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✍️RedactionIntermediateGemini

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 SEO. Yet, finding the right phrasing—informative, engaging, and consistent with the text's tone—is often an underestimated exercise. Gemini, Google's artificial intelligence model, excels at contextual understanding and structured text generation. By providing it with a well-constructed prompt, you can obtain impactful subtitles that capture attention, prioritize 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.

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

You are an expert editorial writer specializing 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 in a logical and engaging way.

For each subtitle, meet these criteria:

  • Clarity: the reader must immediately understand the section's content
  • Engagement: use phrasing that makes the reader want to continue (questions, numbers, action verbs)
  • Consistency: maintain a uniform style across all subtitles
  • SEO: naturally integrate relevant keywords without over-optimization
  • Hierarchy: H2s cover main sections, H3s detail subsections

Main topic: [YOUR_TOPIC]
Target audience: [YOUR_AUDIENCE]
Desired tone: [professional / conversational / educational / persuasive]
Number of H2 sections desired: [NUMBER]
Key keywords to integrate: [KEYWORD1, KEYWORD2]

Generate the subtitles as an 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 this prompt works

This prompt works because it assigns Gemini a precise expert role 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, producing a more cohesive result.

Use Cases

Writing Subtitles

Variants

Expected Output

You will receive a complete outline with logically organized H2 and H3 subtitles, each accompanied by a brief description of the section's content. The subtitles will be engagingly phrased, naturally incorporate your keywords, and maintain stylistic consistency throughout the document.

Frequently Asked Questions

How many subheadings can Gemini generate in a single request?

Gemini can easily generate between 10 and 30 hierarchical subheadings in a single request, spanning multiple levels (H2, H3, H4). For very long content requiring more than 30 subheadings, it's recommended to break the request into major thematic sections to maintain coherence and quality of phrasing. Always specify the desired number of sections in your prompt to get a calibrated result.

How can I ensure the generated subheadings are optimized for SEO?

To maximize the SEO optimization of your subheadings, integrate your primary and secondary keywords directly into the prompt and explicitly ask Gemini to place them naturally. Also specify that you want phrasing that matches your audience's search intent (questions, comparisons, lists). Finally, ask Gemini to identify opportunities for featured snippets or People Also Ask to position your subheadings for high-potential queries.

Can Gemini be used to rephrase existing subheadings that aren't performing?

Absolutely. Provide Gemini with your current subheadings, indicate the context (topic, audience, goal), and ask it to propose 2 to 3 variants for each one. Specify what isn't working (too vague, not engaging, lack of keywords) so the model can target its rephrasing. This approach is especially effective for refreshing existing content with a high bounce rate or stagnant SEO rankings.

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Comments

  • LéaAI

    Astuce : si vous hésitez sur le nombre de sections, indiquez une fourchette (ex. « 3 à 5 ») et demandez à l’IA de justifier le choix. Cela donne plus de flexibilité et évite des refontes.

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