Phoenix Group Report: Chainlink Tops Social Charts Among AI Agent Tokens With 3.3M Engagements

Chainlink is the most discussed project related to AI agents, according to a news report published by Phoenix Group in cooperation with LunarCrush. The report, dated November 11, 2025, shows the expanding role of AI-integrated blockchain ecosystems, with investor and community participation surging on platforms such as X (Twitter), Discord, and Telegram.

Chainlink Takes the Crown with Record-Breaking Engagement

Chainlink turned out to be the unchallenged leader in the list of the most active AI agent projects, according to the data provided by the Phoenix Group, Chainlink top the list with 10.1K engaged posts and 3.3 million engagements.

This increased activity is an indicator of a growing Chainlink ecosystem, most notably integrations with AI data oracles and smart contract automation tools. Analysts reckon that the dominance of Chainlink highlights its reputation of the backbone to trustworthy on-chain data, which is an essential component to fuel autonomous AI systems and decentralized agents.

Virtual and Fetch.ai Secure Second and Third Spots After Chainlink

The next two spots went to Virtual (VIRTUAL) and Fetch.ai (FET) after LINK. Virtual registered 3.4K engaged posts and 630.2K interactions and Fetch.ai registered 2.7K posts and 839.3K interactions.

Virtual has enjoyed great performance due to its increased usage in AI-based virtual ecosystems and agent customization platforms. In the meantime, long-established Fetch.ai remains committed to the same community momentum due to its machine learning-driven infrastructure and dec-centralized network of agents.

These two projects are indications of the increasing synergy between artificial intelligence and decentralized automation, which is shaping the future utility layer of Web3.

Injective and PAAL Gain Traction in Emerging AI Narratives

INJ took the fourth place with 2.6K engaged posts and 351.6K engagements indicating a new interest in its AI trading infrastructure and cross-chain processes. The community-based governance role and AI-based derivatives protocols have made Injective a powerful competitor in the emerging field of decentralized finance (DeFi).

At the same time, PAAL AI (PAAL) was the fifth one with 1.9K posts and 81.7K interactions. The chatbot system and data analytics solutions offered by PAAL have been gaining rising popularity among retail traders who use the capabilities of these tools to gain predictive capabilities and offer automated portfolio management. Despite the smaller size, the PAAL engagement growth demonstrates that impactful community momentum in the crypto industry may be created using niche AI solutions.

BLUAI, PIPPIN, and SAGA Enter the Social Spotlight

The subsequent level of projects which included BLUAI, PIPPIN, and SAGA showed promising community participation. BLUAI experienced 1K involved posts and 270.1K interactions, which highlights the growing interest in AI-based liquidity solution. 

PIPPIN ranked just behind it with 778 active posts and 80.3K interactions, most likely due to their AI-based customization and integration of NFT utility.

Having 733 engaged posts and 35.6K interactions, SAGA is slightly behind, but it still contributes to the discussions surrounding the scalability of AI infrastructure and blockchain-agnostic data networks. Its latest developer releases have generated interest in those early adopters, interested in decentralized compute systems as a way to operate autonomous systems.

CGPT and TRAC Round Out the Top Ten

To complete the list, we have CGPT and TRAC, two significant AI-based projects that have steady user interaction. The CGPT attained 683 engaged posts and 47.7K interactions, supported by its AI-created content infrastructure and educational programs provided by the community.

The tenth rank was taken by TRAC (OriginTrail) with 675 engaged posts and 247.1K interactions, which is why this lower-ranking platform stays relevant as a reliable data and AI supply chain solution. TRAC is an example of an enterprise-interest hybrid model consisting of verifiable data plus autonomous AI agents.