Roam partners with Mojo GoGo: Reshaping social media marketing with AI agents interacting with real users

This article is from a submission and does not represent the views of ChainCatcher, nor does it constitute any investment advice.

Marketing is always chasing the latest AI tools.

The rapidly changing market and constantly evolving platform algorithms require teams to have extremely fast response times. The traditional "slow burn" approach to marketing can no longer keep up: the long chain of research, modification, and testing not only slows down promotion efficiency but also gets directly eliminated in competition. Nowadays, AI-assisted tools amplify marketers' capabilities infinitely, allowing strategies to be adjusted in real-time and efficiency to increase exponentially. However, relying solely on simple tool automation is not enough, as users are no longer paying for one-way information bombardment.

Truly effective promotion must create an emotional resonance between the brand and the user. This is precisely the concept conveyed by Vibe Marketing: by creating an atmosphere, enhancing participation, and delivering real value, users are willing to engage voluntarily rather than passively accept. This user-driven social signal is the most favored force of dissemination by algorithms.

"Vibe Marketing" originated from a tweet by Andrej Karpathy, a member of OpenAI's founding team and former AI director at Tesla, which described a new programming experience called "Vibe Coding": "I was completely immersed in this vibe, enjoying an exponential explosion of productivity, even forgetting about coding." Later, a legendary music producer, Rick Rubin, had a picture that was edited by netizens with captions, turning it into a viral meme. Vibe Coding quickly evolved into Vibe Everything. After being borrowed by the marketing circle, this emphasis on atmosphere in "Vibe Marketing" represents a brand new marketing approach—leveraging AI's efficiency magic to quickly validate and create "resonance" with users, conveying brand value.

For project teams and users looking to build personal brands, X (Twitter) is an important battlefield for market promotion and building voice. Whether at the early stage of project launch or the initial operation of social accounts, large-scale exposure is needed through various means. Common current promotion methods include KOL promotion, advertising placement, event collaboration, etc., but these methods generally face the same issues: high costs, declining reach, rampant fake interactions, weakened user trust, and difficulty in measuring ROI.

It has been proven that only by relying on a large number of real users' genuine interactions can one effectively leverage algorithms and gain user trust. The latest analytical reports also confirm this conclusion: compared to traditional methods, promotions achieved through real user participation are not only more efficient and credible but also significantly reduce costs, making them an ideal choice for project teams and individuals in the early stages of building social media influence.

The following are key indicators to focus on for effective content promotion on the X platform:

• Account Credibility and Real Interaction: Accounts with high-quality followers, genuine historical interactions, and no signs of bot activity are more trusted by algorithms.

• Interaction Type and Quality: Comments and retweets (especially Quote Retweets) hold more value than mere likes, which can be measured by the number of likes.

• Dwell Time: User behaviors such as clicks, expansions, and dwell time on content are increasingly becoming important signals for algorithms to evaluate quality content.

• Content Relevance and Tag Matching: The matching degree of keywords, hashtags, and topic relevance also significantly affects recommendation scores.

In this environment, if you want to win? You can only use magic to combat magic—train dedicated AI Agents for real users, leveraging AI Agents to find the right rhythm and create resonance through genuine user interactions, building a communication loop that has both traffic and trust for projects and individuals.

Mojo GoGo: Real Users × AI Agents × Reward-Driven Social Media Promotion

Mojo GoGo is an intelligent platform that combines AI technology and social interaction, allowing brands and users to engage together. It uses a dual engine of AI Agents + real user interactions to help projects and individuals break through the bottleneck of social media promotion. On the same platform, brands can:

• Automatically execute repetitive tasks with AI, easily handling complex operations;

• Combine real user interactions, making every like, comment, and retweet more valuable;

• Utilize AI to analyze data, quickly iterate strategies, and grasp the rhythm of dissemination.

Twitter Tasks is a core feature of Mojo GoGo that allows brands to customize AI Agent tasks, enabling real users to operate AI Bots to complete interactions on the X platform. As a result, brands achieve high-quality dissemination at low costs, while users earn rewards by completing tasks, forming a win-win cycle.
Through Twitter Tasks, brands can:

• Customize AI interaction tasks that meet business needs

• Engage real users in social tasks such as liking, commenting, and retweeting to enhance content dissemination

• Collect AI-driven data analysis to optimize task strategies and decision-making

In simple terms, Twitter Tasks enable brands to interact with AI and real users in a dual-driven manner. This task incentive marketing (Task-to-Earn) model achieves low-cost, high-trust dissemination through real users completing tasks. Participating users can earn multiple rewards by completing tasks.

Comparison of Different Promotion Channels: Individual KOLs, KOL Agencies, and Twitter Tasks

Currently, individual KOLs and KOL promotion agencies are common choices for project teams and personal brands when promoting on the X platform. However, as mentioned earlier, these mainstream promotion methods have many issues, such as opaque ROI, interaction data filled with fake followers and bots, and difficulty in tracking actual user conversions. These problems weaken the reliability and measurability of promotion effectiveness. In contrast, Mojo GoGo's Twitter Tasks mobilize real fan groups for promotion through a Task-to-Earn incentive model, significantly enhancing dissemination efficiency and effectiveness, bringing higher ROI and user conversion rates to project teams and personal brands.

