How to Create a Customer Service GPT
Hey, everyone! Bridget Bartlett here from My Vision Agency. Today, I'm thrilled to dive into a topic that's near and dear to my heart: creating a customer service GPT. This tool has revolutionized the way we handle inbound messages from platforms like Facebook, LinkedIn, and email, and I’m excited to share how you can set it up for your own business to streamline your customer service process.
Why Build a Custom Customer Service GPT?
In the digital age, we constantly receive messages from various platforms asking for support, information, or just a friendly chat. While deploying bots on each platform works to some extent, imagine having one versatile GPT that can aid you in crafting responses across the board! It’s not just about automating replies; it’s about creating a seamless, personalized interaction for every customer.
Getting Started with the Prompt Helper
First things first: to build our customer service GPT, we start with the Prompt Helper. This is an incredibly useful tool available inside our reseller program. Simply hop over to the link provided in today’s training post to access it. Once you’re there, click on "Create Prompt" and input a brief description of your desired task.
Here's what I did: I defined a prompt that functions as a customer service agent, designed to respond kindly and professionally to inquiries received via social media DMs or emails. The goal is to convey empathy and guide the user towards relevant solutions in line with our business voice and values.
Crafting Your Perfect Prompt
Once the initial prompt is set up, we refine it using the craft structure. The context provided to our GPT is that of handling customer communications—whether they are questions, complaints, or compliments—and the task is to respond with a professional, empathetic attitude that builds trust and maintains goodwill.
This prompt becomes the backbone of our GPT, defining the tone and style of communication that matches our agency’s standards.
Personalizing Your GPT
Now, let’s upload all essential materials that reflect our business policies and ethos. I included documents such as our terms and conditions, business plans, and brand playbook. This information helps the GPT tailor responses specifically to our business needs rather than generic replies.
For specific commands, I've defined that when I type "social media," the GPT should prepare itself to respond to a short social media message of fewer than 50 words. For emails, the response length can be up to 100 words, making sure to insert the sender's first name appropriately as a placeholder.
Testing and Tweaking Your GPT Responses
It's crucial to test the GPT extensively to ensure the responses it generates are natural, omitting unnecessary symbols like emojis or hyphens that may make replies seem automated. Iterating through tests allows you to fine-tune the responses until they meet your expectations.
For instance, when I receive a message on LinkedIn asking for a quick reply, my GPT crafts a succinct, friendly response that aligns with our brand’s tone, encouraging further interaction without tedious back-and-forth exchanges.
Evaluating Email Interactions
Handling emails requires precision. The GPT responds to various scenarios, including potential pitches from other businesses. Without additional prompting, it can politely decline offers while maintaining professionalism, a task most of us wish we had more time to perfect manually.
Conclusion
Developing your own customer service GPT with tailored prompts and business insights not only saves time but also ensures that your interactions are consistent and high-quality. As you refine this tool, it becomes an invaluable asset to managing your customer relationships effectively.
If you're ready to elevate your customer service capabilities, join me in open office hours or subscribe to My Vision Agency for more insights and support!
Thank you all so much for taking the time to explore this with me. Let’s go make your vision a reality!
See you in open office hours!
Bridget Bartlett
