Social media monitor

Social Media Monitor

Tracks and analyzes brand mentions, hashtags, keywords, and competitor activity across social media platforms — surfacing engagement metrics, sentiment trends, emerging conversations, and actionable insights for brand management and marketing strategy.

When to Use

• User wants to track how their brand, product, or campaign is being discussed online
• A hashtag or keyword campaign needs performance monitoring
• Competitive intelligence is needed on a competitor's social presence
• A PR crisis or negative sentiment spike needs to be detected early
• User asks to measure the impact of a launch, announcement, or campaign on social
• Influencer or community conversations around a topic need to be tracked
• Monthly or weekly social performance reports are needed

Process

1. Define monitoring parameters:

   • Entities to track: brand names, product names, competitor names, campaign hashtags, executive names, industry keywords
   • Platforms: specify which platforms to cover (Twitter/X, LinkedIn, Reddit, Instagram, TikTok, Facebook, YouTube comments, forums)
   • Time window: real-time, last 24 hours, last 7 days, last 30 days, or custom range
   • Languages and geographies: global or targeted by region/language
   • Exclusions: suppress noise (unrelated uses of a common word, competitor's brand terms that appear in complaints against you)

2. Collect mentions and data:

   • Query platform APIs or search interfaces for each tracked entity
   • Capture: post URL, platform, author/handle, follower count, post text, media type, timestamp, engagement metrics (likes, shares, comments, views)
   • Deduplicate cross-posted content (same text across multiple platforms)
   • Filter: remove spam, bot-generated content, and irrelevant matches using signal patterns

3. Analyze volume and trends:

   • Total mention count by platform, day, and keyword
   • Volume trend: is mention rate increasing, decreasing, or stable vs. prior period?
   • Spike detection: flag hours/days where mention volume exceeds 2× the rolling 7-day average
   • Reach: estimated total impressions (mentions × average follower count of authors)

4. Sentiment analysis:

   • Apply document-level sentiment to each mention (Positive / Negative / Neutral / Mixed)
   • Compute sentiment ratio: % positive vs. % negative
   • Track sentiment trend over time — is brand perception improving or declining?
   • Surface the most positive and most negative posts for manual review

5. Identify emerging themes:

   • Cluster mentions by topic/theme using keyword co-occurrence and semantic grouping
   • Surface top themes discussed alongside the tracked entity (e.g., "pricing", "customer support", "new feature")
   • Identify newly emerging themes that weren't present in the prior reporting period

6. Competitive benchmarking (when requested):

   • Compare share of voice: your brand's mention volume vs. competitors
   • Compare sentiment: positive sentiment ratio vs. competitor baseline
   • Surface gaps: topics where competitors are praised that you are not mentioned

7. Influencer and author analysis:

   • Identify top authors by reach (follower count × engagement rate)
   • Flag verified accounts, journalists, or high-follower influencers posting about the brand
   • Detect repeated critics or brand advocates

8. Alert generation:

   • Flag posts requiring urgent response: negative high-reach posts, potential crises, viral negative threads
   • Prioritize by: reach (high follower authors first), sentiment (strongly negative), engagement velocity (rapidly accumulating likes/shares)

Output Format

## Social Media Monitoring Report
**Brand:** Acme Corp | **Period:** June 1–7, 2025 | **Platforms:** Twitter/X, LinkedIn, Reddit

### Volume Summary
Total Mentions: 4,821 (+18% vs prior week)
Estimated Reach: 12.3M impressions

| Platform   | Mentions | Change | Sentiment (Pos/Neg/Neu) |
|------------|----------|--------|--------------------------|
| Twitter/X  | 3,102    | +22%   | 61% / 23% / 16%          |
| LinkedIn   | 891      | +8%    | 74% / 10% / 16%          |
| Reddit     | 828      | +14%   | 48% / 38% / 14%          |

### Sentiment Trend
Positive ratio: 63% (up from 57% last week) ✅
Negative ratio: 22% (down from 28% last week) ✅

### Top Themes Mentioned
1. New product launch "ProMax" — 1,841 mentions (38%) · Sentiment: Positive
2. Pricing concerns — 612 mentions (13%) · Sentiment: Negative
3. Customer support — 498 mentions (10%) · Sentiment: Mixed

### Spike Alert 🚨
June 4, 2:00–4:00 PM: 340 mentions in 2 hours (5× normal rate)
Trigger: Viral Twitter/X thread by @techreviewer (280K followers) comparing Acme to competitors.
Sentiment of spike: 55% Positive (product praise)

### Urgent Posts Requiring Response
1. @frustrated_user (12K followers): "Acme's support has been unresponsive for 2 weeks. Escalating publicly." [Negative, 847 engagements]
2. Reddit r/tech: Thread "Is Acme worth it in 2025?" — top upvoted comment is negative [412 upvotes]

### Top Positive Posts
- @happycustomer: "Just switched to Acme ProMax and honestly blown away. 10/10." [3.2K likes]

### Competitor Benchmark
Share of Voice: Acme 34% · Competitor A 41% · Competitor B 25%
Acme sentiment vs. Competitor A: 63% positive vs. 58% positive ✅

Examples

Example Input

Monitor Twitter/X and Reddit for mentions of "Acme Corp" over the past 7 days. Tell me sentiment breakdown and flag any posts that need urgent response.

Example Output

Monitoring complete. 4,821 mentions found across Twitter/X and Reddit (June 1–7).

Sentiment: 63% Positive · 22% Negative · 15% Neutral
Trend: Improving — negative ratio dropped from 28% to 22% vs. last week.

🚨 2 posts flagged for urgent response:
1. @frustrated_user (12K followers) — public support complaint, 847 engagements
2. Reddit thread — top negative comment gaining traction (412 upvotes)

Top trending theme: "ProMax" launch driving the volume spike on June 4.

Boundaries

• Do NOT access private or direct messages — only analyze publicly available content.
• Respect platform API rate limits and terms of service; do NOT scrape at rates that violate platform policies.
• Do NOT publish, share, or quote individual users' posts without consent in any public-facing output.
• Sentiment classifications are probabilistic estimates — flag low-confidence results rather than presenting them as definitive.
• Do NOT use monitored data to target or harass specific individuals; surface posts for brand response only.
• Flag when monitored keywords are common words that may produce false positives (e.g., brand name = common English word).