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What this is

A response table view for a specific sentiment dimension (e.g., Security), with filters for mention status and sentiment polarity.

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Why it matters

  • You can see the exact responses driving a dimension score.
  • It separates “you were mentioned negatively” from “you weren’t mentioned at all.”
  • It gives you concrete language to fix or reinforce.

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Where to find it

Analytics → Prompt Analytics → Sentiment → click a dimension

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How it works

  • Meridian filters responses to the selected dimension.
  • Controls include:
    • Time range + Prev. Period
    • Mention filter (All / Mentioned / Not mentioned)
    • Polarity toggles (Positive / Neutral / Negative)
    • Response table (date, position, platform, region)
Sentiment dimension drilldown with mention filter and polarity toggles Caption: Drill into a dimension and isolate the responses causing negativity.

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How to use it

  1. Click a sentiment dimension (e.g., Security).
  2. Use polarity toggles to focus on Negative.
  3. Use Mention filter:
    • Mentioned to see what’s being said about you
    • Not mentioned to see where you’re excluded
  4. Open a response row to inspect language and citations.

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How to interpret results

  • If negatives are “Mentioned” → fix narrative with facts, FAQ, comparisons, and citations.
  • If negatives are mostly “Not mentioned” → you’re not in the conversation → improve visibility first.
  • If negatives cluster in one platform → optimize to that platform’s sources.
  • If negatives spike in a short timeframe → likely triggered by a trending event or new content → address quickly.
  • If negatives are vague (“unreliable,” “expensive”) → publish explicit counter-evidence (benchmarks, pricing tables, guarantees).

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Common questions / troubleshooting

  • “Why do I see ‘No mentions’ rows?” → that run didn’t mention you; it still contributes to “not mentioned” context.
  • “Why is the response count huge?” → that’s total runs; add filters (platform/topic).