Using AI Editors for LinkedIn Content Creation

Many leaders on LinkedIn sound the same. AI made it worse. If you're just blending in, you're probably losing trust. I know because I made this mistake. 8 months ago, I started using ChatGPT for LinkedIn posts. The output was fast. It was also lifeless. No engagement. I rebuilt my entire approach. I stopped treating AI like a content vending machine and started treating it like a junior writer who needed to learn my voice. Here are 8 ways to leverage AI for LinkedIn content while keeping your voice intact: 1/ Build a Voice Document Before You Write a Single Prompt Most people open ChatGPT and start typing. That's backwards. Before you ask AI to write anything, create a document that captures how you actually communicate: → 10-15 of your best-performing posts (copy the full text) → Your sentence rhythm (short and punchy? Long and flowing?) → How you start posts (questions? Bold statements? Stories?) → How you end posts (CTA style, sign-off patterns) This becomes your "brand bible." 2/ Create Custom AI Tools Trained on Your Voice Generic ChatGPT produces generic content. Custom GPTs, Claude Projects, and Gemini Gems let you bake your voice into the tool itself. Pre-load each one with your voice doc, 20 example posts, and strict instructions on tone (at a minimum). The setup takes 30 minutes. The payoff is permanent. 3/ Feed It Your Actual Writing Don't describe your voice. Demonstrate it. → Upload real emails you've sent → Paste transcripts from talks you've given → Include Slack messages that capture your casual tone AI learns from examples, not instructions. Give it the raw material. 4/ Use the 80/20 Rule: AI Drafts, You Finish AI writes the first 80%. You do the last 20%. Never publish AI output without a human pass. Not because AI is bad but because AI is generic until you make it specific. 5/ Create a "Do Not Use" List Every AI model has favorite words. They're usually the same words everyone else's AI is using. Build a banned list and enforce it. Add this list to your custom GPT instructions. Tell the AI: "Never use these words. If you're tempted to use them, find a more specific alternative." 6/ Read It Out Loud Before You Post Read your AI-assisted post out loud. If it doesn't sound like something you'd say in a conversation, rewrite it. Your voice probably has something AI doesn't: → Incomplete sentences → Casual transitions The out-loud test catches what your eyes miss. 7/ Anchor Every Post in a Specific Experience Generic AI content happens when you give generic prompts. "Write a post about leadership" produces garbage. "Write a post about the time I canceled three 1:1s in a row and lost my best employee" produces something real. The more specific your input, the more specific your output. People don't follow generic advice. They follow specific voices. Train your AI. Protect your voice. Stand out. Get a high-res pdf of the infographic: https://lnkd.in/gCEkWjjg Save this for future reference.

Stop asking AI to write your LinkedIn posts. People wonder why AI posts are easy to identify and hard to connect with. That's because whatever it does for you, it's doing for 20 million people. Before you ask AI to write a post for you, do this first 👇 1. Extract your voice → Send your last 10 posts to AI → Ask: "Extract my tone, sentence patterns, and recurring themes." → Now you have a voice profile for every draft 2. Turn your experiences into content ideas → Paste your stories into AI → Ask: "Generate 10 post ideas from these experiences." → You get endless content from what you've already lived 3. Generate hooks, not full posts → Ask for 10 scroll-stopping hooks on one topic → Keep them specific, curiosity-driven, and under 10 words → Your hook earns you the right to be read 4. Add your proof points → Tell AI: "I want to write about X." → Ask for 3 ways to back it up: a stat, a story, or a contrarian view → Proof turns content into credibility 5. Humanize the output → Remove robotic phrasing → Cut "you're not failing, you're learning" clichés → Delete rhetorical questions from brochures → Teach it how YOU talk 6. Create a reusable system → Tell AI: "Document this workflow as a custom prompt." → Reuse it for every post AI doesn't take away creativity. It magnifies it if you learn to lead. The real magic isn't in what AI writes for you. It's in how well it understands you. What’s one way you’ve made AI sound more like you lately?

