30-Day Omnichannel Editorial Content Calendar Planner
Plan a month-long content schedule structured around core narrative pillars, audience personas, and publishing cadences.
Compatibility & Specs
Compatible AI Models
ClaudeChatGPT
Last UpdatedApr 1, 2026
Customizable Variables4 parameters
Main Prompt Template
171 words • 1157 characters
You are a Head of Content Marketing and Editorial Director. I need a structured, high-signal 30-day editorial content calendar for our brand.
Brand & Domain Niche: [brand_niche]
Primary Target Audience: [target_audience]
Core Content Pillars / Topics: [content_pillars]
Publishing Channels & Weekly Cadence: [publishing_channels]
Deliver the 30-Day Editorial Masterplan:
1. 4 Core Editorial Pillars: Define the narrative scope and purpose of each pillar (e.g. Pillar 1: Deep Technical Teardowns, Pillar 2: Common Industry Mistakes, Pillar 3: Tactical Frameworks, Pillar 4: Culture & Behind-the-Scenes).
2. Weekly Content Roster (Weeks 1 to 4): For each week, provide a calendar table with: (A) Day of Week, (B) Channel, (C) Editorial Pillar, (D) Working Headline / Title, (E) Core Angle & Hook, (F) Call to Action.
3. Content Production Batching Schedule: How a lean solo creator or 2-person marketing team can research, draft, and schedule all 30 days of content in just two 4-hour batching sessions.
4. Evergreen Repurposing Rules: Specific guidelines on which posts should be automatically recycled into monthly roundups or automated welcome sequences.
Tip:Variables marked in purple brackets can be tailored below.
Customize Prompt
Fill in the variables below. Your customized prompt updates instantly in the browser — no AI API needed.
Parameters (4)* Indicates required field
[brand_niche]
What industry or topic your brand covers
[target_audience]
Who reads your content
[content_pillars]
The 3-4 topics you want to build authority in
[publishing_channels]
Where and how often you publish
4 parameters active
Live Customized OutputLive Preview
230 wordsYou are a Head of Content Marketing and Editorial Director. I need a structured, high-signal 30-day editorial content calendar for our brand.
Brand & Domain Niche: Modern frontend engineering, Next.js architecture, and AI-assisted developer workflows
Primary Target Audience: Frontend developers, full-stack engineers, and technical engineering leaders
Core Content Pillars / Topics: 1. Next.js App Router performance and server caching; 2. React 19 architecture and modern state management; 3. Tactical AI prompt engineering for software developers; 4. Engineering career progression and code review standards.
Publishing Channels & Weekly Cadence: 1 weekly long-form Substack newsletter (Tuesdays) + 3 LinkedIn posts/week + 2 Twitter threads/week
Deliver the 30-Day Editorial Masterplan:
1. 4 Core Editorial Pillars: Define the narrative scope and purpose of each pillar (e.g. Pillar 1: Deep Technical Teardowns, Pillar 2: Common Industry Mistakes, Pillar 3: Tactical Frameworks, Pillar 4: Culture & Behind-the-Scenes).
2. Weekly Content Roster (Weeks 1 to 4): For each week, provide a calendar table with: (A) Day of Week, (B) Channel, (C) Editorial Pillar, (D) Working Headline / Title, (E) Core Angle & Hook, (F) Call to Action.
3. Content Production Batching Schedule: How a lean solo creator or 2-person marketing team can research, draft, and schedule all 30 days of content in just two 4-hour batching sessions.
4. Evergreen Repurposing Rules: Specific guidelines on which posts should be automatically recycled into monthly roundups or automated welcome sequences.
How to Use This Prompt
Follow this 3-step workflow to extract high-signal responses from any compatible AI model.
01
1. Tailor the Parameters
Use the interactive customizer above to substitute the bracketed placeholders with your exact context, requirements, and constraints.
02
2. Send to AI Model
Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot. These models follow structured multi-step constraints reliably.
03
3. Review and Iterate
Review the output against the verified benchmark below. Follow up in the conversation to stress-test edge cases or refine tone.
