AI Publishing on Discord and LinkedIn: How We Do It

While the cryptocurrency markets are yet again falling apart due to yet another flash crash, there is one thing that remains clear – automating publishing isn't an option. It is required for freeing up time to do more productive things outside of a 24/7 job, and for keeping the attention of an audience who never sleeps.

Discord and LinkedIn are completely different platforms; however, both require reactive engagement with your audience while maintaining stable, reliable communication with them all the time. The term "AI" is no longer just a bunch of hype – it has become a true, real-world tool available to ensure that you remain competitive.

Here is how we're using AI.

"Throughout our eight years of experience working with the crypto space, we have learned one thing: if you do not have automated communication, you will lose the market. During the flash crash that occurred in the early morning on October 11, we utilized our ASCN.AI platform and generated profits from multiple arbitrage trades within just a few hours of the event. As a result, our ASCN.AI system monitored Discord channels and the news cycle around the world 24 hours per day, 7 days per week without interruption, which would have been impossible for a human to do manually."

What Is AI Content Optimization and Why Do You Need It?

There are three key components to AI-optimized content: Natural Language Processing (NLP), Predictive Analytics, and Automated content publishing. As the crypto industry is so volatile and unpredictable, news about token launches can cause a price drop of up to 40% in a matter of hours. Therefore, anything other than an instantaneous response would be considered a disadvantage for survival in the industry.

Previously, when creating new content, you would need to sift through the available material and then write out every single word. It's now possible for AI to compile all of the various types of data (product development activity on-chain, community feedback, etc.) into one cohesive document and generate that entire document for you with no input required from you.

Behavior-Based Personalization: AI will analyze the types of posts that have been well received by the community on Discord and LinkedIn and tailor the post's format (tone, length, and visuals) to fit those same guidelines. For example, if a crypto fund prefers to see APY information represented in infographics, the AI will format it that way.

Contextual Generation: Modern language models are not just limited to providing rewritten content. They can examine real-time data influencing current market conditions (Telegram messages or tweets) and create relevant posts based on that data. Whereas standard ChatGPT models are limited by their existing capabilities, ASCN.AI leverages Web3-specific data sources like large buy/sell orders (whale transactions), decentralized exchange (DEX) movements, and fiat funding rates.

Automated Publishing Streams: AI can quickly create a series of related posts on multiple platforms using a consistently applied logic. For instance, a signal could be posted to Discord, analytics would be published to LinkedIn, and quick updates would be sent via Telegram.

A technical example of how ASCN.AI does this is that it connects to its own Ethereum and Solana node instance, where it can track transaction volume on DEXes, user activity, and current gas fees, in real time. It aggregates news across the various social media platforms using natural language processing and is able to provide summaries of information within ten seconds of being published. What you receive from ASCN.AI is not a simple rephrasing of what has already been posted but a strong analytical basis of what will happen, with recommendations, before the event occurs.

If you want an honest assessment of the business impact of using AI to optimize your content, the truth is, any organization without a content strategy that employs AI will be missing the boat about how to leverage data to understand what is most effective. Data speaks volumes.

Increased Engagement & Reach

Buffer's (2024) study on AI-optimized posts indicates that audience-optimized posts are 34% more likely to produce higher levels of engagement and reach than those that were created manually. LinkedIn, for example, facilitates engagement and awareness within the VC community. Discord, on the other hand, has a more open forum atmosphere that allows for open discussions while minimizing moderation workload.

Real-World Example from ASCN.AI

When Falcon Finance dropped 90% in two days, our AI generated $1K in arbitrage with very few prompts through monitoring Discord comments. Our AI was able to track this wave of panic and opportunity, analyse price discrepancies across exchanges, then provide appropriate strategies through a combination of spot+future/short action. This would normally have taken several weeks to accomplish without AI assistance.

Time to Create Posts

Creating a post for LinkedIn manually takes anywhere from 45 to 90 minutes to select a subject/topic, write the text, create visuals and ultimately publish the post. With AI assistance, this time can be significantly reduced to just 5 to 10 minutes — without sacrificing quality. For someone working on multiple projects, this is a huge time savings of several hundred hours each month.

