Automated Tweet Liking Service with AI Hashtags, Cookie Rotation, and SharePoint Integration

Automated Tweet-Liking is finding relevant tweets based on specific criteria using an algorithm/AI to like tweets on behalf of users – Automatic Tweet Engagement. This enables engagement to occur only with Tweets that are relevant to your specific product or Niche.

Automation of Tweet-Likes:

A. For example, suppose I set certain criteria, such as a specific Region or Topic of Interest. In this case, the AI would search for any new tweets that meet the criteria outlined, and if the hashtags are deemed relevant to your goals, then the AI will automatically engage with those Tweets. This happens continuously (24-hours per day) while you can focus on strategic issues (i.e., you will not be required to spend time scrolling through Twitter to find relevant tweets).

Example - In 2023, we worked with a Crypto Team to establish a presence in the English-speaking Twitter space without employing a full-time SMM Team. By utilizing automated Tweet Likes via AI hashtags such as #DeFi, #Web3, #Crypto, etc., we were able to raise engagement rates & quantity along with quality of Followers by establishing connection points between Followers of Crypto and its Community. Aided by having established filters set to require a minimum of 100 followers for authors along with an engagement rate of 2% or greater. Within three months, the team's follower count increased by approximately 900+ with 127 members joining the Telegram channel. The average cost per lead acquisition decreased from $4.20 to $0.87.

Benefits of Using AI Hashtags to Improve Reach

Organic reach is limited by Twitter's algorithm since, on average, 8-12% of a Page's Followers see any particular tweet that is posted. Hashtags provide additional ways to get in front of potential Followers who may not already follow you but are interested in topics that relate to your products or services. However, they are typically selected randomly, which has limited return on investment.

The way AI hashtags work is: we want to target specific, niche themes as opposed to broader themes—for instance using the hashtag #DeFiYield instead of simply using the #crypto hashtag.

AI can now recognise trends and will replace an old theme (tag) with a new relative one whenever it appears. This eliminates the potential issue of over-tagging, meaning that no more than three hashtags should be used in order to avoid filters.

Statistics provided by Hootsuite in 2024 show that posts with one to three relevant hashtags have a 21% higher engagement rate on average, while those with five or more hashtags will have a minimum of 17% lower engagement due to Twitter's internal filters and detection of spam.

COOKIE ROTATION TECH: WHY WE NEED IT AND HOW IT WORKS

What is Cookie Rotation?

Cookie Rotation refers to changing your session data (cookies) and the parameters associated with your Twitter account so that Twitter will not flag your liking activities as being automated, therefore preventing your account from being banned. If you choose not to implement a Cookie Rotation process, you will quickly be shadowbanned or banned entirely if you like over 50-100 tweets every hour.

How Cookie Rotation Helps Scale Up Your Auto-Liking Activities

Essentially, you will have a different cookie attached to each login session. If you used the same cookie to like 200 tweets in a row, a ban is unavoidable. Cookie Rotation changes your cookie information every 20-30 requests. Additionally, the IP address uses a pool of residential proxies (not data centre proxies). A user agent is randomly selected to produce various "browsers and devices".

During the process of liking, pauses (ranging from 8–45 seconds) are utilized to simulate "human-like" activity.

For example: A customer tried to like without rotation and received a ban within hours after having liked 500 times. The customer now utilizes rotation with 80 IP addresses, along with pauses and randomization, and has a monthly total of nearly 12,000 likes without a single ban. Cookie rotation allows customers to significantly increase their ability to scale: before, 300–400 likes per day was the maximum number of likes per account; now, by utilizing multiple accounts, customers can exceed 3,000 likes per day.

Integration with SharePoint for Corporate Management

Integration Options and Content Management

SharePoint is a Microsoft Office platform that provides centralized management of corporate data. We have integrated with SharePoint to allow marketers to upload lists of their target accounts, with all likes, comments and retweets being automatically recorded.

Simultaneously, all content is managed through a workflow in SharePoint, with legal and marketing providing approval before auto-liking takes place. Analytics generated in Power BI allow for easy tracking of results.

Corporate Environment Use Cases

An example of a use case in the fintech industry: before SharePoint integration, there was an average wait time of 2-3 days for post approval. Often, the content would have lost its relevance by that time. Since SharePoint introduced automation, there have been zero compliance issues for 8 continuous months and the entire process that took 8 hours was cut down to only 4 hours. Another example would be a holding company that manages 12 brands and allows marketers to keep the data for each brand separate from other brands. By integrating all brand data into a single dashboard for the Chief Marketing Officer (CMO), marketers save approximately 8 hours weekly by having their reports generated through one platform.

Why Choose Our AI Auto-Liking Service with Hashtags and Cookie Rotation?

What Are The Benefits for Marketers and IT Specialists?

There are many services available that automate likes on Twitter, from inexpensive bots to sophisticated enterprise class solutions. Most of these solutions are always very easy to get banned shortly after use, are hard to operate, or do not perform at all. We developed a service that can be up and running within 10 minutes, no coding required, with pre-built workflows and transparent analytic functions.

For Marketers: It is simple and fast, does not require any programming knowledge and uses AI to provide automatically generated trending hashtags with complete metrics in a single dashboard.

For IT Specialists: It includes a complete API for integration, a white label product that allows them to create their own Software as a Service (SaaS) and scales from one account to hundreds.

Security, Scalability and Convenience

Security: OAuth 2.0 Authentication is used to authenticate users on the service; passwords and tokens are stored securely in encrypted format. The service utilizes residential proxies and cookie rotation to minimize the chance of getting banned. During the past 18 months of operation, not one client account has been lost.

Scalability: Seamlessly transition from a single account to more than 50 without the need for reconfiguring all of your settings. Autoscaling is built into Kubernetes and allows for handling tens of thousands of likes on multiple plans daily.

Convenience: Our no code interface allows you to create workflows with minimal effort and our Telegram support team responds within 4 hours! You don't need any knowledge of the Twitter API or the underlying infrastructure to use our service.

FAQS

Is it Safe to use Auto Liking and Cookie Rotation? Sure! However, you must follow some simple guidelines; including, changing cookies and IP Addresses every 20-30 requests, using a random pause between 8 seconds and 45 seconds, making sure to use less than 300 likes per day for each account, and mimicking human-like behavior. Since we utilize residential proxies, we are able to passively hide our bot operations from detection. So far, out of over 500 accounts we've managed in the last 1.5 years, none have experienced a permanent ban. That said, there have been a few instances (roughly 3% of the time) where a shadow ban has occurred because we pushed that account to its limits (by exceeding 500 likes per day), but once we reduced the load, the accounts quickly recovered!

Can I Customize the AI Hashtags? Absolutely! From within the workflow settings at ASCN.AI, you can create whitelists and blacklists of preferred hashtags, set a ranking system for the Broad, Medium and Niche Hashtags, and select your language preferences, and even connect to a custom hashtag generation model via API if desired!

What are the requirements for integrating with SharePoint? SharePoint Online (Office 365), or SharePoint on an On-Premises Server from 2016 or later. You will also need the ability to register applications in Azure AD (Application Administrator role), enable API access and permissions in the tenant settings, and have access to the SharePoint REST API with Configure OAuth 2.0 — Client-credentials flow permissions to read and write to specific Site Collections/lists. Version older than 2016 has additional requirements for Auth configuration (such as ADFS).