Prompt Variables & Parameters
Reference breakdown of every dynamic variable embedded in this prompt template.
| Placeholder | Parameter Name | Type | Status | Description & Guidance |
|---|---|---|---|---|
| [brand_niche] | Brand & Domain Niche | text | Required | What industry or topic your brand coversDefault: Modern frontend engineering, Next.js architecture, and AI-assisted developer workflows |
| [target_audience] | Target Audience | text | Required | Who reads your contentDefault: Frontend developers, full-stack engineers, and technical engineering leaders |
| [content_pillars] | Content Pillars / Core Themes | textarea | Required | The 3-4 topics you want to build authority inDefault: 1. Next.js App Router performance and server caching; 2. React 19 architecture and modern state management; 3. Tactical AI prompt engineering for software developers; 4. Engineering career progression and code review standards. |
| [publishing_channels] | Publishing Channels & Cadence | text | Required | Where and how often you publishDefault: 1 weekly long-form Substack newsletter (Tuesdays) + 3 LinkedIn posts/week + 2 Twitter threads/week |
Example Execution & Benchmark Output
Sample input arguments and the verified AI response demonstrating expected quality and formatting.
Sample VariablesInputs
[brand_niche]
Modern frontend engineering, Next.js architecture, and AI-assisted developer workflows
[target_audience]
Frontend developers, full-stack engineers, and technical engineering leaders
[content_pillars]
1. Next.js App Router performance and server caching; 2. React 19 architecture and modern state management; 3. Tactical AI prompt engineering for software developers; 4. Engineering career progression and code review standards.
[publishing_channels]
1 weekly long-form Substack newsletter (Tuesdays) + 3 LinkedIn posts/week + 2 Twitter threads/week
Expected AI ResponseVerified Result
### Week 1 Editorial Schedule Sample
| Day | Channel | Pillar | Working Headline | Core Angle / Hook | CTA |
| :--- | :--- | :--- | :--- | :--- | :--- |
| **Mon** | LinkedIn | Next.js Perf | *"Why your Next.js Server Components are slower than your old client SPA."* | Debunking common App Router waterfall fetching anti-patterns. | Subscribe to newsletter |
| **Tue** | Substack | React 19 | *"The Complete React 19 Migration Guide for Production Codebases."* | Deep-dive architectural review of Server Actions and useOptimistic. | Link to GitHub repo |
| **Wed** | Twitter/X | AI Prompts | *"7 AI prompt templates that actually write clean TypeScript tests (with zero hallucinations)."* | Concrete examples comparing bad vs structured prompts. | Bookmark thread |
| **Thu** | LinkedIn | Career | *"The difference between a Senior and Staff Engineer is not code speed—it's ambiguity tolerance."* | Real-world engineering leadership narrative. | Comment question |
| **Fri** | Twitter/X | Next.js Perf | *"5 lines of config in next.config.ts that cut our bundle size by 35%."* | Quick actionable tactical tip. | Share with team |
Best Use Cases
Scenarios and roles where this prompt produces maximum leverage.
B2B SaaS companies establishing a consistent organic content engine
Solo creators eliminating daily decision fatigue with organized monthly calendars
Marketing managers coordinating multi-channel freelance writers and designers
Tips for Best Results
Techniques to elevate response fidelity
- •Provide a sample paragraph demonstrating your preferred rhythm, cadence, and sentence length.
- •Direct the model to prioritize active voice, clear transitions, and high information density.
- •Have the model generate a rapid outline first before fleshing out long-form copy.
Common Mistakes to Avoid
Frequent failure modes and anti-patterns
- •Accepting the first draft without asking the AI to trim 20% of redundant filler words.
- •Omitting target audience reading level, leading to overly verbose or academic phrasing.
- •Ignoring formatting hierarchy: walls of uninterrupted text perform poorly compared to structured bullet points.
Part of Curated Collections
This prompt is sequenced as part of these goal-oriented workflows
Related AI Prompts
Complementary workflows in Content Creation
Social Mediabeginner
High-Signal LinkedIn & X Thought Leadership Hook Generator
Generate 5 contrarian hooks and formatting structures that stop the scroll and drive engagement.
claudechatgptgemini
#social-media#linkedin#x-twitter
Content Creationintermediate
Long-Form Technical Essay & Substack Editorial Polisher
Transform dense engineering drafts into engaging, publication-ready essays like Paul Graham or Dan Luu.
claudechatgpt
#content-creation#writing#editing
Content Creationintermediate
Long-Form to Multi-Platform Content Repurposing Engine
Transform a single deep-dive article into high-performing LinkedIn posts, Twitter/X threads, newsletter blurbs, and short video scripts.
claudechatgpt
#content-repurposing#multi-channel#social-media
Related Engineering Guides
Deep-dive playbooks and system prompt methodologies for Content Creation