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How To Use AI To Generate LinkedIn Posts: Prompts, Best Practices & Tools

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Struggling with writer’s block when trying to write LinkedIn posts?

I was there too not too long ago – until I found how to use AI to generate (quality) LinkedIn posts without having to spend hours writing them up from scratch.

In this article, I’ll walk you through my prompts for idea generation, generating LinkedIn posts without sacrificing quality, and some of my best practices for creating posts that get engagement.

Before we begin, let’s go over what makes a good post on LinkedIn. 👇

What Makes a Good LinkedIn Post?

Posts on LinkedIn that usually get engagement are posts that:

  • Have a hook that makes people want to read more about the post.
  • Provide interesting, unique, or informative content that intrigues or educates the readers.
  • Has a personal touch to it – through a story or previous successes.
  • Makes readers engage with the content by asking questions or being clear on what the next action should be.
  • (Bonus) Featuring a good creative that interests people when they are scrolling, such as a video or a carousel.

Even though it will be up to you as the writer to add a personal touch to the LinkedIn posts, artificial intelligence is still capable of automating the bigger part of this process.

➡️ This will let you focus on the strategic part of your LinkedIn profile, such as:

  • Measuring results from the content.
  • Researching interesting topics that will solve your target audience’s problems.
  • Writing personal stories and working on mini case studies to build authority.

How To Create LinkedIn Posts With AI: Step-By-Step

Now that we discussed what makes a good LinkedIn post, I’ll walk you through my process of generating LinkedIn posts that generate engagement. 👇

Step #1: Generate LinkedIn Post Ideas

The first step to generating engaging LinkedIn posts is to come up with the post ideas in the first place.

If you’ve got no problem coming up with content ideas for LinkedIn you can skip this step.

Our goal is going to be to generate 10 post ideas for our niche and target audience and we are going to explain in great detail who we are planning to write for.

Here’s my prompt inside Team-GPT (our platform) that lets you collaborate with your team on ChatGPT:

Generate 10 LinkedIn post ideas around advice on how to utilize AI for digital marketing with generative AI tools.

My target audience is marketing teams at enterprises and I know that they are struggling with scaling content creation and spending much time on mundane tasks instead of focusing on the strategic aspect of digital marketing.

Step #2: Feed Your Writing Style To The Algorithm

Now that we’ve got 10 LinkedIn post ideas for our target audience, we’ll need to feed our writing style into the algorithm.

Otherwise what’s going to happen is that the generative AI tool you’re using will write a generic (often robotic) LinkedIn post.

With social media post generators like Team-GPT, you can add custom instructions to the generative AI platform of your choice (e.g., ChatGPT or Claude).

To do that, you have to:

  • Click on ‘’Custom instructions’’ on the bottom right.
  • Then click on ‘’Create instructions’’.
  • Choose ‘’WritingStyle’’ from the dropdown menu and write your custom instructions.
  • Equip the custom instructions whenever you are creating LinkedIn posts.

Step #3: Generate Each LinkedIn Post

Now that we’ve got our content ideas and writing style set in place, we need to start generating some quality LinkedIn content.

Important: You’ll want to generate all LinkedIn posts separately and not in 1 go. 

Do not ask the platform to generate 10 LinkedIn posts at the same time, because the output wouldn’t be as good.

Here’s the prompt I’m using:

I want you to take into account the writing instructions provided to you and generate this LinkedIn post:

Post Title: Automate to Innovate: Scaling Content Creation with AI

Content: Discuss how generative AI can help marketing teams produce large volumes of content quickly, freeing up time for strategic planning. Share tips on integrating AI tools into existing workflows for maximal efficiency.

I want you to start off with a hook that amazes the readers with a benefit (e.g., ”Did you know that you do not have to spend hours researching for article content?) Then, limit the emoji use to 3 and make it relevant to the post.

After that, I’d remove the ‘’hook’’ and ‘’content’’ wording from the LinkedIn post and double-check if the content makes sense.

This process can then be repeated for all of the 10 LinkedIn post ideas.

(Bonus) Step #4: Create Carousels

As LinkedIn carousels have been getting plenty of engagement and traction in the social media platform, I’ve also incorporated carousels into our LinkedIn strategy.

Here’s how you can generate a carousel copy for your LinkedIn posts:

Prompt: I want you to re-generate me the previous LinkedIn post but I want you to make it in carousel format. Split the content into multiple bite-sized pieces of information that I can discuss over a few slides.

The generative AI platform separated the informative LinkedIn post into smaller chunks of information that I can use in my slides.

💡 To speed up that process, you can create a template inside a tool like Canva with your branding so you can just input the bite-sized pieces of content into it for faster publishing.

Best Practices For Creating Effective LinkedIn Posts With AI

There are a few best practices to keep in mind when trying to build engaging LinkedIn posts with AI:

#1: Input A Writing Style

You can generate LinkedIn posts that adhere to your writing style and brand guidelines so you can scale your content production without the heavy editing required.

I believe that true content creation scaling comes with inputting a custom writing style so you can replicate your writing across multiple content pieces.

You can add your own or someone else’s writing style by:

  • Prompting the writing style of a specific person to a generative AI platform manually, such as ‘’write like Brian Dean’’.
  • Prompting the writing style of your brand with words, such as ‘’write in a professional but playful manner.’’
  • Customizing the generative AI platform to your needs by using a tool like Team-GPT that lets you add instructions and essentially train your version of ChatGPT.

