Kateryna Liaskovska

How to Write AI Copy That Feels Human

8 min readKateryna LiaskovskaKateryna Liaskovska

Learn how to create AI-generated content that sounds natural, trustworthy, and emotionally engaging - without losing accuracy or compliance.

AI writing tools serve as fundamental tools for contemporary content production operations. The tools generate outlines and first drafts which enable marketers to produce content at higher speeds while decreasing their expenses.

The fast production of AI-generated content results in automated writing that produces robotic text with repetitive patterns and lacks emotional depth.

Readers develop the ability to detect when content appears unnatural. The exact reason remains unclear to readers but they develop distrust toward such content.

Marketing success depends on trust because it separates successful conversions from unsuccessful bounces.

The main issue with AI implementation lies in maintaining human elements during its usage.

AI tools are easier to trust when AI copywriting explains how the technology really helps people.

Why AI copy feels artificial

The lack of experience stands as the main issue with AI instead of its grammar or vocabulary deficits. The system lacks personal experiences about product purchases and risk-taking and brand trust development.

The generated content lacks three essential elements which result in its unconvincing nature.

Emotional connection – It explains but doesn't have the ability to empathize with readers.

Authenticity – The content appears refined yet lacks personal touches.

Context – The system lacks ability to detect the emotional and cultural signals which your target audience uses.

The final result of AI-generated content production leads to empty-sounding well-structured text. The solution requires creating AI-generated content that resembles human-written text which demonstrates understanding of reader interests.

Edit for personality

AI-generated drafts contain repetitive patterns which create a formulaic tone. The writing structure maintains a uniform pattern while the transition sections appear automated.

The AI output requires transformation through tone and rhythm and purposeful direction to achieve its final form.

Practical tips:

  • The use of contractions between "it's" and "it is" creates natural speech patterns.
  • The natural speech pattern emerges when you mix short and long sentences.
  • The addition of brief emotional expressions through "honestly" and "you've probably noticed" and "the truth is" creates human-like tone in your writing.
  • The replacement of robotic connectors "furthermore" and "moreover" with "and yet" and "that said" and "still" creates smoother transitions in your writing.

Pro tip: Read your draft aloud. The text needs revision when you would not use it in face-to-face communication.

Add specific examples

AI-generated content contains generic statements which are its most distinctive characteristic. The statement "AI enhances productivity" becomes more effective when you add specific details to it.

The first statement presents a general claim but the second statement provides specific details about how AI helps marketing teams. The second statement demonstrates impact through specific details which humans naturally use when sharing actual experiences.

Your copy becomes more believable when you include specific numbers and brand examples and user-based scenarios. When you are unsure about something ask yourself if a person with actual experience would express this statement.

Connect features to feelings

Facts inform. Feelings persuade.

AI tools provide descriptions about system operations yet people focus on the meaning behind these operations.

"Our AI editor fixes grammar errors instantly."

That's functional.

The AI editor provides instant grammar correction which results in polished writing that makes your content sound confident.

The first statement describes a functional aspect but the second statement connects grammar correction to an emotional response of confidence.

The emotional connection between features and feelings creates trust which leads to better customer retention.

Calibrate voice

AI tools can duplicate speech patterns yet they lack the ability to detect emotional states which humans experience. The tone of your audience responds to depends on their professional background because corporate audiences need clear and authoritative content but consumer-focused audiences require empathetic and warm communication.

To achieve this goal you should:

  • Include specific voice directions in your request by specifying "friendly but professional" and "insightful and concise."
  • The system requires additional information about its target audience through specific details about their demographics and psychological characteristics.
  • The review process for tone drift should be performed after AI generation to detect areas where the content sounds too formal or flat or salesy.

The best AI-generated content resembles human-written content because it maintains your personal voice at scale.

Test with real people

Human feedback stands as the only substitute for algorithmic evaluation.

Share your finished work with colleagues and clients before publication to obtain their feedback. The evaluation process includes two essential questions which help determine the quality of your work.

"Does this sound natural?"

"Would you trust this brand based on this text?"

"What emotion do you feel reading it?"

The absence of reader response indicates that you need to make adjustments to your content.

AI tools operate at high speed but human reviewers deliver authentic results.

AI content types and editing approaches

Different AI-generated content formats require tailored editing strategies to sound human.

