Launch of 'AdOLE.ai', a new plan offering AI features for job site operation agency services including Indeed
eole Inc. is launching 'AdOLE.ai', a new AI-powered plan for job site operation services. It utilizes 2.85 million proprietary data records to optimize creatives, analyze performance, and monitor quality 24/7.
📋 Article Processing Timeline
- 📰 Published: April 14, 2026 at 19:00
- 🔍 Collected: April 14, 2026 at 10:31
- 🤖 AI Analyzed: April 19, 2026 at 19:11 (128h 39m after Collected)
eole Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and CEO: Yugo Takino, hereinafter 'eole') will begin offering 'AdOLE.ai', a new plan equipped with AI functions for job site operation agency services including Indeed, starting April 2026.
This plan provides high quality in ad appeal, measure precision, and posting quality—which was difficult to achieve with conventional agency operations—by having AI analyze and utilize two data assets: delivery track record data accumulated as an operating agency, and the job database of our proprietary ATS 'jobole', totaling over 3,000 companies and approximately 2.85 million records combined.
■ Background of Service Launch
Indeed, as well as job sites like Kyujin Box and Stanby, have become established as major channels in recruitment activities, and demand in the operation agency market is expanding. On the other hand, to improve operational quality, it is necessary to deeply analyze massive delivery data, formulate measures based on competitor trends, and continuously improve ad expressions that resonate with job seekers. However, there was a limit to continuing to achieve this with high precision relying solely on human knowledge and experience.
However, by utilizing AI trained on massive amounts of data, it is possible to further elevate human operational knowledge and continuously achieve a level of operational quality that was previously difficult.
eole possesses two data assets: delivery track record data for job search engines accumulated as an operating agency, and the job database of our proprietary ATS 'jobole', totaling over 3,000 companies and approximately 2.85 million records combined. The former is a treasure trove of measure know-how on 'how to operate to get results,' and the latter is an extensive database that reflects the actual state of the job market across occupations, industries, and employment types. By combining these two with AI, we have been working on developing a new service that backs up the knowledge of operation managers with data and realizes highly accurate recruitment operations.
■ Service Details
'AdOLE.ai' is an AI support feature suite that, when combined with existing job search engine operation agency plans, multiplies the AI's analytical power with the operation manager's knowledge to realize unprecedentedly high operation quality. It consists of the following three features.
(1) Recruit Creative - Creative Optimization
An AI cross-analyzes the delivery track record data accumulated as an agency and jobole's job database to analyze the trends of 'ads that lead to applications' by occupation and industry. It is a service that presents highly appealing draft ads and improvement proposals. It also checks compliance with media review policies and employs a mechanism where proposal accuracy improves as delivery continues. By designing ads backed by two data assets in addition to human sense and experience, we will continuously raise the quality of creatives. In past implementations, we achieved a CVR improvement of 2.8x in the childcare industry (5.0x for full-time employees only) and a 33% improvement in application unit cost in the service industry.
(2) Analyst - Performance-based Analysis and Measure Proposals
Based on our operation agency performance data, an AI analyzes media reports from multiple angles and compares competitor trends with our performance to precisely identify the causes of performance fluctuations. Through the flow of 'data aggregation -> AI analysis -> cause identification -> prioritized improvement proposals,' we provide an environment where managers can determine the next move with high certainty. By combining AI's analytical accuracy with the manager's operational knowledge, we realize a cycle of continuously discovering and executing improvement opportunities that are hard to see with rules of thumb alone.
(3) Smart Keeper - Maintaining and Optimizing Posting Quality
An AI monitors 24/7 for quality degradation that can occur during job postings—such as review rejections, posting troubles, and sudden changes in performance—providing a system where managers can respond without oversight. The AI precisely checks daily delivery performance and proposes efficient budget utilization according to performance. By maintaining stable posting quality and minimizing lost opportunities (about 70% reduction track record), we have a track record of improving the number of applications for the same budget by up to about 1.5 times. *1
*1 Track record in our managed projects. (Nov 2025 - Feb 2026) Effects vary depending on period, conditions, posting content, etc., and specific job sites do not guarantee results.
