Reputation Social

Social Media Reputation Scan

Skill Purpose

Perform a comprehensive scan of a business's social media reputation by searching across Twitter/X, LinkedIn, Facebook, Reddit, Instagram, TikTok, and industry forums. This skill uses WebSearch to find mentions, analyze sentiment, identify brand advocates and detractors, and surface trending conversations about the brand. The output is a complete social reputation snapshot.

When to Use

• User wants to understand how their brand is perceived on social media
• User asks about social media mentions, brand sentiment, or online discussions
• User wants to find brand advocates, detractors, or influencers talking about them
• User needs to assess social reputation before a campaign, launch, or crisis response
• Triggered by /reputation social <business name or url>

How to Execute

Step 1: Identify the Business and Search Parameters

If a URL is provided, use WebSearch to determine the business name, industry, and key details from the website. If a business name is provided directly, proceed with that.

Establish search identity:

Step 2: Platform-by-Platform Search

Execute WebSearch queries for each platform. Run searches in parallel where possible.

Twitter/X Searches:

Search 1: "[Business Name]" site:twitter.com OR site:x.com
Search 2: "[Business Name]" (complaint OR terrible OR love OR amazing) site:twitter.com
Search 3: "@[handle]" (review OR recommend OR avoid OR issue)
Search 4: "[Business Name]" -from:[official_handle] site:twitter.com (exclude own posts)
Search 5: "[Product Name]" site:twitter.com

Analysis points for Twitter/X:

• Volume of mentions (high/medium/low activity)
• Sentiment ratio of recent mentions
• Retweet/engagement levels on brand-related tweets
• Common complaints and common praise
• Influencer mentions (accounts with 10K+ followers)
• Customer service interactions (response presence, tone, speed)
• Trending topics or viral moments involving the brand

LinkedIn Searches:

Search 1: "[Business Name]" site:linkedin.com
Search 2: "[Business Name]" review OR experience site:linkedin.com
Search 3: "[CEO/Founder Name]" "[Business Name]" site:linkedin.com
Search 4: "[Business Name]" company culture OR working at site:linkedin.com
Search 5: "[Business Name]" partnership OR collaboration site:linkedin.com

Analysis points for LinkedIn:

• Company page engagement (comments, shares on posts)
• Employee advocacy (do employees share/promote the brand?)
• Thought leadership presence (articles, posts by leadership)
• Client testimonials and recommendations
• Job posting sentiment and employer brand signals
• Industry recognition and award mentions

Facebook Searches:

Search 1: "[Business Name]" site:facebook.com
Search 2: "[Business Name]" review OR complaint OR recommend site:facebook.com
Search 3: "[Business Name]" group discussion (for Facebook group mentions)

Analysis points for Facebook:

• Page rating and review count
• Community engagement (comments, reactions on posts)
• Customer complaints in comments
• Facebook Group discussions about the brand
• User-generated content and photo tags
• Recommendation posts

Reddit Searches:

Search 1: "[Business Name]" site:reddit.com
Search 2: "[Business Name]" review OR worth it OR avoid OR scam site:reddit.com
Search 3: "[Business Name]" vs OR alternative OR competitor site:reddit.com
Search 4: "[Product Name]" site:reddit.com
Search 5: "[Business Name]" experience OR honest review site:reddit.com

Analysis points for Reddit:

• Subreddits where the brand is discussed
• Thread sentiment (upvote/downvote patterns on brand-related comments)
• Common questions people ask about the brand
• Comparison threads (brand vs competitors)
• Employee or insider perspectives
• Unfiltered customer experiences
• Whether the brand has an official Reddit presence

Instagram Searches:

Search 1: "[Business Name]" site:instagram.com
Search 2: #[BusinessName] site:instagram.com
Search 3: #[BrandedHashtag] site:instagram.com
Search 4: "[Business Name]" tagged OR mention site:instagram.com

Analysis points for Instagram:

• Branded hashtag usage volume
• User-generated content quality and quantity
• Influencer partnerships and mentions
• Story mentions and tags
• Comment sentiment on official posts
• Competitor visual positioning comparison

TikTok Searches:

Search 1: "[Business Name]" site:tiktok.com
Search 2: "[Business Name]" review OR honest OR worth it site:tiktok.com
Search 3: #[BusinessName] site:tiktok.com

Analysis points for TikTok:

• Video content about the brand (reviews, unboxings, complaints)
• Viral moments (any videos with significant views)
• Trend participation (is the brand part of any TikTok trends)
• Comment section sentiment on brand-related videos
• Creator/influencer content about the brand

Industry Forums and Communities:

Search 1: "[Business Name]" forum OR community OR discussion
Search 2: "[Business Name]" review (site:quora.com OR site:producthunt.com OR site:trustpilot.com)
Search 3: "[Business Name]" [industry-specific forum domain]

Industry-specific forum targets:

• SaaS: Product Hunt, Hacker News, IndieHackers, SaaStr community
• Restaurant: Chowhound, local food blogs, OpenTable community
• Healthcare: patient forums, WebMD community, health subreddits
• Real estate: BiggerPockets, local real estate forums
• E-commerce: seller forums, product review communities

Step 3: Sentiment Analysis

For each mention found, categorize the sentiment.

