Circulos AI

Marketing AI Skill

Social Listening Monitoring

Monitor brand mentions, competitor activity, industry trends, and sentiment across social platforms in real-time. Use when setting up social listening campaigns, tracking brand mentions, monitoring competitors on social media, analyzing sentiment, detecting social media crises, tracking share of voice, or measuring social media ROI. Triggers on phrases like "social listening", "brand monitoring", "mention tracking", "sentiment analysis", "social monitoring", "brand awareness tracking", "share of voice", "crisis detection", "social intelligence".

Social Listening & Monitoring

Track brand perception, competitor moves, and industry conversations at scale across all social platforms.

Workflow

  1. Define listening scope: brand names, competitor names, industry keywords, product names, executive names, and campaign hashtags.
  2. Configure monitoring platforms: set up social listening tools, define keyword queries, and configure alert thresholds.
  3. Establish sentiment analysis framework: define positive/negative/neutral classification rules and scoring model.
  4. Set up real-time monitoring: configure dashboards, alerts, and escalation protocols for urgent mentions.
  5. Aggregate and categorize mentions: daily/weekly review of volume, sentiment, themes, and influential voices.
  6. Identify trends and spikes: detect conversation shifts, emerging topics, and crisis indicators.
  7. Generate actionable insights: connect social data to business decisions, product improvements, and marketing strategy.
  8. Route responses: assign mentions to appropriate teams (social media, PR, customer support, product).
  9. Track share of voice: monitor brand vs. competitor conversation share over time.
  10. Report and optimize: weekly reports, monthly trend analysis, quarterly strategy reviews.

Listening Configuration

Keyword Matrix and Query Building

SOCIAL LISTENING KEYWORD MATRIX
==================================

CATEGORY 1: BRAND MENTIONS (Track All)
  → Exact brand name: "[BrandName]", "@BrandName"
  → Brand variations: "[Brand] company", "[Brand] product", "[Brand] app"
  → Common misspellings: "[MisspelledBrand]" (research from search data)
  → Abbreviations/nicknames: "[BrandABBR]" (if commonly used)
  → Product names: "[ProductName]", "[ProductName] [BrandName]"
  → Executive names: "[CEO Name] [BrandName]", "[CMO Name]"
  → Campaign hashtags: "#[CampaignHashtag]", "#[BrandCampaign]"
  → Negative variations: "[Brand] scam", "[Brand] complaint", "[Brand] bad",
     "[Brand] review", "[Brand] vs", "[Brand] alternative"
  → Volume estimate (small brand): 50-200 mentions/week
  → Volume estimate (medium brand): 500-2,000 mentions/week
  → Volume estimate (large brand): 2,000-20,000+ mentions/week

CATEGORY 2: COMPETITOR TRACKING
  → Competitor brand names (5-10 direct competitors)
  → Competitor product names and features
  → "Alternative to [Competitor]": captures comparison-intent mentions
  → "[Competitor] vs [YourBrand]": captures direct comparisons
  → "[Competitor] problems/complaints/switch": captures competitor pain points
  → Competitor campaign hashtags
  → Competitor executive names (for strategic moves)

CATEGORY 3: INDUSTRY TOPICS
  → Industry terminology and buzzwords (20-50 terms)
  → Customer pain points relevant to your solution
  → Emerging technologies and disruptions
  → Regulatory changes and compliance discussions
  → Key industry events, conferences, and publications
  → Job titles of your target audience (for persona targeting)

CATEGORY 4: CAMPAIGN TRACKING
  → Campaign-specific hashtags and keywords
  → Influencer mentions and partnership tracking
  → User-generated content hashtags
  → Event-specific keywords (for trade shows, conferences)

QUERY BUILDING BEST PRACTICES:
  → Use Boolean operators: AND, OR, NOT, NEAR()
  → Use exact match: "[phrase]" for precise tracking
  → Exclude noise: use NOT operator to filter irrelevant mentions
     Example: "email marketing" NOT "job" NOT "jobs" NOT "hiring"
  → Use proximity operators: NEAR(5,"keyword1","keyword2")
  → Group related terms: ("brand" OR "company" OR "app") AND "keyword"
  → Test queries: validate against sample mentions before full deployment
  → Maintain query library: document all queries and their purpose

Sentiment Analysis Framework

Multi-Level Sentiment Scoring

SENTIMENT ANALYSIS MODEL
==========================

SENTIMENT CLASSIFICATION (5-Tier Model):
  POSITIVE (+1.0): Enthusiastic praise, recommendations, appreciation
    Indicators: love, amazing, fantastic, recommend, excellent, best,
      life-changing, "worth every penny", "game-changer", five stars
    Example: "Just switched to @Brand and I love it! Customer support is
    incredible and the product does exactly what they promised."

