anysite-content-analytics

# anysite Content Analytics

Measure and optimize content performance across social platforms using anysite MCP. Track engagement, identify top performers, and refine your content strategy.

## Overview

- **Track post performance** across Instagram, YouTube, LinkedIn, Twitter/X
- **Analyze engagement metrics** (likes, comments, shares, views)
- **Identify top content** and viral patterns
- **Benchmark against competitors** for strategy insights
- **Optimize posting strategy** based on data

**Coverage**: 80% - Strong for Instagram, YouTube, LinkedIn, Twitter, Reddit

## Supported Platforms

- ✅ **Instagram**: Posts, Reels, likes, comments, engagement rates
- ✅ **YouTube**: Videos, views, likes, comments, watch time indicators
- ✅ **LinkedIn**: Posts, articles, reactions, comments, shares
- ✅ **Twitter/X**: Tweets, retweets, likes, replies
- ✅ **Reddit**: Posts, upvotes, comments, awards

## Quick Start

**Step 1: Collect Content Data**

Platform-specific:
- Instagram: `get_instagram_user_posts(username, count=50)`
- LinkedIn: `get_linkedin_user_posts(urn, count=50)`
- Twitter: `get_twitter_user_posts(user, count=100)`
- YouTube: `get_youtube_channel_videos(channel, count=30)`

**Step 2: Analyze Engagement**

Calculate metrics:
- Engagement rate: (likes + comments + shares) / followers
- Best performing content: Top 10% by engagement
- Content types: Video vs. image vs. text
- Posting frequency: Posts per week

**Step 3: Identify Patterns**

Look for:
- Best posting times (day of week, time)
- Top-performing topics/themes
- Optimal content length
- High-engagement formats

**Step 4: Optimize Strategy**

Based on findings:
- Double down on top content types
- Post more during peak engagement times
- Replicate successful topics
- Adjust content mix

## Common Workflows

### Workflow 1: Instagram Content Audit

**Steps**:

1. **Get All Posts**
```
get_instagram_user_posts(username, count=100)
```

2. **Calculate Metrics**
```
For each post:
- Engagement rate = (likes +