of the title seem disconnected as well so it needs a little rephrasing.

If you look carefully at the table of contents, you’ll see there are duplicate titles as well. Remember, duplicates in headings and paragraphs may affect your SEO. It’s already a great bonus that Content at Scale has an SEO tool on its platform; you’ll just have to double-check everything to ensure the optimal results for the content that you publish.

Content-wise, I see that the overall content caters to the audience's queries. However, I’ve noticed minor faults in the grammar syntax; see, for example, the screenshot below.

Some sentences, including the very first one from the screenshot, aren’t clear and understandable enough for average readers. There are some issues with the readability of the texts. The words “legally” and “speaking” were also conjoined to form a compound word when they shouldn’t be.

Besides the syntax, I also noticed minimal convention errors in writing, particularly in placing a comma after an introductory element in a sentence, making it somewhat incoherent and difficult to understand. Other than that, I saw no other critical issues with the article.

No major discussions were out of context. The faults were minimal and mostly found in technical aspects only. But it’s still important to remember that delivery affects the quality of the audience’s reading experience. I would say this isn’t good straight out of the box. You still need to go through and analyze.

Existing Blog Post URL

Content at Scale lets you refresh and enhance your published blog articles to keep them up-to-date and relevant. This is actually an extremely underrated feature that I haven’t really seen anywhere else.

Here, I chose a blog post from February 2023 about why we should not fear AI. Wanted to see if there were any new updates and how it would recreate the topic.

I was expecting Content at Scale to rewrite only the main content, but surprisingly, it updated the title too. See the screenshot below.

Personally, I’d prefer to retain the phrase, “not fear AI” in the title like in the original one (Why the Best SEOs will Embrace AI, Not Fear It), since it gives a more human feel to the topic, addressing the most relevant emotion associated with the content’s subject, which may resonate more with the humanness of the readers.

It was a good title, nonetheless. And I see what Content at Scale did there. Perhaps, changing the title is necessary to better tailor it to the new content structure, as part of its algorithm when rewriting and optimizing existing blogs. So, if you want to refine just your old content alone and keep your current blog URL, make sure the new version still fits your original title and meta description. If you’re okay with fully revising every aspect of your article, then you can let Content at Scale take over the whole process.

Content at Scale is great at what it does (but not all the time). With real-time research from Google, this AI writer can provide more depth and the latest insights into your newly written article. However, like other AI writing tools, it’s not totally in sync with real-time updates on the internet. I think it takes months or a few years as well—like other AIs—to be able to provide the most accurate piece of information.

Take this for example.

The original content stated “2022”, which I confirm is correct after checking with Google. The problem I saw with this one is the vagueness of the date in that sentence and its potential to mislead. What if you publish this AI content in 2025—for example—and your reader reads that phrase, “last year” in that context? The reader will most likely interpret it as “2024”, right?

If so, the information isn’t accurate and reliable anymore, because Google spent 224 billion dollars on ads in 2022, not 2024. So, a pro tip is not to use vague adverbs when referring to a date or year, because obviously, our clock’s moving forward. So, in this case, I can’t guarantee that relying on Content at Scale’s output without reviewing it can really level up the quality of your work.

Like in the content generated from the custom audio file, there are also a few writing syntax issues with this one. In the same case, Content at Scale formed compound words using two words that don’t normally go together.

This is the second article I’ve seen with this issue so far, so I think Content at Scale still needs more polishing when it comes to mastering the basics of English Grammar. Also, for context, I use Grammarly so I can easily spot writing mistakes.

Here’s what's funny too. If you go back to the last screenshot above and read the first sentence in the paragraph under the heading Nailing Down Technicalities for Higher Rankings, you’ll see how Content at Scale credited itself.

“...thanks to generative AI like me.

To be honest, that phrase really caught me off guard. Imagine publishing this new version of your old article thinking it was all good, and that your readers will think it was still you for its humanlike quality, only to be exposed like that. Wouldn’t that be ridiculously embarrassing? Anecdotal example, but I find this to be ironically hilarious!

So, the key takeaway here is always to make sure you review what Content at Scale—or other AI—writes for you, or else, they may literally take your authorship, just like what they did with this one.

Now, for the good part, the first thing I noticed was it retained the voice and the writing style—including the nuances—of Justin, the original author (at least, for me). Though it also significantly reduced the personal touch in the new article compared to the old one, it introduced new subjects relevant to the overall revised content that were not mentioned or elaborated before in the original version.

