anysite-influencer-discovery
anysite Influencer Discovery
Find and analyze influencers across social platforms using anysite MCP. Discover content creators, evaluate their reach and engagement, and identify partnership opportunities.
Overview
- Discover influencers across Instagram, Twitter, LinkedIn, YouTube
- Analyze engagement and audience quality
- Track activity and content patterns
- Evaluate partnership fit based on niche and metrics
- Build influencer lists with contact information
Coverage: 85% - Excellent for Instagram, Twitter, LinkedIn, YouTube influencers.
Supported Platforms
- ✅ Instagram: Profile stats, posts, followers, engagement, Reels
- ✅ Twitter/X: User search, followers, tweets, engagement
- ✅ LinkedIn: B2B influencers, thought leaders, professional content
- ✅ YouTube: Channel search, subscribers, views, video performance
- ✅ Reddit: Community influencers, karma, post quality
Quick Start
Step 1: Search for Influencers
By platform:
- Instagram:
search_instagram_postswith niche keywords + hashtags - Twitter:
search_twitter_userswith niche keywords - LinkedIn:
search_linkedin_userswith industry + "thought leader" - YouTube:
search_youtube_videoswith niche, then analyze channels
Step 2: Analyze Profiles
Get detailed metrics:
- Instagram:
get_instagram_user→ followers, posts, engagement rate - Twitter:
get_twitter_user→ followers, tweet frequency - YouTube:
get_youtube_channel_videos→ subscribers, views, growth - LinkedIn:
get_linkedin_profile→ connections, post engagement
Step 3: Evaluate Engagement
Check engagement quality:
- Post likes, comments, shares
- Engagement rate (engagement / followers)
- Audience authenticity (comment quality)
- Content consistency (posts per week)
Step 4: Build Influencer List
Export with:
- Name, handle, platform
- Follower count, engagement rate
- Niche/topics, content type
- Contact info (if available)
- Partnership fit score
Common Workflows
Workflow 1: Instagram Influencer Discovery
Scenario: Find Instagram influencers in sustainable fashion (10k-100k followers)
Steps:
- Search by Hashtag/Keywords
search_instagram_posts(
query="sustainable fashion OR eco friendly fashion",
count=100
)
→ Extract unique user handles from results
- Analyze Each Creator
For each unique handle:
get_instagram_user(username)
→ Follower count, bio, profile type
Filter for:
- 10k-100k followers
- Business/Creator account
- Bio mentioning sustainability
- Evaluate Content
For qualified creators:
get_instagram_user_posts(username, count=30)
Analyze:
- Post frequency (consistency)
- Engagement rate per post
- Content quality and style
- Brand partnerships visible
- Check Audience Quality
get_instagram_post_likes(post_id, count=100)
get_instagram_post_comments(post_id, count=50)
Look for:
- Real comments (not just emojis)
- Engaged community (questions, discussions)
- Geographic relevance
- Get Contact Information
From Instagram bio:
- Email addresses
- Website links
If LinkedIn mentioned:
search_linkedin_users(first_name, last_name)
get_linkedin_profile(user)
Expected Output:
- 20-40 qualified influencers
- Engagement metrics for each
- Contact information for 60-70%
- Partnership fit scores
Workflow 2: LinkedIn Thought Leader Identification
Scenario: Find B2B thought leaders in SaaS/sales
Steps:
- Search for Active Posters
search_linkedin_users(
keywords="SaaS sales thought leader",
title="VP Sales OR Head of Sales OR Chief Revenue Officer",
count=100
)
- Analyze Post Activity
For each candidate:
get_linkedin_user_posts(urn, count=50)
Filter for:
- Posts 2-3x per week minimum
- High engagement (100+ reactions)
- Original content (not just shares)
- Evaluate Influence
Check post engagement:
- Average reactions per post
- Comment quality and quantity
- Share count
- Follower growth signals
- Assess Content Quality
Review posts for:
- Expertise demonstration
- Original insights
- Engagement with comments
- Consistency of messaging
Expected Output:
- 15-25 active thought leaders
- Content themes and topics
- Engagement metrics
- Partnership opportunities (guest posts, quotes, etc.)
