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LLM-Powered Trend Analysis - From Scraped Signals to Narratives

· 14 min read
Oleg Kulyk
Co-Founder @ ScrapingAnt

LLM-Powered Trend Analysis: From Scraped Signals to Narratives

Large language models (LLMs) are changing how organizations interpret digital signals into meaningful narratives. Instead of manually interpreting search data, social chatter, and web content, analysts can now use LLMs to convert raw, noisy signals into structured insights and strategic recommendations. When combined with web scraping pipelines and tools like Google Trends, this creates a powerful stack for continuous trend detection, interpretation, and communication.