How to Automatically Sort and Prioritize Emails with ChatGPT & Make.com
Most professionals waste 3+ hours per week manually sorting emails. This Make.com workflow uses AI to instantly categorize incoming messages by priority, automatically applying labels so you can focus on what matters most. No coding required.
The Email Overload Problem
Email has become the silent productivity killer for most professionals. The average knowledge worker spends 28% of their workweek managing email, with much of that time wasted manually sorting through messages to identify what requires immediate attention.
Business owners face an even greater challenge - important client inquiries get buried under vendor proposals, newsletters, and administrative messages. The mental energy required to constantly context-switch between different email types drains focus from high-value work.
Hidden cost: Every minute spent manually sorting emails is time taken away from revenue-generating activities. At just 30 minutes per day, that's 125 hours per year - equivalent to over 3 workweeks lost to email triage.
How the AI Email Sorting Workflow Works
The Make.com automation demonstrated in the video solves this problem by combining three powerful technologies:
- Email monitoring: Continuously watches your inbox for new messages
- AI categorization: Uses ChatGPT to analyze content and assign categories
- Automated labeling: Applies Gmail labels based on the AI's determination
At 1:15 in the video, you can see the simple three-module structure: the email trigger, ChatGPT analysis, and label application. What makes this powerful is that the categorization happens in real-time as emails arrive, before you ever see them.
Key Components of the Automation
1. Email Watch Module
The workflow begins with Make.com's email module configured to watch your inbox. This can be set to trigger on all new emails or filtered to specific senders/subjects.
2. ChatGPT Analysis
The heart of the system is the ChatGPT module configured with a prompt like: "Read this email content and categorize it as either 'query' (needs response) or 'proposal' (business offer). Only respond with the single category word."
3. Router with Filters
Make.com's router directs the workflow based on ChatGPT's output. As shown at 2:30 in the video, simple text filters route "query" responses down one path and "proposal" down another.
4. Label Application
Finally, Gmail's API applies the appropriate label, instantly organizing your inbox. The video mentions at 3:10 how this can be extended to auto-respond to certain categories.
Implementation Steps
Here's how to recreate this workflow in your Make.com account:
Step 1: Set Up Email Trigger
Add the email module and configure it to watch your connected inbox. The video shows this at 1:45 with a simple "all emails" filter.
Step 2: Configure ChatGPT
Add the ChatGPT module with a clear categorization prompt. The example in the video uses: "This is the content of an email. Categorize it as 'query' or 'proposal' based on whether it requires a response or is making an offer."
Step 3: Build the Router
Add a router with filters for each category. At 2:45, the video demonstrates setting up exact text matches for "query" and "proposal".
Step 4: Apply Labels
For each router path, add a Gmail module to apply the corresponding label. The video mentions at 3:30 that you can also configure auto-responses here.
Advanced Customizations
While the video demonstrates a basic two-category system, there are several powerful ways to extend this workflow:
Additional Categories
Expand beyond just queries and proposals. Common additions include:
- Urgent/Important
- Newsletters
- Internal Communication
- Customer Support
Auto-Responses
As mentioned at 3:45 in the video, you can configure automatic replies for certain categories. For example, instantly respond to proposals with "Thanks for your offer - we'll review it within 48 hours."
CRM Integration
Connect the workflow to your CRM to automatically create tickets for support queries or log business proposals as new opportunities.
Pro tip: Train ChatGPT on your specific email patterns by providing examples in your prompt. This improves categorization accuracy significantly.
Business Benefits
Implementing this email sorting workflow delivers measurable improvements to your business operations:
Time Savings
Eliminate 30+ minutes daily spent manually sorting emails. Over a year, this recovers 125+ hours - enough to complete an entire extra project.
Faster Response Times
Critical messages no longer get buried. The video shows at 4:10 how queries are instantly labeled for quick attention.
Reduced Mental Load
Automating the triage process preserves cognitive energy for high-value decision making rather than constant context switching.
Scalable Solution
As your email volume grows, the system scales effortlessly - unlike manual sorting which becomes increasingly burdensome.
Watch the Full Tutorial
See the complete workflow in action between 1:15-3:30 in the video, where the creator walks through each module configuration step-by-step.
Key Takeaways
Email overload doesn't have to be an inevitable part of business. With Make.com and ChatGPT, you can automate the most tedious aspect of email management - categorization and prioritization.
In summary: This workflow saves hours per week by using AI to instantly sort emails, applies labels automatically, and can be extended with auto-responses CRM integrations. The implementation requires no coding and delivers immediate productivity gains.
Frequently Asked Questions
Common questions about this topic
The workflow demonstrated in the video categorizes emails into two main types: queries (questions needing responses) and proposals (business opportunities or offers).
You can easily expand this to include additional categories like 'urgent', 'newsletter', or 'other' by modifying the ChatGPT prompt and adding more router filters in Make.com.
- Queries: Customer questions support requests
- Proposals: Vendor offers partnership opportunities
- Other: Default category for unclassified emails
No coding is required. The workflow uses Make.com's visual interface where you connect modules by dragging and dropping.
The most technical part is configuring the ChatGPT prompt to categorize emails, which involves simple natural language instructions rather than programming.
- Visual workflow builder - no code needed
- Natural language prompts for AI
- Pre-built connectors for email providers
Yes, the workflow can be extended to send automated responses. For example, you could configure it to automatically reply to proposal emails with a 'not interested' message.
The video mentions this capability at the 3:45 mark, showing how you could chain additional modules after the categorization step to handle different email replies.
- Auto-respond to common inquiries
- Send templated replies to proposals
- Forward specific categories to team members
Make.com integrates with Gmail, Outlook, and most major email providers through their API connections.
The specific example in the video uses Gmail, but the same principles apply to other providers that Make.com supports, including Office 365 and IMAP-enabled accounts.
- Gmail (demonstrated in video)
- Microsoft Outlook/Office 365
- Any IMAP-compatible email service
ChatGPT is highly accurate when given clear categorization criteria. In testing similar workflows, we've seen 85-95% accuracy rates.
You can improve accuracy by providing examples in your ChatGPT prompt and refining your categories to be mutually exclusive and clearly defined.
- 85-95% accuracy with clear prompts
- Improve with example emails in prompt
- Review miscategorizations to refine system
Absolutely. The labels are completely customizable in both the ChatGPT output and the Gmail module configuration.
You can create labels specific to your business needs like 'Client Inquiry', 'Vendor Proposal', or 'Team Communication' that match your existing email organization system.
- Fully customizable label names
- Match your existing folder structure
- Create business-specific categories
The workflow includes an 'Other' category for emails that don't fit your predefined labels.
These can be reviewed manually or you can set up additional automation rules to handle them differently, such as forwarding to a team member or flagging for your personal review.
- Default 'Other' category catches unclassified emails
- Option to forward for manual review
- Can create escalation rules for uncertain cases
GrowwStacks specializes in building custom email automation workflows tailored to your specific business needs.
We can implement this exact categorization system for your team, expand it with additional categories, integrate it with your CRM, or add automated response capabilities. Our team handles all the technical setup so you can start benefiting from automated email sorting immediately.
- Custom workflow design for your email patterns
- CRM integration with your existing systems
- Free consultation to discuss your requirements
Ready to Reclaim 125+ Hours Per Year?
Stop wasting time manually sorting emails. Let GrowwStacks implement this AI-powered sorting system tailored to your business needs.