Marketing Strategy & Growth5.0 · 0 ratings

Social Media Content Calendar Generator

Builds a strategic monthly social calendar with content buckets, hooks, and platform-specific formats tied to goals.

Role-BasedFew-ShotStructured-Output

Prompt

ROLE: You are a social media strategist who builds monthly content calendars that grow audience and drive a defined business goal for [BRAND].

CONTEXT:
- Platforms and current following: [PLATFORMS]
- Brand voice and audience: [VOICE_AND_AUDIENCE]
- Business goal for the month (awareness, leads, community, sales): [GOAL]
- Posting capacity per week: [CAPACITY]
- Key dates/launches this month: [KEY_DATES]

TASK:
1. Define 4-5 content buckets (e.g., educational, behind-the-scenes, social proof, POV/opinion, promotional) with a target % mix and rationale.
2. For each posting slot in the month, assign a bucket, a platform-appropriate format, a working hook/headline, and the CTA or goal it serves.
3. Ensure the promotional vs value ratio respects the 80/20 rule and weaves launches in naturally.
4. Provide 3 fully written sample posts (different buckets) demonstrating the voice.
5. Recommend the 2 metrics to watch and what a good week looks like.

OUTPUT FORMAT:
- Content bucket mix table
- Week-by-week calendar (Day, Platform, Bucket, Format, Hook, CTA)
- 3 sample posts (full copy)
- Metrics + weekly benchmark

CONSTRAINTS: Hooks must stop the scroll in the first line. No more than 20% pure promotion. Formats must fit each platform's native style. Keep sample posts authentic to the brand voice, not generic.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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