Tips for Maintaining Authenticity in AI Writing

Don't outsource your writing to AI. Use it to sharpen it. If AI writes for you, it must sound like you. Not like a robot. The four parts explained: 1. Voice — what you stand for. Your principles, your point of view, the promise your writing makes. Voice answers: what do I believe, and what do I refuse to say? It sets the stance before you type a word. 2. Tone — the emotional color. Calm or fiery. Tight or loose. Professional or irreverent. Choose a spot on that grid and hold it. Consistency builds trust. 3. Style — how your words behave. Sentence length. Rhythm. Question clusters. One list per piece. Concrete examples, not vague claims. Style is the fingerprint readers recognize. 4. Structure — how the ideas flow. Start with a sharp hook. Move from problem to principle to playbook. Use clean pivots. Close with a clear action. How to make AI write like you: - Feel it first. Read three strong posts you wrote. Note rhythm, sentence length, questions, and banned words. That is your fingerprint. - Polish with a sample and a tight prompt. Feed one sample and your rules. Ask for a short post in that style. Check tone so you do not drift into beige. - Iterate fast. Generate. Edit to sound like you. Tell the model what you changed. Update the rules. Repeat. Each loop gets closer. Want my exact prompts? Comment "AI Voice" and I will send you a short workbook with the prompts (I do it manually, so give me a few minutes :) Your move.

Do you want to post more on LinkedIn but feel short on writing time—and worry that using GenAI feels inauthentic? If you've struggled with feeling that using AI is cheating, you should know you *can* create authentic, value-filled posts with ChatGPT's assistance -- in less time. In my latest newsletter, I explore these five key takeaways: ✅ Use AI for ideation—not execution. Consider AI as a savvy intern rather than a highly skilled copywriter. Yes, use ChatGPT to generate ideas or structure your thoughts. But the final draft? That should come from YOU – not AI. ✨ A Harvard Business School study found that AI acts as a “cybernetic teammate,” allowing us to produce quality work faster. ChatGPT and Claude make great brainstorming buddies. ✅ Infuse your content with unique insights. Generic listicle AI posts often fail to establish thought leadership. When you can incorporate your personal experiences, case studies, or professional opinions, you provide insight into your expertise and personality.  ✨ Sharing specific anecdotes or perspectives differentiates your content and fosters deeper connections with your audience. Think about the last thought leader you “clicked” with and how much of their writing you read. Yup. You can have fans like that, too. ✅ Craft a hook that mirrors your voice. Using a generic hook that some tech-bro uses won’t help YOU if it doesn’t feel authentic – even if their post has over 1,000 likes. The best hooks draw your readers in, introduce your topic – and sound like you. If you’re stuck., ChatGPT or Claude can give you different hook variations in seconds.  ✨ Don’t ignore your hook or outsource it to a robot. The best hooks draw you in with a statistic, personal story, or lesson learned. ✅ Address the needs of a specific audience member. You’re not writing for all one billion of LinkedIn’s members. Instead, think of writing to an audience of one – like you’re writing an email, but longer. :) ChatGPT or Claude can help you create a reader persona document if you don't have one.  ✨ Focusing on individual concerns demonstrates empathy and positions you as a problem-solver within your network. ✅ Make your content sound like you—even with AI assistance. Yes, ChatGPT can replicate your writing style. But it can’t replicate your snark, fantastic insight, or fun phrasing. I use AI for a rough draft pass and then rewrite the main points in my voice. That way, my content always sounds like me, and I give my readers exactly what they expect. ✨ Don’t take chances with your content’s tone and feel. Let ChatGPT help write the content, but make sure you edit it and make it sound like you. 💬 How have you integrated AI into your content creation process while maintaining authenticity? Share your experiences in the comments below. #SEOCopywriting #GenAI #ContentMarketing

A truly tragic part of this mad AI scramble… Some people would have developed into exceptional writers. 1-of-1 voice. Razor-sharp, original thoughts. And instead, they’ve outsourced everything to AI and now they sound just like everyone else. It’s creative abandonment at scale. What a loss. Do I use AI every day? Yes. Am I going to let it siphon away my skills, my voice, my edge? Not a chance. The alternative... If you want to become an exceptional thinker and writer, and not just copy/paste the work of exceptional thinkers and writers, here’s what I recommend: ✓ Use AI to amplify, not originate. Start with your idea. Bring in AI to sharpen, speed up, or structure. But never lose that core insight. ✓ Keep one hand in the craft. Write something from scratch every week. Even (and especially) if no one sees it. ✓ Don’t say something smart, say something real. AI knows every trick in the book. But it doesn't know your story, your worldview. ✓ Train your thinking, not just your LLM. Your brain is still the best writing engine. Don’t let it idle. Read, discuss, ideate. ✓ Protect your voice like it's your brand.  Because it is. And once it’s gone, you'll fall into the dreaded sea of sameness. With me?

