dvcrn 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:
- Your published content — What you say about yourself
- Third-party coverage — Reviews, press, social mentions
- Structured data — Ratings, review schema
- Criticism response — How you address issues
- 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| Outdated info | Confuses AI | Keep current |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]