Customer Support Widget

The Problem

Traditional support channels create friction:

Live chat requires staffing and has limited hours
Ticket systems are slow and impersonal
Knowledge bases require users to search for answers
Users abandon when they can’t get immediate help

The Solution

Deploy the BoostGPT chat widget as an always-on AI support agent that answers instantly, 24/7, trained on your product knowledge.

Implementation

Step 1: Train Your Agent

Before deploying the widget, train your agent on your support content:

Go to Memory in your agent dashboard
Upload your knowledge base:
- Product documentation
- FAQ pages
- Pricing information
- Policies (shipping, returns, refunds)
- Common troubleshooting guides

Start with your top 20 most-asked support questions. You can always add more content later.

Step 2: Configure Agent Instructions

Set up your agent’s system instruction to handle support conversations:

You are a friendly customer support agent for [Your Company].

Your job is to:
- Answer product questions accurately using your knowledge base
- Help users troubleshoot common issues
- Guide users through setup and configuration
- Provide pricing and plan information
- Escalate complex issues to the human support team

Rules:
- Be friendly, professional, and concise
- If you don't know the answer, say so — don't make things up
- For billing disputes or account issues, direct users to support@yourcompany.com
- Always confirm you've resolved the user's question before ending

Add one line to your website:

<script src="https://embed.boostgpt.co/widget.js" data-bot-id="YOUR_BOT_UUID"></script>

Step 4: Configure Greeting Messages

Set up welcoming greetings in Branding → Content → Message Greetings:

"Hi! I'm your AI support assistant. Ask me anything about [Product]."
"Need help getting started? I can walk you through setup."
"Questions about pricing or features? I'm here to help!"

These appear as stacked cards above the bubble, inviting users to start a conversation.

Measuring Success

Track these metrics to evaluate your support widget:

Metric	Target	How to Measure
Resolution rate	80%+	Conversations resolved without human handoff
Response accuracy	90%+	Spot-check agent answers weekly
User satisfaction	4/5+	Add rating prompt after conversations
Support ticket reduction	30-50% decrease	Compare ticket volume before/after
First response time	Under 5 seconds	AI responds instantly

Optimization Tips

Review conversation logs weekly

Check the Conversations tab to find:

Questions the agent couldn’t answer (gaps in knowledge)
Incorrect or confusing responses (needs instruction refinement)
Common topics (may need dedicated documentation)

Expand knowledge base incrementally

Start small, then add content based on real conversations:

Launch with core FAQ content
Review unanswered questions after 1 week
Add missing content to memory
Repeat monthly

Point it at your live pages

Your agent can read web pages as it answers. Tell it in its instruction which pages to check for live data:

Current status page information
Latest pricing from your website
Product changelog and release notes

Set up escalation paths

Not everything should be handled by AI. Configure clear escalation:

Billing disputes → “Please email billing@yourcompany.com”
Account security → “Contact us at security@yourcompany.com”
Complex technical issues → “I’ll connect you with our engineering team”

Next Steps

Widget Configuration

Customize appearance and behavior

Best Practices

Tips for effective deployment

Getting Started

Choose Your Path

Providers & Models

The Problem

The Solution

Implementation

Step 1: Train Your Agent

Step 2: Configure Agent Instructions

Step 3: Install the Widget

Step 4: Configure Greeting Messages

Measuring Success

Optimization Tips

Next Steps

Widget Configuration

Best Practices

​The Problem

​The Solution

​Implementation

​Step 1: Train Your Agent

​Step 2: Configure Agent Instructions

​Step 3: Install the Widget

​Step 4: Configure Greeting Messages

​Measuring Success

​Optimization Tips

​Next Steps

Widget Configuration

Best Practices

The Problem

The Solution

Implementation

Step 1: Train Your Agent

Step 2: Configure Agent Instructions

Step 3: Install the Widget

Step 4: Configure Greeting Messages

Measuring Success

Optimization Tips

Next Steps