The new article entered the discussions on how voice search optimization, link building, and social media help with SEO into the scene, which are actually good additions making the blog post more comprehensive. The overall new content is also more structured, with more headings discussing the subtopics into more organized content sections.

So, did Content at Scale give the old blog a makeover and enhancements? Yes.

Did it get everything right? No. So still monitor what an AI does to your work.

But indeed, the plausible things done to the new and AI version of the article are way weightier than the mistakes it’s committed.

Podcast Episode

Now, using a podcast as the source, let’s check how Content at Scale converts a podcast episode into engaging blog content for us. Remember, when you select this option as a source, you can only use podcast links and nothing else, not even the other audio formats.

I particularly instructed it to avoid linking unnecessary or irrelevant pages, as you see below.

Despite the vagueness of the title of the podcast, Content at Scale managed to make it more specific and narrow down its focus. And since this AI trend is pretty new to me (it was an interesting discovery for me, to be honest), I, myself, find the FAQs section most helpful in this part.

So, if you’re trying to create content for a certain niche you haven’t heard of before or aren’t very familiar with, fret no more; Content at Scale got you.

Moving on to the content, I haven’t seen major issues so far, except—still—with the hyperlinks. The anchor text—at first glance—was already okay and no longer as messed up or random as those from the previous articles Content at Scale wrote.

Seeing that anchor text (Flavor Print technology), I was expecting it to point to a relevant page, but this is where it redirected me:

It would be more acceptable if this AI content with this link was created when this page from Diageo could still be found on the internet. But even though Content at Scale wrote the article just recently, it still linked a page that cannot be or no longer be found, when there might be other relevant pages out there that still exist.

Because of that, my trust score for Content at Scale when it comes to linking other pages isn’t that high. Still, since most of the articles it produced—including this one from a podcast—didn’t sound robotic to me, I applaud its ability to write more humanlike content compared to those other AIs out there have ever written.

Document

If you think you can only use online sources like the previous ones to generate your new article, check this out.

Content at Scale allows you to upload text-based files from your local computer. It accepts documents in .docx and .pdf format, and even PowerPoint presentations (.pptx). However, you need to consider the file size and page length, as there are limits (up to 10 MB and 25 pages only recommended as of the version I used).

Also, you can only use words-based documents and presentations. Any images, videos that are not from YouTube, or audio that is not on the internet weren’t allowed, which is why I could only use audio links for audio as a source in my previous AI articles.

I see no updates regarding adding image format to the pool of content sources in this AI platform yet so far. But for sure, it’ll be a brilliant move for Content at Scale, especially with the integration of image recognition, allowing for content creation based on what’s in the photo.

Going back, I used my old assignment in college about the two types of cyberattacks in cybersecurity for the source of the new content. I wrote in the additional context above to ignore the first part of my uploaded document since it was only me summarizing another article we were tasked to read as part of the assignment. Let’s see if Content at Scale left that part out or not.

Bingo, it jumped to the second part of my document, which talked about the differences between active and passive attacks. You can see the titles of the sections about this specific topic in the table of contents from the screenshot above.

Content at Scale also considered the third part of my document that explored the ways to prevent these attacks, which is another job well done. It disregarded the first part of my document as I instructed, and repurposed my simple assignment for more informative and helpful content that can benefit businesses.

Technically, it wasn’t a perfect article, as there were a few grammatical errors. But in terms of the essence of the content, I’ve seen major improvements.

Now that I’ve tested all the sources I can use for my AI-generated content using Content at Scale, here are my thoughts:

Content at Scale definitely sounds more human than any other AIs I have ever tried. It can absolutely mimic the human voice in writing and even adapt the nuances in different writing styles. Every content produced using different sources is free-flowing and engaging, showing more life than other AI-generated articles. The articles sound natural and do not sound robotic at all.

From what I’ve observed, it’s the prominent use of the second-person point of view addressing the readers directly in all articles Content at Scale wrote for me that made its AI-produced content humanlike.

From my perspective, by using that point of view in writing, the content becomes more conversational, hence bridging a stronger connection between the content creator and the audience. That’s one great factor that makes human-to-human interaction special, which Content at Scale was able to demonstrate so far.