  LEANING POSITIVE (+0.5): Mild praise, satisfaction, neutral-positive
    Indicators: good, nice, works well, satisfied, helpful, decent,
      "pretty good", "doing the job", "like it"
    Example: "Been using @Brand for a few months. It's pretty solid and
    helps with our workflow."

  NEUTRAL (0.0): Informational, factual, no emotional valence
    Indicators: "does anyone know", "looking for", "how does", "what is"
    Example: "Has anyone compared @Brand with @Competitor? Looking for
    feedback on features."

  LEANING NEGATIVE (-0.5): Mild complaints, concerns, disappointment
    Indicators: could be better, slow, disappointing, issues, problems,
      "not great", "wish it had", "lacks", "hopes they fix"
    Example: "@Brand's new update could be better. The interface feels
    cluttered and some features are harder to find."

  NEGATIVE (-1.0): Strong complaints, anger, warnings, reports of harm
    Indicators: terrible, worst, scam, broken, fraud, lost money, hacked,
      phishing, "avoid this", "waste of money", "do not buy"
    Example: "@Brand charged me without permission and their support
    won't respond. Do not trust this company."

URGENT/Negative Severity Scoring:
  Level 1 (Standard complaint): General dissatisfaction, feature request
    Response time: 24 hours | Owner: Social media team
  Level 2 (Serious complaint): Service failure, billing issue, poor support experience
    Response time: 4 hours | Owner: Customer support + social media
  Level 3 (Crisis indicator): Data breach allegation, fraud claim, public complaint
    Response time: 1 hour | Owner: PR + legal + executive team
  Level 4 (Active crisis): Viral negative content, media pickup, regulatory mention
    Response time: 15 minutes | Owner: Crisis team (CEO + legal + PR + comms)

AUTOMATED SENTIMENT DETECTION RULES:
  → Use NLP-based sentiment analysis (tool-level: Brandwatch, Sprout Social, Talkwalker)
  → Manual review for: mentions with 100+ engagements (high-visibility)
  → Escalation triggers:
     - Negative sentiment score < -0.5 with 50+ engagements: auto-escalate
     - Keywords "fraud", "scam", "lawsuit", "data breach": immediate alert
     - Influencer/post with >100K followers: priority handling
     - Same complaint from 3+ users within 24 hours: pattern detection alert

DAILY SENTIMENT DASHBOARD:
  Total mentions today: ___
    Positive: ___% (___ mentions)
    Neutral: ___% (___ mentions)
    Negative: ___% (___ mentions)
  Overall sentiment score: +0.__ / -0.__
  Sentiment trend (vs. yesterday): ▲ improving / ▼ declining / → stable
  Top positive themes: [theme 1], [theme 2], [theme 3]
  Top negative themes: [theme 1], [theme 2], [theme 3]
  Unresolved negative mentions: ___ (age: ___ hours)

Share of Voice Tracking

Competitive SOV Analysis

SHARE OF VOICE (SOV) ANALYSIS FRAMEWORK
=========================================

DEFINITION: Your brand's share of total conversations in your industry/market category.

SOV CALCULATION:
  Your brand mentions ÷ Total category mentions × 100 = SOV %

  Where "total category mentions" = all mentions containing category-relevant keywords
  (not just your brand and direct competitors — the entire conversation)

TRACKING CONFIGURATION:
  → Category keyword list: 20-50 broad industry/category keywords
     Example for SaaS CRM: "CRM software", "customer relationship management",
     "sales pipeline tool", "contact management", "lead tracking software"
  → Competitor list: 5-10 direct competitors by name
  → Measurement period: Weekly snapshots, monthly/quarterly reporting
  → Platform coverage: Twitter, LinkedIn, Facebook, Reddit, industry forums, review sites

