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💡Use Cases and Prompt Ideas

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1. Custom analytics and graphs

Prompt: "Using Octolens, calculate the share of voice for BRAND vs. COMPETITOR1, and COMPETITOR2, over the last 90 days. Return a share of voice graph (pie chart) with brand, total mentions, and percentage share of total mentions.

What this does:

  • Checks all you brand and competitor mentions from the last 90 says

  • Creates a custom graph

Recommendation: for heavier analytics searches and graph creation go for a strong model like Claude Opus 4.6 or GPT 5.3

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2. Weekly Reputation Monitoring

Prompt: "Show me all mentions from the last 7 days, grouped by sentiment. Highlight any negative mentions that need immediate response."

What this does:

  • Pulls mentions from your tracked keywords

  • Uses AI to analyze sentiment

  • Surfaces urgent issues

Best for: Weekly stand-ups, team reviews

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3. Competitive Intelligence

Prompt: "Compare how people talk about [Your Brand] vs [Competitor] on Reddit this month. What are the key differentiators?"

What this does:

  • Analyzes language patterns

  • Identifies positioning gaps

  • Surfaces competitive advantages

Best for: Product marketing, positioning strategy

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4. Product Feedback Analysis

Prompt: "Extract all feature requests mentioned on any platform in the last month. Group by frequency and urgency."

What this does:

  • Consolidates feedback across platforms

  • Prioritizes by volume

  • Identifies patterns

Best for: Product teams, roadmap planning

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5. Support Issue Detection

Prompt: "Alert me to any mentions containing words like 'bug', 'error', 'not working', or 'broken' in the last 24 hours."

What this does:

  • Real-time issue detection

  • Proactive support outreach

  • Reduces escalation risk

Best for: Support teams, DevOps

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6. Campaign performance

Prompt: "Show me all mentions during our product launch week (Feb 1-7). How did sentiment change day by day?"

What this does:

  • Tracks launch momentum

  • Measures campaign impact

  • Identifies amplification opportunities

Best for: Marketing teams, launch retrospectives

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Prompting Tips

Be specific about time ranges:

  • "Last 7 days" is better than "recently"

  • "January 2026" is better than "this month"

Specify platforms when relevant:

  • "Reddit and Hacker News" vs. "all platforms"

  • Helps AI focus on the most relevant data

Ask for structured outputs:

  • "Group by sentiment"

  • "Summarize in bullet points"

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