Is Using AI to Write LinkedIn Posts Right or Wrong? Let’s discuss.... Yesterday, I interviewed candidates for a role in my company. Part of the process involved a case study exercise. Imagine my surprise when 90% of the responses were eerily similar—some even word-for-word. It didn’t take long to realize they’d lifted content directly from ChatGPT, with no added thought, context, or originality. It got me thinking: in a world where AI tools like ChatGPT are so easily accessible, how do we maintain authenticity and originality, especially on platforms like LinkedIn where personal branding is everything? Let me tell you about a client I worked with recently. She wanted help building her thought leadership on LinkedIn. She’d been experimenting with AI to draft her posts. While the articles were technically sound, they didn’t carry her voice. There was no story, no spark, nothing that showed the uniqueness of her expertise. They read like well-polished reports, but they didn’t connect. And without connection, visibility and influence are hard to build. So, is it “wrong” to use AI? Absolutely not! But the key is how you use it. Here are some tips for Executives who want to use AI to create Thought Leadership content on LinkedIn that stands out while staying authentic: Overcome the Fear of the Blank Page: Many times the biggest hurdle is starting- AI can help. Use tools like ChatGPT to brainstorm ideas, draft outlines, or suggest titles. Think of it as your creative collaborator, not your replacement. Fact-Check Everything: A while ago I crosschecked some stats given by chat GPT and found some inaccuracies, especially in the interpretation. AI doesn’t always get it right. Always double check quotes, stats or industry-specific terms to ensure accuracy. Your expertise should always guide the narrative. Not the other way round Add Your Story: This is the special sauce- when you include your personal stories, anecdotes, experiences, insights, and voice onto the draft. A story only you can tell is what sets your thought leadership content apart. Refine for Your Voice: It can be tempting to let Chap GPT’s polished tone, takeover, but the magic is you. How do you want to sound? How do you want to show up? Do you want to be witty with a dash of professionalism? Tailor drafts so your voice and style runs through. While AI is a useful tool, it doesn't replace your years of experience and professional value- use it to refine your thoughts or drive creativity, but let your insights lead the way. Remember thought leadership is about sharing your unique perspective and connecting with others authentically. No AI tool can replace that. What do you think? Are you using AI for LinkedIn posts? How do you navigate authenticity in the age of AI? Let me know in the comments—I’d love to hear your thoughts! #Thoughtleadership #Executivevisibility #womeninleadership #AI

15 Ways to Use AI Like a Pro on LinkedIn (and Everywhere Else) (No, it’s not just for writing captions): Most people are using AI to save 5 minutes. Smart ones? They use it to unlock hours of creative energy. Here's how to do more of what matters without burning out: 1. Idea Expansion Prompt: “Give me 10 post angles on [topic] that feel fresh and bold.” → Great for breaking out of an echo chamber. 2. Content First Drafts Prompt: “Write a 3-part carousel post on [topic] with a hook, punchy bullets, and a CTA.” → Instant content base you can shape in your tone. 3. Thought Partnering Prompt: “Challenge the assumptions in this LinkedIn post.” → Use it to stress-test ideas before publishing. 4. Market Research Summaries Prompt: “Summarize what’s trending in [industry] for Q3 2025 using recent data.” → 5-minute briefs that replace hours of Googling. 5. Refine Voice & Style Prompt: “Rewrite this to match a tone that’s smart, sharp, and a bit witty.” → Feed your own writing to it to learn your own patterns. 6. Content Calendar Drafting Prompt: “Draft 5 post ideas for the next week that cover [pillar 1], [pillar 2], and [pillar 3].” → Batch content planning made effortless. 7. Headline Optimization Prompt: “Give me 7 alternative hooks for this post that stop the scroll.” → Headlines matter more than the body. 8. Comment Generator (That Doesn’t Sound Robotic) Prompt: “Write a short, smart, human-sounding comment to add to this LinkedIn post [paste post here].” → For staying visible, without writing forever. 9. Messaging Clarity Prompt: “Make this shorter, clearer, and easier to read at a glance.” → A clarity assistant on demand. 10. Voice-to-Writing Translation Prompt: “I’ll paste my raw voice note transcript. Make it into a carousel outline.” → For content that sounds like you, just more structured. 11. Outline to Post Flow Prompt: “Turn these 3 bullets into a structured LinkedIn carousel with transitions.” → Cuts your writing time in half. 12. Weekend Boundaries Prompt: “Can you schedule a post draft to review Monday morning and store it here?” → (Only if using integrated tools like Zapier + scheduling apps). 13. Inbox Triage Prompt: “Summarize this email thread and write a draft response based on my tone and priorities.” → Saves mental load after long weekends. 14. Repurposing Prompt: “Turn this newsletter into 3 post ideas with different formats (carousel, poll, quote post).” → Squeeze more out of what you’ve already made. 15. Quick Wins for Creator Burnout Prompt: “What’s a light, high-performing post I can make today with little effort?” → For the days when motivation is at 2%. Save this. You won’t remember them all. And the faster you start experimenting, the faster AI becomes your creative co-pilot. Which one are you trying next? ♻️ Repost if you know a content creator who’s tired of doing it all the hard way. ➕ Follow Helene Guillaume Pabis for smarter, sustainable strategies for visibility, content, and impact.