Money and Quality Control

Professional services (Glassnode, Messari, Nansen, etc.) range from $100 to $1,000 per month, but ASCN.AI provides analytics, Web3 data and automation (and much more) for only $29/month. This means that with ASCN.AI, you do not need to waste time or money on several different, expensive tools.

AI never gets tired; it will not miss deadlines; it checks tokenomics and detects rug pulls (by checking team ratings and smart contracts). It will also automatically include relevant news surrounding new tokens and partnerships in the content created.

What to Know About Publishing on Discord

Content Types and Discord User Expectations

Discord encourages its users to engage and respond quickly, as well as share funny memes. Therefore, in addition to providing information about projects, Discord users also appreciate the ability to receive near real-time news, discuss projects live and interact directly with the project team.

The Following Are the Optimal Formats:

• Alpha Notes (50-150 words): A summary of the top cryptocurrencies purchased by Smart Money on the Ethereum blockchain in the last 24 hours, including information on purchases made by whales and details of their purchasing volume, number of holders of that coin, funding rates, and a simple text format with embedded images or icons.
• Real-Time On-Chain Alerts: An alert about movement of $5 million USDT by Wallet 0x7a3f (for example, to Binance). It shows you a link to Etherscan and is helpful for Day Trading.
• Visual Analytics: Infographics that display APY; tables that show Token Unlocking Dates; Funding Rate Tables along with AI Commentary.
• Automatically Answering Threads: An AI will be the answer to frequently asked questions, such as "How can I buy this token?" or "What is my pool fee?" General questions are answered by the AI, and complex issues are addressed by human operators.

The Discord user base is made up of traders and early stage investors, who are familiar with 'slang' and technical jargon. An example would be to say "the Project is GROWING", the same statement could be made as "TVL + 12% a day, Smart Money flowing in".

The Biggest Mistake is turning the Discord platform into a corporate Blog, posting long, formal Blog Posts. Ideally, you would limit post size to below 300 words, post 3-5 times per day, and maintain an informal writing style.

Configuring Discord Publications & Integration: The following is a step-by-step guide

Setting up a Discord Bot - You first need to create an Application using Discord Developer Portal and get a Bot Token, you then store the Token securely in ASCN.AI Secret Key. The next step is to setup your ASCN.AI Workflow, this could be triggered by something like an On-Chain Signal. A simple example would be when there is a large transfer of bitcoin (BTC) to a wallet. In this case, the AI created a post: "Whale Transferred 500 BTC to Exchange; Sell-off Imminent," and made an HTTP POST request using the Discord API with a JSON body.

How the Request was Configured: When the system made the request to the Discord message endpoint, it sent an HTTP POST request where the Bot Token was placed in the header of the request. The body contained a message with embedded titles and colors.

Recommendations for Configuring the Request:

• When Posting: Limit posting frequency to between 5-7 posts per day to reduce fatigue and ensure that the AI is analyzing the timing of peak activity as well.
• When Filtering Transactions: The AI should filter out all transactions that are less than a certain value (e.g., <100 ETH) to prevent spam from entering the post feed.
• When Modifying Posting Style: Each time an AI generates a post, it will review the previous 50 posts and adjust the tone of the post and the use of emojis to fit the existing style. If necessary, the AI will modify the post to be more professional in style.

How to Automate the Posting Process: During the mornings, the AI will retrieve information from the past 12 hours regarding the most active coins, as well as the corresponding funding rates for those coins, and then compile that information into a digest with a table and links for easy reference. If a person had to prepare this information manually, it would take approximately 1 hour.

Posting to LinkedIn

LinkedIn is a platform for professional employers, institutional investors, VCs, and analysts. As such, posting memes or short messages does not work on LinkedIn. Users want in-depth analysis and case studies that they can share with their partners.

Basic Posting Structure

The structure of the posts on LinkedIn should follow the rule: Thesis → Data → Conclusion. For Example: "Institutional investment in the DeFi sector increased by 27% in the last 3 months (Messari). This shows that institutional investors view DeFi as a serious alternative to traditional finance, as we begin to see funds entering into the space."

