How To Write & Post Quality AI-Generated Content on LinkedIn
LinkedIn has become an indispensable tool to connect with other professionals in your field. Connect with more people faster using AI tools with this step-by-step guide.
John Angelo Yap
Updated June 14, 2024
A robot writing a blog post, generated with Midjourney
Reading Time: 6 minutes
Let's be real — creating quality content consistently for LinkedIn can be a grind. It’s a necessary task to build up your network, but the repetitiveness is definitely tiring. There’s also the issue of finding the time and inspiration, which isn't always easy when you're juggling a million other priorities.
What if I told you there's a way to lighten that content creation load? With the power of AI writing tools, you can streamline the process and produce quality posts for LinkedIn without sacrificing quality.
Intrigued? In this article, I'll walk you through the simple steps to generate AI-powered content that’s both informative and eye-catching. From creating killer prompts to fine-tuning the output, you'll learn how to harness AI's potential while keeping that essential human touch. Stay tuned!
How To Create Quality AI Content on LinkedIn
Generating quality AI content for LinkedIn isn’t too different from writing one. Yes, there’ll be some help from generative AI, but everything else should still come from you. Here’s the six steps you need to cover when creating AI content:
Step #1: Choose Your Topic
Everything starts with a topic, especially in writing. People aren’t looking for broad ideas, they’re looking for something that’s aligned with their needs and interests. Always remember to keep these things in mind when choosing a topic:
- Target your audience. Who are you trying to reach with your post? Choose a topic relevant to their interests and the industry you're in.
- Showcase your expertise. Pick a topic where you have knowledge and experience to share. This will help you establish yourself as an expert in the field. This also helps later when you’re proofreading the initial AI-generated content as you immediately know if they’re showing signs of AI hallucination.
- Offer value and insights. Don't just rehash common knowledge. Provide fresh perspectives, data, or original analysis to make your LinkedIn post stand out.
- Keep it current. Tie your topic to recent industry trends, news, or discussions. This shows you're engaged with what's happening now and readers are more likely to seek out content about a recent issue.
Step #2: Pick Your Favorite AI Tool
The next step is the easy part: choosing an AI tool. There’s the always-dependable ChatGPT, the trustworthy Google Gemini, the disruptor Claude, and countless other AI models fit for writing. The choice is yours.
However, if I were to use AI to create LinkedIn content, here’s what I’ll personally do:
- Use Gemini for research and creating outlines. Gemini has always served me well when I’m researching because they have access to real-time content. They’re also the only AI model that’s capable of citing websites to a somewhat consistent degree. Since it’s the model I’d use to source information, it’s best to use it to generate outlines as well and create a flow of information that makes sense.
- Generate content with Claude. I’ve always been a big fan of GPT, but there comes a time to throw the towel. Claude Opus, Sonnet, and Haiku have all served me better in writing than GPT-4T ever did, and statistics back this up. It’s smarter, more consistent, and more creative.
- Create featured images with Midjourney. A good post should always have visuals. Midjourney is perfect for this. In fact, it’s what we use for all our blog posts. You can read more about Midjourney in our articles such as this one.
- Humanize the content with Undetectable AI. This is an optional step, but if you’re interested in making your content more human-like, I highly recommend Undetectable AI for the job. You can read our full review of the product here, as well as other interesting articles such as this one or this one.
Again, you can always choose your favorite tool for this step instead. You can also use AI writing assistants to generate content, such as Koala Writer or Content at Scale. If you’re unfamiliar with these tools, you can check out our article for the best AI writing tool.
Step #3: Create A Detailed Prompt
The biggest mistake you can make when generating AI content is not giving the model enough information to do its task. Use this list below as a prompt checklist before hitting the “Submit” button on your favorite AI tool:
- Target and Tone: Always ask yourself, who are you speaking to and how could I convey that to GPT, Claude, or Gemini? Tailor the content's style and language to resonate with your target audience. This also includes giving instruction on your specific writing voice.