Sentiment Classification Framework:

Sentiment Summary Calculation:

Total Mentions Found: [N]
Strongly Positive: [n] ([%])
Positive:          [n] ([%])
Neutral:           [n] ([%])
Negative:          [n] ([%])
Strongly Negative: [n] ([%])

Sentiment Score: (sum of weighted mentions) / total mentions
Range: -2.0 (catastrophic) to +2.0 (exceptional)

Interpretation:
  +1.5 to +2.0: Exceptional social reputation
  +1.0 to +1.4: Strong positive reputation
  +0.5 to +0.9: Generally positive, some concerns
   0.0 to +0.4: Mixed reputation, needs attention
  -0.5 to -0.1: Leaning negative, action required
  -1.0 to -0.6: Significant reputation problems
  -2.0 to -1.1: Reputation crisis

Step 4: Brand Advocates and Detractors

Identifying Brand Advocates:

Look for individuals who:

• Repeatedly mention the brand positively (3+ positive mentions)
• Recommend the brand unprompted to others
• Create user-generated content featuring the brand
• Defend the brand in negative threads
• Have significant audience reach (follower count)

Advocate Profile Template:

Handle/Name: [@username or Name]
Platform: [where they're most active]
Reach: [follower count / influence level]
Advocacy Type: [Organic fan / Power user / Industry influencer / Employee advocate]
Notable Mention: [Quote or summary of their strongest endorsement]
Engagement Opportunity: [How the brand could engage or thank them]

Identifying Brand Detractors:

Look for individuals who:

• Repeatedly post negative content about the brand
• Actively discourage others from using the brand
• Create negative review content or complaint threads
• Have significant reach that amplifies negative sentiment
• Respond to brand posts with criticism

Detractor Profile Template:

Handle/Name: [@username or Name]
Platform: [where they're most active]
Reach: [follower count / influence level]
Complaint Type: [Service issue / Product defect / Pricing / Support / Personal grudge]
Core Grievance: [Summary of their main complaint]
Frequency: [One-time vent / Recurring / Campaign against brand]
Resolution Potential: [High -- addressable issue / Medium -- complex / Low -- unreasonable]
Recommended Action: [Direct outreach / Public response / Monitor only / Ignore]

Step 5: Trending Conversations

Identify any active or recent conversations trending about the brand.

What qualifies as "trending":

• Any single post/thread with 50+ engagements (likes, comments, shares)
• Multiple people discussing the same topic about the brand within 7 days
• A mention from a high-profile account (100K+ followers)
• A Reddit thread with 20+ upvotes about the brand
• Any news article that is generating social discussion
• A TikTok video about the brand with 10K+ views

Trending Conversation Template:

Topic: [What is being discussed]
Platform: [Where it started / where it's most active]
Started: [Date/timeframe]
Scale: [Engagement numbers]
Sentiment: [Positive / Negative / Mixed]
Key Participants: [Notable accounts involved]
Current Status: [Growing / Stable / Declining]
Brand Response: [Has responded / Has not responded / N/A]
Recommended Action: [What to do about it]

Step 6: Competitive Social Comparison

If the business type is clear, briefly compare social reputation signals against 2-3 competitors.

Comparison Points:

Step 7: Risk Assessment

Identify potential reputation risks based on the social scan.

Risk Categories:

Step 8: Recommendations

Based on the scan findings, generate prioritized recommendations.

