How to Make AI-Generated Content Sound More Human

How to Make AI-generated Content Resonate with Humans.

The evolution of storytelling continues with AI-generated content

Stories have always been part of how humankind has passed on information, and they’ve played an important role in social, political, and religious discourse. As societies evolved, so did the art of telling stories. Today, we’re entering the era where Artificial Intelligence (AI) is part of our storytelling landscape, with both brands and consumers integrating AI-generated content into their lives and workflows. 

When people write, we draw from our personal experiences and emotional landscape to enrich our storytelling. Human speech is typically filled with quirks like slang, idioms, and cultural nuances, and what we say often depends heavily on the context. AI can’t do that (yet). Which begs the question, what makes AI-generated content resonate with people? What makes us sound human? Should AI-content even aim to sound human?

What does AI-generated content mean?
AI-generated content refers to text, images, videos, or other media created by Artificial Intelligence technologies, often using natural language processing (NLP) or machine learning models like generative AI. These systems analyze large datasets to produce human-like outputs, ranging from marketing copy and technical documentation, to creative storytelling and customer support interactions. The goal is to streamline content creation, enhance productivity, and maintain consistency across various channels while adapting to the tone, style, and purpose defined by the user or organization​​​.

Why is it important for AI-generated content to sound human?

AI-generated content must sound human to build trust, connect with your audience, and deliver effective communication. When AI-produced writing mimics human tone and nuance, it becomes relatable and resonates with readers. Whether they are customers seeking clarity or professionals engaging with complex information. 

This human-like quality makes sure content aligns with organizational writing goals, maintains consistency, and avoids the robotic tone that alienates audiences. Moreover, in regulated industries like financial services or healthcare, ensuring human clarity and empathy in AI-driven outputs helps meet compliance standards and addresses diverse audience needs​​​.

Can you recognize AI-generated content?

Research suggests that between 30% – 50% of consumers (depending on geographical location) can spot AI-generated copy. But is that a bad thing? Apparently, although half of Americans can tell it’s written by AI, we can’t easily identify any differences in the credibility and trustworthiness compared to human-generated content. And frequently, people even perceive AI-generated content as more engaging, even when they know AI wrote it. 

Research by Markowitz et al. (2024) used a text analysis tool to analyze the difference in hotel reviews written by humans and generative AI. The journal article suggests that AI-generated text sounds more analytical, is more affective, more descriptive, and less readable than a text a person wrote.

Why is that journal article relevant to your enterprise content supply chain? Because search engines primarily reward content that’s designed to give people reliable information. Useful content that’s created for people rather than for search ranking purposes. For content to do the job you intend it to do, it needs to be genuinely useful, sound human, contain accurate information, and be easy to understand.  

The issue with trustworthiness is that just because your readers can’t detect the difference between credible or not doesn’t make it automatically great content. LLMs continue to generate erroneous errors and perpetuate biases. Which is why it’s up to regulatory bodies and enterprises to put guardrails in place to make sure that effective content is also ethical. 

Does Google allow AI-generated content?

Yes, Google allows AI-generated content, but with strict guidelines to ensure quality and compliance. The key factor is that the content must be valuable, relevant, and meet the needs of users. Google focuses on the E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) principle, emphasizing the importance of content that provides accurate, trustworthy information regardless of whether it is AI- or human-generated.

Google strongly discourages low-quality, spammy, or misleading AI-produced material. Organizations using AI for content creation must integrate robust oversight and optimization processes to align outputs with Google’s standards and avoid penalties for violating its content policies​​.

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How to check AI-generated content before publishing

So how do you make sure your AI-content sounds human, is accurate, and genuinely helpful?

For all the worry about robots taking over the world, they can only do that as much as we hand over our agency to certain technology. So our first tip to making AI-generated content sound human, is to keep humans involved! Use AI as a co-writer, not your primary authoring tool. Collaborative writing has been a technique used by multiple content creators as a way to combine skills, knowledge, and creativity to synthesize original content. When one of these contributors is an AI, it changes the dynamics of creation and ideation fundamentally. We recommend a book called “Co-Intelligence: Living and Working with AI” by Ethan Mollick for a deeper read on approaching AI with a collaborative mindset. 

In the meantime, here are more tips to make AI-generated content sound human. 

