10 Easy Ways To Humanize AI Text In 2024
Search engines are not pleased with low-value content or text that doesn’t provide worth to visitors. So they implement humans first content policy in indexing pages to the SERP.
Humanizing AI text involves incorporating compassion, creativity, and contextual understanding of the topic. In this article, we will guide you on how to humanize AI Text or content to make it acceptable for search engines and users.
Importance Of Humanizing AI Content
AI content has several issues like authenticity, factual errors, and relevancy so there is a need to humanize AI content for user satisfaction.
With the rise of AI text generators Search Engines especially Google has also improved its algorithms. It is not that difficult to detect the AI content because of the similar patterns and repetition of sentences and phrases.
Emergence Of AI Text Generators In the Digital World
Factually speaking, there were not that many people aware of the usefulness and productivity of AI text generators. With the hype of ChatGPT AI, there is a huge reliance on digital marketers, entrepreneurs, and IT professionals on such tools.
Further AI tools help in analyzing data, trends, and insights in quick time as compared to humans. So strategic decision-making can be made easier. Not just the IT industry, it has penetrated the healthcare, transportation, and digital communication sectors.
You can do web research to image creation around your concepts in a few seconds with a GPT Prompt. That shows how their involvement can boost productivity and reduce time consumption.
Need Of Humanizing AI Content
Human involvement in AI-generated text increases readability, fact-checking, and statistical credibility. Here are a few things you need to consider while giving AI text a human touch.
Personal Experience:
Along with the AI text you can share your personal experience with products, tools, and things you practically handled. This way you can increase user engagement and satisfaction.
Increase User Trust:
User trust is another important search ranking signal enforced by Google and other search engines. A returning visitor can be a good SEO factor that will help you get more organic visitors.
Enhanced User Experience:
Presenting the raw information can hurt the user experience in some cases. So to enhance the user experience you must rely on a human to optimize the AI text for making sense of it.
Ease Of Communication
The communication gap is the bigger reason for poor user retention and fewer page visits. AI text generators work on prompts, so if they don’t get what you need for visitors, they can add irrelevant and misleading information to the results. Human touch can minimize the risk of such issues.
Humanizing AI Content And Its Impact On User Experience
Engagement Score
The human touch in AI-generated text increases the chance of user engagement and interaction.
Social Sharing
A piece of credible information quoted by a human is likely to be shared on social media platforms.
User Retention
A happy user is likely to return as compared to an unsatisfied one. So it increases user retention.
Visitor’s Trust
Visitors are more likely to trust a human rather than an AI. So human touch is required.
How To Humanize AI Text?
From the human tone to the context of the content, humanizing AI text can be done through the following components and transformation. Implement the below strategies to optimize your AI content to make it human and search-engine friendly.
Blending Compassion into AI Interactions
AI text generators can’t get the right ideas about user emotions and intent behind the search. So they are less likely to blend compassion into their text.
A human editor, proofreader, or fact-checker can add personalization and an emotional touch to the content tone. So it is important to humanize AI content with human emotions.
Add Creativity To Your Content
Raw AI content is not a good fit for users as well as search engines. Without creativity, AI content is just ML or NLP responses that are useless.
Add some fuel to your content through conversational language and encourage readers to involve themselves. Like, ask them to keep some statistics, infographics, or takeaways from the text.
Contextual Understanding Of The Text
The quality and relevancy of AI responses also matter. So humanizing AI text can fix the misinterpretation of the subject, situation, or environment.
An AI content detector can easily detect AI-generated text or content due to the repetition of responses and patterns. Search Engines have powerful systems and algorithms to catch the same.
Process Of Humanizing AI Content
There are a lot of considerations that need to be done in the process of humanizing AI content. Here few of them.
Content Tone And Style
There should be an alignment of content tone and voice with the brand’s user expectations and voice. It should adapt as per the requirements like casual, professional, or formal tones.
Clarity of communication is more important to spread the message to the brand’s target audience in the simplest way.
Human Syntax And Flow
AI text should have human-like syntax and flow like a realistic human dialogue. That includes idioms, common phrases, and appropriate pauses.
Unlock all the NLP capabilities of linguistic diversity like sentence structure, punctuations, and tenses. to give the conversation a natural flow. It should look like they are interacting with something crafted by humans, not robots.
Implementation of NLP Techniques
These techniques allow you to integrate human attributes into the AI text. From interpretation to contextual understanding these techniques help in generating meaningful content.
Here are some of these common techniques used to give AI text a human touch.
Named Entity Recognition
This technical entity helps AI text generators identify the text elements into different categories like organizations, persons, places, and quantities. Understanding NER AI models can better establish a context of the conversation.
Tokenization
This technique helps the AI generator break down the text into smaller parts like words and phrases. That helps NLP models to understand the basic units of a language.
Sentiment Analysis
This AI feature makes it easier to identify and extract user sentiments. Like their mood, attitude, and emotional status. Which helps AI models in crafting a humanized text following these things. These NLP models heavily depend on the input and how you train them for your tasks.
Frequently Asked Questions
Conclusion
Humanizing the AI text is equally important from the user’s and search engine’s point of view. If you overlook any one of them it can be tricky.
However, evolution has improved the AI models with the latest algorithms, patterns, and other ML capabilities. However, it is still scary to completely rely upon these text generators.
