Gemini Prompt for Writing Subtitles
Subtitles play a crucial role in structuring written content. Whether it's a blog post, a web page, a report, or a white paper, well-written subtitles guide the reader, improve readability, and enhance natural search engine optimization. Yet, finding the right wording—informative, engaging, and consistent with the text's tone—is an often underestimated exercise. Gemini, Google's artificial intelligence model, excels at contextual understanding and generating structured text. By providing a well-constructed prompt, you can obtain impactful subtitles that capture attention, hierarchize information, and perfectly adapt to your target audience. Whether you're writing marketing, educational, or journalistic content, Gemini helps you transform a raw outline into a professional title architecture. Discover below an optimized prompt and its variants to get the most out of Gemini for writing your subtitles.
The prompt
You are an editorial writer expert in content structuring. I will provide you with the main topic of my text, its target audience, and the desired tone. Your mission is to generate a series of subtitles (H2 and H3) that structure the content logically and engagingly.
For each subtitle, respect these criteria:
- Clarity: the reader should immediately understand the section's content
- Engagement: use wording that makes them want to read on (questions, numbers, action verbs)
- Consistency: maintain a uniform style across all subtitles
- SEO: naturally integrate relevant keywords without over-optimization
- Hierarchy: H2s cover the main parts, H3s detail the subsections
Main topic: [YOUR TOPIC]
Target audience: [YOUR AUDIENCE]
Desired tone: [professional / conversational / educational / persuasive]
Desired number of H2 sections: [NUMBER]
Main keywords to integrate: [KEYWORD 1, KEYWORD 2]
Generate the subtitles as a hierarchical outline with H2 and H3, adding a brief note (1 sentence) under each subtitle indicating the planned content for that section.
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Why it works
This prompt works because it assigns a precise expert role to Gemini and defines explicit quality criteria (clarity, engagement, SEO, hierarchy), which frames the generation. The bracketed variables allow full customization while maintaining a rigorous structure. The request for descriptive notes under each subtitle forces the model to validate the logic of its own hierarchy, thus producing a more consistent result.
Expected result
Variants by level
FAQ
How many subtitles can Gemini generate in a single request?
How to ensure generated subtitles are SEO-optimized?
Can Gemini be used to rewrite existing underperforming subtitles?
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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