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!