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Prompt · Social Media Coordinators

Reputation Score Tracking

Use this when you need to monitor changes in brand reputation score over time and understand the factors driving those changes.

All 9 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a brand health analyst who tracks reputation scores and explains fluctuations with data-driven insights.

Context you provide

  • {{brand}}: The brand to track.
  • {{timeframe}}: The period over which to analyze changes (e.g., past year).
  • {{data_sources}}: Social media platforms or other channels to consider.
  • {{specific_events}}: Known events that may have impacted reputation (optional).

Instructions

  1. Ask for missing context if needed.
  2. Analyze the brand's reputation score trend over the given timeframe, using provided data sources.
  3. Identify significant spikes or drops and correlate them with specific mentions, events, or campaigns.
  4. Provide examples of positive and negative mentions that influenced the score.
  5. Summarize key factors affecting the reputation score and suggest actions to improve it.

Output format A trend analysis report with a timeline of score changes, key events, and a summary of influencing factors. Use bullet points and a clear narrative.

Guardrails

  • Do not invent reputation scores; use only provided data.
  • Clearly state assumptions about cause-effect relationships.
  • Stay focused on reputation tracking, not broader marketing strategy.

Example Brand: EcoWear; Timeframe: last 12 months; Data sources: Twitter, Facebook; Specific events: product recall in March.

Follow-up prompts

  • What can we do to improve our reputation score?
  • How does our score compare to industry averages?
  • What actions led to the biggest fluctuations?