We illustrate this with a specific case. Suppose a project or individual plans to promote on the X platform, and there are three options available: individual KOL, KOL agency, and Mojo GoGo's Twitter Tasks.

• Individual KOL: Suppose a KOL has 50,000 followers on the X platform, optimistically estimating that their real reach may only be 30,000 (60% reach rate), and the actual engagement rate is usually below 2%. Additionally, individual KOLs often lack professional data tracking tools, making it difficult to provide complete data from clicks to conversions, leading to challenges in ROI assessment.

• KOL Agency: Promotion through KOL agencies may involve more bot operations, making the authenticity of interaction data (such as clicks, impressions, and engagement) harder to verify. For example, the Influencer Marketing Hub's report on influencer marketing statistics released last year pointed out that some agencies exaggerate data performance by purchasing fake interactions, undermining the credibility of ROI.

• Twitter Tasks: Mojo GoGo's Twitter Tasks adopt a community-driven promotion model, recruiting 1,000 ordinary users within the community (each with an average of 100 followers) to utilize personal AI Agents for content interactions (such as likes, retweets, comments), theoretically reaching 100,000 followers. Compared to KOLs, ordinary users' follower groups are more authentic, and their engagement rates are higher (according to Hootsuite's 2025 social media trends report, micro-influencers, with follower counts typically between 5,000 and 50,000, can achieve engagement rates of 3%-7%, far exceeding KOLs' 1%-2%. The "ordinary users" utilized by Twitter Tasks are similar to micro-influencers, making their follower interactions more likely to be genuine). Furthermore, Mojo GoGo optimizes user selection and interaction management through AI-driven automation tools, ensuring the precision of content distribution and transparency of data tracking, thereby enhancing ROI and user conversion rates.

Comparing these options reveals that Twitter Tasks not only surpass a single KOL in reach (100,000 vs. 30,000) but also offers better cost-effectiveness. The decentralized promotion model of Twitter Tasks significantly increases the organic dissemination potential of content through genuine interactions from a large number of ordinary users. More importantly, Mojo GoGo's AI tools support real-time data analysis and conversion tracking, effectively addressing the issues of data opacity and tracking difficulties in KOL promotions.

For marketers familiar with marketing, it is evident that shifting the budget from expensive KOL promotions to Twitter Tasks' ordinary user promotions can not only effectively enhance dissemination effectiveness but also establish stronger user trust through higher engagement rates and authenticity, providing brands with a more efficient and transparent promotion option.

How Users Promote Roam Through Twitter Tasks

Taking the promotion of Roam's official Twitter content as an example, users can complete genuine interactions through Mojo GoGo's task system, helping the brand spread while earning dual rewards.

The operation process is as follows:

1. One-click access to the task platform
   Directly jump to the Mojo GoGo task platform within the Roam App, and after registration, users can create their personal AI Agent (Bot). Users can customize the Bot's username and avatar, choose to have the AI generate an avatar, and link it to their personal X account.

2. Claim tasks
   On the task page, users can see the specified promotion tasks for Roam X. Each task clearly indicates the interaction type (like, comment, retweet) and reward level. Users can manually select or claim all tasks with one click. After clicking "Execute," the AI Bot automatically performs the tasks.

3. Receive rewards
   After completing the tasks, users will receive dual rewards of Roam Points and Mojo GoGo Points:

• Like → Bronze Level → 10+10 Points

• Comment → Silver Level → 30+30 Points

• Retweet → Gold Level → 50+50 Points

Multiple tasks can be stacked; for example, completing "retweet + like + comment" will earn 180 points (90 Roam Points + 90 Mojo GoGo Points).
Roam Points can be exchanged for rights within the ecosystem, such as burning points for ROAM tokens, and in the future, will unlock rare stickers and more rewards including Mojo GoGo and other partnered project tokens.

Furthermore, users can train the AI Bot to link to platforms like X, Telegram, personal websites, etc., customizing the number of tweets, topic tags, automatic replies, etc., making each interaction more valuable.

Roam × Mojo GoGo: Amplifying Every Interaction with Roam's Global Network

Mojo GoGo is the engine, while Roam is the fuel that allows this engine to race globally. As a leader in the global open wireless network, Roam has over 3 million registered users and more than 10 million WiFi nodes worldwide. Through cooperation with Mojo GoGo, it deeply integrates the real user interaction + AI Agent promotion model into its ecosystem.

When users complete social tasks, they not only help Roam expand its brand influence but also accumulate Roam Points, Mojo GoGo Points, and future token rights, among other rewards. This is just the beginning; Mojo GoGo, as one of the collaborative projects in Roam Discovery Phase 1, will continuously expand the promotion matrix, partnering with more quality projects to bring users more opportunities and incentives. Roam community users will also enjoy priority access to multiple incentives, including Mojo GoGo and other partnered project token rights, making every interaction more valuable.

With Roam's vast global network, these interactions not only continuously amplify brand voice but also create a steady stream of income for users. Roam transforms user participation into visible returns, making every user a key force in the ecosystem's growth.