SOV DASHBOARD:
  ┌──────────────────────┬───────────┬─────────┬──────────┬───────────┐
  │ Brand                │ Mentions  │ SOV %   │ Trend    │ Sentiment │
  ├──────────────────────┼───────────┼─────────┼──────────┼───────────┤
  │ Your Brand           │ ___       │ ___%    │ ▲/▼/→   │ +0.__     │
  │ Competitor A         │ ___       │ ___%    │ ▲/▼/→   │ +0.__     │
  │ Competitor B         │ ___       │ ___%    │ ▲/▼/→   │ +0.__     │
  │ Competitor C         │ ___       │ ___%    │ ▲/▼/→   │ +0.__     │
  │ Competitor D         │ ___       │ ___%    │ ▲/▼/→   │ +0.__     │
  │ Others/Unattributed  │ ___       │ ___%    │ ▲/▼/→   │ ___       │
  │ ── TOTAL ──          │ ___       │ 100%    │          │           │
  └──────────────────────┴───────────┴─────────┴──────────┴───────────┘

SOV TARGETS BY BRAND POSITION:
  Market leader: 25-40% of conversations
  Top 3 competitor: 15-25% of conversations
  Growing challenger: 5-15% of conversations
  New entrant: 1-5% (growth target: 5%+ within 12 months)

SOV IMPROVEMENT TACTICS:
  1. Content amplification: increase content output on high-SOV platforms
  2. Engagement strategy: actively participate in industry conversations
  3. Influencer partnerships: collaborate with industry influencers for reach
  4. Campaign-specific hashtags: launch unique, memorable campaign tags
  5. Rapid response: respond to mentions quickly (increases conversation depth)
  6. Competitive comparison content: create "vs" content targeting competitor keywords
  7. Review management: encourage satisfied customers to leave reviews (review sites count in SOV)
  8. PR and media mentions: press releases, expert commentary, thought leadership

SOV INSIGHTS REPORTING:
  Monthly SOV report includes:
  → SOV trend (12-month rolling chart)
  → SOV by platform (Twitter, LinkedIn, Reddit, etc.)
  → SOV by topic/theme (product, brand, industry, competitive)
  → Correlation analysis: SOV vs. website traffic, leads, revenue
  → Competitive wins: instances where you gained SOV from competitors
  → Strategic recommendations for SOV improvement

Crisis Detection & Response Protocol

SOCIAL MEDIA CRISIS DETECTION AND RESPONSE
============================================

CRISIS SEVERITY CLASSIFICATION:

  LEVEL 1 — LOW (Monitor):
    Indicators:
    → Negative mentions on single platform
    → Limited reach (< 100 engagements per negative post)
    → Isolated incident (1-2 similar mentions)
    Response:
    → Response time: 2-4 hours
    → Team: Social media manager
    → Actions:
      - Acknowledge and respond publicly
      - Move conversation to private (DM, email, phone)
      - Document incident and resolution
      - Update social listening filters if new pattern emerges
    Resolution target: 24 hours

  LEVEL 2 — MEDIUM (Alert):
    Indicators:
    → Negative mentions across 2+ platforms
    → Growing engagement (100-1,000 engagements per post)
    → Multiple similar complaints (3-10 within 24 hours)
    → Blog/media mention (not mainstream)
    Response:
    → Response time: 1 hour
    → Team: Social media + PR + customer support + management
    → Actions:
      - Draft public response statement
      - Internal assessment: scope, impact, root cause
      - Escalate to appropriate internal teams
      - Increase monitoring frequency (hourly checks)
      - Prepare holding statement if escalation likely
    Resolution target: 4-8 hours

  LEVEL 3 — HIGH (Escalate):
    Indicators:
    → Viral negative content (> 1,000 engagements)
    → Mainstream media pickup (major news outlets)
    → Customer outrage or organized complaints (Twitter storm, Reddit thread)
    → Regulatory body mention or inquiry
    Response:
    → Response time: 30 minutes
    → Team: Crisis team (CEO, legal, PR, marketing, customer support)
    → Actions:
      - Publish holding statement on primary platforms
      - Prepare press release (coordinate with PR team)
      - Prepare executive statement (CEO video or written)
      - Brief customer support team with FAQ
      - Pause all scheduled marketing content
      - Set up dedicated monitoring war room
      - Legal review of all public statements
    Resolution target: 24-48 hours

