anysite Content Analytics

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

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

• 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)

• 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

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

• 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

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

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

Workflow 2: LinkedIn Content Strategy Analysis

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

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

Workflow 3: YouTube Channel Performance Analysis

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

• 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

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

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

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

Output Formats

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

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

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

Reference Documentation

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