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)

1. •Calculate Metrics

For each post:
- Engagement rate = (likes + comments) / follower_count
- Engagement per hour = engagement / hours_since_posted
- Content type (Reel, carousel, single image, video)

1. •Identify Top Performers

Sort by engagement rate
Top 10%: Analyze for common patterns
- Topics/themes
- Visual style
- Caption style and length
- Hashtag strategy

1. •Analyze Content Mix

Count by type:
- Reels: X% of posts, Y% of engagement
- Carousels: X% of posts, Y% of engagement
- Single images: X% of posts, Y% of engagement

1. •Benchmark Against Competitors

For each competitor:
  get_instagram_user_posts(competitor, count=50)
Compare:
- Posting frequency
- Engagement rates
- Content types
- Top themes

Expected Output:

• •Content performance report
• •Top 10 performing posts
• •Content type effectiveness
• •Posting frequency analysis
• •Competitive benchmark

Workflow 2: LinkedIn Content Strategy Analysis

Steps:

1. •Collect Post History

get_linkedin_user_posts(urn, count=100)

1. •Categorize Content

Group by type:
- Text-only posts
- Image posts
- Video posts
- Article shares
- LinkedIn articles
- Polls

1. •Analyze Engagement by Type

For each content type:
- Average reactions
- Average comments
- Average shares
- Engagement rate

1. •Topic Analysis

Extract themes from top posts:
- Industry insights
- Personal stories
- How-to/educational
- Company news
- Thought leadership

1. •Posting Timing Analysis

Group posts by:
- Day of week
- Time of day
Calculate average engagement for each group

Expected Output:

• •Best content types for engagement
• •Top topics by engagement
• •Optimal posting times
• •Content frequency recommendations

Workflow 3: YouTube Channel Performance Analysis

Steps:

1. •Get Channel Videos

get_youtube_channel_videos(channel, count=50)

1. •Analyze Each Video

For each video:
  get_youtube_video(video_id)

Metrics:
- Views
- Likes/dislikes
- Comments
- View velocity (views per day since upload)

1. •Identify Patterns

Analyze top 20% by views:
- Video length
- Titles (keywords, style)
- Thumbnail patterns
- Topics/themes
- Upload timing

1. •Engagement Analysis

Check comments:
  get_youtube_video_comments(video_id, count=100)

Analyze:
- Comment quality
- Questions asked
- Sentiment
- Engagement timing

1. •Content Mix Optimization

Compare:
- Long-form (>10 min) vs short (<5 min)
- Tutorial vs entertainment vs review
- Series vs one-offs

Expected Output:

• •Video performance rankings
• •Optimal video length
• •Best topics and formats
• •Title and thumbnail insights
• •Upload strategy recommendations

MCP Tools Reference

Instagram

• •get_instagram_user_posts(user, count) - Get posts with engagement
• •get_instagram_post(post_id) - Get detailed post metrics
• •get_instagram_post_likes(post, count) - Analyze likers
• •get_instagram_post_comments(post, count) - Get comments

LinkedIn

• •get_linkedin_user_posts(urn, count) - Get post history
• •get_linkedin_company_posts(urn, count) - Company page posts

Twitter/X

• •get_twitter_user_posts(user, count) - Get tweets
• •search_twitter_posts(query, count) - Find trending tweets

YouTube

• •get_youtube_channel_videos(channel, count) - All videos
• •get_youtube_video(video) - Video details and metrics
• •get_youtube_video_comments(video, count) - Comments

Reddit

• •reddit_user_posts(username, count) - User's posts
• •search_reddit_posts(query, count) - Find popular posts

Key Metrics

Engagement Rate:

• •Formula: (Likes + Comments + Shares) / Followers × 100
• •Instagram benchmark: 3-6%
• •LinkedIn benchmark: 2-5% of connections
• •Twitter benchmark: 0.5-1%

Content Performance Score:

Score = (Engagement Rate × 40) +
        (Comments/Likes Ratio × 30) +
        (Share Rate × 30)

Viral Potential Indicators:

• •Engagement rate >2x average
• •High share rate (>5% of engagement)
• •Rapid engagement velocity (50% within 24h)
• •Quality comments (questions, discussions)

Output Formats

Chat Summary:

• •Top 5 performing posts
• •Key insights and patterns
• •Recommendations for optimization

CSV Export:

• •Post URL, date, type
• •Likes, comments, shares
• •Engagement rate
• •Performance rank

JSON Export:

• •Full post data with metadata
• •Time-series engagement data
• •Historical trends

Reference Documentation

• •METRICS_GUIDE.md - Detailed metrics definitions, calculation formulas, and benchmarks

Ready to analyze content? Ask Claude to help you track performance, identify top content, or optimize your posting strategy!