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AI-powered YouTube meta generator with GPT-4o, Gemini & content enrichment

Amjid AliAmjid Ali
716 views
2/3/2026
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🎯 AI-Powered Advanced YouTube Meta Generator in n8n

Automatically generate SEO-optimized YouTube Titles, Descriptions, Tags & Hashtags – enriched with blog articles, affiliate links, and product recommendations!


Who is this for?

This workflow is built for content creators, affiliate marketers, educators, and agencies who want to instantly enhance their YouTube videos with smart metadata and contextual linking β€” without wasting hours on research or copywriting.


🧠 What problem does it solve?

Writing compelling, keyword-rich video metadata is essential for discoverability, engagement, and monetization. But doing this manually for every video is time-consuming. This workflow automates:

  • Title & description writing
  • Tag & hashtag generation
  • Transcript analysis
  • Affiliate link embedding
  • Internal link recommendations (related blogs & videos)

All in one flow β€” saving hours per video.


βš™οΈ What this workflow does

  • πŸ”— Accepts a YouTube video link + optional keywords
  • 🧠 Uses Gemini or GPT-4o to analyze the transcript
  • πŸ“ Auto-generates:
    • SEO-friendly Title (under 70 chars)
    • Catchy, benefit-focused Description with timestamps
    • Tags (450+ chars)
    • Hashtags (5–10 optimized)
  • πŸ” Fetches your blog sitemap and matches relevant articles
  • πŸ“Ή Finds similar past videos using AI
  • πŸ› Embeds recommended affiliate links via Airtable
  • πŸ”§ Updates YouTube video with new metadata via API

πŸ›  Setup

  1. πŸ”Œ Connect APIs:

    • YouTube Data API (OAuth 2.0)
    • Gemini or OpenAI GPT-4o
    • Airtable (for affiliate links)
    • Kome AI for transcripts
    • WordPress sitemap (for internal links)
  2. πŸ“‹ Deploy this workflow and open the form URL to input:

    • YouTube Video Link
    • (Optional) Focus Keywords
  3. πŸ’¬ Connect your accounts and authorize required scopes

  4. 🧠 AI will handle the rest: from fetching data to publishing metadata.


✏️ How to customize this workflow

  • Replace Gemini with OpenAI / Claude / DeepSeek in the AI nodes
  • Point the sitemap node to your own blog
  • Modify the Airtable structure for affiliate links:
    • Name, Type, Platform, URL, Keywords
  • Change tag/hashtag formatting
  • Modify prompt instructions in AI nodes for brand tone

πŸ“Œ Sticky Notes Included

  • ⚑ Form: β€œEnter Video Link + Optional Keywords”
  • πŸ” Sitemap Extraction: β€œGet blog URLs for related links”
  • 🧠 AI Logic: β€œGenerate Metadata”
  • βœ… Update Metadata: β€œPublish updated title/description/tags”
  • 🧾 Completion Confirmation + Attribution to Amjid Ali

🌐 Useful Links


πŸ”— Why this workflow?

This workflow is ideal for users exploring n8n AI, working with the n8n API, building AI agents in n8n, deploying via Docker or MCP, integrating with GitHub, automating processes using n8n automation, leveraging tools like n8n chat extension, enhancing YouTube metadata with AI, and incorporating cutting-edge platforms such as Context7, Blotato, and OpenAI, whether using n8n Cloud or setting up self-hosted n8n installations.

AI-Powered YouTube Meta Generator with GPT-4o/Gemini & Content Enrichment

This n8n workflow automates the generation of YouTube video metadata (title, description, tags) and enriches content using advanced AI models like GPT-4o or Google Gemini. It's designed to streamline the YouTube content creation process by providing a structured way to input video details and receive AI-generated suggestions.

What it does

This workflow simplifies the YouTube content creation process through the following steps:

  1. Triggers on Form Submission: The workflow starts when a user submits a form, providing the core details of their YouTube video.
  2. Captures Video Details: It collects the raw video title, description, and keywords provided by the user.
  3. Parses XML Data (Optional/Legacy): An XML node is present, which could be used for parsing XML-formatted input, though it's currently unlinked in the provided JSON.
  4. Generates AI-Powered Metadata:
    • It uses an AI Agent (powered by either OpenAI's GPT-4o or Google Gemini) to generate a comprehensive YouTube title, description, and relevant tags based on the input video details.
    • It leverages a Structured Output Parser to ensure the AI's output is in a consistent, usable JSON format.
  5. Enriches Content (Optional): If the YouTube node is connected, it could potentially interact with the YouTube API for further content enrichment or publishing, though it's currently unlinked.
  6. Transforms and Aggregates Data: The workflow includes nodes for editing fields, aggregating data, and splitting out items, allowing for flexible data manipulation before the final output.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • OpenAI API Key or Google Gemini API Key: Credentials for either OpenAI (for GPT-4o) or Google Gemini to power the AI Agent and generate content.
  • YouTube Account (Optional): If you intend to connect the YouTube node for direct interaction with the YouTube API.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Locate the "AI Agent" node and configure its credentials for either OpenAI or Google Gemini. Ensure your API key is correctly set up.
  3. Access the Form: The "n8n Form Trigger" node provides a unique URL. Access this URL in your browser to submit video details and trigger the workflow.
  4. Customize:
    • Modify the "n8n Form Trigger" node to adjust the input fields as needed for your video details.
    • Adjust the prompts within the "AI Agent" node to fine-tune the AI's output for titles, descriptions, and tags.
    • (Optional) Connect the "YouTube" node and configure it with your Google OAuth credentials if you wish to integrate directly with YouTube.
    • (Optional) Utilize the "Edit Fields", "Aggregate", and "Split Out" nodes to further process or format the AI-generated metadata as per your requirements.
  5. Activate the Workflow: Once configured, activate the workflow to make it ready for use.

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