n8n Workflow: Sentiment-Based Google Review Requests w/ Groq + Gmail

Automatically request the right Google review—or quietly flag concerns using Groq + Gmail

This n8n workflow listens for completed jobs, uses Groq to assess customer sentiment, and then sends either a customer Google review request or an internal Gmail alert to you—based on what the model outputs and whether required fields are present.

What this workflow does

• Receives a POST webhook when a job is completed, including customer details and any feedback.
• Normalizes incoming fields, adds a processing timestamp, and applies your configured owner email plus your Google review link from the “Your Settings” step.
• Uses Groq to evaluate sentiment and drafts the appropriate message for the next action.
• Validates the model output: if anything is missing or invalid—or if the customer email isn’t provided—it defaults to an internal follow-up.
• REQUEST_REVIEW path: sends the customer a Gmail message with the drafted text and your Google review link.
• INTERNAL_FOLLOWUP path: emails the owner via Gmail with the concerning feedback and the reason it was flagged.
• Returns a JSON response to the webhook caller containing the final action, signal, reasoning, and processing timestamp.

Use cases

• After a field service job or appointment, automatically send a review request when sentiment is safe.
• When feedback sounds negative or risky, alert the business owner immediately instead of requesting a public review.
• Use it with a CRM/POS/booking system that can POST job completion events to an n8n webhook.

Technical details

• Webhook trigger for job-completion POST requests.
• if, set, and code nodes to normalize data, configure settings, and validate Groq output.
• Groq (chat model node) to judge sentiment and draft the message.
• Gmail OAuth credentials for both the customer email step and the owner alert step.
• sticky note elements to guide setup and workflow readability.