Stanley Made My LinkedIn Posts Take 3X Longer (And That's Actually Good!) A week ago, I became the first customer of Stanley, the new AI creative companion for LinkedIn by Vitalii Dodonov and John Hu (thanks guys!!) I thought AI might save me time on LinkedIn posts. But now I spend MORE time on them than ever Here's why that's the best thing that happened to my content... Before AI: 20 minutes to write a mediocre post After AI: 60 minutes crafting something I'm actually proud of (And performs much better! My first post with Stanley got 15,000 views) The difference? AI didn't replace my thinking - it amplified it. Here's what nobody tells you about AI for content: ✅ You'll generate 10X more ideas (and spend time choosing the best) ✅ You'll explore angles you never considered (and rabbit hole on research)   ✅ You'll polish every sentence (because now you have no excuse not to) I used to write one draft and hit publish. Now? I'm iterating like a software developer: Version 1: AI helps brainstorm Version 2: We refine the hook together Version 3: I add my personal stories Version 4: AI suggests structural improvements Version 5: I polish until it sings The paradox: AI gives you superpowers, but with great power comes... way more time perfecting your craft. Overall, my engagement is up 3X and I’ve really enjoyed having more, better conversations in the comments. Turns out, when you use AI as a creative partner instead of a shortcut, you don't save time. You invest it. You stop settling for "good enough" and start chasing "what's the best I can really do here?" So Stanley taught me this: the future isn't about AI making content creation faster. It's about AI making creators better. And that takes time. Beautiful, productive, game-changing time. Who else is spending MORE time on content since AI came along? 👇 - Rob (w/ Stanley) P.S. ♻️ Sharing is caring :)

