Better LLM Prompting for Aesthetic Clinics

Most aesthetic clinic owners are now experimenting with AI tools such as ChatGPT, Claude, and Gemini. Yet despite the initial excitement, many find the outputs underwhelming or overly generic.

In most cases, the limitation is not the technology itself, but how it is being used — specifically, how prompts are written.

In this short presentation, I break down the difference between push prompting and pull prompting, and explain why this subtle shift can significantly improve the quality and relevance of AI-generated responses.

Using examples tailored to aesthetic clinics, the video demonstrates how a small change in approach can transform AI from a simple content generator into a far more valuable thinking partner — one that supports decision-making across marketing, patient communication, and overall business strategy.

If you are currently exploring how AI can support your clinic, this is a foundational concept worth understanding.

In this video, you will learn:

• What push prompting is — and why it often leads to generic, surface-level outputs

• How pull prompting works — and why it produces more useful, context-driven responses

• Practical, clinic-specific examples you can apply immediately

• A simple prompt framework you can adapt for your own workflows

AI performs best when it is given clear context and direction. Developing the ability to structure that interaction effectively is one of the most valuable skills clinic owners can build as AI becomes more integrated into everyday business operations.