Automated LinkedIn Post Generation with OpenAI

As more and more people turn to LinkedIn for job searching, connecting with companies, finding customers, etc., it has become increasingly harder to write great posts on the platform because of the increase in users and their attempts to write similar content.

The old way of writing posts manually, searching for and curating information, and applying traditional algorithms, has now become less effective because of the sheer volume of all the content created by LinkedIn users.

Isn't that the case? I went through this myself while working on multiple projects such as Crypto Marketing, Arbitrage, and AI Products—I just couldn't find time to create "polished" posts! However, in order to be seen and to get the most visibility, content creation is one of the most important things you need to be doing. For businesses in the B2B space, when you lose visibility, it is almost the same as losing deals.

This is why we created an AI-generated post solution utilizing OpenAI—automatically creating LinkedIn posts using AI. Within three months of starting to use this service, the ASCN.AI team's page engagement had increased by 340%, and the team had not spent any time creating posts manually. This is not just a magical solution—it comes from utilizing the right set of prompts, integrating with real-time data, and understanding what the LinkedIn algorithm looks like in 2026.

What is AI Generated Content for LinkedIn Posts?

AI Generated Content is the term used to describe the automatic creation of text-based content on LinkedIn by utilizing a machine learning language model, or Large Language Model (LLM), like GPT-3.5 or GPT-4 from OpenAI, to create the content. The model has been trained using billions of text-based examples, and based on the input data (topic, style of writing, audience, etc.), the model is able to create text that will resonate naturally with the target audience on LinkedIn.

AI Generated Content is different than just a plain old standard template generator because AI understands the relationship between your content and the audience of that content. AI also looks at the format of successful LinkedIn posts, and it applies the "engagement triggers" that cause people to engage with your posts (questions, short paragraphs, and emotional hooks). With the help of this technology, we can create not only articles or other types of text, but a vibrant, fluid collection of articles and written materials that are unique to us.

The interface used to interact with these models is called an application program interface (API). You send in your request for content through an API to the model; this model processes your request and produces a result within a few seconds.

One of the key advantages of deploying AI in an organisation's business processes is the ability to automate the publishing of articles, and to pull in data from a CRM and use it to create personalised articles for real customers.

At ASCN.AI we have done this too. We have the ability to pull in blockchain node analytics and Web3 news. We also include market metrics. As a result, we also generate articles with specific data points about number of articles published by our competitors or number of people who viewed articles published by them. For example: "in the last 48 hours the number of Ethereum whale transactions has increased by 220 per cent." This type of article better engages a reader and receives significantly more engagement than average articles.

Benefits of writing and publishing articles within LinkedIn with the support of an AI writing platform:

1 – Speed: A human copywriter will typically take 1.5 to 2 hours to write and publish an article. An AI writing program can accomplish this task in as little as 10 seconds to 30 seconds. In testing we have found that by shifting to an automated approach to writing and publishing articles, the frequency of articles written and published has increased from 2 to 3 articles per week to every day.

This change has had a positive impact on our team's ability to continue producing content; therefore, we are no longer spending any time creating articles and only approve content generated by the system.

According to the April 2024 HubSpot Marketing Statistics report, pages that regularly post content receive an average reach of 60 per cent more than pages that do not.

2 – Stability: AI writing systems are free of distraction. As a result, an AI writing platform will not miss out on publishing 5 articles per week. The consistency and quality of articles produced with an AI platform are guaranteed. The algorithms that govern LinkedIn mercilessly punish irregularity by reducing the reach of accounts that publish infrequently (i.e., once every two weeks) by 60%.

The third difference is scalability; a single copywriter cannot manage dozens of accounts at once, but AI can. At ASCN.AI, we provide each person on the team—marketers, developers, analysts, etc.—with individualised posts based on his or her own experience level, and all without any additional workload.

Fourth is using analytics instead of guessing. AI can evaluate thousands of quality posts and find out what type of post works best and what types are most effective at generating interest. The optimal length for posts is 1200 to 1500 characters, including a question at the beginning, which can increase engagement by up to 35%, and including an emoji as the first word of the post decreases the CTR in B2B by 12% (according to LinkedIn Marketing Solutions).

Fifth is economics; the average salary of a Russian content manager ranges from 80,000 to 150,000₽, while the monthly cost of a subscription service such as that offered by ASCN.AI is 2,000 to 10,000₽. This works out to a huge cost difference (approximately 10-15 times). Additionally, with AI, a company always has someone ready to go; it never gets sick, quits, or requires training.

A human takes about 2 hours to create a post; AI takes less than 1 minute (according to Content Marketing Institute).

How Does Our Services Work via OpenAI?

Advantages of GPT-3/4 Technology

The GPT-4 transformer neural network is capable of continuing text while maintaining context. It produces coherent, logical, and structured text on any topic.

