Block 1 - Copywriter AI Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 1.9
This workflow is provided as-is. Please review and test before using in production.
This n8n workflow automates the entire content creation process for SEO blog posts, from topic submission and AI drafting to human approval, revision, and final storage in Google Docs. It ensures h...
@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.googlesheets, n8n-nodes-base.gmail, n8n-nodes-base.switch
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Priyanka Rana.
Original n8n.io sourceThis n8n workflow automates the entire content creation process for SEO blog posts, from topic submission and AI drafting to human approval, revision, and final storage in Google Docs. It ensures high-quality, SEO-optimized content is generated efficiently while keeping a human in the loop for quality control.
To use this workflow, you need the following accounts and credentials:
To manage the content tracker. The sheet must contain columns for Topic, Reference URL, Title, Status, and Link to document.
To power the initial content drafting and subsequent revisions.
To send the content for human approval and wait for feedback.
To create and store the final approved blog posts.
The workflow operates in four main stages: Topic Submission, AI Content Creation, Human Approval & Revision Loop, and Final Publishing.
This stage captures a new blog topic and adds it to the content tracker.
On form submission (Form Trigger): The workflow is initiated when a user submits a Topic and an optional Reference link through the form.
Append row in sheet (Google Sheets): The new topic and reference link are added as a new row in your content tracker sheet.
Get Topic from Google Sheets: The workflow fetches the newly added row, including the system-generated row_number for tracking updates.
The workflow uses an expert AI agent to generate the first draft of the blog post.
Copywriter AI Agent: Acting as an expert SEO content strategist, the agent receives the topic and reference URL.
The agent improves the provided topic into an SEO-optimized title.
It writes a complete, conversational, SEO-friendly blog post (800–1200 words) using proper Markdown headings and lists.
OpenAI Chat Model (GPT-4o-mini): Powers the agent's generation.
Structured Output Parser: Ensures the output is in a JSON format with separate title and content keys.
Set Data: The AI-generated title and content are mapped to workflow variables (Topic Title, Content) for easy use in subsequent nodes.
This is the critical quality control step where a human reviews the draft and decides on the next action.
Send Content for Approval (Gmail): The generated title and content are sent via email to the approver (<your email>).
This uses a custom form that allows the user to choose Yes (Approve), No (Request Revision), or Cancel. The form also includes a Content Feedback textarea.
Approval Result (Switch): The workflow pauses until the approver submits the form, and then directs the flow based on their choice.
If "Yes" (Approved): Proceeds to the final publishing stage. The Update Topic Status on Google Sheets node is executed, setting the Status to Approved and logging the new Title.
If "No" (Revision Requested): Proceeds to the revision loop.
Copywriter Revision Agent: This agent takes the original content, the topic title, and the user's Content Feedback. It is instructed to incorporate the feedback, preserving the existing structure and tone, and outputs a revised blog post.
The flow loops back through the Set Data node and then returns to the Send Content for Approval node for a new review.
If "Cancel": Stops the workflow, and the Update Topic Status on Google Sheets node is executed.
Once approved, the content is stored in Google Docs and the tracker is updated.
Create Blog file (Google Docs): A new Google Doc is created using the approved Topic Title.
Add blog content in file (Google Docs): The final Content (in Markdown format) is inserted into the newly created document.
Update sheet with blog post link (Google Sheets): The final tracker update logs the Link to document and the Published date.
Recommend using AI humanazier and AI detector tools before approval to make the SEO score better.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Seo blog content automation with GPT-4o-mini and human approval in Google Docs |
|---|---|
| Complexity | advanced |
| Nodes | 21 |
| Categories | Content Creation, Multimodal AI |
| Author | Priyanka Rana |
| Published | 27 Nov 2025 |
Use the JSON export at /data/workflows/11285/11285.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This n8n workflow automates the entire content creation process for SEO blog posts, from topic submission and AI drafting to human approval, revision, and final storage in Google Docs. It ensures h...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.