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Social Media Sentiment Tracker

This AI social media analyst agent task monitors and analyses brand presence across social platforms. The task configuration outlines how to:

  • Process multi-platform social media data streams

  • Evaluate sentiment patterns and emotional context

  • Track topic emergence and hashtag popularity

  • Identify influential voices and advocacy signals

  • Generate real-time brand perception insights


As a modular task, it integrates with social media management and analytics platforms, enabling AI agents to execute comprehensive social listening within existing brand monitoring workflows. The task specification includes outputs for sentiment tracking, trend analysis, and crisis detection, adaptable across various industries and social channels. The system's capability to process large-scale social data whilst maintaining contextual accuracy makes it particularly valuable for strategic brand management and responsive customer engagement.

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Example outputs:

{
  "overall_sentiment": "Positive",
  "sentiment_breakdown": "{\"positive\": \"65%\", \"neutral\": \"25%\", \"negative\": \"10%\"}",
  "trending_topics": [
    "#NewProductLaunch",
    "#CustomerAppreciation",
    "#SustainabilityInitiative",
    "#BrandChallenge"
  ],
  "key_phrases": [
    "great customer service",
    "love the new features",
    "eco-friendly packaging",
    "quick delivery",
    "responsive support team"
  ],
  "sentiment_drivers": [
    "Successful launch of new product line",
    "Positive customer service experiences",
    "Appreciation for sustainability efforts",
    "Excitement around social media challenge"
  ],
  "potential_issues": [
    "Some complaints about website loading speed",
    "Isolated mentions of delayed shipping to rural areas",
    "Questions about product availability in certain regions"
  ],
  "influencer_mentions": "{\"@TechGuru\": \"positive\", \"@LifestyleBlogger\": \"very positive\", \"@IndustryAnalyst\": \"neutral\"}",
  "competitor_comparison": "{\"BrandX\": \"slightly more positive\", \"BrandY\": \"significantly more positive\", \"BrandZ\": \"similar sentiment\"}",
  "recommended_actions": [
    "Leverage positive sentiment around new product launch in marketing campaigns",
    "Address website speed issues to improve user experience",
    "Expand on sustainability narrative in upcoming communications",
    "Reach out to neutral influencers with additional product information",
    "Investigate and resolve shipping delays to rural areas"
  ],
  "sentiment_trend": "Overall sentiment has improved by 15% over the past month, with a notable spike following the new product launch and sustainability announcement."

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Personalised Product Recommendation

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