🤖 Custom GPTs For Validating Events, Personalizing Emails & Managing LinkedIn Content (Built By Other B2B Marketers)
Out of all the B2B marketers we talk to at Exit Five and all the tools and processes people are using with AI, CustomGPTs still seem to be one of the most practical use cases for AI right now.
So we asked Exit Five members to share their best Custom GPTs. Dozens of submissions later, here are the three that actually solve real problems instead of just playing with shiny AI toys.
Oh and they save these marketers HOURS every single week. I’m sure at least one of them can help you do the same. So keep reading and we’ll explain exactly how they work.
Is That Event Worth Going To?
If events are a major part of your marketing strategy like they are for Caroline Ang (Senior Director of Marketing & Communications at AidKit), you’re probably spending a ton of time manually researching every conference to decide: attend, sponsor, speak, or skip. One event? Easy. Fifteen events per quarter? It adds up fast.
Executive Summary: Quick bullets with fit score, recommendation, and key deadlines
Detailed Analysis: Audience breakdown, costs, themes, competitors, logistics
Machine-Readable Output: JSON data for dashboards and future analysis
Notion-Ready Export: Clean tab-separated format for their event tracking database
The GPT knows AidKit's ICP, budget constraints, and strategic priorities. Instead of spending 3 hours researching each event, Caroline gets a complete analysis in 5 minutes.
Personalized Welcome Emails That Doubled Click Rates
AI has made personalization so much easier. Brendon Boren at ClickBank built a system that turns generic welcome emails into personalized business cases.
The setup: Make.com + ChatGPT + HubSpot integration that takes first-party data from lead forms and creates custom email copy.
Instead of: "Thanks for signing up! Here's what we do..."
Now: "You told us you want to '[AI-generated summary of their specific goal]' with our tool. And we can help you do it. Click here to get started."
Results: Email clicks doubled. Sales are following.
The key insight: Use the data prospects already gave you instead of treating every lead the same. AI makes personalization scalable.
LinkedIn Posts That Actually Sound Like You
So much of LinkedIn right now is AI slop. But Valtteri Taube from OstraconAI cracked the code on AI content that actually sounds like you sat down to write it.
His system: Claude Project + Airtable MCP + Make.com automation
How it works: Claude analyzes his last 100 LinkedIn posts, identifies patterns in his voice, then creates new content that matches his tone. The posts get written directly to his content calendar and published automatically.
The results: 80–90% time savings while maintaining lead generation performance.
Why this matters: Most AI-generated social content is obviously AI-generated. Valtteri's system studies his actual writing patterns first, then mimics them. The posts still generate leads because they sound like him, not like a robot.
What Actually Makes These Work
Looking at all three Custom GPTs, there's a pattern:
They solve specific, measurable problems. Not "help me be creative" or "make me smarter." They tackle concrete tasks that eat up real time.
They use first-party data. Conference research, lead form responses, previous social posts. They work with information you already have.
They produce actionable outputs. Decision frameworks, personalized emails, content calendars. Not just insights or ideas.
They integrate with existing workflows. Notion databases, HubSpot sequences, social media schedulers. They fit into how you already work.
The Custom GPT Opportunity Most Marketers Miss
Everyone's building GPTs to help with creative tasks. "Help me brainstorm campaign ideas." "Write better ad copy." "Generate blog topics."
But the real opportunity is operational. What manual, repetitive work do you do that requires some thinking but follows predictable patterns?
Conference research. Lead qualification. Content analysis. Competitive intelligence. Customer feedback categorization.
These are perfect Custom GPT use cases because they combine pattern recognition (what AI is good at) with domain knowledge (what you bring to the table).
Your Next 30 Minutes
Pick one repetitive task you do weekly that takes 2+ hours. Something where you:
- Gather information from multiple sources
- Apply consistent criteria to make decisions
- Create standardized outputs
Build a Custom GPT that automates the information gathering and applies your decision framework.
Don't aim for perfect. Aim for "saves me 90 minutes per week."
The marketers winning with AI aren't the ones with the fanciest prompts. They're the ones building systems that handle the boring stuff so they can focus on strategy.
What's your biggest time sink that follows a predictable pattern? That's your next Custom GPT.
‑Dave
P.S. One of my favorite Custom GPTs we’ve built is the Exit Five Post Coach. It takes our top-performing community posts, reverse‑engineers what makes them work, then walks new members through prompts to help them write a high‑quality post that actually gets replies. We built it to fix onboarding and help members get value ASAP.
So tell me. What’s the best Custom GPT you’ve built? Or what’re you gonna build next?
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