9 Secrets To Make AI Content Sound 100% Human (+Prompts)

Artificial intelligence and machine learning are revolutionizing many industries, and copywriting is no exception. AI systems are now capable of generating all kinds of content with minimal human input. However, one challenge remains - how can we make AI-generated text pass as human-written?

While AI is improving at natural language generation, its writing still lacks the nuance and subtlety of a human. Readers can often detect when text was written by a robot rather than a person. This poses problems for marketing, where authenticity is key. If customers realize content was computer-generated, it may come across as inauthentic or "spammy."

Luckily, there are techniques marketers can use to disguise AI-written pieces and make them seem convincingly human. With the right optimization strategies, AI copy can engage and persuade readers without giving away its robotic origins.

In this article, I'll share these proven methods for humanizing AI-generated marketing content.

How to humanize AI content

• 1. Add Personality

• 2. Introduce Imperfection

• 3. Vary Tone and Style

• 4. Add Human Touchpoints

• 5. Optimize for Conversational Flow

• 6. Incorporate Reader Feedback Loops

• 7. Leverage Emotion and Empathy

• 8. Incorporate Diverse Voices and Perspectives

• 9. Continuously Evaluate and Refine

• Prompts to humanize text

• In Conclusion

1. Add Personality

One of the biggest tells that text was written by a robot is a lack of personality. AI tends to write in a very generic, one-size-fits-all style. To make AI copy more human, marketers should inject personality into the writing.

Describe the target audience and speak to their interests, pain points, and goals. Use contractions, slang, and informal language to sound conversational. Add humor, opinions, and enthusiasm where appropriate. Vary sentence structure and word choice to avoid robotic repetition. With a bit of personality programming, AI can start to sound like a real person.

2. Introduce Imperfection

Humans aren't perfect writers. We all make typos, grammatical errors, and inconsistencies from time to time. Paradoxically, introducing small imperfections into AI-generated text can make it seem more authentic.

Marketers should tweak a small percentage of AI content by adding or removing words, rearranging sentences, and making minor grammatical "mistakes." They can also introduce the occasional spelling error, which humans are more likely to overlook than bots. A polished, pristine writing style can be a red flag that the text wasn't written by a person. Imperfection implies humanity.

3. Vary Tone and Style

Another sign of human writing is variation in tone and style from piece to piece. While AI systems are getting better at modulating tone, their writing still tends to have a consistent "voice." To disguise this, marketers should generate content using different AI models, trained on different datasets.

They can also tweak some pieces by changing word choices, sentence structures, and formality levels. For example, alternating between casual and formal, descriptive and concise. Varying content types like articles, social posts, emails and more also helps. The end result should be a diverse portfolio of pieces that don't feel like they came from the same "person."

4. Add Human Touchpoints

Nothing says "human" like real-world references, experiences, and opinions. To anchor AI content in humanity, marketers should sprinkle in personal anecdotes, quotes from experts, and references to current events.

They can also ask human writers to review samples and add their own touches - a funny story, candid opinion, or colorful metaphor. Even just having a person proofread introduces a human perspective. Hyperlinks to additional human-generated resources like blog posts or videos also reinforce authenticity. The goal is to give readers subtle cues that real people had a hand in creation.

5. Optimize for Conversational Flow

While AI is getting better at natural conversation, its responses still lack the fluidity of human dialog. To disguise this, marketers should optimize AI-generated content for conversational flow and coherence.

They can program models to introduce and build on topics over multiple pieces in a logical progression. Responses should also reference and build on each other contextually. Adding transitional phrases, acknowledging previous statements, and varying question/answer formats makes the "discussion" feel more natural. With the right conversational priming, AI can pass for a human discussion partner.

6. Incorporate Reader Feedback Loops

Nothing says "interactive" like responding directly to a person's comments or questions. Marketers can use AI to power feedback loops that mimic back-and-forth discussion.

For example, programming models to acknowledge and build on specific feedback, ask follow-up questions, or clarify previous statements. Marketers can also "pretend" feedback came before content to give the illusion of an ongoing dialogue. With the right feedback programming, AI can carry on highly contextualized conversations that feel personalized.

I hope you're finding this information helpful so far. To access the full details, please consider subscribing to my newsletter. As a subscriber, you'll not only unlock the complete text, but also receive regular updates on related topics. I strive to provide valuable insights to my readers, while also supporting my work.