AI-powered LinkedIn engagement tool that automates comments and grows your network
Football fan sentiment analysis tool for understanding what fans really think
Stage
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Founded
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Based in
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GB
Pricing model
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Freemium
Pricing
Starter: $0/forever with 100 AI comments/month, 5 following profiles, Gemini Flash model, and basic LinkedIn analytics. Pro: $39/month with unlimited AI comments, 20 following profiles, 3 keyword campaigns, 60 keyword engagements/day, and Claude Sonnet & Gemini Pro. Plus: $59/month with everything i
Free plan available; paid plans: Scout £5/month, ITK £15/month, Hear We Go £49.99/month, The Special One £149.99/month. The Boardroom custom pricing. Custom reports from £149.
Key features
AI-generated personalized comments on LinkedIn posts
Keyword-based post discovery and engagement
Profile-specific automatic engagement
Custom AI prompts for comment tone and style
Adjustable comment length options
Multiple AI model selection
Real-time engagement analytics and metrics
Company profile engagement targeting
Geo-targeting feature
7-day free trial with Pro plan access
Real-time alerts from social media conversations
Monitor up to 25 custom keywords
Identifies 28 distinct emotion types
Fanbase filtering and club identification
Analyzed reports with talking points and narratives
Covers all 37 Premier League topics and players
Instant match reactions in 15-30 minutes
Evidence-grade records with timestamps and sources
Custom report voice for different audiences
Weekly free newsletter with fan insights
What makes it different
Authentic AI-generated comments that sound natural and match your personal voice
Save hours of daily manual LinkedIn engagement
Significant growth results: 20-40 new followers per day and 3-7x increase in profile visits
Full control over AI behavior with customizable prompts and settings
Safety designed for LinkedIn with natural engagement patterns and rate limiting
Listens to all fans, not just the loudest voices
Data-driven insights from millions of real conversations
Proactive trend alerts before stories spread widely
Full context with 28 emotion types and topic categorization
Eliminates spam, bots and identifies fan allegiances