Automated Tweet Liking Service Using Phantombuster and SharePoint AI Rotation

Automated Tweet Liking is when software automatically "likes" a tweet on behalf of an account/user without that user having to manually click a button or pre-select multiple accounts that they want to receive likes from. Essentially, this means that you can have software/programs monitor the feed of the accounts you are following for new tweets/posts and automatically liking them in real-time based on some defined set of rules (timing, frequency, type of content).

Phantombuster is one of the no-code solutions that allows you to access Twitter's API to create automated tweets/posts for you. In conjunction with SP AI Rotation, this solution adds an additional layer of intelligence to the process by creating different activity patterns to mimic the way that a human would like a post. As a result, this method reduces your chances of being banned or having your account flagged as unnatural by Twitter platforms.

Why Automating Twitter Likes Is Important

In 2026, simply building a presence on Twitter is not enough anymore; it is how quickly and efficiently you engage with other users that will determine your success on Twitter. Research has shown that liking a post made by a major influencer within the first minute will significantly increase your chance of being invited to visit their profile and interacting with them (over three times more likely). Thus, automating your efforts will save you time—manual liking can take as much as two hours each day; whereas using an automated system through Phantombuster takes about 10 minutes to set up and then it runs autonomously.

Today, Twitter shows your tweets/posts to not only your followers, but to those followers' followers as well. If you frequently engage with posts from 50 prominent figures in the cryptocurrency space, you can virtually triple your organic reach within a two-month period without spending a single penny on additional marketing.

Who Can Benefit from This Service?

Many individuals marketing crypto businesses take advantage of auto-liking as a means of integrating themselves into the communities built around certain leading voices. A steady stream of likes can provide insight into your target audience's preferences through recommendations made by their algorithm.

Businesses involved in B2B (Business to Business) marketing often use similar methods to establish themselves with cold prospects. When a company sends out a message to a prospective customer indicating that it liked the customer's post, it conveys, "We are interested in information about your company." The message is sent without being perceived as bothersome or invading the individual's privacy.

Freelancer consultants use these methods as a way of establishing their personal brands by making regular contributions of time, attention, and effort to the content posted by their prospective customers. This practice creates a familiarity with the individual's name, which increases the likelihood that the user of the platform will trust that individual.

Cryptocurrency traders and analysts use auto-liking features on projects and funds to act quickly when an opportunity arises in the market. These auto-likes serve as a public representation of their participation in the space.

Automation Tools: Phantombuster and SP AI Rotation

Phantombuster Overview: Functionality and Features

Phantombuster is a cloud-based, no-code solution that automates social media and business processes using pre-configured scenarios known as "Phantoms." Phantombuster's integration with third-party API's is effortless.

With Phantombuster, you can automate likes, parse profiles, and collect contact information to send customized messages to potential clients using phantoms targeted specifically for Twitter.

In one instance, a fintech company compiled a database of 5000 individuals who attended a crypto conference, automatically liked their tweets, and sent them customized messages. The results achieved from this process extended to an 18% conversion rate increase while also producing a six times greater efficiency than that of traditional Email campaigns.

The user interface is intuitive and easy to navigate, allowing users to set the following parameters: Who will be liked (list of people), how often you would like to like their posts and any limits you wish to put in place, and everything else is managed through the cloud so it does not slow down your device.

SP AI Rotation

The SP AI Rotation module models Like activity to make the behaviour of a user more human-like. For instance, Twitter determines the frequency and timing of your like activity to determine if an account is behaving in a manner that is suspicious; meaning they look like a Bot if they do everything in a perfectly consistent way.

With this module, the user executes Liking, with the addition of generating pauses between Likes. These pauses have no defined duration, but can be atypical for a regular user. As an example, there could be a pause after Likes = 3 minutes, then a pause for Likes = 12 minutes, or Likes = 7 minutes, followed by a longer pause before continuing.

As stated by Phantombuster's internal data, AI Rotation is designed to protect users from a potential 3x increase in the likelihood of receiving a Warning if the user uses this module to increase like activity. Also, the module considers the user's Timezone while executing this activity. For example, if the user is located in the GMT-8, Likes at 4:00 AM would look suspicious.

