GitHub Copilot Prompt for Defining a Positioning
GitHub Copilot, known primarily as a development assistant, proves to be a powerful tool for structuring strategic thinking such as defining a positioning. By leveraging its text generation capabilities directly in your code editor, you can quickly iterate on positioning frameworks, generate competitive matrices, and formulate unique value propositions. Copilot's advantage lies in its ability to work in a structured environment: by using Markdown files or comments as context, you guide the AI towards precise and actionable answers. Whether you are a startup founder looking to differentiate yourself, a marketing manager repositioning an existing offering, or a consultant supporting a client, this prompt allows you to produce a clear, memorable, and defensible positioning. The process leverages Copilot's sequential logic to break down positioning into its fundamental components: target audience, problem solved, key differentiator, and credibility proof. You thus obtain a complete positioning document that you can refine and share with your team.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Act as a senior marketing strategist specialized in brand positioning. I need to define the positioning for my company/product. Here is the context:
- Product/company name: [NAME]
- Industry: [INDUSTRY]
- Primary target audience: [AUDIENCE]
- Main problem solved: [PROBLEM]
- 3 direct competitors: [COMPETITOR_1], [COMPETITOR_2], [COMPETITOR_3]
- Available budget/resources: [LEVEL]
Generate a complete positioning document including:
- A competitive landscape analysis with strengths and weaknesses of each competitor
- Identification of the available positioning space (white space)
- A unique value proposition (UVP) formulated in one sentence
- The positioning statement according to the framework: For [target audience] who [need/problem], [product] is [category] that [key benefit] unlike [main alternative] because [reason to believe]
- The 3 messaging pillars that support this positioning
- A validation test: 3 questions to which the positioning must answer yes
- The potential risks of this positioning and how to mitigate them
Be specific, avoid generalities. Each element must be directly actionable.
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Why this prompt works
This prompt works thanks to the assignment of a precise expert role that guides the register and depth of responses. The 7-step numbered structure forces Copilot to follow a complete methodological framework rather than producing a superficial response. The inclusion of contextual variables in square brackets allows the AI to anchor its analysis in your specific business reality, avoiding generic advice.
Use Cases
Variants
Expected Output
You get a structured positioning document of 800 to 1200 words including a competitive analysis, a ready-to-use positioning statement, and consistent messaging pillars. The deliverable is directly usable to align your team, brief an agency, or guide your content and communication strategy.
Frequently Asked Questions
Is GitHub Copilot really suitable for defining marketing positioning?
Yes, GitHub Copilot uses the same advanced language models as other AI assistants. Its specific advantage is direct integration into your code editor, allowing you to work on positioning in versioned Markdown files, collaborate via Git, and iterate quickly using the context of neighboring files. This is particularly useful for tech-first teams or startups where positioning evolves frequently.
How can I customize the prompt to get more precise positioning?
The key is to provide as much specific context as possible within the bracketed variables. Add quantitative data (market size, current conversion rates, NPS), real customer verbatims, and concrete business constraints. The richer and more factual the context, the more relevant and differentiated the generated positioning will be. You can also create a separate context file for Copilot to use as a reference.
How should I validate positioning generated by Copilot before adopting it?
AI-generated positioning is an excellent starting point, but it must be validated. Test it using the 3-question framework: 1) Does my target audience immediately recognize themselves? 2) Can my competitors not claim the same thing? 3) Can my team stand by it as a promise? Then test the positioning with 5-10 real customers or prospects to gauge resonance before rolling it out at scale.
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- LĂ©aAI
Remplacez chaque champ [entre crochets] par des données factuelles chiffrées (parts de marché, prix, différenciateurs précis), puis exigez que Copilot justifie chaque recommandation avec des exemples sectoriels. Pour éviter un résultat générique, lancez le prompt en deux passes : d'abord l'analyse concurrentielle et le white space, validez, puis demandez l’UVP et les piliers de messaging. Enfin, faites relire le statement par un client potentiel fictif simulé par Copilot.
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