Workflow 3: YouTube Creator Research
Scenario: Find YouTube creators in tech reviews
Steps:
- Search for Niche Content
search_youtube_videos(
query="tech review 2026",
count=100
)
→ Extract unique channel names
- Analyze Channels
For each channel:
get_youtube_channel_videos(channel, count=30)
Check:
- Subscriber count
- Upload frequency
- Average views per video
- Video length (long-form vs shorts)
- Evaluate Video Performance
For top videos:
get_youtube_video(video_id)
Metrics:
- View count
- Like/dislike ratio
- Comments count
- Watch time signals (retention)
- Analyze Audience Engagement
get_youtube_video_comments(video_id, count=100)
Look for:
- Active community
- Technical discussions
- Purchase decisions influenced
Expected Output:
- 10-20 relevant channels
- Subscriber and view metrics
- Engagement analysis
- Partnership fit assessment
MCP Tools Reference
search_instagram_posts- Find posts by keywords/hashtagsget_instagram_user- Get profile with followers, bioget_instagram_user_posts- Get recent posts with engagementget_instagram_post_likes- Check audience authenticityget_instagram_post_comments- Analyze engagement qualityget_instagram_user_friendships- Get followers list (for analysis)
Twitter/X
search_twitter_users- Find users by keywords/bioget_twitter_user- Get profile with followers, tweetsget_twitter_user_posts- Get recent tweets with engagementsearch_twitter_posts- Find influential tweets in niche
search_linkedin_users- Find professionals by keywords/titleget_linkedin_profile- Get complete profileget_linkedin_user_posts- Get post history and engagementget_linkedin_user_skills- Verify expertiseget_linkedin_user_connections- Network size (for own account)
YouTube
search_youtube_videos- Find videos by keywordsget_youtube_channel_videos- Get all videos from channelget_youtube_video- Get video metrics (views, likes)get_youtube_video_comments- Analyze audience engagement
search_reddit_posts- Find influential posts in subredditsreddit_user_posts- Get user's post historyreddit_user_comments- Analyze community engagement
Output Formats
Chat Summary:
- Top 10 influencers with key metrics
- Engagement rate comparison
- Partnership recommendations
- Contact information found
CSV Export:
- Influencer name, handle, platform
- Followers, engagement rate
- Niche, content type
- Email, website
- Fit score (1-100)
JSON Export:
- Complete profile data
- All posts with engagement
- Audience demographics (if available)
- Historical metrics
Influencer Evaluation Framework
Reach Metrics
- Followers: Total audience size
- Views: Average content views
- Growth: Follower growth rate
Engagement Metrics
- Rate: Engagement / Followers
- Quality: Comment depth and relevance
- Consistency: Regular engagement patterns
Authenticity Indicators
- Audience Quality: Real vs. fake followers
- Comment Quality: Meaningful discussions
- Growth Pattern: Organic vs. purchased
- Engagement Distribution: Consistent vs. spiky
Content Quality
- Production Value: Visual/audio quality
- Originality: Unique vs. repurposed
- Consistency: Regular posting schedule
- Niche Alignment: On-brand content
Partnership Fit
- Audience Overlap: Match with target market
- Brand Alignment: Values and messaging
- Professionalism: Past partnerships, disclosure
- Availability: Contact information, responsiveness
Advanced Features
Micro-Influencer Strategy
Focus on 10k-50k followers for higher engagement:
Benefits:
- Higher engagement rates (5-10% vs. 1-3%)
- More authentic audience connections
- Lower partnership costs
- Niche expertise
Discovery approach:
- Use hashtag searches
- Analyze engagement vs. reach
- Prioritize niche relevance over size
Multi-Platform Presence Analysis
Identify influencers active across platforms:
1. Find on Instagram/Twitter
2. Search LinkedIn for professional presence
3. Check for YouTube channel
4. Look for website/blog (parse_webpage)
Benefits:
- Multiple touchpoints
- Diverse content formats
- Professional credibility
- Larger total reach
Audience Demographics Research
Analyze who follows the influencer:
Instagram:
- get_instagram_user_friendships(followers, count=100)
- Analyze follower profiles for patterns
LinkedIn:
- Check who engages with posts
- Identify follower job titles/industries
YouTube:
- Analyze comment demographics
- Check subscriber locations (if available)
Reference Documentation
- DISCOVERY_CRITERIA.md - Influencer evaluation criteria, scoring frameworks, and niche identification strategies
Troubleshooting
No Influencers Found:
- Broaden search keywords
- Try multiple hashtags
- Search across multiple platforms
- Reduce minimum follower requirements
Low Engagement Rates:
- Filter for engagement rate > 2-3%
- Focus on micro-influencers (smaller = higher engagement)
- Check for bot followers (sudden spikes)
No Contact Information:
- Check bio for email/website
- Look for LinkedIn profile
- Try website domain (parse_webpage)
- Search for media kit or press page
Ready to discover influencers? Ask Claude to help you find content creators, analyze engagement, or build influencer lists for your marketing campaigns!
