Content Formulas - Twitter Analysis

Analyze viral Twitter content formulas from top creators to extract patterns, structures, and emotional triggers that drive engagement.

PublishedJun 4, 2026

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Content Formulas - Twitter Analysis

Analyze viral Twitter content formulas from top creators to extract patterns, structures, and emotional triggers that drive engagement.

Task

Use the twitter-x-researcher agent.

Research Recent Viral Content: Analyze tweets from the past month from these accounts:

<CUSTOMIZE: Add Twitter accounts relevant to your industry>
Extract Content Formulas: For each viral tweet, identify:
- Structure: How is the content organized? (hook, body, CTA, etc.)
- Emotional Triggers: What emotions does it evoke? (curiosity, FOMO, validation, etc.)
- Content Patterns: What makes it shareable? (controversy, insight, story, etc.)
- Engagement Mechanics: What drives likes, retweets, and replies?
Analyze Viral Patterns:
- Common structural elements across high-performing tweets
- Emotional hooks that generate the most engagement
- Timing and context factors
- Content types that perform best (threads, single tweets, polls, etc.)
Create Reusable Formulas: Develop templates that can be adapted for other topics while maintaining the viral elements.

Output Requirements

Save results to /formulas/twitter.md with the following structure:

# Twitter Content Formulas Analysis

## Executive Summary

[Brief overview of key findings]

## Account Analysis

### @username

- **Top Performing Tweets**: [List with engagement metrics]
- **Common Patterns**: [Structural and emotional patterns]
- **Formula Identified**: [Reusable template]

## Universal Viral Formulas

### Formula 1: [Name]

- **Structure**: [Step-by-step breakdown]
- **Emotional Trigger**: [Primary emotion]
- **Use Cases**: [When to apply]
- **Example Template**: [Fill-in-the-blank version]

## Content Strategy Recommendations

[Actionable insights for creating viral content]

Instructions for Agent

Focus on recent content (within 1 month) with high engagement from the Twitter accounts I've specified. Look for patterns in:

Tweet length and structure
Use of questions, statistics, or controversial statements
Threading strategies
Call-to-action placement
Visual elements (if any)
Timing of posts

Extract concrete, actionable formulas that can be applied to any topic while maintaining the viral potential.

Contents

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