The advantages of GPT-4 over GPT-3.5 are its ability to complete more complicated multi-step tasks and perform more complex reasoning. This mode of content generation allows for posts that: commence with a query; contain three pieces of advice and call to action at the conclusion of the post.

Additionally, the GPT-4 Turbo model possesses the ability to analyze image and graphic files and blend this information into the text, thereby providing greater insight into the content.

To increase the accuracy and specificity of cryptocurrency-related content, we have also begun training the model using data specific to Web3, such as on-chain statistics, white paper documentation, and conversation forums on Telegram so the content will relate to actual statistical numbers and trends in the industry, rather than vague concepts.

Content Creation is a Four-Step Process: From Requesting a Post to Receiving a Post.

Step 1: Requesting a Post (Prompting) - Choose subject matter, style of writing, length of post, and audience, i.e. a request for "a post on the topic of crypto arbitrage geared toward those traders who have been trading for one- to three-years".

Step 2: Enriching the Data - The system connects with internal sources of information, including news, market industry metrics, and case studies, and uses this fresh data as part of the text generation.

Step 3: Generating the Post with an API - The request is submitted to OpenAI's server along with the parameters that determine creativity and length of post.

Step 4: Post completion - The generated text is analysed for structure and logic and checked for compliance with LinkedIn posting standards.

Step 5: Moderating the Post & Publishing - Finally, the Text is submitted to Telegram for final verification and upon the moderator's approval, publication occurs either by human control or by automatic submission to the LinkedIn Platform via its API.

In response to an example request for a post: "Why Do 90% of New Cryptocurrency Traders Lose Money? Provide Advice on How Not to Lose Money. Begin the Post with a Question. The Response to this request was: "Why do 90% of cryptocurrency traders lose money within the first three months of trading? They lose money by buying high due to FOMO and selling in panic at the bottom." "Trade with data, not emotions!" This message went viral—you can tell from the 420 likes and 67 comments it received—4 times greater than normal.

Integrating with OpenAI's API

To use the OpenAI API, you first need to sign up at platform.openai.com and create an account. After that, send a POST request with the appropriate headers to connect to the API using your credentials, and then process the response (JSON) to extract the text generated by the API using an automation tool such as ASCN.AI (from the ground up) without having to write any code.

The Generation Setup

Model: The best model for balance between quality and price is "gpt-4-turbo."
Temperature: 0.6-0.8 - creates variation, but doesn't produce misinformation or false statements.
Max length: 300-450 tokens (about 1000-1200 characters).
System Prompt: A prompt that sets a specific style with respect to expertise, no clichés, and encourages readers to comment or discuss.

Who Benefits From Our Services?

B2B Founders/CEO's

Your role is to maintain a high-profile presence, attract potential investors, and gather potential clients. Writing content is time-consuming, so let AI do the work for you by generating posts based off news and company data; you simply approve the posts and receive more inquiries and increased visibility.

Example: A founder of a cryptocurrency startup increased his post reach from 200-300 to approximately 8,000-12,000 over 6 months. He received 14 inquiries from venture capital firms in that time.

Marketers/Content Managers

As a marketer/content manager, your responsibilities cover multiple projects and you have an insufficient amount of time to manage everything. AI enables you to multiply your productivity by 5-10 times: you create prompts for clients, generate drafts from these prompts, rapidly proofread them, and publish them. The average time required to generate each post has been reduced to between 15-30 minutes; therefore, marketers can work on more projects while still producing high-quality work and not sacrificing quality while increasing productivity. In contrast to a traditional marketing agency in Moscow that has increased its post generation from 10 posts a week to 25 using Artificial Intelligence to help streamline the writing process from an average of 90 minutes for each post down to 20, that agency has acquired three new customers, all without having to add additional staff.

Freelancers and consultants who are developing their personal brand rely on producing consistent high-quality content to develop new leads. The process of writing the majority of your own content can be taxing on the individual. Using AI allows individuals to convert their thoughts or voice notes into written material instantaneously, thus providing them with the ability to use their time effectively by reaching out to more potential customers and leads.

For example a developer in St. Peterburg increased his reach from 100-200 up to 2000-5000 and increased the number of inquiries from customers by six times.

For those who trade or invest in cryptocurrency, LinkedIn is a platform to share their insights and has the potential to allow traders and investors to have a distinct competitive advantage, which in turn provides an opportunity for the trader or investor to attract the interest of other professionals. By developing a unique content strategy using the AI and Blockchain technology, we have produced insightful articles that discuss whale movements, tokenomics and large trades of cryptocurrency.

Examples of content created for LinkedIn using AI include:

Flash Crash - 11th October, 2024

Subject: Analysis of events in the crypto market
Prompt: Write about the BTC price drop from $68,000 to $59,000 and how that has impacted altcoins, as well as what traders should do moving forward (include price ranges).

