GitHub Copilot Prompt for Creating an Ad Script
GitHub Copilot, GitHub's AI-powered coding assistant, is not limited to code generation. Thanks to its natural language understanding capabilities, it can be creatively repurposed to produce structured and impactful ad scripts. Whether you're a copywriter, marketer, or entrepreneur, using Copilot to write an ad script allows you to benefit from a logical and reproducible structure, typical of tools designed for developers. By formulating a precise prompt in a commented file or Markdown document within your editor, you can obtain a complete ad script incorporating storytelling codes, emotional triggers, and calls to action that convert. The major advantage lies in the speed of iteration: you can generate several variants in seconds, test different angles, and refine your message without leaving your work environment. This approach is particularly effective for tech teams that also manage their marketing, or for content creators who already work in VS Code. Discover how to structure your prompts to get the most out of GitHub Copilot in creating professional ad scripts.
The prompt
Write a complete ad script for [PRODUCT/SERVICE_NAME], a solution for [SHORT_DESCRIPTION]. The target audience is [PERSONA: age, profession, main problem]. The script should last [30 seconds / 60 seconds / 2 minutes] and follow this structure: 1) A powerful hook that identifies the viewer's problem in 5 seconds, 2) Amplification of the problem with a concrete, relatable situation, 3) Presentation of the solution as a natural reveal, 4) Three key benefits with social proof or figures, 5) Clear and urgent call to action. Tone: [conversational / professional / humorous / inspiring]. Include staging cues in square brackets [shot, music, transition]. The script should evoke an emotion of [trust / urgency / aspiration] and end with a memorable CTA. Output format: two-column table (Visual | Audio/Voiceover).
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Why it works
This prompt works because it provides GitHub Copilot with a complete narrative framework with clearly identified variables in square brackets, guiding generation toward a structured and customizable result. The five-step breakdown follows the proven AIDA method (Attention, Interest, Desire, Action) in advertising, anchoring the output in validated copywriting principles. The two-column table format forces output directly usable in video production.
Expected result
Variants by level
FAQ
Is GitHub Copilot really effective for creating ad scripts or is it better to use ChatGPT?
How should I structure my file in VS Code to get the best results with Copilot?
How do I adapt the generated script for different advertising platforms?
Related prompts
How to use this prompt
- Copy the prompt with the button above.
- Paste it into ChatGPT, Claude or your favorite AI assistant.
- Replace the bracketed variables with your details, then refine the result.
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