I went to Google to search for “how to humanize AI content.”
I saw dozens of AI tools to humanize your AI-generated texts.
I was like, “Come on, if you needed AI to humanize content, why do you even want to humanize it?”
AI may humanize text; on the other hand, AI trains itself to detect AI-written content. So you don’t need another AI tool for it.
Especially when Google has now started asking quality raters to assess if the main content of the page is auto- or AI-generated, and if that’s the case, it should be rated as the lowest, as per the tweet by Aleyda Solis from Search Central Live, Madrid.
I’ve spent 15 years of my career utilizing content strategy, writing, and optimization to build SEO and other marketing strategies. I’ve realized that marketing has always been user-focused and platform-driven, not the other way around.
So it’s time you start bringing your human insights or flavour to make your content game sustainable for decades.
But how are you gonna do it? Let’s learn from some examples.
1. You decide your content approach and not AI.
Approaching your content means determining,
- What message do you want to deliver?
- How do you want to say it?
- What format, style, and tone will you use based on your audience and goal?
For example, let’s talk about this content. As I mentioned above, I searched for it on Google, and there was not a single article explaining how to actually humanize ChatGPT-generated content but talking about the tools that can help you humanize it.
Everyone is looking to know how AI tools can help in humanizing AI content
So my approach to writing this content became opinion-based: “I want to let SEOs, content strategists, and content writers know that humanizing content means actually humanizing it and not using AI to do it for you again because it will not help you gain sustainable results.”
For one of our clients into diamond jewelry, we wanted to write their first content on diamond gift ideas during Women’s Day, and the approach we took was-
“Diamond jewelry gift ideas for Indians on Women’s Day, categorized by the special role a woman plays in your life.”
And this is how it looked like:
For our diamond jewelry client at Missive Digital, we changed the content approach to humanize AI content
Now, let’s take another example. You want to write a blog on “Why sleep is important for productivity.”
You can approach this blog in the following ways:
- Scientific: Research studies, expert opinions, data-driven facts
- Storytelling: Personal experience or relatable burnout story
- Relatable: Memes, daily-life analogies, pop culture references
- Inspiring: Quotes, lifestyle perspective, wellness angle
In short, even if you want AI to create content for you, your content approach can humanize the readability of your AI-generated text.
2. You create your content outline before you ask AI.
Before AI, most writers (including me) used to research on Google SERPs on what competing blogs are covering in terms of blog sections and subsections before we create ours.
Then, we used to try the Skyscraper technique to create better content than the rest.
Then AI entered, and we literally stopped creating outlines on our own and started asking AI to do it for us.
And that’s why almost all content on Google SERPs looks the same nowadays.
Let’s take a look at different Table of Contents from different blogs on “React vs Angular:”
Below is the website #1
Outline by AI looks the same
Below is the website #2
Outline by AI looks the same
I’m not saying that these outlines are incorrect or irrelevant for the target audience, but create your version before you go to AI so that you can have a different flow.
I would love to test this: Start with the comparison table right after the introduction that covers the definition, benefits, challenges, features, comparison, and when to choose.
Based on your content approach and target audience, decide the tentative flow you feel your audience will want to follow.
If you don’t create the outline, AI may make mistakes because they are not subject matter experts; they can bring it up as per the data scrapped from the web and cannot even predict what we want to put out as a message.
Take a look at how I struggled to explain ChatGPT when writing a case study for a local SEO software company.