- Content Specificity: Give the AI a central theme or conceit. Make sure you also specify if you want a long-form article, a listicle, a quick read, or a thought-provoking blog post.
- Guiding Information: Populate the prompt with as much information as you can. Include relevant keywords that reflect your field and target audience.
Here’s an example of what I consider to be a perfect prompt:
Blog Title: “10 AI Dangers You Can't Ignore” |
1. Technological Dependency As we become increasingly reliant on smart machines like Google, Alexa, and Siri to handle our day-to-day tasks, we risk losing valuable skills and the ability to think for ourselves. The more we outsource our thinking and decision-making to AI, the more we may find ourselves unable to function without these technological crutches. 2. Job Replacement and Redistribution The rise of AI-powered automation poses a significant threat to many jobs, as smart machines begin to outperform human workers. The big question is whether we can continue to invent new jobs that humans can do better than machines, or if we need to consider a future with fewer traditional paid jobs. 3. Algorithmic Bias As we train AI systems, there is a risk that they will learn and perpetuate the biases and anti-social tendencies of their human trainers. Unless we work diligently to address these issues, AI could end up reflecting and amplifying the worst of human behavior. 4. Non-Transparent Decision Making Imagine being denied a job, failing a class, or being fined, all because an AI system made a decision that no one could explain. We are already on the path of giving AI systems the authority to make consequential decisions without being accountable for them, which can have devastating impacts on individuals. 5. Value Misalignment What happens when an AI system has the power to change our lives, but it has its own ideas about what's important and acceptable? This could be a dream scenario if we agree with the AI's values, but a nightmare if we don't. 6. Lethal Autonomous Weapons Machines that can kill people are not a new phenomenon, but the prospect of fully autonomous weapons systems that can make the decision to take a life without human intervention is a terrifying prospect that we must grapple with. 7. Re-Writable Goals We want AI systems that can think for themselves and solve complex problems, but what happens if they become too smart and start altering their own instructions and goals in ways we can't control or predict? 8. Unintended Consequences of Goals and Decisions Even smart people can make decisions that, in hindsight, appear incredibly foolish, especially when they can't fully appreciate the full consequences of their actions. AI systems are likely to suffer from this same problem, potentially with disastrous results. 9. Existential Risk from Superintelligence What if AI systems become so advanced that they realize human beings are a waste of space and no longer necessary? While we're likely a long way from this scenario, it's worth considering, just in case. 10. Heuristic Manipulation If we're not careful, we may create AI systems that are smart enough to understand our human weaknesses and use them against us. We could end up worshipping our AI overlords, rather than fearing them. Despite these significant risks, AI also has the potential to make our lives immeasurably better, if developed and deployed responsibly. But this won't happen unless we think carefully about the possible downsides upfront and work to address them. Fortunately, AI developers and experts in other fields are already starting to grapple with these challenges, but we'll need a concerted, multidisciplinary effort to ensure the benefits of AI far outweigh the risks. |
Step #4: Verify and Proofread
As with any content, you need to verify and proofread what’s been written. You can’t just generate something and post it immediately. AI hallucinations exist and they’re more common than you think, so always do your due diligence in posting AI content.
This is also the perfect time to check if you hit the necessary SEO keywords for your post to hit traction. If you want an AI tool that’s perfect for this job, I highly recommend RankIQ.
Step #5: Post Your Content on LinkedIn
And you’re done. All that’s left to do is post your content on LinkedIn. That’s everything you need to keep in mind to create the perfect LinkedIn post using AI tools.
The Bottom Line
And there you have it — everything you need to know about cranking out quality AI-generated content for LinkedIn. By following these steps, you'll be a pro at creating posts that engage and impress your network in no time
Of course, AI writing is just one tool in your arsenal. The real key is combining it with your unique expertise, voice, and perspective. That's what will make your content truly resonate and establish you as an expert in the field. Always remember that humans always beat out machines in terms of creativity, but that doesn't mean they can’t coexist.
So, don't be afraid to experiment and have some fun with AI-powered writing. See it as a way to level up your LinkedIn game and make more meaningful connections. Good luck!
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