How to Improve AI-Generated Content

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Summary

Improving AI-generated content involves treating AI as a collaborative partner rather than just a tool, sharing context, and exercising human oversight to refine and humanize the output. This approach bridges the gap between automation and human creativity, ensuring more natural and high-quality results.

  • Clearly define goals: Provide the AI with specific instructions, such as audience, tone, and purpose, to guide its output and maintain alignment with your vision.
  • Engage in iteration: Refine the AI's suggestions by giving feedback, asking questions, and requesting explanations for its edits to stay engaged in the creative process.
  • Add human insight: Inject personal experiences, emotional depth, and cultural understanding to make the content resonate authentically and meet audience expectations.
Summarized by AI based on LinkedIn member posts
  • View profile for Nicole Leffer

    Tech Marketing Leader & CMO AI Advisor | Empowering B2B Tech Marketing Teams with AI Marketing Skills & Strategies | Expert in Leveraging AI in Content Marketing, Product Marketing, Demand Gen, Growth Marketing, and SaaS

    22,500 followers

    Stop asking AI tools like ChatGPT, Gemini, or Claude to edit and rewrite your marketing copy, emails, or other assets. Instead, use them as collaborative partners to help you improve the quality of your work. Here's how 👇 Ask your AI tool to review your work as the editor you want it to be. Are you looking for copy edits for grammar? Changes to stay on brand? Adaptation for a specific vertical? The perspective of your target persona? Give it specific guidance and the skills to be that exact editor. Then provide all of the appropriate context needed to do a great job. Share your goals, audience, brand guidelines, purpose, and/or whatever else a human would need to know to do a good job on the edits. Now comes the magic - request the AI review your copy for suggested changes. Ask it to give you three things for every edit it suggests:   - The original copy you wrote.   - Its suggested revisions. - The reasoning behind each change it suggested. This method works so much better than just asking the AI to re-write your copy and make it better because when you edit using my before/after/why framework you'll get... 1️⃣. Higher-quality edits When the AI is required to explain its suggestions, it avoids making changes just for the sake of making changes. This leads to more thoughtful, meaningful, high-quality improvements. 2️⃣. YOU stay connected Applying the AI’s suggestions yourself keeps you actively involved. You won’t accidentally become complacent (it's so easy with AI!) and blindly accept poor edits that degrade rather than enhance the quality of work. 3️⃣. Critical thinking helps a lot Understanding the reasoning behind a suggestion helps you decide if you agree with the logic. Even if you don’t love the execution, you can adopt the thinking behind the suggestion and adjust the execution to fit your voice and goals. 4️⃣ . The AI may catch edits you might overlook AI can flag things you didn’t notice, giving you the chance to refine them in your own way. This approach works especially well with tools like Gemini in Google Docs, Copilot in Word, or ChatGPT and Claude in a chatbot environment. While it might take a little longer to apply the suggestions, the payoff in quality is well worth it. You'll get higher-quality results and a deeper understanding of your own work. We talk a lot about AI efficiency gains, but AI isn’t just about saving time. One of the biggest reasons to build AI skills is because it improves the quality - not just the speed - of work. In fact, CMOs whose marketing teams I've trained with AI skills over the last 2 years frequently tell me post-training that they can really see who is actively using AI because of the dramatic increase in the quality of their work (and how much better it is than other people's now)! So if you've been asking ChatGPT to re-write your copy for you, try this method with your next project instead, and see how much better it is!

  • You’re doing it. I’m doing it. Your friends are doing it. Even the leaders who deny it are doing it. Everyone’s experimenting with AI. But I keep hearing the same complaint: “It’s not as game-changing as I thought.” If AI is so powerful, why isn’t it doing more of your work? The #1 obstacle keeping you and your team from getting more out of AI? You're not bossing it around enough. AI doesn’t get tired and it doesn't push back. It doesn’t give you a side-eye when at 11:45 pm you demand seven rewrite options to compare while snacking in your bathrobe. Yet most people give it maybe one round of feedback—then complain it’s “meh.” The best AI users? They iterate. They refine. They make AI work for them. Here’s how: 1. Tweak AI's basic setting so it sounds like you AI-generated text can feel robotic or too formal. Fix that by teaching it your style from the start. Prompt: “Analyze the writing style below—tone, sentence structure, and word choice—and use it for all future responses.” (Paste a few of your own posts or emails.) Then, take the response and add it to Settings → Personalization → Custom Instructions. 2. Strip Out the Jargon Don’t let AI spew corporate-speak. Prompt: “Rewrite this so a smart high schooler could understand it—no buzzwords, no filler, just clear, compelling language.” or “Use human, ultra-clear language that’s straightforward and passes an AI detection test.” 3. Give It a Solid Outline AI thrives on structure. Instead of “Write me a whitepaper,” start with bullet points or a rough outline. Prompt: “Here’s my outline. Turn it into a first draft with strong examples, a compelling narrative, and clear takeaways.” Even better? Record yourself explaining your idea; paste the transcript so AI can capture your authentic voice. 4. Be Brutally Honest If the output feels off, don’t sugarcoat it. Prompt: “You’re too cheesy. Make this sound like a Fortune 500 executive wrote it.” or “Identify all weak, repetitive, or unclear text in this post and suggest stronger alternatives.” 5. Give it a tough crowd Polished isn’t enough—sometimes you need pushback. Prompt: “Pretend you’re a skeptical CFO who thinks this idea is a waste of money. Rewrite it to persuade them.” or “Act as a no-nonsense VC who doesn’t buy this pitch. Ask 5 hard questions that make me rethink my strategy.” 6. Flip the Script—AI Interviews You Sometimes the best answers come from sharper questions. Prompt: “You’re a seasoned journalist interviewing me on this topic. Ask thoughtful follow-ups to surface my best thinking.” This back-and-forth helps refine your ideas before you even start writing. The Bottom Line: AI isn’t the bottleneck—we are. If you don’t push it, you’ll keep getting mediocrity. But if you treat AI like a tireless assistant that thrives on feedback? You’ll unlock content and insights that truly move the needle. Once you work this way, there’s no going back.

