How to Humanize AI Content for Marketing Without Losing Your Voice
The Problem: All AI Marketing Content Sounds the Same
Every marketing team is relying on AI for creating its content now. There is one problem with this though. All the copy looks exactly alike. Just go through a LinkedIn feed and find the ChatGPT posts at once. They all sound the same.
The trouble with making AI copy for marketing material is that when people see something written just like that, they skip reading it. It is what the search engines also do. They filter out that kind of content based on the same criteria.
It took me six months of trial and error to understand how to write AI content that doesn't sound like it. That is what I am sharing below.
What Makes AI Content Sound Like AI
There are unique signs in AI-generated writing, recognizable by humans and computers alike.
Uniform sentence length. Take an excerpt from ChatGPT, and count the number of words in every sentence. Almost all sentences are 15-22 words in length. Humans don't write this way. Seven words in one. Thirty-two in another. Eleven in the following sentence.
Predictable word choices. When you are trying to predict the next word based on previous words, AI always chooses what is statistically most likely. It results in smooth, but extremely predictable writing. Humans are creative and unpredictable when choosing words. "The project crashed." "The project ran into trouble."
Generic examples. If a human describes the example, they will use their experience. "The churn rose to 8% last month, so we started calling cancellations in under 24 hours." An AI example is generic and dry. "For instance, the company would implement analytics to retain customers."
Transition stuffing. "Furthermore," "additionally," "moreover," "in conclusion." These phrases pop up almost at every second line of AI content. They are just filler words without much meaning.
Such style leads to distinct statistical markers. Detectors analyze the level of perplexity and burstiness, distribution of tokens. Yet, if you don't have access to such tool, your readers would still detect a difference in writing styles.
The Manual Approach: 45 Minutes Per 1,000 Words
One way to humanize AI content is to do so manually. It usually takes around 45 minutes per thousand words. Here is the process.
- Delete every third sentence and rewrite it completely. Do not attempt to make changes. Delete the sentence and replace it with another sentence, completely new.
- Make your sentences very varied in length. Find any paragraph where all the sentences are about the same length. Rewrite the paragraph so there is at least one sentence below eight words and one above 25.
- Replace each generic example with a specific case. For instance, if the AI has said "companies can take advantage of automation technology," replace it with something like "our invoice process was automated using Zapier and saved us 6 hours a week."
- Cut all transition words. You do not need "furthermore," "moreover," "additionally," or "in conclusion." There should always be a logical flow between two sentences.
- Include your opinion. AI content cannot have opinions. It uses transitions like "some experts suggest," or "it may be advantageous." Take sides. Tell readers why something is bad or why something is the right thing to do.
Humanizing AI this way is effective but not scalable. If you produce over three or four articles a week, you will want a better solution.
The Automated Approach: 3 Seconds Per Article
AI humanizers automate everything that manual humanizers do structurally. The good AI humanizers manipulate perplexity, burstiness, and tokens distribution but don't alter any meanings in your copy.
For marketing purposes, I always use Humanize AI Pro. It requires about 3 seconds for each article irrespective of its length.
Here is what happens to the text when you put your marketing content into AI humanizer:
- The average length of the sentences varies,
- Some predictable word combinations turn into more random ones,
- Rhythm becomes more human-like.
What doesn't happen to your copy? Well, nothing changes about the information, argument, examples, and overall structure. Just some mathematical manipulations to make the text less like machine-generated copy and more like human-written one.
After humanization, I spend another 10 minutes per article making sure it has some personal examples added, examples aren't general at all, and the tone is right. Instead of 45, it now takes only 10.
Before and After: Real Marketing Content Examples
Here is an actual case I came across from a marketing email I wrote last month.
Before humanization: "Our software gives businesses an all-around solution for their content creation and optimization needs. Businesses can benefit greatly by integrating advanced artificial intelligence technology into their content creation process."
After humanization: "This solution is created based on our experience. Our company needed to create content for marketing purposes. It took us 20 hours weekly to finish our content creation tasks. Now it takes 6 hours to make the same result. Our interface is really easy to use because we were tired of using tools which would take a lesson before using them."
In these two sentences, the same idea comes across but with completely different impacts. The first one seems like something written by a PR professional. The second one looks like something said by a founder of a startup to his client.
Another example:
Before: "Artificial intelligence changes the approach to content marketing among companies. With some advanced tools, marketers can create large volumes of quality content while retaining consistency of their brand voice."
After: "The AI changed our marketing game! From publishing twice monthly, now we can publish twice a week. The voice remains ours since everything that comes from AI is run through humanizers first."
In both cases, we see the same message but with significantly different approaches.
Building It Into Your Workflow
The most effective outcomes can be achieved when humanization is integrated into the content creation process.
Step 1: Write a draft using AI. Provide a detailed prompt containing your target audience, key points, and the tone you require.
Step 2: Incorporate personal touches. Prior to humanization, include numbers, examples, and opinions. All of these aspects will remain intact during humanization.
Step 3: Send it to Humanize AI Pro. Choose "Formal" for professional content, "Casual" for social media posts, and "Academic" for white papers.
Step 4: Make a quick edit. Read through the edited version, and correct anything that deviates from your brand's voice. This should not take more than ten minutes.
Step 5: Post it online.
On average, the entire workflow requires ninety minutes per article. Without AI, the same piece would have taken four to six hours to complete. If the content lacked humanization, it would perform poorly in front of your audience and search engines.
Begin by sending one article through the process. See how well it performs compared to other articles on your website. With better engagement rates, you can make it your standard workflow. Get started for free at Humanize AI Pro.
Dr. Sarah Chen
AI Content Specialist
Ph.D. in Computational Linguistics, Stanford University
10+ years in AI and NLP research