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.
Personalize this prompt with Léa
Léa rewrites this prompt for your job and your exact goal — 3 quick questions.
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?
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.
About Prompt Guide
Prompt Guide is a free library of 4800+ ready-to-use prompts for ChatGPT, Claude and other AIs, with guides to learn prompting and tools to build and optimize your own prompts.
More prompts to explore
Gemini Prompt to Create a Social Media Strategy
Social networks have become an essential lever for any business looking to increase its visibility, engage its community, and generate qualified leads.
GitHub Copilot Prompt for Analyzing an Annual Report
GitHub Copilot, initially designed as a development assistant, also proves formidable for analyzing complex documents such as annual reports.
GitHub Copilot Prompt for Analyzing Customer Reviews
GitHub Copilot, GitHub's AI assistant integrated into code editors, is not limited to code generation. It also excels at analyzing textual data like customer reviews. By leveraging its natural language processing capabilities directly in your development environment, you can automate sentiment extraction, thematic categorization, and trend identification from thousands of user feedback items. Whether you're working on a Python script, a Jupyter notebook, or a Node.js application, Copilot helps you structure your analysis pipelines without leaving your IDE. This approach is particularly valuable for product and data teams who want to turn raw reviews into actionable insights: detecting recurring pain points, evaluating satisfaction by feature, and tracking sentiment evolution over time. The prompt we offer here is designed to guide Copilot in creating a comprehensive analysis system, from data parsing to generating summary reports usable by business teams.
GitHub Copilot Prompt for Analyzing Market Trends
GitHub Copilot, initially designed as a development assistant, proves to be a powerful tool for market trend analysis when used with the right prompts. By leveraging its code generation and data analysis capabilities, you can automate data collection, processing, and visualization directly in your development environment.
GitHub Copilot Prompt for Analyzing User Feedback
Analyzing user feedback is crucial for improving a product, service, or customer experience. However, manually processing hundreds or thousands of comments—whether from reviews, support tickets, NPS forms, or social media—is a significant undertaking. GitHub Copilot, with its natural language understanding capabilities built directly into your code editor, can automate this analysis with remarkable accuracy. By crafting appropriate prompts, you can ask Copilot to categorize sentiments, extract recurring themes, identify priority friction points, and generate actionable summaries for your product teams. Whether you're working with CSV files, JSON exports, or raw data copied from a support tool, Copilot turns your IDE into a full-fledged qualitative analysis platform. This approach is especially useful for developers and product managers who want to integrate feedback analysis directly into their technical workflow, without relying on expensive third-party tools or advanced data science skills.
GitHub Copilot Prompt for Automating Customer Service
GitHub Copilot, GitHub's AI-powered code assistant, proves to be a formidable ally for automating customer service. By leveraging its capabilities...
Go further
Get new prompts every week
Join our newsletter.