Sentiment

Sentiment measures how AI platforms describe your brand when you show up in answers — positive, neutral, or negative.

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What this metric answers

Use Sentiment to answer:

• Are we being recommended, or just referenced?
• Do competitors get “trusted” language while we get “fine, I guess”?
• Which prompts create negative framing so we can fix the narrative?
• Did a launch / PR moment / new content change perception over time?

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How Pierview measures sentiment

Pierview analyzes the language around your brand mention in each AI response and classifies it as:

• Positive — recommendations, praise, favorable comparisons
• Neutral — factual mentions without clear judgment
• Negative — criticism, warnings, or unfavorable comparisons

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What we look for

• Descriptive language: “reliable”, “trusted”, “best for”, “limited”, “expensive”
• Comparative framing: “better than”, “worse than”, “not as good as”
• Context cues: pricing objections, missing features, support concerns, complexity

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Interpreting sentiment

Think of sentiment like this: If you display a score (0–100), a practical read is:

• 80–100: strong recommendation language
• 60–79: okay/neutral framing (you’re in the convo, not the default)
• 0–59: risk zone (users get reasons not to choose you)

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Why sentiment matters in AI search

Pierview focuses on improving how you show up in AI-driven discovery. Sentiment matters because:

• It affects trust: users don’t just want mentions — they want confidence.
• It shapes conversions: “recommended” converts better than “mentioned.”
• It changes competitive outcomes: when two brands are both visible, sentiment often decides the winner.

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What drives sentiment

The biggest drivers are usually:

1. Source narrative: what high-authority pages say about you (reviews, lists, editorial)
2. Message clarity: “best for X” vs vague positioning that invites doubt
3. Comparison context: when competitors define the criteria, you can lose by default
4. Freshness: sentiment can decay if old pages and old opinions dominate citations

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How to improve sentiment (actionable checklist)

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Fast wins (this week)

• Add an Objections FAQ (pricing, setup, accuracy, limitations)
• Tighten your “best for” statement across key pages and profiles
• Fix mismatched claims across your site vs directories (AI hates inconsistencies)

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Compounding wins (this month)

• Publish comparison pages (fair criteria, clear tradeoffs)
• Get featured in roundups/listicles in your category (these often influence AI recommendations)
• Identify sources driving negative language, then:
  • update/clarify your own content
  • correct outdated third-party descriptions
  • create a credible “proof” asset (benchmark, methodology, case study)

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Troubleshooting

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Sentiment is negative on only a few prompts

Those prompts usually map to one objection (pricing, complexity, missing feature). Create one targeted page that addresses that objection directly, then monitor changes over time.

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Sentiment is neutral everywhere

You’re present but not differentiated. Add proof points: specific outcomes, “best for” clarity, and comparison criteria that you win on.

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Sentiment dropped suddenly

Check for a new high-impact source (review, blog post, community thread) that started showing up. Pierview’s tracking over time helps you spot competitor shifts and source changes.

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