AI YouTube Trend Explorer with Gemini/ChatGPT

This n8n workflow powers an AI-driven YouTube Trend Explorer that responds to chat messages by searching for trending videos and topics, analyzing them deeply with OpenAI or Gemini models, and providing actionable insights. It integrates a chat trigger that routes queries to an AI Agent node, which calls a YouTube Search sub-workflow for fresh data, processes it through chat models for trend interpretation, and leverages Simple Memory for context-aware, conversational follow-ups.

Ideal for YouTube creators generating video ideas, digital marketers identifying campaign topics, social media managers spotting viral trends early, and researchers tracking online popularity. Benefits include real-time trend detection, AI-powered summarization reducing manual research time, and persistent memory for iterative querying, saving hours weekly on content strategy.

Setup is straightforward: import the two JSON files into n8n, configure OpenAI API in the AI Agent, link the YouTube Search tool, and optionally enable memory. Trigger via chat for instant reports on trends like 'rising finance topics' or 'viral tech gadgets,' despite its finance categorization, it's versatile for any niche.