Precisely why AI-Generated Content Marketing Can not Fully Replace Humans

Artificial intelligence (AI) is the simulation of human intelligence by machines. Once a thing of technology fiction, AI is now a part of our everyday lives. We all use it in ways we might not even realize — through electronic assistants like Siri plus Alexa, facial recognition that provides us access to devices, plus “smart” household appliances.

We even discover AI-powered writing in action when Google (and the like) finish sentences for us once we write emails.

But what about AI-generated articles marketing? Can machines create quality digital content that will engages real human customers?

The short answer: yes. The long answer: it’s complicated.

There’s no doubt that AI-generated content marketing articles are getting smarter and more “human” as time goes on. In fact , we have all probably read articles written — at least partly — simply by machines without even knowing it.

But if you ask me (and Google, and many content advertising industry experts) we’re still a long way off from AI replacing human writers. There’s a good X factor — sympathy — that even the smartest AI-powered machine writers just can’t replicate (and likely won’t any time soon).

That said, there are ways AI-generated content marketing can be utilized by companies to make their own content strategies more knowledgeable and efficient.

In the sections that follow, we will explore AI-generated content marketing and advertising from all of these angles. We’ll cover:

  • The meaning and history of AI-generated content material marketing
  • Google’s take on AI-generated content
  • Why humans are still so important to content creation (and will be for the foreseeable future)
  • Ways to use AI-generated content tools without having to sacrifice quality

Let’s dive in.

Quick Takeaways

  • The release associated with OpenAI’s GPT tools offers powered huge growth in AI-generated content marketing.
  • Google considers AI-generated content to be in violation from the Webmaster Guidelines and thus categorizes it as spam.
  • AI-generated content equipment can generate content that will sounds human, but they cannot capture unique brand personas or write with empathy for the customer.
  • GPT and similar tools are powerful for enhancing content creation and strategies, yet are not suitable to replace human writers.

AI-generated content: definition and brief history

What is AI-generated content?

As its name suggests, AI-generated content is content created by AI-powered tools. Started in natural language generation (NLG) technology, AI-generated articles mimics human writing with its ability to scan the internet intended for data (existing content) plus summarize it the way a human writer would.

For a long time, we heard about the pending emergence of AI-generated content material marketing , but it has been slow to take. OpenAI’s release of its Generative Pre-trained Transformer (GPT) tool in 2018 changed that. With merely a small amount of input, the GPT tool can generate huge volumes of sophisticated AI-generated text.

Every version of the GPT device brings new capabilities plus higher levels of intelligence. The greatest jump occurred with the launch of GPT-3, when the tool achieved its most significant leap in skill and accuracy.

The GPT tool experienced its most significant jump in skill and accuracy with the release of the GPT-3 version.

Image Supply: SEMRush

The evolution of OpenAI’s GPT tools

GPT-1 proved that AI-generated content could be created with zero-shot performance — in other words, the tool could classify data it hadn’t seen prior to in training models, then use it to carry out tasks. GPT-2 expanded on this with a bigger dataset and more parameters for making its language processing features (like translation and summarization) even stronger.

What made the GPT-3 design so much more sophisticated than those that preceded it is its substantial size — with more than 175 billion guidelines , it was 100X larger than GPT-2. This gave it an unprecedented ability to create unique content that scans like a human wrote it.

Here’s the visual of how that number compares to other NLG tools:

GPT-3 has 175 parameters, 150+ billion more than the next largest NLG tool.

Image Source: TechTarget

Now, to give you an idea of how a lot more advanced GPT-4 is expected to be, it will have 100 trillion parameters. It hasn’ t been released yet, yet is expected to be here a while in 2022.

So what does this most mean to us regular folks without technical understanding of AI?

Basically, each GPT tool offers expanded the knowledge base where it operates — the datasets it has stored as well as the variables (parameters) by which this draws conclusions and “learns, ” — and thus the sophistication level of the content this produces has gone up with every new version.

The question remains then: on what point will it are able to the same sophistication level because actual humans?

An obvious place to turn designed for insight here is Google. Regarding content marketers, Google is extremely much the master of our fate in many respects. This determines what ranking factors will place our articles at the top of SERPs and examines what we publish with near-human ability. And as we already know, Google cares most regarding content being human-first.

If any uncertainties were arising about that using the emergence of GPT equipment, Senior Webmaster Trends Analyst John Mueller put them in order to rest in a recent Search engines SEO Hangout, where he discussed this very subject.

Let’s examine exactly what he had to say.

What Google has to say about AI-generated content

Google’s SEO Hangout: A Recap

John Mueller’s remarks regarding AI-generated content were started by a question about their recent comments on a Reddit thread, on which he stated creators should not be using AI to create content.

Reddit moderator Rohan Chaubey asked him to broaden on the topic, to which Mueller said:

“[For] us, [AI-generated content] would, basically, still fall into the group of automatically generated content. That is something that we’ ve experienced in the Webmaster Guidelines since almost the beginning… for us, in the event that you’ re using machine-learning tools to generate your content, it’ s essentially the same as if you’ re just, shuffling words around, or finding out about synonyms, or doing kind of the translation tricks that individuals used to do. ”

“My suspicion is that probably the quality of content is a little bit better than the really old-school tools, but for us it’ s i9000 still automatically-generated content, which means for us, it’ h still against the Webmaster instruction. So we would consider that will to be spam. ”

When asked if Google was capable of recognizing AI-generated content, Mueller said:

“I can’ t claim that. But for all of us, if we see that something is immediately generated, then the web spam team can definitely take action upon that. And I don’ t know how the future will evolve there, but I visualize, like with any of these other systems, there will be a little bit of a cat-and-mouse game, where sometimes people will do something, and they get away with it. And then the web junk mail team catches up, and solves that issue on a broader scale. ”

“But from our recommendation, we still see it since automatically-generated content…. Currently, it’ s all against the Site owner Guidelines. So from our perspective, if we were to run across something like that, if the web spam team were to see it, they will see it as spam. ”

You can find Sara Mueller’s full remarks about AI-generated content in the video clip below around at the twenty two minute mark.

