How to Customize ChatGPT for LinkedIn Content Creation

What if you could train ChatGPT to write LinkedIn posts that sound just like you—or even capture the voice of your favorite thought leader? Imagine creating AI-generated content that feels personal, connects with your audience, and reflects your unique style in every post. The outcome? More engaging content, better visibility, and stronger connections with your professional network.

With tools like the TexAu LinkedIn Post Scraper, you can simplify the content creation process by gathering your best-performing posts, or those of industry leaders you admire. By doing this, you build a custom dataset that helps ChatGPT understand your writing style, tone, and sentence structure—ensuring every AI-generated post sounds natural and professional.

In this guide, we’ll explore how to use a style guide to direct ChatGPT’s prompts, so it consistently delivers content that fits your brand and voice. Whether you need marketing posts, casual updates, or in-depth professional articles, we’ll help you create content that feels authentic and aligns with your goals.

Let’s get started on transforming your content creation with AI-driven posts that showcase your expertise and personality.

Understanding the Basics of Language Models

In the rapidly evolving field of artificial intelligence, grasping the fundamentals of language models is crucial for leveraging their full potential. Whether you’re using tools like ChatGPT or aiming to build a tailored GPT model, understanding how these models work is key to unlocking their power and enhancing content creation.

What Is a Custom GPT?

Large Language Models (LLMs), such as OpenAI’s Custom GPTs, are designed to generate AI-driven content by predicting the next word in a sequence based on the context they receive. These models are trained on vast datasets, including books, articles, and user-specific data, enabling them to understand grammar, reasoning, and various writing styles.

A Custom GPT is essentially a specialized version of the base model, fine-tuned to generate text in a particular style, tone, or voice. For instance, it can replicate your personal writing style, align with your brand’s voice, or mimic a thought leader’s communication approach. This is especially useful for creating high-performing LinkedIn posts, social media content, and other tailored content.

Customizing GPT involves two key steps:

Prompt Engineering: This is the process of creating precise prompts that direct the GPT’s output. You tailor these prompts to suit your needs, such as the tone, sentence structure, or format you want in your content.
Fine-Tuning: This step involves training the GPT further with curated datasets, such as your best-performing posts or articles, to ensure it consistently generates content that matches your style and objectives.

Why Personalization Matters

Personalizing AI-generated content transforms it from generic to truly unique, making it more likely to resonate with your audience.

Build Brand Consistency: Maintaining a consistent tone across all your posts, blogs, and other content helps reinforce your brand identity and fosters trust. Studies have shown that consistent branding can increase revenue by up to 23%.
Enhance Audience Engagement: Tailoring content based on your most successful posts ensures your output feels authentic and relatable. Research indicates that 80% of consumers prefer brands that offer personalized experiences.
Drive Better Results: By using tools like the TexAu LinkedIn Post Scraper, you can train your GPT with your top-performing content. This way, the model learns from your best posts, helping to improve engagement metrics like audience retention, click-through rates, and overall interaction.

By combining AI's capabilities with your personal content style, Custom GPTs can create authentic, audience-focused content—whether for thought-provoking LinkedIn posts, concise messaging, or engaging social media content.

Step-by-Step Process

1. Identify Key Sources

The first step is to pinpoint where your most successful content lives and identify key influencers in your niche. Gather both your top-performing posts and influencer content to build a comprehensive dataset. Viral posts and influencer content have already proven their effectiveness, reflecting high engagement through likes, shares, and comments. By gathering this content, you ensure that the data used to train your GPT model includes the styles and topics that resonate with your target audience.

Pro Tip: Use LinkedIn Analytics to track your best-performing posts and tools like Semrush to discover trending keywords or topics. According to SocialPilot, 92% of marketers rely on analytics to understand audience behavior.

2. Use TexAu Post Scraper

The TexAu LinkedIn Post Scraper helps automate the process of scraping influencer posts and your own high-performing content. This tool streamlines data collection, saving time and ensuring you don’t miss valuable material.

