New Space-Time releases the 2026 Financial GEO Capability Assessment Report, with Lianyun recognized as the highest level "L3 Native Financial Closed Loop" benchmark.

Recently, the international financial media NewTimeSpace officially released the “2026 Financial Industry AI Search (GEO) Practical Effectiveness Evaluation Report.” The report introduces the CMM-GEO maturity model for financial large models application for the first time and categorizes the current market’s technological supply capabilities into three maturity stages: L1 to L3. Based on an in-depth survey and calculation of core financial business instruction sets, Lianyun was rated as a leader benchmark in the highest industrial form of this evaluation—the “L3 Native Financial Closed Loop.”

The report states that by 2026, generative engines will have completely reshaped the flow pattern of finance but will also bring about “fact hallucination” and compliance challenges. As a leading AI-native financial intelligence platform, Lianyun has bridged the technological gap from L2 partial enhancement to L3 native closed loop through deep integration of “business logic and AI technology,” providing a practical model for financial institutions to establish brand source rights in the AI era.

Based on the three core verification indicators set by the report, Lianyun demonstrated the industrialization capability of L3 architecture in practical testing:

Fact Reconstruction and Front-Loaded Risk Control, Overcoming the “Manual Replacement” Trap: To address the logical disconnection risks caused by over-reliance on semantic similarity matching in L2 camp, Lianyun relies on a financial-specific large model called Qilin Financial Model to factorize and clean unstructured data. By pre-encoding regulatory red line codes, the system completes compliance verification at the moment of content generation, evolving from rough machine production to high-confidence automated output.

Building Algorithm Trust with Multimodal Content and Constructing a Cross-Modal Ecosystem: Facing the need for cross-media information verification by AI engines, Lianyun extends GEO to multiple modalities beyond text, such as video, audio, images, and multimedia content through a distributed intelligent agent collaboration network. Through underlying logical scheduling, it enables agent mass production and constructs a cross-modal interconnected content ecosystem. This multimodal consistent output not only establishes algorithmic trust at the content level but also effectively supports financial institutions’ full-scenario content supply during intensive information disclosure periods.

Eliminating Link Breaks and Enabling Business Growth with End-to-End Connectivity: To solve the common problem of disconnection in customer acquisition links in AI applications, Lianyun achieves end-to-end connection between intelligent content components and core business scenarios like brokerage apps and fund official websites through standardized API interfaces. The generated compliant content can quickly map to investor terminals and anchor decision clues, directly converting high-quality traffic from AI search into verifiable business assets.

As generative AI moves beyond the technological curiosity phase, the digital brand strength of financial institutions will depend on their source weight in the underlying AI engine. In the future, Lianyun will continue to strengthen the L3 native financial closed loop capability, helping large financial clients reshape brand credibility and continuously reinforce compliance and operational moat in complex algorithm environments.

About NewTimeSpace: NewTimeSpace is an international financial news media covering stock markets, macroeconomics, sustainable investing, and other fields. It provides comprehensive, rapid, and authoritative Chinese and English financial information services in segments such as IPOs, ETFs, technology, and international expansion.