  • View profile for Holly Hester-Reilly

    DevTools & AI Product Leader | 0-to-1 Expert | Built Products from Prototype to 5M Users | NYU Professor & Founder | $50M to $500M & 100-1,000 employee growth stage startups | ex-MediaMath 🦄, ex-Shutterstock

    5,334 followers

    How AI Helps Me Create Better Content: My Writing Partnership with Claude I've been using AI as a thought partner in my writing process, and it's transformed how I develop content. Here's my approach: First, I give Claude context - existing materials, interview transcripts, or data sets relevant to what I'm creating. This ensures the AI understands the depth and nuance of the subject. Then I define clear communication goals - who the audience is and what we're trying to accomplish. But the magic happens in step three: I have Claude ask me probing questions about my ideas. This forces me to articulate my thoughts more clearly and often reveals gaps in my thinking. Once I've thoroughly explored the concept, Claude creates an initial draft incorporating my insights. Having this "strawman" to respond to dramatically accelerates my process - I can quickly identify what works and what needs refinement. The critical step: fact-checking. I review everything carefully, looking for assertions that might not be backed by evidence. Several times I've asked Claude where it got a statistic only to receive an apology for making it up! Finally, I move the draft to collaborative tools where colleagues provide additional feedback. This approach has dramatically increased not just my productivity and writing quality, but the depth of my thinking itself. The AI doesn't replace my expertise - it amplifies it by challenging assumptions and helping clarify complex ideas. Want to know more about how I'm using AI to improve my product leadership? Full article link in the comments.

  • View profile for Kevin Indig

    Growth Advisor | Hypergrowth Partner

    57,246 followers

    Machine-generated content isn't the enemy—it's just the beginning of your creative process. But most don’t know how to edit AI content. Today, I published a Memo that details how I edit AI content. Most editors waste time on grammar when they should focus on what AI fundamentally lacks: - Purposeful imperfection that creates authenticity - Emotional intelligence born from lived experience - Cultural awareness that shapes genuine communication The real opportunity isn't replacing writers but creating a collaborative harmony between computational efficiency and human insight. I've developed a specific cadence: 1. Structure (organize for user intent) 2. Language (break robotic rhythms) 3. Humanization (inject stories and perspective) 4. Polish (optimize without sanitizing) My editing checklist ensures nothing slips through—from verifying facts to eliminating those meaningless AI fillers we've all seen. ("It's important to note that..." 🙄) The future belongs not to those fighting AI but to those who learn to dance with it—knowing precisely when human perspective should lead and when algorithmic efficiency should follow.

  • View profile for Bill Quell

    Internet Marketing Consultant | 5minF2F.com Founder | ClickAwayMarketing.com Founder | TriNexusAI COO • 📚 Advisor at Nex Cubed • 🌏 Websites • 🔥 SEO • Google Analytics • 🎯 PPC • Social Media • ✉ Email Marketing

    3,031 followers

    Your AI-generated content is killing your SEO. Here's how to fix it without sacrificing scale. 3 hybrid strategies for 2025 ↓ AI content generation has revolutionized marketing, but it's a double-edged sword for SEO. Google's E-E-A-T guidelines prioritize Experience, Expertise, Authoritativeness, and Trustworthiness. AI-generated content often lacks these crucial elements. But don't panic. Here are 3 hybrid strategies to boost your E-E-A-T without losing scale:  1. Human Touch-ups:   Use AI for initial drafts, then have subject matter experts review and   enhance. Add original insights, real-world examples, and industry-specific knowledge.   This combines AI efficiency with human expertise.  2. AI-Assisted Research:   Leverage AI to gather data and identify trends.   Have human writers interpret findings and craft unique, authoritative   content.   This approach ensures depth and credibility while saving time.  3. Personalized AI Training:   Feed your AI tool with company-specific data and industry insights.   Fine-tune it to match your brand voice and expertise.   The result? More authentic, brand-aligned content at scale. Remember: Google values original thought and real-world experience. Implement these strategies to create content that resonates with both search engines and readers. Elevate your SEO game and stand out in the digital landscape! Let's explore the possibilities together.

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