There was $3.2 billion in liquidations within two hours... BTC fell from $68k to $59k, ETH fell from $2600 to $2200... Altcoins fell from 20-40%... A cascading liquidation of long positions occurred, and at the same time there was a significant drop in liquidity... Conclusion: Leveraging and lending in volatile markets is equivalent to gambling!

This post received over 540 reactions, 89 comments and 23 shares.

AI is saving Marketers time

How many hours per week do you spend doing repetitive or routine tasks? AI has saved users 15-20 hours in content production, automated reports, and leads scoring.

The post itself received 310 reactions and generated over 54 comments from the community.

On-chain Analytics For Investors

Are you investing in a token because "everyone is saying this will go up"? There's a 70% chance of losing 80%-90% within the first 6 months of the average altcoin. A good example is Token X, which has 68% of its total supply held by the top 10 holders and has experienced large dumps.

The post produced 47 website transitions, 12 registrations, and 3 paid subscriptions at a 15% CTR—3 times the average.

Frequently Asked Questions (FAQs)

General Questions

Is AI generation simply a rephrasing of the internet?
No. GPT-4 has the ability to create completely original text based on our closed dataset, which contains information not available in the public domain.

Will AI eventually replace a human?
No. AI can assist humans in automating repetitive tasks. Humans also have experience and strategic thinking that AI does not possess. Posts that were lightly proofread by humans see an average increase of 25% in engagement.

Will I be banned by LinkedIn for posting AI content?
No, provided that it is useful and original content. Setting the temperature parameter ensures that all AI-generated posts produced in the last eight months and 15+ accounts have been unique, with no bans issued to date.

How long does it take to set up your system?
For the Basic Plan, about 15-20 minutes. For the Professional Plan, it usually takes between one and two hours, including configuring Telegram and LinkedIn. For the Corporate Plan, it takes 3-5 days for model training and integrations to complete.

Tech Support

What should I do if I encounter an error from the AI?
Utilize a verification process by running two GPT requests together, having GPT create the errors and review them, or submitting them manually for review on Telegram.

What can I do to avoid repetition?
Raise the temperature of the output through changes to the prompt, adding personal input, and altering the request structure.

Is it possible to integrate the service with CRM or Google Sheets?
Ascn.ai provides support for nodes to connect with Google Sheets, Airtable, HubSpot, and many other services.

How do I handle exceeding the token limit?
You may wish to consider increasing the quota or optimizing your prompt input. In the interim, you will have to wait until the next monthly refresh for relief.

How can I store private information?
Private information can be stored using secrets (also known as environment secrets) or as an environment variable. Keys should never be hard-coded into your program.

Client Testimonials and Case Studies

Case Study #1: Content Marketing Company, Moscow

Challenges: 7 Clients, 1 Content Manager, Long Work Hours, Burnout, Decreased Quality of Work.
Solution: Generate AI-generated content with Custom Prompts and moderate through Telegram.
Results Over 3 Months:
Volume of Posts Increased From 10 - 25 Posts Per Week
Reduced Time per Post From 1.5 Hours to 20 Minutes
Attracted 3 Additional Clients Without Additional Staff
Increased Revenue By 40% and Profit By 35%.
Comment: "AI has greatly increased both the volume and quality of my posts, allowing me to focus more time on developing content strategies and proofreading."

Case Study #2: Founder of a DeFi Project

Challenge: Limited Time for Creating Content to Attract Funding
Solution: Weekly Insights with Minimal Proofreading
Results:
Reach Grew From 200-300 to 8,000-12,000
Received 14 Inquiries from Venture Funds
Seed Round Closed at $2.5 Million

Case Study #3: Freelance Developer

Challenge: Inconsistent and Ineffective Content
Solution: Regularly Publish AI-generated Content Based on Voice Notes
Results:
Reach Grew From 100-200 to 2,000-5,000
Received 18 Inquiries versus 2-3 Previously
Closed 600,000 Ruble Deals in Less Than a Quarter

Conclusion

Traditional content marketing has historically been a slow, costly, and very much dependent upon human factors process. In contrast, AI-generated content through OpenAI and ASCN.AI is fast, stable, and produces reliable results. You will receive limitless amounts of quality content consistently without becoming burnt out or spending hours perfecting content. Rather, you will have access to a system that generates posts instantly 24 hours a day, 7 days a week, that generates content in seconds and learns your voice and style of writing.

We have experienced the above firsthand. AI has taken away the bulk of our repetitive tasks, giving us the opportunity to devote more time to strategy and produce more results with less effort. This service is available to everyone who desires to grow on LinkedIn without being overwhelmed by the content creation process.

Sign up today for your free 14-day trial and start posting to LinkedIn! If you don't like it, you can cancel your subscription at any time before the billing date. However, if you are pleased with the results, you will save yourself 15-20 hours per month and expand your LinkedIn presence by 3-5 times. This is a proven method!