Recommendation Categories:

1. Immediate Actions (this week)

   • Respond to unanswered complaints or mentions
   • Address any active negative threads
   • Thank and engage with brand advocates

2. Short-term Improvements (this month)

   • Improve response time on social platforms
   • Develop response templates for common complaints
   • Engage with identified advocates

3. Strategic Initiatives (this quarter)

   • Build social listening infrastructure
   • Develop user-generated content program
   • Launch advocate recognition program
   • Create proactive positive content strategy

Output Format

Generate a file called SOCIAL-REPUTATION-[business-name].md:

# Social Media Reputation Scan
## [Business Name]
### Scan Date: [Date]

---

## Executive Summary
[3-5 sentence overview: overall social sentiment, key findings, biggest risk, biggest opportunity]

---

## Social Reputation Score: [X/100]

| Category | Score | Weight |
|---|---|---|
| Mention Volume | [X/100] | 15% |
| Sentiment Ratio | [X/100] | 30% |
| Advocate Strength | [X/100] | 15% |
| Response Presence | [X/100] | 15% |
| Competitive Position | [X/100] | 10% |
| Risk Level | [X/100] | 15% |

---

## Sentiment Analysis

**Overall Sentiment Score: [X] / 2.0**

| Sentiment | Count | Percentage |
|---|---|---|
| Strongly Positive | [n] | [%] |
| Positive | [n] | [%] |
| Neutral | [n] | [%] |
| Negative | [n] | [%] |
| Strongly Negative | [n] | [%] |

---

## Platform-by-Platform Analysis

### Twitter/X
- **Mention Volume:** [High/Medium/Low]
- **Sentiment:** [Summary]
- **Key Findings:** [Bullet points]
- **Notable Mentions:** [Specific examples]

### LinkedIn
[Same structure]

### Facebook
[Same structure]

### Reddit
[Same structure]

### Instagram
[Same structure]

### TikTok
[Same structure]

### Industry Forums
[Same structure]

---

## Brand Advocates
[Advocate profiles -- top 5-10]

## Brand Detractors
[Detractor profiles -- top 3-5, with recommended actions]

---

## Trending Conversations
[Active or recent trending discussions]

---

## Competitive Social Comparison
[Comparison table against 2-3 competitors]

---

## Risk Assessment
| Risk | Level | Platform | Details | Recommended Action |
|---|---|---|---|---|
| [risk] | [Critical/High/Medium/Low] | [platform] | [details] | [action] |

---

## Top Themes

### What People Love
1. [Theme with evidence]
2. [Theme with evidence]
3. [Theme with evidence]

### What People Complain About
1. [Theme with evidence]
2. [Theme with evidence]
3. [Theme with evidence]

---

## Recommendations

### Immediate (This Week)
1. [Action item]

### Short-Term (This Month)
1. [Action item]

### Strategic (This Quarter)
1. [Action item]

---

## Monitoring Recommendations
[Suggested ongoing monitoring approach based on findings]

Terminal Output

Display a condensed summary:

=== SOCIAL MEDIA REPUTATION SCAN COMPLETE ===

Business: [name]
Scan Date: [date]

Social Reputation Score: [X]/100

Sentiment Breakdown:
  Positive:  [X]% ([n] mentions)
  Neutral:   [X]% ([n] mentions)
  Negative:  [X]% ([n] mentions)

Platform Activity:
  Twitter/X:     [High/Med/Low] activity, [sentiment]
  LinkedIn:      [High/Med/Low] activity, [sentiment]
  Facebook:      [High/Med/Low] activity, [sentiment]
  Reddit:        [High/Med/Low] activity, [sentiment]
  Instagram:     [High/Med/Low] activity, [sentiment]
  TikTok:        [High/Med/Low] activity, [sentiment]

Key Findings:
  Brand Advocates:   [N] identified
  Brand Detractors:  [N] identified
  Trending Topics:   [N] active conversations
  Risk Level:        [Critical/High/Medium/Low]

Top Praise Theme:    [theme]
Top Complaint Theme: [theme]

Full report saved to: SOCIAL-REPUTATION-[business-name].md

Key Principles

• WebSearch results are a proxy for actual social media API data. Acknowledge this limitation in the report. Results represent what is publicly indexed, not the complete universe of mentions.
• Quality of analysis matters more than quantity of mentions found. Five deeply analyzed mentions are more valuable than fifty superficially listed ones.
• Always distinguish between organic mentions and paid/promotional content. Influencer sponsored posts are not the same as genuine customer sentiment.
• Reddit is the most unfiltered platform for honest opinions. Weight Reddit findings heavily in the overall assessment, but note that Reddit skews younger and more tech-savvy.
• Never fabricate mention counts or sentiment scores. If search results are limited, report what was found honestly and note the limitations.
• Competitor comparison provides critical context. A business with 80% positive sentiment sounds great until you learn competitors are at 95%.
• Detractor analysis should be empathetic, not adversarial. Most detractors have a legitimate grievance. The goal is resolution, not dismissal.
• The social scan is a point-in-time snapshot. Recommend ongoing monitoring (see /reputation alerts) for continuous tracking.