The only major weaknesses I’ve noted while using Content at Scale are the links and the grammar in some of the content paragraphs. If I’m being frank, I encountered these issues not a lot but more than a few times across the six articles from each available content source. Luckily, we can do something about them and correct them as we please; it just adds a few unnecessary minutes to the content revision process.

Among the six contents created using different sources, the one generated using a keyword is the best one. Based on my observation, it’s the article with the least issues and the one that nailed my queries most.

I’m not 100% certain why Content at Scale performed a bit differently in writing content using the rest of the sources. I’ve observed that more issues arose when the content was generated using a YouTube video, a custom audio file, an existing blog post URL, a podcast episode, and a document as a source. The AI-generated articles did get the gist of the original content from these sources, mostly, but not as exact as I expected them to be; what happened was more like altering some contexts instead of converting the source content into a blog.

I’m not saying Content at Scale completely changed the context of the original content in the AI version, it’s just that I’ve noticed significant changes in the overall purpose and direction of the new content it produced (Remember the title of the content produced using the custom audio file I pointed out earlier?). Perhaps, the challenges of making adjustments compared to starting with a blank canvas also apply to AIs.

Given that AIs like Content at Scale cannot pick up user queries accurately all the time, it’s clear that despite their super abilities that top the work of an ordinary man, they’re still prone to committing mistakes. So, in that sense alone, can you tell if AI can truly replace humans sooner or later?

I bet not. Even these magically written articles produced by Content at Scale still need a lot of tweaking. If you remember, we’re also talking SEO here. So even if the technicalities are intact and the essence is there, we’d still work to get our content to the top of the competition if the SEO of the content generated isn’t winning.

Yes, Content at Scale already offers big SEO help, but I attest that we can’t just leave all the SEO work to an AI that does not fully understand human behavior yet on a real human level like we do. Besides optimization, we need to consider our brand, too. If the content loses the spark of your brand message or your brand identity, would you risk using it?

Here at Gold Penguin, our writers weave blogs that mostly center on AI while catering to different intents, but despite all the dynamics and varieties in topics, we follow a blueprint that makes our content recognizable as ours.

In relation to using Content at Scale, I’d say that the core of the AI-generated content is quite fitting to the topic niche. But still, the overall content structure doesn’t align well with our existing blogs, so if we are to use articles from Content at Scale, we’d still need to work on that.

With our brand’s personal touch and everything else was done right and without the Tweets featured (since we don’t normally do that in our blogs), albeit I’ve always preferred authentic human-written content, I found these articles can be actually good for our own website if you ask me!

How Humanlike is the Content It Writes?

I’ve scrutinized the quality of the content it produced as well, but there’s still one more thing left to do that we haven’t tried yet.

This is what several AI detectors think of the first article about superintelligence that Content at Scale wrote for me from a keyword as a source. However, let me just reiterate that humanlike content is not always about passing AI detectors—quality and satisfaction of the reader’s intent are still the major keys here.

In fact, here’s a fun story:

Google used to treat AI content as spam and penalize it for going against its spam policies. On February 8, 2023, Google had a change of heart and issued a new set of guidelines regarding AI content on the web.

It’s not that Google now fully tolerates all AI content; rather, Google only approves of select AI-generated content that can actually be helpful and make sense to the readers. On top of that, Google also declared that it will reward any content—regardless of how it was produced—as long as it’s original and of high quality. AI content can also get away with Google penalties if its sole purpose is to help users without the aim or any goal of manipulating SEO rankings.

Now that we have a little more background on how AI-generated content will most likely be treated by search engines like Google once published on the internet, let’s proceed anyway with testing how humanlike the Content at Scale article is.

Content at Scale

As I’ve mentioned earlier, Content at Scale has its very own AI detector in its platform. This might be a little biased… but here’s what it reported on how humanlike its own content is.

Going through the entire article, I saw that the majority of the sentences were highlighted in green, some in red, and a few in blue, light yellow, yellow, and orange, scattered throughout the whole content.

What do those colors mean?

  • Blue & Green - very humanlike content
  • Light Yellow - unclear if human or AI content
  • Yellow & Orange - probably AI content
  • Red - very robotic content

I don’t know with Content at Scale why it has different color indications for the same AI assessment of the content texts, but I assume the colors are supposed to represent the different levels of AI content probability from high to low, just like in ROYGBIV. Still, what matters is it Passes as Human.