How to Use Phantombuster With SP AI Rotation

To get started using Phantombuster with SP AI Rotation, you must create your Phantombuster account, connect your Twitter account via OAuth, add SP AI Rotation and select the mode you want to operate: Conservative (for people worried about being banned) or Aggressive (for users who are more experienced). Users are able to flexibly adjust the length of pauses and limits for liking posts on Twitter.

As an example of appropriate frequency of Liking for a cryptocurrency project, the recommended intervals should be between Liking every 2-15 minutes (maximum 40 Likes per hour or maximum 300 Likes per day). Real Example: The auto-like feature for 30 influencers was introduced by a DeFi platform, leading to a 340% increase in followers and 7x growth in engagement in just 1 month, with no bans or warnings issued.

In terms of how it works: Tweets are retrieved from Twitter using the API; then filtered using criteria set by the service; likes are placed at random intervals; and logs of the activity are kept to allow you to review what has been done.

Different Packages Available for Setup for Selected Twitter Accounts

Overview of the Packages, What They Include and How to Set Them Up

Basic Package: This Package supports a maximum of 10 accounts, uses conservative mode, includes a 7-day trial, and comes with a manual for you to follow for the launch. The Basic Package costs RUR 12,000, with an expected setup time of 2 days.

Professional Package: This package supports up to 50 accounts, utilises moderate mode, supports keyword and hashtag filtering, provides reporting via Google Sheets and supports the customer for 1 month post-launch. Pricing for this package is RUR 35,000 with a 3-day launch timeframe.

Corporate Package: This package supports unlimited accounts, supports using multiple accounts, provides personalised support for configuring AI rotation, offers detailed reporting and analytics, and provides priority level support. Pricing for this package starts from a base rate of RUR 85,000, and final pricing will be provided after a review and assessment of your requirements.

The process of setting up for auto-liking includes three steps: the first is a briefing on the requirements, followed by technical setup, testing and delivery with video manual and reporting information.

Criteria Used for Selecting Profiles for Auto-Liking

Selecting profiles for auto-liking involves evaluating the profiles based on different criteria; these are outlined below:

1. Audience Relevance to Keywords in the Profile Bio: We will only select those profiles where we have determined through the use of Followerwonk and other partners that at least 30% of the followers of that profile have some of the keywords we are targeting in their profile bios or have included content related to the trading and investing sectors.

2. Activity Level: We look for profiles that post a minimum of three (3) tweets per week and have an engagement level greater than fifty (50) for smaller accounts and two hundred (200) for larger profiles within the category of influencers we are targeting. Twitter's Reputation Purity Program ensures that our users do not have access to scam accounts, toxic profiles or any other violators of Twitter's rules.

For example, one NFT agency liked 25 artists and collectors from the top 10 OpenSea collections over a period of 8 weeks; this led to 4 service inquiries with an average revenue of 180,000 rubles each and a conversion rate of likes to inquiries of 16%.

Another example involved a trader liking 15 venture fund tweets and 20 DeFi protocol tweets; as a result, three venture funds followed them back and invited them to the private analysts' chat.

Real-World Success Stories and Outcomes

In a recent example, a crypto media company liked 40 journalists' tweets. Over a 3-month time span, 12 journalists followed them back, five cited their work, and two invited them to be on their podcasts. Additionally, the paid traffic increased by 420%.

Another example of success is a DeFi protocol that liked the tweets from the participants in the governance. The number of active addresses increased from 340 to 1200 (or +253%) in the same period, making it one of the top three in terms of engagement.

A B2B consulting firm liked 30 CEOs with greater than $500,000 in revenue over the course of four months; this resulted in nine replies from the CEOs, and included two contracts signed for a total value of $45,000 and a return on investment (ROI) of 7 to 1 after accounting for all costs.

Examples of Technical Aspects and Security

How To Work With The Twitter API And Platform Limitations

As of 2026, Twitter offers only four tiers of API use: Free, Basic, Pro and Enterprise. To use the liking feature, you will need at least the Basic tier with limits on 10,000 tweet reads and 3000 likes per month.