1. Write conversational prompts

The best way to get human-sounding text from an LLM is to speak to it like it’s human. Yes, it’s kind of weird at first. But in this interview with Mollick and Forbes, he sums it up as “treat artificial intelligence like a person, but tell it what kind of a person it is.” meaning you have to get good at prompting in a detailed but conversational way where you’re telling it what to do like it was a person, and correcting it as if it were a person. 

2. Make editing inevitable

In the Markowitz et al., (2024) study, researchers claimed that AI-written text has more positivity bias, more emotive language, and is more linguistically complex, making it less readable. Edit AI-generated text to maintain authenticity and build consumer trust, by making sure your claims are accurate, well-cited, and clear and easy to understand

3. Base everything on your best content

Ground and tune your LLM off your best content, and in alignment with your enterprise style guide. Need help deciding what content to use to ground your LLM? Use our checklist to guide you to prepare your source content for the highest quality LLM-output. 

4. Keep content on-brand with content governance

AI-generated content comes with the risk of publishing content that creates an inconsistent customer experience because it’s not accurate, or doesn’t apply your company’s tone, voice, style, and terminology consistently. That’s why if you want to make AI-generated content production scalable, content governance guardrails are non-negotiable. 

5. Use quality gates

As part of your content governance guardrails, set up automated quality gates at different stages of your content supply chain that automatically block off-brand content from ever-being published, and send it back to writers for review.

How does content governance improve AI-generated content?

Content governance plays a crucial role in improving the quality, consistency, and compliance of AI-generated content. It provides a structured framework that makes sure all content aligns with your company’s standards, including tone, style, terminology, and regulatory requirements. With content governance tools like Acrolinx, organizations integrate AI-generated content into existing workflows while maintaining oversight and quality control.

These tools evaluate AI-generated material against predefined writing standards, offering actionable suggestions to meet your writing guidelines. Governance also establishes quality gates to prevent subpar or non-compliant content from being published. By embedding these processes, businesses can scale content creation with confidence, knowing their AI-generated content meets both audience expectations and regulatory demands. This approach not only improves the user experience but also protects brand integrity and improves content effectiveness​​​.

How Acrolinx helps humanize AI-generated content

The trick to effective AI content is relatively simple: Do the basics well. Just as Google’s systems identify content and rank it in terms of helpfulness, your AI-generated content is similarly scrutinized. As with human-generated content, your LLM has to create content that demonstrates experience, expertise, authoritativeness, and trustworthiness, or what Google calls E-E-A-T. The challenge, of course, lies in understanding what the content needs to resonate with your audience, and how to guide your writers to make these changes.

Does it need to sound human to do those things? Not necessarily. Research already suggests that AI-generated content resonates with humans regardless if they know it’s generated by AI or not. What matters is that it’s representing your brand with a unified voice that’s distinct and recognizable to your audience, and that your writing is accurate, clear, readable, and consistent across channels. It doesn’t exploit consumer’s trust, and adheres to both industry-relevant regulations and emerging government legislation around using AI ethically. 

Acrolinx keeps your AI-generated content sounding like you. Acrolinx is an AI-powered content governance software that captures and digitizes your style guide to make your writing standards, standard. It governs new and existing content written by people and generative AI. Whether your company has written 100,000 words or billions (like our customer Microsoft), Acrolinx makes sure each one reflects your style guide. Customers enjoy massive efficiency gains without sacrificing standards through AI-powered live writing assistance, automated reviews and quality gates, and analytics comparing content quality with performance.

However you tell stories and whoever you want to sound like is your choice. Speak and write like the brand you want to be known for, by your own standards, with Acrolinx.

Are you ready to create more content faster?

Schedule a demo to see how content governance and AI guardrails will drastically improve content quality, compliance, and efficiency.

Kiana's portriat.

Kiana Minkie

She comes to her content career from a science background and a love of storytelling. Committed to the power of intentional communication to create social change, Kiana has published a plethora of B2B content on the importance of inclusive language in the workplace. Kiana, along with the Acrolinx Marketing Team, won a Silver Stevie Award at the 18th Annual International Business Awards® for Marketing Department of the Year. She also started the Acrolinx Diversity and Inclusion committee, and is a driving force behind employee-driven inclusion efforts.