Announcement • Jan 07

TNL Mediagene Introduces Natural Language Web Support to Strengthen Its Digital Media as AI-Native Content Infrastructure for the AI-Driven Web

TNL Mediagene announced that it has introduced Natural Language Web ("NLWeb") support to its digital media assets, enhancing how the Company's content interfaces with the AI ecosystem and facilitating AI monetization opportunities. NLWeb is an emerging framework introduced by Microsoft that is designed to enable websites to make content and services accessible through natural language interfaces for users and AI systems. By enabling conversational access to structured site content, NLWeb allows users and AI agents to retrieve information through plain-language queries rather than traditional link-based navigation. NLWeb is powered by standards like Schema.org and the Model Context Protocol (MCP), effectively turning websites into smart applications. The framework leverages widely adopted web standards to support structured, machine-readable interactions at scale. The introduction of NLWeb support represents an evolution in the Company's transformation from an execution-focused digital media operator into an AI-native, platform-oriented content infrastructure provider. By enabling structured, conversational, and scalable AI access to its digital media assets, the Company is positioning its content to be consumable by large language models, enterprise AI systems, and autonomous AI agents, rather than relying solely on traditional traffic-based discovery. By adopting NLWeb, the Company is enabling its digital media content to be not only consumed by people, but also directly understood, queried, and utilized by AI systems--positioning its media assets as on-demand content infrastructure for the AI era. As AI increasingly becomes the primary interface through which information is discovered and utilized, management believes that media companies capable of providing trusted, structured, and utilized by AI agents and large language models, improving interoperability across the AI ecosystem. By enabling conversational and structured access, the Company broadens potential applications for AI-driven discovery, enterprise integrations, and future usage-based or licensing models. Management views NLWeb support as a foundational capability aligned with the evolving AI-driven web, and with the Company's long-term growth and AI platform strategy.

Announcement • Dec 04

TNL Mediagene Launches Line Utility Tool iGood Price-Drop Radar in Taiwan, Building on ¥200 Million

TNL Mediagene announced the mid-December launch of its first internally developed LINE-based price-drop notification utility tool "iGood Price-Drop Radar." This tool provides users with a convenient way to receive automated price-drop notifications and better interact with the Company's popular shopping and lifestyle media brand iGood. iGood Price-Drop Radar is an app-based price drop notification system that automatically alerts users when a designated e-commerce item's price changes. Developed in-house by the Company's subsidiary iGood using the Agile methodology, it represents the Company's first self-developed LINE tool. By leveraging LINE—Taiwan's most widely used messaging app—iGood Price-Drop Radar seamlessly integrates product tracking into everyday conversations, reducing user friction and eliminating the need for manual price checks or concerns about missing limited-time discounts. The product reflects consumer behavior in the Taiwan market, where shoppers frequently monitor price changes during promotional seasons and new product release periods. No additional app installation is required; users simply send a supported e-commerce product link to the official LINE account to initiate tracking. Guided by the core concept of "helping consumers easily find the most suitable goods," iGood is a shopping and lifestyle media brand that aims to connect users with various life scenarios, providing information on new products and product reviews across different fields. Based on editorial insights, selection expertise, product comparisons and online reviews, iGood curates product recommendations to guide consumers through every stage of their shopping journey. Currently, iGood recommends over 3,000 items across more than 12 product categories. Traditionally, iGood has helped readers identify "what to buy" through editorial insights. However, in a typical media consumption journey, readers often lack tools to save items or continuously track price fluctuations. With iGood Price-Drop Radar, the brand extends beyond content into a functional utility, helping users track desired products, capture the optimal purchase timing and convert one-time readers into recurring, engaged users. The launch of iGood Price-Drop Radar builds upon the success of the Company's recent "Nape Pro" crowdfunding project launch via GIZMART. Through a collaboration with Keychron, the co-branded Nape Pro trackball mouse launched on Japan's crowdfunding platform, reaching ¥100 million within the first 12 hours of release and has surpassed ¥200 million as of December 2. This performance demonstrates the Company's ability to contribute beyond its media operations into scalable product innovation—reinforcing investor confidence in the Company's capability in product planning and promotion.

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TNL Mediagene Introduces Natural Language Web Support to Strengthen Its Digital Media as AI-Native Content Infrastructure for the AI-Driven Web

TNL Mediagene Provides Earnings Guidance for the Fiscal Year 2025

TNL Mediagene Launches Line Utility Tool iGood Price-Drop Radar in Taiwan, Building on ¥200 Million

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