AiTrigger Inc. has added a search ad appeal analysis function to its marketing AX support service "AXer" and will begin offering it to companies with similar challenges from June 2026. This function was developed and verified by reviewing the process of manually analyzing high-performing keywords, headlines, and descriptions in our own ad operations work to devise the next steps. It is aimed at companies and in-house managers operating search ads, deciphering "effective appeals" from operational data and indicating the next course of action. This initiative aims to expand the practice of marketing AX, which transforms operations themselves based on each company's unique marketing challenges, to the field of ad operations. Why Transform "Appeal Analysis"? The performance of search ads varies greatly depending on which keywords are matched with which headlines and descriptions. Previously, in AiTrigger's ad operations, operators would extract data from the management screen, check high-performing keywords, headlines, and descriptions one by one, and then consider the next steps. The quality of judgment is easily influenced by the operator's experience, and the time spent on analysis cannot be ignored. Especially for products such as language and English conversation learning, where the consideration period is long and the differentiation of appeals significantly impacts results, the quality and speed of this "reading and thinking" process directly translate into operational performance. Ad operations are not just about delivery; they are a cycle of "reading results, creating the next appeal, and repeating." If the core process remains manual, the speed of improvement will plateau based on the operator's workload. AiTrigger identified this issue in its own operations and developed and verified a system for structuring analysis and the creation of next ideas. After implementing and starting operations in its own business, it has been refined as a new offering for AXer.