Some of the limitations include: a maximum of 50 likes can be made every fifteen minutes for standard accounts; verified accounts are allowed to make up to 1,000 likes per day. If you go beyond the established limits, you will receive a temporary block, usually lasting for at least 24 hours.

The Phantombuster system operates using specific API endpoints with secure OAuth 2.0 authorization for liking and viewing liked tweets. Excessive mass identical activities, spam-like behavior, or artificially increasing the number of likes are prohibited, due to the potential for creating shadowbans and suspending your account.

Account Protection and Compliance to Twitter Guidelines

We suggest starting slow — liking about 20 to 30 tweets each week — then increasing by approximately 10% weekly thereafter. As an additional layer of security from hacking when utilising third-party services, it is required that you enable two-factor authentication (2FA).

The "3-hour rule" suggests splitting your liking activity into at least 3 separate 2 to 3-hour sessions throughout the day (with breaks of at least 4 hours in between sessions). This will help to make your Twitter account look and act like a normal user. Regularly check your metrics; if you notice a drop in your metrics by 50%, this usually indicates that your account may be shadowbanned. In these cases, it's best to halt your automation and start publishing live tweets.

A client had previously gotten a warning for liking tweets during night hours; upon switching their activity window to between 8AM and 11PM, they received no further issues after 2 weeks.

Liking Frequency and Rotation in the SP AI Rotation

You will be able to configure randomised time intervals for likes, the hourly maximum of likes, and the pattern of activity in the SP AI Rotation settings. For instance, in Conservative Mode, the suggestion is to space likes 5 to 20 minutes apart; in Moderate Mode, it is 3 to 10 minutes apart. Established accounts should not exceed 30 to 40 likes per hour; newer accounts should not exceed 15 to 25 likes per hour.

The activity pattern is typically "wave-like" with most activity occurring during peak hours of the day, and declining activity as the day progresses. The Likes you can expect to have on your account as a result of this automation will amount to about 200-300 likes every day, spread evenly across a 12-14 hour period.

An example of automated like activity assisting with brand visibility during a dramatic flash crash occurred on October 11, when competitors who cut back on marketing due to this event lost their visibility as they no longer displayed for fans.

Frequently Asked Questions About Automated Liking

How Do I Find Which Profiles To Like?

By looking at your audience's activity (i.e. who they follow), you can generate a list of users who would likely appreciate your likes. Use tools such as Followerwonk and SocialBlade to get information regarding who is following your most active followers and for what reasons. Use the keywords from users' bios (e.g., DeFi, yield, liquidity) to create a list of profiles of active users; eliminate inactive accounts and choose the top fifty accounts with the most interaction. It's also a good idea to review your competitor's lists of users they are engaging with through automated liking. Initially starting with smaller groups will give you a good idea of the effects this service can have on profile visits and followers after a seven-day period.

What Are the Risks of Automated Liking?

The primary risk of automated liking is being blocked due to excessive activity without any smart rotations of accounts. There are several examples of the above, including the potential of being shadow-banned, having to fill out CAPTCHAs, and being suspended from your account for either a temporary or permanent period of time. To lessen these risks, you should implement some type of intelligent rotation and not like more than 300 profiles a day during the first month of having an automated liking account. It is also recommended to perform the activity during business hours and mix your automated likes with organic posts. As there is no law against automated liking, it is contrary to Twitter's policies, and accounts can either be suspended, but will generally not incur any future costs.

Can I Make Changes or Stop Activity at Any Time?

Yes, you may pause the activity of the service by using the dashboard of your Phantombuster account and can also change the lists you are using to perform automated likes and how often you wish them to like. You are encouraged to discontinue any further automated liking activity immediately if you receive alerts regarding complaints or blocking and perform an analysis of your log files and determine the best way to handle the situation.

