International News Channel – AI Search & LLMs.txt Case Study
By analyzing vocabulary news archive, he was classified according to language, category and priorities. All contents are collected in a single llms.txt file; unique ID, summary and category tags are added to each source. File structure was optimized for LLM’s fast and accurate operation.
llms.txt file was integrated into the AI Search system. Multilingual news queries were tested; accuracy, speed and user experience were optimized. As a result, the call response time was 50% speeded and multi-lingual content accuracy increased by 35%. The system works scalable and uninterrupted.
Creating llms.txt File
All contents are collected in a single llms.txt file; unique ID, summary and category tags are added. File structure and size were optimized to ensure LLM works with high performance.
AI Search Integration and Testing
llms.txt file was integrated into the AI Search system. Multilingual news queries were tested and optimized accuracy, speed and user experience. Results (3 Months After):Search response time 50% speededMulti-lingual content accuracy increased by 35%System scalability and continuous operation
Category:
AI / News Technology
Software:
AI Search, LLM Integration u
Service:
Data Processing, Search Optimization, System Integration u
Customer:
International News Channel
Date:
