# Reputation Social > Social Media Reputation Scan - Skill: `zubair-trabzada/reputation-social` (Agent Skill) - Install (CLI): `npx skillmds@latest add zubair-trabzada/reputation-social` - Raw SKILL.md: https://api.skillmd.com/api/skills/zubair-trabzada/reputation-social/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: zubair-trabzada (https://skillmd.com/u/zubair-trabzada) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/zubair-trabzada/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 ` ## 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:** | Parameter | How to Determine | Example | |---|---|---| | Business name (exact) | User input or website title | "Acme Solutions" | | Business name (variations) | Abbreviations, nicknames, common references | "Acme", "AcmeSolutions", "@acmesolutions" | | Social handles | Search for official accounts | @acme on Twitter, /acmesolutions on LinkedIn | | Branded hashtags | Search for #BusinessName variations | #AcmeSolutions, #AcmeLife | | Products/services | Key offerings that people discuss | "Acme CRM", "Acme Pro Plan" | | Key personnel | CEO, founders, public figures | "Jane Smith CEO Acme" | | Industry context | What category discussions happen in | SaaS, marketing tools, CRM | ### 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 | Indicators | Weight | |---|---|---| | Strongly Positive | "love", "amazing", "best", "life-changing", "highly recommend", enthusiastic language, multiple exclamation points, personal endorsement | +2 | | Positive | "good", "nice", "solid", "recommend", "happy", satisfied tone, practical endorsement | +1 | | Neutral | Factual mention without opinion, informational reference, news coverage without angle | 0 | | Negative | "disappointed", "frustrated", "issues", "problems", "not great", "could be better", complaint without hostility | -1 | | Strongly Negative | "terrible", "worst", "scam", "avoid", "never again", "rip off", hostile language, public complaint with evidence, legal threats | -2 | **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:** | Metric | [Business] | Competitor A | Competitor B | |---|---|---|---| | Twitter followers | [N] | [N] | [N] | | Twitter mention sentiment | [+/-] | [+/-] | [+/-] | | LinkedIn followers | [N] | [N] | [N] | | Instagram followers | [N] | [N] | [N] | | Reddit mention volume | [High/Med/Low] | [High/Med/Low] | [High/Med/Low] | | Reddit sentiment | [+/-] | [+/-] | [+/-] | | TikTok presence | [Yes/No] | [Yes/No] | [Yes/No] | | Overall social sentiment | [score] | [score] | [score] | ### Step 7: Risk Assessment Identify potential reputation risks based on the social scan. **Risk Categories:** | Risk Level | Description | Criteria | |---|---|---| | Critical | Immediate threat to reputation | Viral negative content, active social media crisis, trending negative hashtag | | High | Significant concern requiring action | Recurring complaint theme, growing detractor activity, negative Reddit threads with traction | | Medium | Notable issues to monitor | Occasional negative mentions, competitors gaining social ground, declining engagement | | Low | Minor concerns | Isolated complaints, low-reach negative mentions, minor social gaps | ### 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`: ```markdown # 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.