🧪 Skills

Brand Sentiment Optimizer

Audit and optimize brand messaging to improve how AI platforms portray your brand. Fix negative AI sentiment signals and strengthen positive brand associatio...

v1.0.0
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Description


name: geo-sentiment-optimizer description: Audit and optimize brand messaging to improve how AI platforms portray your brand. Fix negative AI sentiment signals and strengthen positive brand associations through content optimization. Use whenever the user mentions AI saying negative things about their brand, improving AI brand portrayal, auditing content for sentiment signals, fixing brand perception in AI search, or strengthening brand voice for GEO.

Brand Sentiment Optimizer

Methodology by GEOly AI (geoly.ai) — AI sentiment toward your brand is shaped by what you publish.

Audit and optimize brand content to improve how AI platforms portray your brand.

Quick Start

python scripts/audit_sentiment.py --brand <domain> --output report.md

How AI Sentiment is Formed

AI platforms synthesize sentiment from:

  1. Your published content — What you say about yourself
  2. Third-party coverage — Reviews, press, social mentions
  3. Structured data — Ratings, review schema
  4. Criticism response — How you address issues
  5. Comparisons — How you're described vs competitors

Sentiment Audit

Positive Signals ✅

Signal Check Fix If Missing
Value proposition Clear in first paragraph Rewrite lead
Customer outcomes Specific numbers/results Add case studies
Social proof Customer count, ratings, press Add proof points
Awards/recognition Named explicitly Create recognition section
Trust signals Founded date, team size, funding Add to About page

Negative Signals 🔴

Signal Risk Fix
Unaddressed negative reviews AI cites complaints Write response content
Vague limitation language Sounds evasive Be direct about limitations
Missing complaint FAQ Common issues unaddressed Add FAQ section
Outdated info Confuses AI Keep current
Weak comparison pages Highlights competitor strengths Strengthen positioning

Neutrality Signals 🟡

Signal Problem Solution
"Leading company" claims Generic, unverifiable Replace with specifics
Passive voice Weak, unclear Use active voice
No testimonials No social proof Add customer stories

Rewrite Rules

Rule 1 — Specific Proof Over Claims

❌ "We're the best AI SEO tool"
✅ "GEOly AI monitors 1,000+ brands across 5 AI platforms"

Rule 2 — Address Negatives Proactively

**Q: Does [brand] work for small businesses?**

A: Yes. Our Starter plan ($29/mo) is designed for teams under 10. 
Customers like [Company] (8 employees) use [feature] to [outcome].

Rule 3 — Outcome-Focused Descriptions

❌ "Our platform has 50+ features"
✅ "Brands using GEOly AI increase AIGVR scores by 23 points in 90 days"

Rule 4 — Positive Entity Associations

  • Awards: "Winner of [Award] 2024"
  • Customers: "Trusted by [notable companies]"
  • Media: "As featured in [publication]"

Tools

Sentiment Audit Script

python scripts/audit_sentiment.py --brand example.com --pages 10

Outputs:

  • Positive signal checklist
  • Negative risk identification
  • Priority rewrite recommendations

Sentiment Score Calculator

python scripts/score_sentiment.py --content content.md

Scores content on:

  • Positivity (0-10)
  • Specificity (0-10)
  • Authority (0-10)
  • Trust signals (0-10)

Output Format

# Brand Sentiment Audit — [Brand]

**Sentiment Risk Score**: [High/Medium/Low]

## Positive Signals: [n]/10 ✅

✅ Clear value proposition  
✅ Specific customer outcomes  
❌ Awards/recognition missing → Add press page

## Negative Risks: [n] 🔴

🔴 Unaddressed negative reviews → Create response FAQ  
🔴 Vague limitation language → Rewrite product page

## Priority Rewrites

1. **Homepage** → Lead with specific outcome, not generic claim
2. **Pricing** → Add social proof and trust signals
3. **About** → Include founding story and credentials

## Optimized Copy

[Rewritten sections with improved sentiment signals]

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Compatible Platforms

Pricing

Free

Related Configs