More from anysiteio/agent-skills
skill-audit
Read-only static security audit of Claude Code skills, commands, and plugins. Analyzes SKILL.md frontmatter, body content, supporting scripts, and hooks for security risks. Use this skill when the user asks to "audit a skill", "review skill security", "check SKILL.md for risks", "scan a plugin for dangerous patterns", "verify skill safety", "check skill permissions", "analyze skill hooks", "audit a skill from GitHub", "review a remote skill", "check a skill by URL", or needs a security assessment of any Claude Code skill, command, or plugin before enabling it.
28anysite-trend-analysis
Discover and track emerging trends across Twitter/X, Reddit, YouTube, LinkedIn, and Instagram using anysite MCP server. Identify viral content, monitor topic momentum, detect trending hashtags, analyze search patterns, and track industry shifts. Supports multi-platform trend detection, sentiment analysis, and momentum tracking. Use when users need to identify emerging trends, track viral content, monitor market shifts, discover trending topics, or analyze social media conversations for strategic insights.
13anysite-lead-generation
Lead generation and prospecting using anysite MCP server for LinkedIn prospect discovery, email finding, company research, and contact enrichment. Extract contacts from websites, find decision-makers at target companies, and build qualified prospect lists for sales, recruiting, and business development. Supports LinkedIn (primary), web scraping for contact extraction, and Instagram business discovery. Use when users need to build prospect lists, find decision-makers, extract contact information, research potential customers, or enrich existing leads with additional data.
12anysite-market-research
Conduct comprehensive market research using Y Combinator data, SEC filings, social media insights, and web scraping via anysite MCP server. Analyze tech markets, research startup ecosystems, study public companies, identify market opportunities, and understand competitive dynamics. Supports startup discovery, industry analysis, public company research, and social sentiment analysis. Use when users need to analyze market opportunities, research industries, evaluate startups, study public companies, or gather market intelligence for strategic planning and investment decisions.
10anysite-competitor-analyzer
Deep competitive intelligence combining web scraping, LinkedIn data, social media monitoring, leadership analysis, GitHub activity, Glassdoor sentiment, and community insights. Analyzes founders/C-level profiles, tracks real-time signals vs quarterly reports, and creates comprehensive competitor profiles. Use when asked to analyze competitors, research leadership teams, investigate market positioning, compare products/pricing, assess strategic threats, or gather intelligence on founders and key executives.
10anysite-brand-reputation
Monitor brand reputation and sentiment across Twitter/X, Reddit, Instagram, YouTube, and LinkedIn using anysite MCP server. Track brand mentions, analyze customer sentiment, monitor social conversations, identify reputation issues, and measure brand health. Supports social media listening, sentiment analysis, mention tracking, and crisis detection. Use when users need to monitor brand mentions, track customer sentiment, identify reputation risks, analyze brand perception, or measure social media presence and brand health across platforms.
7