Score LinkedIn comments and draft replies with Azure OpenAI and Google Sheets
VerifiedAI agent scores inputs and drafts replies using Azure OpenAI, logging to Sheets and emailing via Gmail.
What this workflow does
The workflow uses an AI Agent and Azure OpenAI to analyze content, assign scores, and create context-aware reply drafts before storing everything in Google Sheets.
It suits teams that need automated scoring, response drafting, and email notifications without manual data handling.
Who is this for?
Social media managers, sales development teams, and brand marketing leads at companies actively monitoring LinkedIn for mentions and engagement opportunities.
What problem it solves
Manual scanning of LinkedIn comments is slow and inconsistent, causing brands to miss high-intent leads and delay responses. Without structured scoring, teams struggle to prioritize outreach and track conversations effectively.
What it automates
Daily brand monitoring
A marketing team receives scored comments from brand-tagged posts every 15 minutes and quickly identifies prospects asking about product features.
Lead handoff to sales
High buyer-intent comments are logged in Google Sheets with draft replies, allowing SDRs to review and send personalized messages without starting from scratch.
Weekly performance review
The media team gets a Gmail summary of sentiment trends and top opportunities, helping them adjust content strategy based on real engagement data.
How the workflow works
The 5 nodes in this automation, in order.
- 1Google SheetsgoogleSheets
- 2Gmailgmail
- 3Codecode
- 4AI Agent@n8n/n8n-nodes-langchain.agent
- 5Azure OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatAzureOpenAi
Apps & integrations used
How to set up Score LinkedIn comments and draft replies with Azure OpenAI and Google Sheets
- 1Add Azure OpenAI Chat Model credentials in n8n
- 2Connect the AI Agent node and configure it to analyze comments for intent and sentiment
- 3Link Google Sheets and map columns for lead score, comment text, and draft reply
- 4Connect Gmail node to send structured reports to the media team
- 5Set the workflow trigger interval to 15 minutes
- 6Activate and test with sample LinkedIn comment data
How to customize this workflow
- →Change trigger frequency from 15 minutes to hourly or daily
- →Swap Azure OpenAI for another supported chat model node
- →Add extra Google Sheets columns for custom scoring criteria
- →Extend the Gmail report to include multiple recipients or attachments
Score LinkedIn comments and draft replies with Azure OpenAI and Google Sheets: pros & cons
Pros
- +Combines AI scoring with structured data storage
- +Reduces manual review time for social comments
- +Provides ready-to-use reply drafts
- +Sends actionable email summaries automatically
Cons
- –Depends on Azure OpenAI API access and costs
- –No native LinkedIn node listed, so data import must be handled separately
- –Scoring accuracy relies on prompt quality
Frequently asked questions
It monitors LinkedIn comments, scores them for buyer intent using Azure OpenAI, stores leads in Google Sheets, and emails draft replies via Gmail.
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