name: anysite-audience-analysis
description: Analyze audience demographics, engagement patterns, and follower behavior across Instagram, YouTube, and LinkedIn using anysite MCP server. Understand who engages with content, track audience growth, analyze follower quality, identify engagement patterns, and profile audience characteristics. Supports Instagram audience analysis, YouTube subscriber research, and LinkedIn connection profiling. Use when users need to understand target audiences, validate influencer audiences, analyze follower demographics, track engagement patterns, or optimize content for specific audience segments.

anysite Audience Analysis

Understand your audience through demographic analysis, engagement patterns, and follower behavior across Instagram, YouTube, and LinkedIn.

Overview

• Analyze follower demographics and characteristics
• Track engagement patterns and behavior
• Evaluate audience quality and authenticity
• Identify content preferences by audience segment
• Optimize targeting based on audience insights

Coverage: 60% - Focused on Instagram, YouTube, LinkedIn

Supported Platforms

• ✅ Instagram: Follower analysis, engagement patterns, audience location
• ✅ YouTube: Subscriber insights, comment demographics, viewer behavior
• ✅ LinkedIn: Connection analysis, professional demographics, engagement

Quick Start

Step 1: Identify Audience Source

Choose platform:
- Instagram: get_instagram_user + get_instagram_user_friendships
- YouTube: get_youtube_channel_videos + comment analysis
- LinkedIn: get_linkedin_user_posts + engagement analysis

Step 2: Collect Audience Data

Gather:
- Follower/subscriber counts
- Engagement metrics
- Demographics (from profiles)
- Behavior patterns

Step 3: Analyze Patterns

Look for:
- Audience segments
- Engagement drivers
- Content preferences
- Peak activity times

Step 4: Generate Insights

Deliver:
- Audience profile summary
- Engagement patterns
- Content recommendations
- Targeting suggestions

Common Workflows

Workflow 1: Instagram Audience Analysis

Steps:

1. Get Profile Overview

get_instagram_user(username)
→ Follower count, post count, bio

1. Analyze Followers (sample)

get_instagram_user_friendships(
  user=username,
  type="followers",
  count=100
)

For each follower (sample):
- Profile type (personal, business, creator)
- Bio indicators (interests, location)
- Follower count (influence level)

1. Engagement Pattern Analysis

get_instagram_user_posts(username, count=50)

For each post:
  get_instagram_post_likes(post_id, count=100)
  get_instagram_post_comments(post_id, count=50)

Analyze:
- Who engages most (power users)
- When engagement happens (timing)
- What content drives engagement
- Comment quality and topics

1. Audience Segmentation

Group followers by:
- Engagement level (active, passive, ghost)
- Interests (from bios)
- Location (from profiles)
- Influence (follower counts)

Expected Output:
- Audience demographics summary
- Engagement patterns
- Top engaged followers
- Content preferences

Workflow 2: YouTube Audience Insights

Steps:

1. Channel Overview

get_youtube_channel_videos(channel, count=50)

Aggregate:
- Total views
- Subscriber milestones
- Content mix

1. Viewer Engagement Analysis

For recent videos:
  get_youtube_video(video_id)
  → Views, likes, comments

  get_youtube_video_comments(video_id, count=200)
  → Analyze commenter patterns

1. Audience Demographics from Comments

From comments analyze:
- Questions asked (knowledge level)
- Topics discussed (interests)
- Language and tone
- Technical depth

1. Content Performance by Audience

Correlate:
- High-view videos → audience interests
- High-comment videos → engagement topics
- High-like videos → quality indicators

Expected Output:
- Viewer interest profile
- Engagement drivers
- Content optimization insights
- Audience knowledge level

Workflow 3: LinkedIn Audience Profiling

Steps:

1. Get Post History

get_linkedin_user_posts(urn, count=50)

1. Analyze Engagement

For each post:
- Reaction count and types
- Comment depth
- Share count
- Post reach indicators

1. Profile Engagers (if accessible)

From reactions/comments:
- Job titles
- Industries
- Companies
- Seniority levels

1. Content-Audience Mapping

Correlate:
- Which topics get most engagement
- Which formats perform best
- Which audiences engage with what
- When different audiences are active

Expected Output:
- Professional audience profile
- Engagement patterns by topic
- Content-audience fit analysis
- Posting optimization recommendations

MCP Tools Reference

Instagram

• get_instagram_user - Profile stats
• get_instagram_user_friendships - Follower/following lists
• get_instagram_user_posts - Post history
• get_instagram_post_likes - Who liked posts
• get_instagram_post_comments - Comment analysis

YouTube

• get_youtube_channel_videos - Channel content
• get_youtube_video - Video metrics
• get_youtube_video_comments - Audience engagement

LinkedIn

• get_linkedin_user_posts - Post history
• get_linkedin_profile - Profile insights

Audience Analysis Framework

Demographic Analysis:

- Age range (inferred from profiles)
- Location (from bio/profiles)
- Interests (from bio keywords)
- Professional level (LinkedIn titles)

Behavioral Analysis:

- Engagement frequency
- Content preferences
- Peak activity times
- Interaction patterns

Quality Metrics:

- Real vs. fake followers
- Engagement authenticity
- Audience overlap
- Influence distribution

Output Formats

Chat Summary:
- Audience profile highlights
- Key engagement patterns
- Content recommendations
- Strategic insights

CSV Export:
- Follower sample data
- Engagement metrics
- Segment distribution

JSON Export:
- Complete audience data
- Engagement time series
- Segmentation details

Reference Documentation

• PLATFORM_COVERAGE.md - Platform-specific audience analysis capabilities
• TOOL_MAPPING.md - Mapping analysis needs to MCP tools

Ready to understand your audience? Ask Claude to help you analyze followers, track engagement patterns, or profile audience characteristics!