The Takeaway

So — a pretty very clear position on the subject. It’s not totally surprising, given that Google offers continually emphasized the importance of placing your human audience before any attempts to make sure you the algorithm. It’s precisely why keyword stuffing is so seriously penalized, and why Google has released guidelines such as E-A-T/YMYL and the Page Encounter update.

Google and yahoo its users to have a positive encounter on their site. To them, which means finding content that has been legitimately created — by a individual. And according to these recent comments, this human element is not negotiable and will not be any time soon when it comes to the way in which Google evaluates content.

Empathy: the By factor content marketing will usually need

If GPT tools (and other people like them) are becoming so good at writing content that sounds like a human, the reason why can’t they actually replace humans?

It comes down to one essential factor for making content marketing effective: empathy .

Content advertising is ultimately about helping people. Content helps people solve problems and address needs. It provides value just before a user ever makes a solitary purchase.

Celebrate a connection that makes people wish to know more about your brand — and then eventually become having to pay customers — because their lives will in some way be made better (or at least easier) from doing so.

In the age of information overburden that we live in today, this particular ability to empathize with users and make them feel understood is key to standing out from the masses.

Right now, AI-generated content marketing tools may assess all of the existing content material in the world and spit away pretty high-quality (and yes, human-sounding) original content depending on what’s already out there.

But these tools don’t know your customers, or the nuance that goes into making articles resonate just for them. They will don’t know your brand personality, or how to maintain the particular voice and tone which makes you original. These are the items you still need humans to perform.

Without human beings, you risk publishing precise but generic (or worse, tone deaf) content that will misses the mark for your unique audience.

All of this said, there are several ways you can utilize these powerful tools to make your content strategy more efficient and give your writers a launch point for creating the content you need.

Let’s explore 4 of these precious use cases.

Using AI-generated content advertising tools (without sacrificing quality)

Idea generation

GPT equipment can be utilized to help generate concepts around the topics you know are most important to your brand. You can give the tool starting details, such as focus keywords, and ask it to generate blog game titles or ideas for various other content pieces based on other content that already exists on the internet.

If skyscraper content is part of your own strategy or you’re looking for a way to edge out competition on certain topics, AI-generated content marketing tools can assist you do it at high volume and in very little time.

Here’s an example of a good inquiry I made in the tool for blog post ideas about content marketing. You can see the simple query at the top — “List of blog post tips for keyword ‘content marketing’” — and the 10 suggestions it generated for me in only seconds.

Blog post ideas generated by OpenAI’s AI-generated content marketing tool, GPT-3.

Image Source: Marketing Insider Team

First drafts

One place where I’ve discovered the GPT tool to be somewhat limited is in the generation of long-form text. While it can generate content that’s grammatically sound, it isn’t as nuanced because long-form content created by a human.

Nevertheless , I can see this like a helpful tool for giving writers a starting point plus asking them to expand with an AI-generated draft with more brand-specific content (like real-world illustrations and expert takes on the topic).

Information curation

AI-generated content marketing tools may help you quickly scour the web meant for statistics related to the topics you’re writing about. I produced a quick inquiry for “List of statistics about content marketing in the SaaS industry” and this is what the tool came up with:

Statistics about content marketing in the SaaS industry generated by OpenAI’s GPT tool.

Picture Source: Marketing Insider Group

The one limitation I found with this make use of case is that the statistics don’t come with sources. That said, I used to be able to easily find the original resources for most of these stats using a Google search.


This make use of case may not be the most initial (or the most necessary) given that word processors automatically edit spelling and grammar when you write. Still, it’s important to note that you can ask the tool to edit textual content you’ve written and it will do this in just seconds.

To test it, I pasted the intro to this blog post with intentional spelling errors, and the tool caught them all.

Fighting writer’s block

The use case perhaps most appreciated by human writers is the ability for AI-generated articles marketing tools to help fight writer’s block — that dreaded feeling that often will come along with a blinking cursor on the blank page. If you’re writing about a topic and you don’t know where to start, you can enter your keywords and/or title in the GPT tool to generate an introduction that gets you started. You can even enter it a few times to obtain some different ideas.

Putting it all with each other

I think the big takeaway when it comes to AI-generated content material marketing in 2022 (and for the foreseeable future) is that it should be embraced, but just as a tool — not as a replacement — for individual writers.

AI tools clearly have the capacity to help brands generate ideas at scale and better understand competitive content. But they can’t capture unique brand name personalities, messages, and market needs. Depending on them to do this puts you at risk of not only being dinged by the internet search engine powers that be (AKA Google) but of screwing up to resonate with your clients.

Over to You

Ready to boost your content marketing results with customer-focused content? The group of writers and SEO experts at Marketing Insider Group can deliver you optimized, ready-to-publish content each week for a year (or more).

Check out our own SEO Blog Writing Service or schedule a quick consultation to get started today.

The article Why AI-Generated Content Marketing Can’t Completely Replace Humans appeared first on Marketing Insider Group .

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