Copyleaks

Using a different AI detection tool, let’s see if the majority of the content is still humanlike or if there are major changes in the result.

Copyleaks does not indicate the level of probability in terms of content being AI-generated like Content at Scale’s AI detector does. Instead, it only tells if there’s AI content detected, as you can see below.

Copyleaks recognized the introduction up to the table of contents as AI content, hence highlighting them in red, which I estimate is less than 25% of the entire article. However, when I removed all the highlighted texts and ran the detector again, Copyleaks showed This is human text as the new result.

So far, these results from Copyleaks and Content at Scale itself can be good indicators that the Content at Scale’s article is indeed humanlike. But still, we need to do a few more scans using other known reliable AI detectors to make this test unbiased.

Originality.ai

Like Content at Scale’s AI detector, Originality.AI identifies the level of probability or likeliness of a piece of text from overall content being AI-generated or human-written. Since it is trusted by industry leaders and claims to achieve 99% AI detection accuracy, I ran the AI content using this AI detection tool, and below was the result.

I scrolled through the scanned content, and everything was highlighted in green, which means that Content at Scale’s AI content passed Originality.AI’s detection as human-written, not to mention that the likelihood of the content being not AI-generated ranged from 92% to 99% from paragraph to paragraph, resulting in a confidence score of being 96% original. Content at Scale did very well again with this one.

GPTZero

GPTZero is one of the most reliable AI detectors verified by TechCrunch and other independent sources. Provided that, I believe this AI detection tool has been doing a good job, so let’s see the result with this one.

Honestly speaking, I was expecting a different result this time because I could not believe what I was seeing, but GPTZero only gave the content a 7% AI probability score.

Is Content at Scale’s AI-generated content really that humanlike? Let’s do one more test!

Undetectable AI

We know that Undetectable AI is also a popular and widely used AI detection tool. Over 4 million users trust it, so I also gave it a try.

Surprisingly, even to this well-trusted AI detector, the article that Content at Scale wrote appears human. It even scored 100% human as you can see from the lower left corner of the screenshot. See all those green marks?

These results are fantastic for fully AI-generated content, indeed (there were no edits made, I just copied and pasted it as it is!), but that doesn’t necessarily mean we can ask Content at Scale to write whatever content that comes to our mind.

Even though this AI platform nailed writing humanlike content, remember, AI doesn’t have any real-world experiences, which giant search engines like Google heavily consider in judging the quality of published articles.

Google has E-E-A-T standards for ranking web pages on the SERP, which stands for experience, expertise, authoritativeness, and trustworthiness. To demonstrate these qualities in writing for real, of course, we need real human writers as only real humans can give us profound and relevant insights into certain subjects based on firsthand observations.

So, the point is, even if it writes humanlike content very efficiently—in the sense that it answers user queries and passes AI detection, there are still types of content that only humans can write best. For instance, a product or service review. Since AI, like Content at Scale, doesn’t have direct access to or interactions with any real-world objects or events, notwithstanding its greatness, we see the gaps are still so evident.

The Verdict: Does It Produce Human-Like Writing?

I bet you already know the answer, but still, here’s a breakdown of my final thoughts after all the explorations and experimentations I’ve done using the tool for this review, which I hope helps you decide for yourself whether this tool is really worth it.

Considering the overall quality, delivery, usefulness, levels of AI detected, and Google’s criteria for ranking pages, my answer to the question is yes, but not a perfect yes.

Content at Scale did an excellent job, but it definitely still has a few areas for improvement. Does it write like a human? Yes. Does its writing make sense and respond to the reader’s intent? A lot of times, yes. Does it produce helpful content? Certainly, yes. Does it have a good chance of having high SEO rankings? Maybe yes, when it comes to the overall quality, but with respect to E-E-A-T, I don’t think so.

What I can also say is that the real benefits of this AI writing tool—given already that it produces humanlike writing—still lie in a case-by-case scenario; if you’re using this tool to generate informative content about abstract topics from a more objective perspective, there’s not much any problem. But if you’re writing reviews or anything that requires more subjective opinions, or are simply aiming to rank for Google’s E-E-A-T criteria that any AIs can’t meet (maybe at least for now), you know what you need to do.

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Written by Dianne
Dianne writes about many of the latest trends in artificial intelligence and how they can apply to helping out your business
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