Competitor Intelligence

MCP-powered workflow for analyzing competitor X/Twitter accounts. Produces a structured report covering profile, content, audience, and network.

MCP Tools Used

Workflow

1. Collect profile — Call x_get_profile for the target username. Record bio, follower count, following count, verified status, join date.
2. Pull recent tweets — Call x_get_tweets with limit: 50. Note posting frequency, media usage, and content themes.
3. Calculate engagement metrics — For each tweet compute engagement rate: (likes + retweets + replies) / follower_count. Identify top 5 posts by total engagement.
4. Analyze content patterns — Categorize tweets by type (original, reply, retweet, thread). Track posting times and days. Identify recurring topics and hashtags.
5. Audit audience — Call x_get_followers with limit: 100. Scan bios for common keywords, industries, and follower size distribution.
6. Map network — Call x_get_following with limit: 100. Identify mutual connections, industry peers, and influencer relationships.
7. Compile report — Assemble findings into the output template below.

Output Template

## Competitor Report: @{username}

### Profile Summary
- Followers: {count} | Following: {count} | Ratio: {ratio}
- Verified: {yes/no} | Joined: {date}
- Bio: {bio}

### Content Strategy
- Posts/week: {count} | Primary type: {original/reply/thread}
- Top topics: {topic1}, {topic2}, {topic3}
- Peak posting: {day} at {hour}
- Media usage: {percentage}% of posts include images/video

### Engagement Metrics
- Avg engagement rate: {rate}%
- Avg likes: {n} | Avg retweets: {n} | Avg replies: {n}
- Top post: {url} ({likes} likes, {retweets} RTs)

### Audience Profile
- Common industries: {list}
- Common bio keywords: {list}
- Follower size distribution: {micro/mid/large breakdown}

### Network
- Notable follows: {list}
- Mutual connections: {list}
- Key communities: {list}