Negative Mentions Tracker

Task

Use @google_searchName it "google_search" and call it with @google_search to find negative discussions about a company, then use @Twitter/Get Profile and @Twitter/Get TweetsName it "Twitter/Get Tweets" and call it with @Twitter/Get Tweets to check their social mentions, and @Trustpilot/Get ReviewsName it "Trustpilot/Get Reviews" and call it with @Trustpilot/Get Reviews to find recent complaints. Compile a reputation report with actionable insights.

Example: Track negative mentions of Comcast to understand current pain points customers are vocal about.

Input

The user will provide a company name.

Example: "What are people complaining about with United Airlines?" or "Track negative mentions of [Competitor]"

Context

What to Search For

Google search patterns:

• "[Company] complaints"
• "[Company] problems"
• "[Company] sucks" (real search term people use)
• "[Company] alternative" (signals dissatisfaction)
• "[Company] vs" (comparison shopping signals)

Twitter analysis:

• Recent tweets mentioning the company
• Replies to company's tweets (often complaints)
• Ratio of positive to negative sentiment

Trustpilot deep dive:

• Focus on 1-2 star reviews
• Recent reviews (last 30-90 days)
• Recurring themes in complaints

Search Strategy

1. Google for recent complaints and discussions
2. Get the company's Twitter profile
3. Pull recent tweets from/about them
4. Get Trustpilot reviews sorted by recent
5. Identify patterns and categorize complaints

What Counts as a Valid Result

• Only report actual mentions found — don't fabricate
• Include dates/timestamps when available
• Prioritize recent mentions (last 30-90 days)
• Distinguish between one-off rants and systemic issues
• Note volume: Is this a few complaints or a pattern?

Output

Reputation Snapshot:

• Trustpilot Rating: X/5 (Y reviews)
• Recent Complaint Volume: High / Medium / Low
• Primary Issue Categories: [Top 3]

Google Search Findings: What people are searching for and discussing:

• "[Search term]" — [What this reveals]
• Key articles/threads found: [Links if significant]

Twitter Analysis:

• Company handle: @[handle]
• Follower count: X
• Recent sentiment: [Analysis]
• Notable negative tweets:
  • "[Tweet excerpt]" — @[user], [date]
  • "[Tweet excerpt]" — @[user], [date]

Trustpilot Complaints (Recent): Sorted by most recent 1-2 star reviews:

1. [Issue Category] — [Date]

   "[Quote from review]"

2. [Issue Category] — [Date]

   "[Quote from review]"

3. [Issue Category] — [Date]

   "[Quote from review]"

Pattern Analysis: | Issue Category | Frequency | Severity | Trend | |---------------|-----------|----------|-------| | [Issue 1] | X mentions | High/Med/Low | Growing/Stable/Declining |

Actionable Insights:

For Sales (if tracking a competitor):

• Key pain points to address in outreach
• Timing opportunities (recent incidents)
• Proof points to use

For Marketing (if tracking your own brand):

• Issues requiring response/PR
• Product feedback to escalate
• Reputation risks to monitor