Social Media Content Calendar Generator
Builds a strategic monthly social calendar with content buckets, hooks, and platform-specific formats tied to goals.
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
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
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
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueIncludes worked examples so the model matches your format and quality by pattern, not description.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueRecommended models
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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