GreenIQ: A Deep Search Platform for Comprehensive Carbon Market Analysis and Automated Report Generation

TL;DR

GreenIQ addresses the challenge of heterogeneous and rapidly evolving carbon market data by deploying a five-agent multi-agent system powered by LLMs to autonomously collect, synthesize, and report. It integrates retrieval-augmented generation, provenance-based citation verification, data visualization, and multilingual reporting to deliver high-quality, citation-rich outputs. The evaluation using 16 AI personas and a structured scoring framework demonstrates strong gains in processing efficiency, cost reduction, information coverage, and report coherence compared with traditional approaches. This modular, transparent framework enables scalable, cross-jurisdictional carbon market analysis that supports timely and informed decision-making for policy, finance, and sustainability stakeholders.

Abstract

This study introduces GreenIQ, an AI-powered deep search platform designed to revolutionise carbon market intelligence through autonomous analysis and automated report generation. Carbon markets operate across diverse regulatory landscapes, generating vast amounts of heterogeneous data from policy documents, industry reports, academic literature, and real-time trading platforms. Traditional research approaches remain labour-intensive, slow, and difficult to scale. GreenIQ addresses these limitations through a multi-agent architecture powered by Large Language Models (LLMs), integrating five specialised AI agents: a Main Researcher Agent for intelligent information retrieval, a Report Writing Agent for structured synthesis, a Final Reviewer Agent for accuracy verification, a Data Visualisation Agent for enhanced interpretability, and a Translator Agent for multilingual adaptation. The system achieves seamless integration of structured and unstructured information with AI-driven citation verification, ensuring high transparency and reliability. GreenIQ delivers a 99.2\% reduction in processing time and a 99.7\% cost reduction compared to traditional research methodologies. A novel AI persona-based evaluation framework involving 16 domain-specific AI personas highlights its superior cross-jurisdictional analytical capabilities and regulatory insight generation. GreenIQ sets new standards in AI-driven research synthesis, policy analysis, and sustainability finance by streamlining carbon market research. It offers an efficient and scalable framework for environmental and financial intelligence, enabling more accurate, timely, and cost-effective decision-making in complex regulatory landscapes

Figures (1)

• Figure 1: High-level architecture diagram of the GreenIQ system, illustrating the modular design and data flow between the five autonomous agents.