Real Case Studies: When providing examples, it is better to give specific examples than to just mention general phrases. Using data from the last two months, Falcon Finance was able to generate $1,000 in a single prompt and then provide accurate tracking of price movements between centralized exchanges (CEX) and decentralized exchanges (DEX).

The AI generated the information and displayed it in a way that was suitable for LinkedIn's preferred format of charts/tables/infographics.

All posts on LinkedIn will be very professional and clear, avoiding the use of confusing bureaucratic language, while instead using simple and direct verbs (for example, rather than using "it was discovered that it was possible to analyse..."). The posts will have a tone that reflects the business side of crypto.

Here are a few successful examples of past posts on LinkedIn:

• "Three different possibilities of the crypto industry in 2026, with recommendations for portfolios - tables included for easy reference."
• "How did an AI predict the significant unlocking of tokens? We shorted the price and preserved our capital."
• "Analysis of 200 crypto startups published March 2024 - 68% of teams come from a background in traditional finance - indicating a trend toward professionalism."

Metrics & Algorithms of LinkedIn

The algorithms on LinkedIn evaluate a post based on three primary factors: relevance, engagement and dwell time. When a new post is first published on LinkedIn, it will be displayed on the feeds of a selected number of users (5-10%) for a 60 minute period. If the level of engagement with that post exceeds 3% during that time, the reach of the post will expand.

The depth of interaction is the main metric used by LinkedIn - for example, if a user has left a detailed comment on a post, it will be valued at a higher rate than five likes on the same post.

The optimal length of a post for optimal visibility is 150-300 words in length; if the length of the article exceeds that length, it will be collapsed and have a lower rating.

Ways to Increase Visibility

A strong hook in the first sentence is essential to generating interest; AI has the ability to assess successful examples and create compelling openings for the post. For example: "90% of traders lose money on leverage; we tested 43 different strategies and identified the one that works."

The use of engaging questions as the final sentence of a post is also beneficial; for example: "What strategies do you use to operate within the DeFi ecosystem?" This will encourage interaction from users.

Using hashtags like #DeFi and #VentureCapital will increase the probability of reposts. Case Study: A post on ASCN.AI regarding flash-crash arb, received 12,000 views, 380 likes and 47 comments in 24 hours – largely due to a high-impact opening, strong visuals and an invitation to engage in conversation.

How the Service Works

The Process of Creating and Optimizing Content via AI

ASCN.AI provides more than ChatGPT. It is an AI developed specifically for use on Web3 (blockchain technology). It analyses Web3 (the blockchain) data to identify the key metrics involved in price action in real-time, tracking and analysing block activity, trade volume, funding rates and open interest.

• Data Collection: ASCN.AI connects with Ethereum and Solana nodes, scanning Telegram, Twitter and social networks, identifying trends related to trade volume and price action.
• Data Analysis and Structure: ASCN.AI identifies significant events in price movement, forming a hypothesis (i.e. rising ETH funding rate indicates the extent of a long position's strength) and compares the performance of ETH with other historical data points.
• Generating Text: ASCN.AI generates multiple text versions suitable for publication on various social media platforms, considering differences in writing style and format.
• Fact-Checking: ASCN.AI verifies the accuracy of the data by filtering source data according to the level of trust in each data provider and identifying the most reliable data providers.
• Unique Insights: ASCN.AI derives insights from data that is unique to ASCN.AI's clients and is not accessible via traditional news aggregator services.

Via Automation and Cross-Platform Distribution

The basic premise: a single workflow to distribute the entire communication via Discord, LinkedIn, Telegram, and Twitter simultaneously while tailoring the format to the specific audience of each platform.

• Unified Trigger: An event occurs (i.e., token is listed).
• AI-Created Base Content: The main message is generated.
• Platform-Specific Customization: Discord receives abbreviated operational updates, LinkedIn receives full analytical posts, and Telegram receives multiple posts that will be sent at different times.
• Publication Scheduling: Posts are scheduled for release based on the peak activity of the expected audience.