How to Use TexAu:

Identify your LinkedIn profile and influencer accounts in your niche.
Run the TexAu Post Scraper to extract post titles, descriptions, URLs, and engagement data (such as likes, shares, and comments).
Export the scraped data to a CSV file or Google Sheets for review and filtering.

Pro Tip: Scrape data from multiple timeframes (e.g., the past 6-12 months) to capture both evergreen and trending content. According to HubSpot, marketers who analyze competitor content are 40% more likely to identify high-performing strategies.

Actionable Tip: Focus on LinkedIn posts that have significant engagement reactions or comments to ensure that only high-quality content is included in your dataset.

3. Filtering & Cleanup

After TexAu collects your data, it's time to clean and filter it to ensure it’s relevant and consistent for training the OpenAI GPT.

Steps to Clean Your Data:

Remove Off-Topic Entries: Eliminate posts that don’t align with your goals, themes, or intended audience.
Filter Out Low-Performing Posts: Avoid posts with minimal engagement, as they won’t help in training your GPT effectively. Stick to the highest-performing content.
Ensure Data Consistency: Standardize formatting by removing unnecessary emojis, special characters, and URLs that could confuse the AI model.

Pro Tip: Use Google Sheets filters or Python scripts for efficient cleanup. A clean, high-quality dataset can improve the fine-tuning of AI by up to 30%.

4. Ensuring Quality and Diversity

To prevent repetitive outputs, your dataset should combine high-quality posts with diverse content types and tones. A balanced dataset ensures that your GPT model can generate a range of outputs, including LinkedIn posts, blog introductions, and social media captions—all in your unique style.

Balance Your Content: If you're combining your content with influencer content, aim for a good mix (e.g., 70% your posts, 30% influencer posts). This ratio ensures the model learns from your voice while still incorporating diverse ideas.

Power of Prompting: Writing Engaging LinkedIn Posts with ChatGPT

Once your dataset is prepared, prompt engineering is crucial for crafting impactful LinkedIn posts. It enables you to direct ChatGPT’s output toward a specific tone, voice, or writing style by providing detailed instructions.

Unlike fine-tuning, which involves custom training on large datasets, prompting utilizes GPT’s pre-trained knowledge to generate high-quality LinkedIn posts. For example, instead of simply asking, "Write a LinkedIn post about personal branding," you could use a more specific prompt like:

"Write a LinkedIn post about personal branding in a conversational tone with humor, sharing a relatable anecdote about how a small change in your profile led to more opportunities."

Why It Matters: A well-designed prompt minimizes guesswork and ensures the AI generates content that resonates with your audience. By specifying the tone, structure, and content focus, you guide the creative process and ensure the output aligns with your voice and objectives.

Pro Tip: Be clear and concise in your prompts. Include details about your target audience or the desired outcome to ensure the content feels authentic and aligned with your brand. Prompt engineering empowers you to create LinkedIn posts that are engaging, human, and impactful.

Building a Custom GPT for Writing Viral LinkedIn Posts

Creating a Custom GPT to write viral LinkedIn posts can transform the way you engage with your audience. By teaching the AI to mimic your unique writing style, you can consistently produce content that resonates with your followers and sparks conversations. Here’s how you can build a Custom GPT that works for you.

Step 1: Start with Prompt Engineering

Think of prompt engineering as giving your AI a clear roadmap for how you want it to write. The more specific you are, the better the results. Here are three example prompts that will guide GPT to write LinkedIn posts in your style:\

Prompt 1: Writing Viral LinkedIn Posts Like Me

"Write LinkedIn posts that sound exactly like I do—posts that have gone viral in the past. I’ll give you a topic, and I want you to generate an engaging, shareable post. Your job is to copy my tone, sentence structure, and storytelling style. If you need examples, I can provide some of my most popular posts."

This is your first step to getting GPT to understand your voice. By feeding it examples of posts that performed well, you’re teaching the AI how to mirror your style and structure.