■ Future Outlook
Through the provision of 'AdOLE.ai', eole aims to continue raising the quality standards of job search engine operation agency services by combining AI technology with the two data assets of operation agency track record data and jobole's job database.
This plan provides high quality in ad appeal, measure precision, and posting quality—which was difficult to achieve with conventional agency operations—by having AI analyze and utilize two data assets: delivery track record data accumulated as an operating agency, and the job database of our proprietary ATS 'jobole', totaling over 3,000 companies and approximately 2.85 million records combined.
■ Background of Service Launch
Indeed, as well as job sites like Kyujin Box and Stanby, have become established as major channels in recruitment activities, and demand in the operation agency market is expanding. On the other hand, to improve operational quality, it is necessary to deeply analyze massive delivery data, formulate measures based on competitor trends, and continuously improve ad expressions that resonate with job seekers. However, there was a limit to continuing to achieve this with high precision relying solely on human knowledge and experience.
However, by utilizing AI trained on massive amounts of data, it is possible to further elevate human operational knowledge and continuously achieve a level of operational quality that was previously difficult.
eole possesses two data assets: delivery track record data for job search engines accumulated as an operating agency, and the job database of our proprietary ATS 'jobole', totaling over 3,000 companies and approximately 2.85 million records combined. The former is a treasure trove of measure know-how on 'how to operate to get results,' and the latter is an extensive database that reflects the actual state of the job market across occupations, industries, and employment types. By combining these two with AI, we have been working on developing a new service that backs up the knowledge of operation managers with data and realizes highly accurate recruitment operations.
■ Service Details
'AdOLE.ai' is an AI support feature suite that, when combined with existing job search engine operation agency plans, multiplies the AI's analytical power with the operation manager's knowledge to realize unprecedentedly high operation quality. It consists of the following three features.
(1) Recruit Creative - Creative Optimization
An AI cross-analyzes the delivery track record data accumulated as an agency and jobole's job database to analyze the trends of 'ads that lead to applications' by occupation and industry. It is a service that presents highly appealing draft ads and improvement proposals. It also checks compliance with media review policies and employs a mechanism where proposal accuracy improves as delivery continues. By designing ads backed by two data assets in addition to human sense and experience, we will continuously raise the quality of creatives. In past implementations, we achieved a CVR improvement of 2.8x in the childcare industry (5.0x for full-time employees only) and a 33% improvement in application unit cost in the service industry.
(2) Analyst - Performance-based Analysis and Measure Proposals
Based on our operation agency performance data, an AI analyzes media reports from multiple angles and compares competitor trends with our performance to precisely identify the causes of performance fluctuations. Through the flow of 'data aggregation -> AI analysis -> cause identification -> prioritized improvement proposals,' we provide an environment where managers can determine the next move with high certainty. By combining AI's analytical accuracy with the manager's operational knowledge, we realize a cycle of continuously discovering and executing improvement opportunities that are hard to see with rules of thumb alone.
(3) Smart Keeper - Maintaining and Optimizing Posting Quality
An AI monitors 24/7 for quality degradation that can occur during job postings—such as review rejections, posting troubles, and sudden changes in performance—providing a system where managers can respond without oversight. The AI precisely checks daily delivery performance and proposes efficient budget utilization according to performance. By maintaining stable posting quality and minimizing lost opportunities (about 70% reduction track record), we have a track record of improving the number of applications for the same budget by up to about 1.5 times. *1
*1 Track record in our managed projects. (Nov 2025 - Feb 2026) Effects vary depending on period, conditions, posting content, etc., and specific job sites do not guarantee results.
■ Future Outlook
Through the provision of 'AdOLE.ai', eole aims to continue raising the quality standards of job search engine operation agency services by combining AI technology with the two data assets of operation agency track record data and jobole's job database.