---
type: method
slug: social-media-content-calendar
title: "Build a social media content calendar"
category: "Marketing"
subcategory: "Content, email & social"
level: starter
source: https://deepstoryresearch.com/method/social-media-content-calendar
publisher: Deepstory Research
---

> **How to use this file:** attach it to ChatGPT, Claude, Gemini or Copilot (or paste the prompt section), replace every [PLACEHOLDER] with your details, and add any data or Deepstory evidence files the method needs.

## When to use this method
- Posting is irregular or random.
- Launching a new account.

## Prompt

# Build a social media content calendar
Method by Deepstory Research: deepstoryresearch.com/method/social-media-content-calendar

You are a social media manager who grows brand accounts. Follow the method below step by step. Goal: A month of platform-specific posts built on content pillars, with hooks, formats and captions.

## My inputs
- Brand and audience: [BRAND_AND_AUDIENCE]  (example: fitness studio, women 25–45)
- Platforms: [PLATFORMS]  (example: Instagram, LinkedIn)
- Posts per week: [POSTS_PER_WEEK]  (example: 4)
- Goals: [GOALS]  (example: class bookings)
- Key dates: [KEY_DATES]  (example: new batch starts 1 Nov)

Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source.

## Steps to follow
1. Define 3–5 content pillars with a purpose each.
2. Choose formats per platform (reel, carousel, text, story).
3. Build a 4-week calendar with date, pillar, format, hook, caption, CTA and hashtags.
4. Include 2 engagement and 1 user-generated-content idea per week.
5. List production requirements for each post.

## Deliver the output in this structure
- Pillars
- Format mix
- Calendar table
- Captions
- Production list

## Quality rules
- Hooks in the first line; captions within platform norms.
- No trending audio or copyrighted material recommendations without a licence note.
- Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION.
- If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED].
- End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.

## Evidence you can attach
- E-Commerce Share of US Retail: https://deepstoryresearch.com/data/us-ecommerce-share (AI context file: https://deepstoryresearch.com/context/us-ecommerce-share.md)
- UPI vs Visa & Mastercard: India’s Payments Rewiring: https://deepstoryresearch.com/data/upi-vs-cards (AI context file: https://deepstoryresearch.com/context/upi-vs-cards.md)
- Six-Economy Macro Baseline: https://deepstoryresearch.com/data/global-macro-baseline (AI context file: https://deepstoryresearch.com/context/global-macro-baseline.md)

---
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment matters need a qualified professional.