  Organic search comprises a large portion of the total traffic for e-commerce
companies. One approach to expand company's exposure on organic search channel
lies on creating landing pages having broader coverage on customer intentions.
In this paper, we present a transformer language model based organic channel
page management system aiming at increasing prominence of the company's overall
clicks on the channel. Our system successfully handles the creation and
deployment process of millions of new landing pages. We show and discuss the
real-world performances of state-of-the-art language representation learning
method, and reveal how we find them as the production-optimal solutions.
