Prompt GitHub Copilot for Writing Subtitles

GitHub Copilot, the AI-powered coding assistant, is not limited to code generation. It also excels at writing structured text content, especially subtitles. Whether you're working on a blog post, a web page, technical documentation, or a video, well-crafted subtitles are essential to guide the reader, improve readability, and optimize natural search engine optimization. By leveraging GitHub Copilot's capabilities directly in your code editor, you can generate impactful, hierarchical, and consistent subtitles that match the tone of your content. The major advantage lies in the seamless integration into the development workflow: no need to leave your IDE to produce professional-quality subtitles. Copilot analyzes the context of your file, understands the structure of your document, and proposes subtitles adapted to each section. This approach saves significant time while maintaining editorial consistency across all your content.

The prompt

GitHub Copilot

Generate a series of subtitles for an article about [TOPIC]. The subtitles should follow a logical hierarchy (H2, H3) and meet the following criteria:

Length: between 5 and 12 words per subtitle
Tone: [professional / conversational / technical]
Include relevant SEO keywords related to [MAIN KEYWORD]
Alternate between informative subtitles and engaging subtitles (questions, numbers, benefits)
Ensure a logical content progression: concept introduction, deep dive, practical examples, actionable conclusion
Produce at least 8 H2 subtitles with 2-3 H3 subtitles for each main section

Article context: [BRIEF CONTENT DESCRIPTION]
Target audience: [READER PROFILE]

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Why it works

This prompt works effectively because it provides Copilot with a structured framework with precise constraints (length, tone, hierarchy) that channel generation toward usable results. Including variables in square brackets allows immediate personalization while retaining the prompt's logic. The request to alternate between informative and engaging formats leverages Copilot's ability to vary stylistic patterns, producing diverse and non-repetitive subtitles.

Expected result

You will obtain a hierarchical list of H2 and H3 subtitles ready to integrate into your article, optimized for SEO and adapted to your target audience. The subtitles will cover the entire topic with a logical progression, mixing descriptive formulations, rhetorical questions, and benefit-oriented hooks. The result will be directly usable in your editor without major revisions.

Variants by level

FAQ

Can GitHub Copilot adapt subtitles to different content formats (blog, video, documentation)?

Yes, GitHub Copilot adapts to the context of the file you are working on. To get subtitles tailored to a specific format, specify it in your prompt: 'for a YouTube video', 'for technical documentation', or 'for a blog post'. Copilot will automatically adjust the tone, length, and style of the subtitles. For videos, it will propose more dynamic and short formulations; for documentation, descriptive and precise titles; for blogs, a balance between hook and information.

How to ensure that the subtitles generated by Copilot are optimized for SEO?

To maximize SEO optimization, explicitly include your target keywords in the prompt and ask Copilot to integrate them naturally into the subtitles. Also specify that you want semantic variations and 'People Also Ask' formulations. After generation, verify that each subtitle contains a primary or secondary keyword, does not exceed 70 characters for optimal display in SERPs, and accurately reflects the content of the section it introduces.

Is it possible to generate subtitles in multiple languages with GitHub Copilot?

Absolutely. GitHub Copilot supports many languages. To generate multilingual subtitles, specify the target language in your prompt, e.g., 'Generate subtitles in French and English'. You can also ask it to translate an existing set of subtitles while adapting them culturally. However, be careful to check idiomatic nuances: Copilot produces generally correct translations, but a review by a native speaker is recommended for high-value editorial content.

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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