We trained over 100 custom GPT bots and ran a controlled experiment with four supposedly identical models. The results? Unexpected. Revealing. And essential reading for anyone using AI to represent a brand.
Four GPTs walk into a bar. They sit down. They order drinks. They nod politely. But only one of them lands the deal.
Each bot was powered by OpenAI’s GPT-4o engine. Same model. Same training files. Same prompt. Same silicon IQ.And yet… completely different results.
This isn’t a riddle. It’s a true story based on 18 months of hands-on work training GPT bots for commercial use. And what we discovered during these experiments has real implications — especially for brands and business owners using AI to scale their voice.
At RAMMP, we train AI bots to help founders and marketers save time and sharpen messaging. Alongside Daniel Barnett (founder of All The AI’s and previously GuitarSite.com), we created a test to answer a recurring question:
Why do bots that should behave identically… act so differently?