At this point, we can all spot AI copy a mile away. It starts with grand declarations (“In today’s digital landscape”) and ends with clunky signposts like “In conclusion.” Readers tune out the second they see those tells. If you want your writing to sound like it came from a human mind (like yours), you need to know the AI junk to avoid and what to use instead. 1. Skip the “big sweeping” intros. AI loves to start with grand statements like “In today’s digital landscape” or “Since the dawn of the internet.” But people don’t talk like that. Instead, drop readers right into the problem or question they care about. (That's good practice in general! Get to the good stuff immediately.) 2. Avoid fake urgency and clichés. Phrases like “Technology is advancing at a rapid pace” or “In this age of digital transformation” are meaningless filler. If the pace of evolution really matters, demonstrate it with data or a concrete example. 3. Skip the warm-up. Phrases like “This article will explore…” or “Here are some tips” just delay the real value. Junior writers (and AI) often fall into this "narration trap." Cut the intro. Start with the point. A clear first sentence is stronger (and more respectful of your reader’s time). 4. Stop saying “Let’s dive in." People rarely say that outside of AI copy. If you need a transition, be specific: “Now let's set this up in AWS.” 5. Watch out for formulaic comparisons. Phrases like “AI is not just a tool, it’s a revolution” or “X is not just Y, it’s Z” scream template. Reframe in plain language: “AI helps with grunt work, but you can also use it to help shape your strategy.” 6. Don’t list your entire audience. AI defaults to “Whether you’re a junior developer or a CTO…” Skip the roll call. Write to one clear audience, their challenges and experiences, and trust they’ll recognize themselves. 7. Quit being Captain Obvious. “It’s no secret that cybersecurity is important.” No kidding! No one thinks that's a secret. Instead, get specific: “Most breaches still start with stolen passwords.” 8. Anchor big ideas in real-world detail. Instead of saying “Cloud computing has fascinated businesses for decades,” show the shift: “Netflix used to mail DVDs. Now it runs on AWS.” The choice is simple: write bilge, or write helpful content that gets read. "Let's dive in!" 😁

We can all tell when you hit copy-paste on your AI output. It’s giving “meh.” If you’re using AI to write content and it sounds robotic, flat, or just… not like you, you’re doing it wrong. I lead with AI in my work every day. Not just ChatGPT, but trained agents, embedded workflows, automation, real-time co-pilots. I know what good looks like. Not because I’m lazy, because I know how to get the best out of it. Here’s the truth: AI isn’t your ghostwriter. It’s your collaborator. And the work is still yours. Want better AI content? Try this: 1. Train your tools Drop in a few posts you’ve already written. Explain your tone. What to avoid. What good looks like. 2. Voice it out Dictate into your phone or use Superwhisper. Talk like you would to a friend. Let the AI help you shape it later. 3. Structure your thoughts Use bullets or a quick outline. A solid structure gives the model something to build on instead of guessing. 4. Edit like a human Always. The model is smart — but not you smart. Tweak it so it sounds like you, not the machine. 5. Stop chasing “perfect” People don’t want perfection. They want you. Use AI to get faster, not faker. If you’re a ghostwriter or a marketer using AI for clients, same rules apply. Do. Not. Paste. Without. Thought. AI is powerful. But the real power is in how you use it. Let’s do better.