I just crossed 26K followers on LinkedIn, and I get content-creator (influencer) requests now. I’ve even brought in a large enterprise deal from my content. Here’s how I’m using AI in my LinkedIn workflow. 👇 First: the follower count isn’t the goal. I started posting 5-ish years ago to process my work out loud and build community. No strategy. No formats. I didn’t even think about “hooks” until this year. Now I care more about connection. I’ve had more DMs and Zooms this year than follower growth. I’m glad I didn’t overthink posting early on. Building the muscle > over-optimizing mechanics. Writing here is part of my work routine. It’s made me better because I’m reflecting and sorting through my thinking. AI is the hot topic. Some celebrate it. Others don’t trust it. I get it. I love AI…but I use it with a skeptical eye. The biggest thing: I never outsource my brain to AI. I use it like an editor: asking questions, challenging clarity, and sharpening the idea I already had. Here’s my workflow: 1. Voice-note the idea (anywhere) Walks. Driving. At my desk. Doing laundry. I open my ChatGPT project and idea dump. It captures the thought while it’s fresh and reflects it back. Prompts I use: → Sort through this idea → Ask me questions → Challenge me → Clear or rambling? → Is this original? → Is this tactical? It’s basically my old Notes app, but with a brain. 2. My curated ChatGPT project = content library One folder with: → Past posts → Writing I admire (structure only) → Tone guidelines → Formats I like It gives AI the right constraints. So it pushes my thinking without turning it into AI soup. 3. I never let AI do the full write → AI can: interview me, push back, spot gaps, rate clarity, help with structure. → AI cannot: write the post, engineer hooks, make tonal calls, add emojis or over-polish. My brain is the pen. AI is the sharpener. 4. I use AI to clear the clutter My brain moves faster than my mouth (if you’ve met me, you know 😅 I stutter and struggle to find words regularly). So I dump half-formed thoughts and tangents. Then I ask: → Is the point clear? → What’s fluff? → How would a reader experience this? → What makes it more tactical? It cuts ~50% of the noise. 5. The “going too far” test I know AI drifted when: → It takes the idea off course → Structure gets formulaic → Tone feels stiff → Emojis appear → It hallucinates When it stops sounding like me, I pull it back. 6. A recent example? This post. → Voice-noted the idea doing laundry → Had AI interview me → Voice-noted back → Asked it to challenge it → Scored clarity → Rewrote it myself → Used it to cut my character count That’s the workflow. AI shouldn’t replace your voice. It should sharpen it. If you use AI to write for you, it feels off. If you use AI to think with you, your writing gets clearer, faster, and more strategic. Final note: never start in AI. Your creativity comes first. AI comes in once the idea exists. Otherwise it flattens originality.

Stop using AI to write your LinkedIn posts. Use it to find your voice instead. I can spot an AI-generated executive post in seconds. So can your prospects. If you use generic prompts, you sound like everyone else.   Actually, you sound like AI.   Bland. Forgettable. This isn't just an aesthetic problem. It's creating a sales problem. Generic content creates zero differentiation. Zero trust. Zero qualified conversations. Here's how to use AI differently: 1. Use AI to extract your insights, not replace them.        Instead of "Write me a post about leadership," try "Interview me about my tech philosophy and highlight what makes it different from conventional approaches."     2. Feed it your actual words first.    Record yourself talking about a topic for 2 minutes. Get a transcript. Then ask AI to "Turn this into a 1000 character LinkedIn post while preserving my voice, style and unique perspectives."     3. Challenge it to find your contrarian angle.    For example, "What would most technology leaders say about this issue? Now review our prior conversations and help me articulate why I disagree."     4. Build a voice guide.    Document your specific phrases, analogies, and communication style. Reference it in your prompts.     5. Edit ruthlessly.    The first draft should never be the final one. Cut anything that doesn't sound like you would actually say it. (and cut out the AI-isms)     Even the busiest executives can create distinctive content this way in under 15 minutes. The leaders who get consistent leads from LinkedIn aren't the ones with the most polished content. They're the ones whose content is immediately recognizable as their own. AI should amplify your voice, not replace it. What's your biggest challenge in creating content that actually sounds like you?

How I actually use AI for content development (hint: it is not what you think). Most people treat AI as a shortcut. The best results come when you treat it as a collaborator. Here is how you can use it in your own workflow: 1/ Start with real-world proof Open SayWhat and scan what is performing on LinkedIn. Not to copy. To study tone, rhythm, and what sparks engagement. 2/ Anchor to your brand pillars Search by keywords tied to your expertise. This keeps you focused on credibility, not chasing every trend. 3/ Co-create with ChatGPT Build a marketing-specific GPT trained on your voice and past work. Use it to shape ideas into posts that sound like you. 4/ Cross-check with Claude Run the draft through Claude for another perspective. It sharpens the message without replacing your perspective. 5/ Bring the story to life visually Sketch ideas in Illustrator, Canva, or MidJourney. A simple visual can make the message stick. This kind of workflow does not happen overnight. It takes testing, refining, and patience until the process feels natural. AI is not a shortcut. It is your collaborator when you stay in control. ♻️ Share this to inspire stronger client connections 🚀 Follow Michelle Anne Vaira for creative strategy and leadership insights