Benefits:

• Consistency of message across all platforms
• Decreased time required to prepare publication materials
• Utilization of multiple delivery methods to achieve maximum distribution to the target audience.

ASCN.AI has a proven track record. Technical integration through Discord and LinkedIn APIs is fully automated and executed via HTTP requests to allow easy integration with third-party platforms.

• Discord API: A Bot Token from the Developer Portal (supports text, embeds, and files)
• LinkedIn API: You will need to have OAuth 2.0 enabled, with user requests being limited to 100 requests per day, while page requests have a maximum of 500 requests per day.

Error Messages for Integrating Platforms into Your Solution

• 401 Unauthorized: Invalid token (e.g. expired token).
• 429 Too Many Requests: Exceeded the limit set by APIs on the frequency of requests to make (i.e. add delays between requests).
• 400 Bad Request: JSON that is incorrectly formatted; you can use an online JSON validator to verify that your JSON has been correctly formatted.

Case Studies/Sample Examples of Published Work

1. Engagement Growth Using Discord

A crypto fund with 8,000 members that averaged over 150 messages per day requested assistance with increasing their users' overall activity on the platform without overwhelming the moderators with more activity to manage as well.

Implementation of ASCN.AI bot enabled constant tracking of on-chain transactions (e.g. large transactions over 100 ETH), significant changes in funding rates (e.g. changes greater than 0.03%), and most recent news items from Telegram. The bot communicated in a style that adapted to the users by adding emojis and slang as appropriate.

Results: The number of messages posted daily grew from an average of just under 150 messages per day to just over 420 messages (+180%); dwell times of the users on the Discord platform increased by approximately 34%, and the moderator's workload was reduced by approximately 70% on routine message.

2. Growth of Reach and Response to Inquiries via LinkedIn

A data analytics company with 2,500 followers and an average of more than 600 impressions per post on LinkedIn.

Implementation of a weekly report through ASCN.AI using AI-generated weekly reports that contain data. Custom infographics and structured data ensure high visibility within LinkedIn's algorithms. The results of using custom infographics and structured data:

LinkedIn:

• Impressions increased from 600 to 2400 (+300%)
• Follower base increased by 1200 (+48%)
• Inquiries from VCs increased by 40%

FAQS - frequently asked questions

How does AI increase the efficiency of publications?

AI can measure audience activity across all channels for 90 days and determine when to publish, how to format it and what style to use. Based on this information, AI can increase engagement by 20-40%. Most publications receive a higher number of reactions during the "peak hours" of their communities.

Will I have any control over what types of content the AI produces for my publications?

Yes. There are 2 methods: automatic (publish without review and approval) and manual (going through a review process before publishing). Users also have rules for which topics/words to exclude and what type of tone to use.

Which social media platforms are supported?

You can now publish across Discord and LinkedIn using Telegram, Twitter (X), Facebook, Instagram (using the Graph API), Medium, Reddit, Slack and even Web3 platforms like Farcaster and Lens Protocol.

How is my data/account secured?

All API tokens used for publishing are stored in Secret Keys, which are encrypted vaults that can only be accessed through user accounts. All accounts are protected by OAuth 2.0, two-factor authentication, and auto-rotation every 90 days. All API requests are done anonymously and no conversation logs are ever saved.

Technical Specifications for AI Publications

Web3 Integrations: The system connects directly to its own nodes bypassing the need for intermediaries and reducing the risk of experiencing downtime. Monitoring usage on the DeFi protocol is done through the GraphQL API so that we can track total volume locked (TVL) and user activity on the protocol.

Analytic Performance and Publication Results

Discord Metrics:

• Engagement rate (2-5% → 7-10%)
• Active user share (10-15% → 20-25%)
• Retention rate increased by 18% due to content being produced by AI

LinkedIn Metrics:

• Impressions increased by 150-300% every quarter.
• Engagement rate (1-3% → 3-5%)
• Lead generation: consultations increased by 40-60%

For example, in Discord the total reactions increased from 150 to 400 weekly after 3 months of using the AI.