This n8n workflow automates YouTube video metadata generation using AI. It extracts video transcripts, analyzes content, and produces optimized titles, descriptions, tags, hashtags, and call-to-action elements. Additionally, the workflow integrates affiliate and promotional links to enhance overall video performance.
Utilizes an AI agent integrated with OpenAI GPT-4 to generate engaging metadata based on the provided video transcript.
Creates keyword-rich, well-structured content that boosts search engine visibility and audience engagement.
Retrieves pre-set promotional and affiliate links using a Google Docs integration.
Automatically updates video details on YouTube via the YouTube API.
Allows you to modify the AI prompt to tailor metadata for your specific niche.
Users supply the YouTube video link, transcript, and optionally, focus keywords.
The workflow converts the YouTube URL into a video ID to streamline automation.
Affiliate and course links are fetched from a designated Google Docs file.
The AI agent generates the video title, description, tags, hashtags, and call-to-action elements.
The generated metadata is structured and directly updated on YouTube.
A success message is displayed upon completion of the update process.
Deploy the workflow in n8n and ensure all integrations are properly set up.
Provide a valid YouTube video link and its corresponding transcript. Optionally, include focus keywords to further enhance metadata accuracy.
For further guidance, refer to the tutorial video on this workflow. More courses and resources are available on the SyncBricks website. For support or inquiries, contact Amjid Ali at [email protected]. You can also support this work via PayPal donations and subscribe for additional AI and automation workflows.