Step 2: Training GPT with My Top Posts

Now, it’s time to fine-tune GPT with a dataset made up of your best-performing posts. The idea is to make sure that GPT gets the nuances of how you write, from sentence structure to the way you engage with your audience.

Prompt 2: Training GPT with My Top LinkedIn Post

"Let’s say I give you my top 50 LinkedIn posts. Your job is to study them closely—how I structure my sentences, how I engage readers, and how I tell stories. Once you understand my writing style, you should be able to write new posts on any topic I give you, but always in my voice and style. Let me know if you need those posts to get started."

With this prompt, you’re setting GPT up to absorb the essence of your best posts. The AI will then be able to generate content that feels natural and true to your brand.

Step 3: Structure Posts for Maximum Impact

A viral LinkedIn post isn’t just about the content—it’s about how you present it. Structuring your posts with an attention-grabbing hook and a compelling story is key to keeping your audience engaged.

Prompt 3: Crafting Posts with Attention-Grabbing Hooks

"I want you to create LinkedIn posts that follow a specific structure: Start with a powerful hook in the first two lines. Something that grabs attention and makes people want to keep reading. After that, dive into the story or explanation behind the topic. Avoid generic openings like ‘Hello LinkedIn!’ and steer clear of just listing points. The post should flow naturally, compelling the reader to keep going."

This prompt will help GPT generate posts that are not just informative but captivating. The hook gets attention, and the rest of the post keeps people engaged.

Refining Your Custom GPT

Once you’ve got the basics down, it’s time to fine-tune. Even with great prompts, you’ll likely need to refine the results to ensure the AI truly captures your voice. Here’s how:

Review and Test Outputs: After GPT generates posts, take a close look at how well they match your style. Are they engaging? Do they sound like you? If not, adjust your dataset or prompts.
Provide Feedback: If GPT’s posts don’t quite hit the mark, give clear instructions on how to improve. For example, ask it to rewrite the post with a more conversational tone or add more humor.
Iterate and Test Again: The more you experiment with different prompts and topics, the better your results will become. Try testing it with different themes—personal branding, industry insights, or leadership—to see how well GPT adapts to various subjects.

Pro Tip: If you feel the model isn’t quite capturing your style, try being even more specific with your instructions. For example, ask for a post that is more casual or friendly, or one that includes a personal anecdote.

Creating Viral LinkedIn Posts Using Custom Prompts

Unlock the potential of your LinkedIn content with ChatGPT by using tailored prompts that help you create engaging, shareable posts. Whether you're looking to create data-driven content, repurpose video material, or write in your unique style, these prompts will help you generate LinkedIn posts that stand out and drive results.

Prompt 1: In-Depth Research-Based Post from Online Articles

Goal: A well-researched LinkedIn post that establishes authority.

"I want you to create a viral LinkedIn post on the topic I give you, but first, I need you to conduct thorough research. Search the keyword online, read at least five detailed blog articles, and gather insights. Use relevant data points, statistics, and trends. Make sure you include all key information. Should I provide the topic?"

Best Use: This prompt is perfect for creating informative, data-rich posts that can position you as an expert in your field.

Example: If you’re discussing "AI in Marketing," ChatGPT will research the latest stats, trends, and case studies to create a post that’s both informative and shareable.

Prompt 2: YouTube Transcript-Based Post

Goal: Repurpose video content into a concise and engaging LinkedIn post.

"I want you to create a viral LinkedIn post based on the transcript of a YouTube video I’ll provide. Include all numbers, key details, and data from the transcript. Make sure to reflect every important piece of information accurately. Should I share the transcript with you?"

Best Use: Ideal for turning long-form video content, such as expert talks or panel discussions, into easy-to-read LinkedIn posts that still capture the essence of the video.

Example: You could use a transcript from an expert panel on remote work trends to craft a post summarizing the main insights in an engaging way.

