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"Can't I just ask ChatGPT to do this?"
You could. But you'd be starting from scratch every single time.
ChatGPT is like trying to cook a complex egg dish without a recipe.
You'd need precise instructions, constant attention, and even then, the results would vary wildly.
That's ChatGPT—powerful but unstructured.
BuyerTwin is like having a breakfast machine like the one in Pee-wee's Big Adventure—push a button, and everything happens automatically, delivering perfect results every time.
That's BuyerTwin—structured, consistent, and purpose-built.
With general-purpose LLMs like ChatGPT, you're facing:
  • No structure. No strategy. No learned buyer lens. Limited memory.
    Just a blank page and a hope that your next prompt lands.
  • The burden of expertise falling entirely on you
  • The need to rewrite a mega-prompt every time you want a new insight
  • Inconsistent outputs depending on how well you phrase your request
  • The challenge of toggling between "it's magic" and "it's an overconfident parrot with a slight personality disorder"
🤬 LLMs are powerful. But they aren't strategic.
"It's like Groundhog Day, but instead of waking up to Sonny & Cher, you wake up to a blank prompt box and the gnawing fear that you've forgotten how people talk."
- Phil
Traditional methods aren't much better
If you're not using AI at all, you're likely relying on approaches that are slow, expensive, and often produce inconsistent results.
Static Personas
So dated bro... and they don't provide interactive feedback.
Market Research
Takes months and costs thousands with limited ongoing validation.
Focus Groups
Small sample sizes that may not represent your actual buyers.
A/B Testing
Requires significant ad spend before understanding what works.