YouTube Video Optimization & Cross-Platform Distribution with GPT-4o — n8n 工作流

高 复杂度🔗 Webhook43 个节点📣 Marketing作者：Țugui Dragoș

概览

This workflow automates the post-publish process for YouTube videos, combining advanced SEO optimization, cross-platform promotion, and analytics reporting. It is designed for creators, marketers, and agencies who want to maximize the reach and performance of their YouTube content with minimal manual effort.

Features

SEO Automation** Fetches video metadata and analyzes competitor and trending data. Uses AI to generate SEO-optimized titles, descriptions, and tags. Calculates an SEO score

使用的节点

Google SheetsHTTP RequestSlackFacebook Graph APIX (Formerly Twitter)YouTubeLinkedInSendGridCodeOpenAI

工作流预览

How it works
This workflow automates the full post-publish process f
When a new video is published, th
Triggers & Configuration
Starts on new video publish (webhook) and runs weekly f
Video Intake
Fetches the published video metadata (title/description
Competitor & Trend Signals
Pulls competitor signals and trending topics, then merg
Generate SEO Assets (AI)
Generates title variations, SEO description, and tags f
SEO Scoring & A/B Selection
Scores the generated SEO assets and applies A/B routing
Update YouTube Metadata
Applies the selected title, description, and tags to th
Clip & Thumbnail Processing
If the video meets the configured length threshold, run
Cross-Platform Promotion
Builds platform-specific promo context, generates copy,
Comments Monitoring & Logging
Fetches comments, drafts reply suggestions, detects neg
Storage (Video Database)
Logs the video record and SEO score to Google Sheets to
Weekly Analytics & Reporting
Collects weekly video analytics, aggregates performance
Alerts & Notifications
Sends immediate Slack alerts when a new video is publis
⚡
V
Video Published Webhook
W
Workflow Configuration
Get Video Details
P
Prepare SEO Prompts
Fetch Competitor Data
Fetch Trending Topics
Thumbnail Analysis API
Clip Extraction Service
Calculate SEO Score
A/B Title Routing Logic
Aggregate Analytics Data
Calculate Engagement Score
Competitor Comparison
C
Check Video Length
D
Detect High Engagement
C
Check Viral Potential
C
Check Platform Availabil…
A
A/B Test Variant Selection
D
Detect Negative Comments
Update Video Metadata
Fetch Video Analytics
Fetch Video Comments
P
Prepare Cross-Platform C…
F
Format Platform Posts
Post to LinkedIn
Post Twitter Thread
Upload Instagram Reel
Post to Facebook Group
Send Email Newsletter
Log to Video Database
Log Comments
Log Strategic Insights
Slack - Video Published …
Slack - Viral Potential …
⚡
W
Weekly Analytics Schedule
M
Merge SEO Data
Generate Cross-Platform …
Generate Comment Respons…
Generate Weekly Report1
S
Set Variant B Data
Generate Title Variations
Generate SEO Description
Generate Tags
43 nodes47 edges

工作原理

  1. 1

    触发器

    工作流由 webhook 触发器启动。

  2. 2

    处理

    数据流经 43 个节点, connecting code, facebookgraphapi, googlesheets。

  3. 3

    输出

    工作流完成自动化并将结果发送到配置的目标。

节点详情 (43)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
SL

Slack

slack

#3
FA

Facebook Graph API

facebookGraphApi

#4
X

X (Formerly Twitter)

twitter

#5
YO

YouTube

youTube

#6
LI

LinkedIn

linkedIn

#7
SE

SendGrid

sendGrid

#8
CO

Code

code

#9
OP

OpenAI

n8n-nodes-langchain.openAi

#10

如何导入此工作流

  1. 1点击右侧 下载 JSON 按钮保存工作流文件。
  2. 2打开你的 n8n 实例，依次点击 工作流 → 新建 → 从文件导入。
  3. 3选择下载的 youtube-video-optimization-cross-platform-distribution-with-gpt-4o 文件并点击导入。
  4. 4为每个服务节点配置 凭证（API 密钥、OAuth 等）。
  5. 5点击 测试工作流 验证一切正常，然后激活它。

或直接在 n8n → 从 JSON 导入 中粘贴：

{ "name": "YouTube Video Optimization & Cross-Platform Distribution with GPT-4o", "nodes": [...], ...}

集成

codefacebookgraphapigooglesheetshttprequestiflinkedinmergeopenaischeduletriggersendgridsetslacktwitterwebhookyoutube

获取此工作流

一键下载并导入

下载 JSON在 n8n.io 上查看
节点43
复杂度high
触发器webhook
分类Marketing

创建者

Țugui Dragoș

Țugui Dragoș

@tuguidragos

标签

codefacebookgraphapigooglesheetshttprequestiflinkedinmergeopenaischeduletriggersendgrid
⚡

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