➡️ You can take it a step further and build a custom LLM model that writes exactly like you, and then bring it to Team-GPT to collaborate with your team.

For example, here are our custom instructions when generating content briefs.

#2: Master The Hook

The ‘’hook’’ in LinkedIn language is the first sentence that you are putting out on your posts.

The goal of the hook is to interest your readers and to stop them from scrolling down to check out your post.

Here’s an example hook from Ben Goodey who intrigues the readers by claiming that even though he’s not very interested in AI technology, he still believes that AI tools can save you time and improve your content.

So potential readers start wondering – what did this person find out about AI that I can use in my workflows?

#3: Enrich With a Personal Story

I believe in personal stories to enable me to truly connect with my audience on LinkedIn.

You can enrich your AI-generated educational LinkedIn posts with a personal story to improve your posts’ engagement.

An example of a personal story that drives engagement is from Jessica R that starts off by saying that she deleted ChatGPT.

The entire post is a story, which is why I doubt she used any AI to write it, but it’s a good example of using stories to improve your engagement because they are relatable.

#4: Proof-Read The Posts

Last but not least, you should always proofread the posts that you are generating with AI technology and I cannot stress that enough.

Even though artificial intelligence can save you time and money from expensive copywriters, you’ll still need to have the final look at the output.

When you’re creating customer-facing content, such as in advertising or on social media, it’s a must to double-check if all the content makes sense.

Best AI Tools To Generate LinkedIn Posts

Here are some of the best generative AI tools to help you generate LinkedIn posts that drive engagement in 2024.

#1: Team-GPT: Customize a Better Version of ChatGPT For LinkedIn

You can use ChatGPT with your marketing team on Team-GPT’s platform and customize it to your needs for LinkedIn

After that, use your version of ChatGPT for LinkedIn and social media tasks, such as:

  • Generating LinkedIn posts, captions, and copy for carousels.
  • Getting LinkedIn post ideas.
  • Generating creatives with DALL-E 3.
  • Editing and finalizing posts with Pages and Editing with AI.
  • Generating advertising copy for LinkedIn Ads if you decide to go that route.

Here’s why social media marketers use our platform for LinkedIn content generation:

  • Use different AI models for generating LinkedIn content: You can use the basic or a customized version of ChatGPT, Claude, Perplexity, and DALL-E 3.
  • A shared workspace where your team can collaborate in chats and documents in real-time from a single platform.
  • Smart AI-powered editing for improved writing, fixed grammar, and refined text.
  • Managing your content by turning any chat into a document or starting a new conversation from a Page.

You can create custom instructions for ChatGPT and other writing tools so that the AI models know how to structure the LinkedIn posts and what tone to use. 

You can add instructions for brand voice, language, and writing style to scale your LinkedIn content production without heavily editing it.

Feature #2: Generate Images With DALL-E 3

You can integrate DALL-E 3 in Team-GPT to generate on-brand image visuals for your LinkedIn posts.

Introducing Dall-E 3 in Team-GPT | Team-GPT

Similar to the way our integrations with ChatGPT and other AI tools work, you can connect DALL-E 3’s API.

It is possible to generate images by inputting your image descriptions and then selecting the quality and size you need.

Pro Tip: If you double-click on the ‘’Prompt’’, our platform will generate an enhanced prompt where the model adds more context to the initial prompt before generating the image.

You can also download and/or re-generate if you are not satisfied with the outcome.

#2: Perplexity

Perplexity is ideal for generating research-backed LinkedIn posts for your brand.

I personally like the AI platform as it has above-average trainability and is good at generating emojis and hashtags for LinkedIn posts.

The advanced AI model integrates advanced search capabilities with generative AI to provide you with research-backed LinkedIn posts.

For example, you can see in the screenshot above how the platform found features about the product I asked the platform to generate a LinkedIn post for.

What’s more, Perplexity is also capable of generating content and imagery since it can access multiple LLMs.

#3: Copy AI

Copy AI is one of the more popular AI content creation tools for social media content creation I came across in my research.

The platform is a good AI for generating social media copy for any marketing channel, but LinkedIn posts are where I felt like the platform could be at its best.

There is a pre-made AI-powered LinkedIn post generator that lets you use different marketing frameworks, such as AIDA, PAS, and BISCUIT.

The platform is ideal for marketing teams looking to scale their LinkedIn content production by inputting their topic and choosing a psychological framework to improve their engagement rate.

There are additional LinkedIn-related templates available from Copy AI, such as their free LinkedIn headline generator.

Generate On-Brand LinkedIn Posts With Team-GPT Alongside Your Team

You can generate on-brand LinkedIn posts alongside your marketing team by building a customized version of ChatGPT inside Team-GPT.

Our enterprise AI platform lets your team generate LinkedIn copy, post ideas, and hashtags by utilizing various AI models like ChatGPT, Claude, and Perplexity.

Apart from that, you can access:

  • A comprehensive pre-made prompt library to create efficient workflows.
  • Detailed usage analytics to track employee engagement.
  • Enterprise-grade security ensures data privacy and the ability to host the platform on your servers.

Sign up for a demo of the platform today!

Iliya Valchanov
CEO at  | Website

Iliya teaches 1.4M students on the topics of AI, data science, and machine learning. He is a serial entrepreneur, who has co-founded Team-GPT, 3veta, and 365 Data Science. Iliya’s latest project, Team-GPT is helping companies like Maersk, EY, Charles Schwab, Johns Hopkins University, Yale University, Columbia University adopt AI in the most private and secure way.