Abstract: To address the challenges of copyright ownership ambiguity and content authenticity verification for Artificial Intelligence Generated Content (AIGC), this paper proposes a blockchain-based traceability system for AIGC. The system employs the consortium blockchain Hyperledger Fabric as the core network framework, supports smart contract deployment, and achieves multi-node collaboration and fine-grained permission management through an efficient consensus mechanism. The system mainly comprises three functional modules: content identification and on-chain recording, dynamic traceability, and privacy preservation. Leveraging smart contracts, distributed storage, and cryptographic techniques, it enables the recording and tracking of AIGC full-lifecycle data. Furthermore, by integrating Decentralized Identity (DID) and Zero-Knowledge Proof (ZKP), the system performs content provenance verification while preserving user privacy, thereby providing technical support for AIGC copyright protection and regulatory compliance. Experimental evaluations conducted on diverse AIGC samples, including images, text, and code, demonstrate that the proposed system can effectively fulfill the traceability requirements of AIGC.