AI-Powered Keyword Classification: Saving Hundreds of Hours in Multilingual SEO

Client: LG

Keyword classification is the key to unlocking powerful insights into search performance across topics and markets. Rather than evaluating individual keywords or URLs in isolation, classification provides a comprehensive view of content category performance, enabling brands to benchmark SEO success across regions, uncover visibility gaps, and target content optimisation where it matters most.

For LG, manually classifying tens of thousands of keywords across multiple languages was a slow, labor-intensive process that made large-scale multilingual SEO analysis impractical. Enter CLAISSIFY—a groundbreaking AI-powered solution developed by Locaria to tackle this problem head-on.

CLAISSIFY combines Natural Language Processing (NLP), rule-based categorisation, OpenAI’s LLM, and human linguistic review to deliver fast, accurate, and scalable keyword classification. Instead of taking 280 hours to manually classify 60,000 keywords, CLAISSIFY reduced this to just 75 hours—a 73% efficiency gain, saving 200+ hours per project while maintaining 100% accuracy after final review.

Built as a customisable Jupyter Notebook, CLAISSIFY allows real-time adjustments to classification rules, making it an adaptable and future-proof solution for global brands. By automating SEO classification while preserving linguistic precision, CLAISSIFY transforms how businesses analyse search data—delivering scalability and measurable efficiency gains.