Most brands sound robotic with AI. The smartest companies use AI to sound more human. After analyzing hundreds of brand transformations, I've discovered that successful companies use AI strategically to amplify their authentic voice. Here are 11 ways to use AI to make your brand sound more human: 1. Voice Mining ↳ Analyze your best-performing content ↳ Extract patterns in tone and language 💡 Pro Tip: Focus on posts with highest engagement-to-view ratios, not just total numbers. 2. Competitor Analysis ↳ Study successful voices in your space ↳ Identify gaps in brand positioning 💡 Pro Tip: Look for what competitors aren't saying. That's your opportunity. 3. Audience Feedback Loop ↳ Use AI to analyze customer comments ↳ Adjust voice based on engagement 💡 Pro Tip: Pay special attention to comments that disagree as they reveal blind spots. 4. Consistency Framework ↳ Build voice guidelines with AI ↳ Create tone variations for channels 💡 Pro Tip: Create a simple "voice spectrum" from casual to formal for different situations. 5. Value Proposition Enhancement ↳ Extract key differentiators ↳ Align voice with core benefits 💡 Pro Tip: Your voice should reflect your most valuable differentiator, not just sound good. 6. Storytelling Elements ↳ Generate narrative frameworks ↳ Test different story angles 💡 Pro Tip: What problem do you uniquely solve? 7. Cultural Alignment ↳ Map brand values to voice ↳ Ensure authenticity in messaging 💡 Pro Tip: If your culture is casual, your AI outputs shouldn't be formal 8. Content Calibration ↳ A/B test different voices ↳ Measure engagement metrics 💡 Pro Tip: Test one element at a time. Changing everything at once teaches you nothing. 9. Persona Development ↳ Create detailed brand personas ↳ Map voice to target audience 💡 Pro Tip: Interview your best customers. Their language should influence your AI prompts. 10. Emotional Intelligence ↳ Analyze emotional impact ↳ Fine-tune brand empathy 💡 Pro Tip: Every post should trigger at least one strong emotion. 11. Voice Evolution System ↳ Monitor voice performance ↳ Adapt to market changes 💡 Pro Tip: Schedule monthly voice audits. Brands that don't evolve disappear. The brands winning with AI aren't chasing perfection. They're doubling down on authenticity. By using these tools strategically, you can scale content without sacrificing the human touch that builds trust and loyalty. Which of these techniques will you implement first? Share below 👇 ♻️ Repost this if someone in your network would like this. Follow Carolyn Healey for more content about AI.

Being real isn’t the flex. Being remembered is. Everyone says “just be authentic.” But no one explains what that means. Or worse—they weaponize it. Polished = fake. AI = inauthentic. Vulnerable = weak. Let’s clear the air and bust the real myths 👇 𝑴𝒚𝒕𝒉 1: Authenticity means full transparency Wrong. No one trusts a flood. Trust starts with curation. 𝑴𝒚𝒕𝒉 2: Being real means being unfiltered Nope. Editing shows respect. For your audience and your message. 𝑴𝒚𝒕𝒉 3: Your story is your brand Not quite. A story gets attention. Relevance builds trust. 𝑴𝒚𝒕𝒉 4: AI makes content inauthentic Only if you copy-paste. Tools don’t kill voice, blending does. 𝑴𝒚𝒕𝒉 5: Personal brand = performance Wrong again. It’s your leadership, visible and intentional. You want to stay authentic—without shrinking your presence? This is how you do it right 👇 📌 Where AI helps Structure, grammar, tone-checks Use it to shape, not to speak 📌 Where AI fails Story, stance, lived experience That’s you. Every time. 📌 What to keep Your rhythm Your word choices Your actual point of view 📌 What to cut Generic “voice of brand” polish Excessive disclaimers Second-guessing in every sentence 📌 What builds trust Real tone Clarity over performance One strong opinion—stated simply 📌 What breaks it Trying to be liked Pretending you're not trying Authenticity isn’t soft. It’s how you lead in a room you don’t control. So—what part of your content still sounds like strategy?

【500 likes, 30 minutes AI collaboration—But I couldn't remember what I wrote】 AI made my writing 10x faster. But now I'm questioning if I'm still a real creator. For months, I've been heavily using AI for collaborative writing. It helps me clarify my thoughts, optimize my structure, and strengthen my hooks. One piece about workplace English skills hit 500 likes in just 30 minutes of collaborative work. But here's the problem: I couldn't remember how I actually wrote it in some pieces. As creating became faster and easier, I started to lose that sense of ownership. Is this still my work? 🧪 I've tried two AI collaboration approaches: Post-editing: Write first, then let AI optimize. The result? AI often strips away my voice, especially tone and personality. I end up spending double the time fixing it back. Co-creation: Voice input my thoughts, let AI organize into publishable content. This eliminates my fear of blank pages and helps me tackle topics I'd never attempt. ⚖️ But speed replaced depth. AI lowered my writing barriers while weakening my memory of the content. When I'm not typing every word, just speaking + collaborating + editing— I barely remember the details or emotions. This question haunts me: "If I can't remember what I wrote, is it still mine?" I don't have a perfect answer, but I'm setting boundaries: ✅ Personal/emotional content: Must write myself. AI can't replicate my authentic voice and rhythm. ✅ Complex new topics: AI co-creation works. But core insights must come from me. ✅ Familiar topics: Let AI optimize for platform best practices and amplify reach. ⚖️ AI can help with output, but "original thinking" is the creative muscle we must train ourselves. AI is our thinking mirror—it doesn't create viewpoints, It amplifies what we give it. It enables us to write smoothly and package our ideas better, But without our stance, feelings, and perspectives, it only produces empty content. 📚 So, what should we as creators do? My principle: Don't outsource the most painful, chaotic, uncertain part of creating to AI. That's where our core ability lives—how we think, choose, and judge. That's not something to outsource. It's how we become the creators we want to be. 💬 Plot twist: Guess if this post was written with AI collaboration. Share your thoughts—I'm genuinely curious👇 #AIcolloboration #AIwriting

