Solicit Customer Reviews Ai Agent Workflow Blueprint

Automatically identify ideal moments to request customer reviews and generate personalized review solicitation emails.

Who this Ai Workfow Is For

Go-To-Market Pros

You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.

Ai Builders

You want inspiration for real-world ways to help people as you're building your Ai product.

Pros Focused on the Advocacy Stage

You're focused on the Advocacy stage in your daily job and want to find ways for Ai to help you do more with less.

How this Ai Workflow Helps

This workflow is designed for marketing and customer success teams who want to increase the volume of positive public reviews for their product or service. By identifying optimal timing for review requests and using AI to craft personalized messages, teams can significantly improve review collection rates while maintaining an authentic customer voice.

The process begins by detecting positive customer interactions that signal high satisfaction, such as excellent customer service experiences, successful feature implementations, high CSAT scores, or recent renewals. These moments when customers are experiencing peak satisfaction are the ideal times to request a review. Once triggered, AI generates a personalized request email that acknowledges the specific positive experience and includes direct links to relevant review platforms.

Finally, the workflow manages sending the request from the most appropriate team member (typically the person who had the recent positive interaction with the customer) and tracking review submission to send thank-you messages when appropriate. This systematic approach ensures consistent review collection while maintaining personalization, ultimately building a strong repository of social proof to influence prospective customers.

Ai Workflow Example as Inspiration for More

Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?

Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.

And test it! Learn what works and what doesn't.

Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.

1. Trigger: Positive Interaction Detection
Trigger. Initiate the review request workflow after detecting a notably positive customer interaction or satisfaction score.
2. Draft Review Request Email
LLM Call. Use GPT-4 to generate a polite review ask email with a direct review link.
Email
LLM OpenAI Anthropic Google Gemini
3. Dispatch Review Email
Tool Call. Send the review request email from the person who interacted with the customer (support agent or CSM) to keep it personal.
Email
Email Automation SendGrid Mailchimp Outreach.io
4. Send Follow-Up Thank You
Tool Call. If a review is left, optionally send a follow-up thank you email.
Email
Email Automation SendGrid Mailchimp HubSpot

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