We’re told that we need to use AI to write faster. But what if instead we use it to write deeper. Here’s how: 1. Instead of training AI to mimic your writing style or brand voice. Feed it the content you struggle to articulate. Upload content you’ve scrapped. Notes you never published. Half-finished drafts. Emotional rants. And ask it to finish the thoughts you couldn’t and articulate what you couldn’t say. 2. I hate to break it to you but if the content it generates feels vague, repetitive, or off…it’s often not the AI, it’s you avoiding specificity, clarity, or truth. Try this: Ask AI to “brutally summarize what I’m trying to say in one sentence”, you’ll quickly spot if you’re hiding behind fluff. 3. Before feeding any idea to AI, name the emotion you want your audience to feel (curiosity, tension, defiance, relief). Then write this prompt: “Write a LinkedIn post that makes people feel relieved that they’re not behind in their career, and position [X insight] as the reason why.” This flips the script from transactional prompting to emotionally intelligent content design. (This is one of the system hacks we used to train Vocable.ai on emotionally resonant content) 4. Give AI the permission to “go there” and become the version of you that’s unfiltered, too raw, or too controversial. Prompt: “What’s the version of this post that would scare me to share but would make people instantly connect with my story?” You’ll either dial it back or… realize that’s exactly what makes the content hit.

The #1 reason people don't use AI in their workflows (and how to fix it) In a recent Supra Insider podcast, Jacob Bank from Relay.app shared a powerful playbook for effective AI implementation. His critical insight: "The main reason people don't use AI in practice right now is not because they haven't heard of it, not because they don't think it's cool... just because they can't trust it to do work on their behalves." The solution? Human-in-the-loop design. Instead of viewing AI as "fully automated or not," successful implementations create thoughtful checkpoints where humans remain in control: 1/ Plan transparency Before executing, AI should communicate its approach to the task. This creates confidence by letting users understand what will happen. Without this step, users fear uncontrolled actions like "writing 5,000 emails to every customer individually" or running up costs unnecessarily. Examples: "Here's how I'll tackle this task and where I'll need your input." 2/ Refinement opportunities Create explicit moments where humans can guide the AI's work while it's in progress. These aren't just approval checkpoints but collaborative interactions. These refinement stages are perfect for content creation, telling the AI to "emphasize this part of the conversation more, this part less, go back and try again." Examples: ↳ "This looks good, but emphasize this part more" ↳ "These results need context from last quarter" ↳ "You're missing an important constraint" 3/ Quality assurance gates Establish critical approval points that cannot be bypassed before final output. For successful AI workflows like LinkedIn content creation, never let AI publish directly. For important workflows, multiple QA checkpoints are essential - first reviewing the draft, then refining for polish, and finally a human edit before publishing. Examples: ↳ "Review this draft before sending" ↳ "Confirm these metrics are accurate" ↳ "Approve this selection of priority items" 4/ Outcome verification Close the loop by providing feedback on results to improve future performance. This step makes AI tools progressively more valuable over time. Use this approach to refine content workflows by analyzing which posts perform well and feeding that data back into the system. Examples: ↳ "The approach worked, but next time include X" ↳ "This missed the mark because of Y" ↳ "This exceeded expectations, let's rely on it more" Even with perfect prompts, AI drafts typically only get "80% of the way to the quality bar" needed for publication. The companies winning with AI aren't eliminating humans from the process. They're creating thoughtful collaboration points that leverage the strengths of both. Where are you implementing human-in-the-loop design in your AI workflows? What checkpoints have you found most valuable?