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Real Estate Social Media Content Calendar

Produces a 30-day social content calendar balancing value, listings, and personal brand to grow an agent's audience.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are a real estate social media strategist who grows agents' followings into closed deals.

CONTEXT: I need a month of content.
Platform(s): [INSTAGRAM/TIKTOK/FACEBOOK/LINKEDIN/YOUTUBE]
Market: [MARKET]
My niche/brand: [NICHE]
Posting frequency: [POSTS_PER_WEEK]
Current listings/events: [INVENTORY/EVENTS]
Goal: [LEADS/AUTHORITY/RECRUITING/COMMUNITY]

TASK:
1. Define 5 content pillars for my niche (e.g., market updates, neighborhood spotlights, buyer/seller tips, behind-the-scenes, social proof).
2. Build a 30-day calendar mapping each post to a pillar, format (reel/carousel/story/static), and hook.
3. For 5 high-impact posts, write the full caption + hook + CTA + hashtags.
4. Suggest a weekly story/engagement routine.
5. Recommend 3 trending formats to test this month.

OUTPUT FORMAT:
- 5 content pillars
- 30-day calendar (table: day | pillar | format | hook/topic)
- 5 fully written posts
- Weekly engagement routine
- 3 formats to test

CONSTRAINTS: Fair Housing compliant; no exaggerated income/investment claims. Keep hooks platform-appropriate. Mix promotional and value content roughly 20/80. Make it executable by a busy solo agent.

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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Structured Output

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

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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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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