  LEVEL 4 — CRITICAL (Full Crisis):
    Indicators:
    → Active boycott or organized movement
    → Regulatory investigation or legal action
    → Major data breach or security incident
    → CEO/executive scandal
    Response:
    → Response time: 15 minutes
    → Team: Executive crisis team + legal counsel + external PR firm
    → Actions:
      - Immediate public statement (transparent, accountable)
      - Consider pausing all marketing and promotional activity
      - Engage external crisis PR firm if needed
      - Prepare for media interviews and press conferences
      - Legal counsel reviews all communications
      - Customer notification plan (if data breach)
      - Continuous monitoring (real-time alerts)
    Resolution target: 1-7 days (depending on severity)

CRISIS RESPONSE CHECKLIST:
  [ ] Internal assessment complete (scope, impact, root cause identified)
  [ ] All stakeholders notified (executives, legal, PR, customer support)
  [ ] Public response drafted, reviewed, and approved
  [ ] Response published on all affected platforms
  [ ] Social listening increased to hourly/real-time monitoring
  [ ] Customer support team briefed with FAQ and talking points
  [ ] Media monitoring active (newspapers, TV, radio, online news)
  [ ] Internal communications sent (employees briefed)
  [ ] Recovery plan drafted (how to rebuild trust and reputation)
  [ ] Post-crisis analysis scheduled (within 7-14 days of resolution)

CRISIS RECOVERY METRICS (tracked post-crisis):
  → Sentiment recovery timeline: days/weeks to return to baseline
  → Mention volume normalization: return to pre-crisis levels
  → Share of voice recovery: SOV return to pre-crisis level
  → Customer retention: churn rate during and after crisis
  → Revenue impact: sales/revenue decline during crisis period
  → Brand health tracking: brand awareness and perception post-crisis

Reporting & Insights

Regular Reporting Framework

WEEKLY SOCIAL LISTENING REPORT
================================

1. EXECUTIVE SUMMARY (3-5 bullet points):
   → Key sentiment shifts vs. prior week
   → Major conversation themes and trends
   → Competitive insights and notable competitor activity
   → Actionable recommendations

2. VOLUME OVERVIEW:
   → Total mentions: ___ (vs. prior week: ▲/▼ ___%)
   → By platform: Twitter ___%, LinkedIn ___%, Reddit ___%, Other ___%
   → Peak mention day: [day] at [time]
   → Top 5 mentioned topics: [list with mention counts]
   → New keywords discovered: ___

3. SENTIMENT BREAKDOWN:
   → Overall sentiment score: __ (prior week: __)
   → Positive: ___% | Neutral: ___% | Negative: ___%
   → Sentiment trend: ▲ improving / ▼ declining / → stable
   → Top positive themes: [theme 1 with count], [theme 2], [theme 3]
   → Top negative themes: [theme 1 with count], [theme 2], [theme 3]
   → Notable sentiment shifts: [describe any significant changes]

4. SHARE OF VOICE:
   → Your brand SOV: ___% (prior week: ___%)
   → Top competitor SOV: [Competitor] ___%
   → SOV trend: ▲ gaining / ▼ losing / → stable
   → Competitive wins: [specific instances where brand gained ground]

5. INFLUENCER & ADVOCATE TRACKING:
   → Top brand advocates by engagement: [name, platform, engagements]
   → New influencer relationships identified: [name, audience size, topic]
   → Influencer campaign performance: [campaign name, reach, engagement]
   → Negative influencer mentions: [name, issue, status]

6. UNRESOLVED MENTIONS:
   → Total pending responses: ___
   → High-priority (100+ engagements): ___
   → Age of oldest unresolved mention: ___ hours
   → Trending complaints requiring escalation: [list]

7. ACTION ITEMS:
   → Immediate (this week): [list specific actions with owners]
   → Short-term (next 2 weeks): [list actions]
   → Strategic (next quarter): [list actions]

MONTHLY TREND REPORT (additional sections):
  → 30-day sentiment trend analysis (chart)
  → SOV trend analysis (chart, 12-month rolling)
  → Top performing content by social engagement
  → Competitive landscape changes (new competitors, market shifts)
  → Industry trend analysis (emerging topics, technology shifts)
  → ROI analysis: social listening impact on business metrics

QUARTERLY STRATEGIC REPORT:
  → Full conversation landscape analysis
  → Brand perception trends (12-month)
  → Competitive positioning analysis
  → Content strategy recommendations based on conversation data
  → Crisis risk assessment
  → Budget and tool recommendations

Edge Cases

Integration Points

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