Best Practices and Recommendations

Selecting the right profiles to Like

When selecting profiles to Like, you must find the right balance between reach and relevance. There are three types of profiles to choose from:

• Influencers (100K+ followers): They will provide you with a large reach, but the likelihood of them following you back is low. Influencers should be used mainly for brand awareness (20% of Likes).
• Micro-influencers (5K–50K followers): Micro-influencers are the best choice for attaining both high activity and high engagement (60% of Likes).
• Niche experts (1K–10K followers): Niche experts will help you reach a relevant audience, and you will be in good proximity to them, but they will give you a much smaller reach (20% of Likes).

When looking at posts, consider how many times a week the person posts and how many Likes and comments they are getting per post:

• For a small account: 2%–5% engagement
• For a medium account: 1%–3% engagement

You should check to ensure the audience is real and actively engaging.

Common Setup Mistakes and Solutions

Aggressive start: Being overly aggressive with liking when you first set up your account can result in blocking. Instead of trying to like 20–30 posts a day right out of the gate, start with just 20 and increase gradually until you find a comfortable pace.

Liking Everything without Filter: This is a common spam tactic. When filtering through accounts that do not match your target market, you can sort through accounts by using keywords to help you eliminate random accounts or advertisements.

Un-following or Following back: Some lose leads by not taking the time to engage with others after the original contact has been made.

Tracking analytics: Without analyzing data and metrics, it will be very difficult for you to continue growing and improving your chances of being successful in business.

Setting up multiple accounts for Posting: Instead of creating multiple accounts under one user, create separate sub-accounts to manage and control activity for the different accounts. This will allow you to maintain a manageable workload while maximizing your ability to scale.

Tips for Optimizing Your Phantombuster/SP AI Rotation

Time your activity to align with peak times when your target audience interacts with the crypto market, which is generally 2:00 PM – 10:00 PM (UTC). Use Google Sheets to create a dynamic profile list, and make ongoing updates with the new profiles you add to your list. Using webhooks to send Telegram notifications for rapid monitoring allows the user to Group Likes with Comments but with a delay and without spamming. This will amplify the effect of your activity. Keyword Filters are updated every couple of weeks to keep track of trending topics on Twitter.

Expert opinion: Automation is changing Social Marketing

"In over 11 years in business, I've watched companies with large budgets lose to companies that have automated all of their routine operations intelligently. In 2027, a company that doesn't know what No Code means will be like a company in 2015 that didn't understand Targeting. You're handing your competition the market.

Automation with Phantombuster and AI Rotation is not about manipulating the algorithms; it's about following a system. With Phantombuster, you stay in front of the market without interruption. When people see that you have a Like, they don't care who gave it to you; they see that you're active.

In the Crypto industry, Timing is Everything. The first news creates trends. The speed of formal likes provides this speed—you can't be on Twitter 24/7. An automation strategy without a proper plan is your greatest mistake. You can't like everyone randomly. An Automation Strategy is a multiplier of a strategy, not a replacement for it."

Conclusion: Why Our Service?

Our service has three primary advantages: Safety, Results and Experience.

1) Safety: By using SP AI Rotation to automate, you have a four times lower risk of being blocked than if done manually.

2) Results: We don't only focus on likes, we also focus on real business metrics such as: follower growth, engagement, inquiries. An average Organic Reach (likes from people who follow you) increase by 180% in about 60 days.

3) Experience: Our experience in working with over 40 projects in Crypto, DeFi, NFT and B2B gives us an edge and will allow us to work with you based on your risk profile.

We also provide weekly support with monitoring and adjustments during the first month and free adaptations in case there are changes in the Twitter API within that month.

How do I get a Free Automation Audit?

We conduct a study of both your profile and your competitors, create a list of 20 priority accounts that we're going to evaluate, consider the risks, and provide you with our recommendations—even if you choose not to purchase the service. The process is as follows: fill out a form that includes your link, niche, goals, and activity level, and you'll receive a video breakdown and a PDF checklist of findings within two to three business days of submission. We recommend that you apply this to accounts older than three months with a minimum of 100 followers to ensure that your audit findings are as accurate as possible. After the audit is completed, you'll be able to order the service through our service or create your own auto-likes based on the checklist provided.