Blog posts and articles

Blog posts need conversational flow and natural transitions. Edit AI drafts to add:

  • Personal anecdotes or observations
  • Varied sentence lengths and structures
  • Natural transitions between ideas
  • Questions that engage readers
  • Specific examples and case studies

Example: Replace "Many businesses struggle with content creation" with "Last month, three SaaS founders told me the same thing: 'We know we need content, but we don't know where to start.'"

Email sequences

Email copy must feel personal and conversational. Edit AI drafts to:

  • Use contractions naturally
  • Add personal touches ("I noticed..." or "You might be wondering...")
  • Vary opening lines (not always "I hope this email finds you well")
  • Include specific details relevant to the recipient
  • Match your brand voice consistently

Example: Replace "I wanted to reach out" with "I saw your recent post about [topic] and thought you'd find this useful."

Landing pages

Landing page copy must convert while feeling authentic. Edit AI drafts to:

  • Lead with benefits, not features
  • Use active voice ("You'll save time" not "Time will be saved")
  • Include specific numbers and results
  • Address objections naturally
  • Create urgency without sounding pushy

Example: Replace "Our platform offers many features" with "Join 10,000+ teams who save 5 hours per week on content creation."

Social media content

Social media copy needs personality and brevity. Edit AI drafts to:

  • Use emojis strategically (not excessively)
  • Write in first or second person
  • Include questions to encourage engagement
  • Keep it concise and scannable
  • Match platform tone (LinkedIn vs Twitter vs Instagram)

Example: Replace "We are excited to announce" with "Excited to share: [specific update]. What do you think?"

Voice of customer research for AI content

Understanding how your audience talks helps you edit AI content to sound natural.

Where to gather insights

  • Review customer support conversations for language patterns
  • Analyze social media comments and discussions
  • Survey customers about how they describe problems
  • Monitor industry forums and communities
  • Review competitor content for effective language
  • Conduct interviews with target audience members

Translating insights into edits

When customers say "I'm frustrated with..." or "I wish there was a way to...," incorporate that language into your AI-edited content. If they use casual language, match that tone.

Example: If research shows customers say "I'm tired of..." instead of "I experience challenges with...," use the former in your copy.

Common AI copy editing mistakes

Over-editing

Don't remove every AI-generated phrase. Some AI output is perfectly fine - edit only what sounds robotic.

Signs of over-editing:

  • Removing all transitions (makes content choppy)
  • Changing every sentence structure (loses flow)
  • Adding too many personal anecdotes (feels forced)

Under-editing

Don't publish AI content without human review. Even good AI drafts need editing for:

  • Brand voice consistency
  • Audience-specific language
  • Emotional connection
  • Specific examples
  • Natural flow

Ignoring tone drift

AI content can shift tone mid-piece. Review entire pieces, not just sections, to ensure consistent voice throughout.

Missing context

AI doesn't understand your brand's unique context. Always add:

  • Brand-specific examples
  • Industry-specific language
  • Audience-specific references
  • Cultural considerations
  • Current events or trends (where appropriate)

AI content workflow best practices

Step 1: Prompt with context

Provide AI tools with:

  • Target audience description
  • Brand voice guidelines
  • Content goals and objectives
  • Specific examples of desired tone
  • Key messages to include

Step 2: Generate draft

Let AI create initial draft, then review for:

  • Structure and flow
  • Key points covered
  • Tone appropriateness
  • Factual accuracy

Step 3: Human editing

Edit for:

  • Personality and voice
  • Specific examples and details
  • Emotional connection
  • Natural transitions
  • Brand consistency

Step 4: Review and refine

Before publishing:

  • Read aloud for natural flow
  • Check tone consistency
  • Verify factual accuracy
  • Test with target audience (if possible)
  • Ensure compliance with brand guidelines

Measuring AI content effectiveness

Track metrics to understand if your AI-edited content performs well:

  • Engagement rates: Comments, shares, time on page
  • Conversion rates: Signups, purchases, downloads
  • Trust indicators: Return visits, repeat engagement
  • Brand perception: Customer feedback, reviews
  • SEO performance: Rankings, organic traffic

If metrics drop after switching to AI-edited content, review your editing process and ensure you're maintaining human elements.

#AI#copywriting#ethics#tone#content

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Kateryna Liaskovska

Written by Kateryna Liaskovska

Copywriter for regulated and creative niches to help brands communicate with their audience to convert them in clients.