How to NOT sound like AI. (4 crazy tips) You can spot an AI-written post from a mile away now. Everyone on LinkedIn is starting to sound… the same. And yeah, people are tired. The robotic tone. The recycled “5 tips” format. The predictable “You won’t believe this…” opener. You already know the next line before you read it. No real value. No personality. No humanity. And people feel it. That’s why posts that sound like real conversations are cutting through right now. They don’t feel like content. They feel like you’re overhearing something you weren’t supposed to. 📌 Here’s how to write one that actually works: 1. Start with a real conversation Pick someone specific and relevant, a founder, client, mentor, customer. Anchor the post around one honest insight from that interaction. 2. Open with conflict, not context Jump straight into tension. “Why” questions work especially well. Example: $50M CEO: “Why should I pay for your sales software when I already spend $500k on tools?” Me: “Because you’re probably wasting half of that.” 3. Keep it tight and natural Use the exact questions people ask you. Short lines. Simple words. Write how you actually talk. 4. End with an outcome + lesson What decision was made? What changed? What should the reader take away? That’s it. No fake storytelling. Just real moments, written honestly. If your content feels “correct” but invisible, try this format. And if you’re done sounding like everyone else, start writing like yourself. Want more breakdowns like this? Follow for practical content that actually gets read. ___________________________________________ 👋 I’m Amit Rawal, an AI practitioner and educator. Outside of work, I’m building SuperchargeLife.ai , a global movement to make AI education accessible and human-centered. ♻️ Repost if you believe AI isn’t about replacing us… It’s about retraining us to think better. Opinions expressed are my own in a personal capacity and do not represent the views, policies, or positions of my employer (currently Google LLC) or its subsidiaries or affiliates.

For some course revisions I'm working on, I'm experimenting with some AI content generation, including a video avatar of myself (preview coming soon!). But as I'm working, I'm aware I feel an intense tension here: on the one hand I can see enormous potential in how this could make it easier to create and update course content way more quickly. Typically content maintenance and revision is the big unsolved challenge with MOOC-style online education (asynchronous and built around high-quality pre-recorded videos). On the other hand, though, there's a risk of this becoming deeply impersonal: the traditional approach to course content development has an authenticity and intimacy to it that this would lose. With traditional video, there's a clear assurance that I felt comfortable enough with the content to go into the studio and film it with my face and voice; with AI avatars, that assurance is diminished. I decided to film a video to include at the start of any course or lesson that uses my AI avatar that provides my justification. As part of that, I realized I have three rules I'm following for principled AI content creation. I wrote about them in my blog: https://lnkd.in/e9j2KJwD In a nutshell, though, the rules are: • Authenticity: Only text written by me gets loaded into my avatar. I decided not to go with a group account with the avatar generation tool we're using because I don't want anyone else to even have access to my avatar to generate content for it, so there can be no doubt that anything my avatar says is just as authentically from me as anything I presented on camera (where I, granted, use a teleprompter anyway—but I write the text for that, too!). • Transparency: Even if AI gets good enough to pass as real video, where AI is used is always transparent. In creating my own AI avatar, I made a couple choices for the training video that I NEVER make during a real video, so that there are immediate indicators if a video uses my AI avatar. • Enrichment: My AI avatar is only used to present in video content that I otherwise WOULD have presented in plain text or an otherwise less rich medium. If I felt the content was ready to be filmed in the studio, it gets filmed in the studio; my AI avatar is only used to enrich otherwise plainer content. My hope is that with these rules in place for myself, these technologies really do enrich the content without undermining the social authenticity.