Pro Tip: Use tools like Tactiq.io to quickly extract transcripts from YouTube videos. This tool will help you get accurate transcripts that you can then repurpose into posts.

Prompt 3: Article-Based Post in Your Style

Goal: A LinkedIn post written in your personal tone and storytelling style.

"I want you to create a LinkedIn post in my writing style, using the content from the articles I provide. Make sure to include relevant data points, insights, and any other important details. Start with a strong hook, use storytelling, and avoid clichés like 'Hello LinkedIn community.' Should I share the articles with you?"

Best Use: This prompt works great for ensuring the post reflects your personal voice and writing style, especially when you’re sharing insights or advice from external articles.

Example: Using insights from articles on leadership, ChatGPT could create a post that provides actionable advice in your signature storytelling approach.

How to Use These Prompts

Identify Your Source: Choose whether you want to use research, video transcripts, or articles to generate your post.
Provide Clear Input: Share the topic, transcript, or article with ChatGPT to get the output tailored to your needs.
Review and Refine: After ChatGPT generates the post, make sure to adjust it to match your exact tone and brand voice.

By using these prompts, you can streamline your content creation process and produce high-quality LinkedIn posts that resonate with your audience.

Human Oversight in LinkedIn Post Writing

While AI tools like ChatGPT are powerful, human oversight is essential to ensure the content aligns with your personal style, brand, and messaging. Here’s why it matters:

Why Human Review Is Key:

Contextual Nuances: AI might not fully grasp the subtleties of humor, sarcasm, or cultural references that make LinkedIn posts engaging.
Brand Alignment: You want your posts to reflect your personal or professional brand consistently. Human review ensures that your content is aligned with your tone and values.
Accuracy: Even the most sophisticated AI can occasionally make factual errors or miss out on key details. A human editor ensures that all data points and information are correct.

Practical Workflow for LinkedIn Post Oversight

a. Draft Review: Assign an editor or content strategist to review the AI-generated post.

b. Benchmark Comparison: Compare the AI-generated draft with your previous successful posts to ensure it matches your tone and style.

c. Refinement: Provide feedback to fine-tune the AI’s output to ensure it resonates with your audience.

Pro Tip: Use tools like Grammarly for grammar checks and Hemingway for readability to improve the post’s clarity and effectiveness.

Real-World Example: AI might craft a solid LinkedIn post on leadership trends, but a human reviewer can polish the hook, refine storytelling, or adjust tone for better alignment with audience preferences.

Conclusion:

Customizing ChatGPT to reflect your unique voice and style can revolutionize the way you create LinkedIn content. Whether you're using prompt engineering, fine-tuning the model, or leveraging tools like TexAu Post Scraper, you can generate content that feels authentic, engaging, and in line with your brand.

Key Takeaways:

Identify Your Desired Style: Analyze your top-performing LinkedIn posts to understand your tone and structure.
Use TexAu Post Scraper: Gather high-performing posts to create a dataset that helps fine-tune your model for maximum impact.
Fine-Tune or Master Prompting: Whether you choose to fine-tune the AI or craft specific prompts, both methods will help you create personalized, high-quality LinkedIn content.
Refine for Continuous Improvement: Regularly update your datasets and refine your prompts to ensure the AI stays aligned with your evolving style.

Next Steps

AI makes creating engaging LinkedIn posts simpler than ever. Don’t get bogged down by the technical details—tools like TexAu and OpenAI’s fine-tuning features make the process smooth and easy. Start small, experiment with prompts, and refine as you go.

Here’s how to begin:

Use TexAu Post Scraper to pull your top-performing posts.
Try out OpenAI’s fine-tuning tools to personalize your content.
Experiment with prompt engineering to create the perfect posts without needing coding skills.

Take the leap today. With AI, you’ll save time, connect with your audience on a deeper level, and scale your LinkedIn strategy—all while keeping your unique voice intact.

How to Train ChatGPT (or a Custom GPT Model) to Match Your LinkedIn Content Writing Style