Since our client is active in 13 different markets, they needed thousands of pages of good quality content across these markets in different languages.

Solving a human problem with AI

We designed a solution around large language models specifically Retrieval Augmented Generation (RAG) architecture to create content based on pre-trained knowledge and real-time retrieved information to ensure content stays fresh while maintaining brand consistency.

Cheaper and Faster Content at Scale

By using AI to generate content, we were able to decrease the content production cost to 1/10th of the initial expense and increase the content output by 42% while reducing the time it took to generate it by half. What’s more, we observed a 12% uplift in organic traffic, proof that the content written by AI generates as much, if not more traffic as the content written by a human.