Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Communication & Collaboration
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...
skill openclawclawhub Free
Audit and optimize brand messaging to improve how AI platforms portray your brand. Fix negative AI sentiment signals and strengthen positive brand associatio...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/audit_sentiment.py, references/sentiment-signals.md, evals/evals.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- geoly-geo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Brand Sentiment Optimizer
Methodology by GEOly AI (geoly.ai) โ 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 โ What you say about yourself Third-party coverage โ Reviews, press, social mentions Structured data โ Ratings, review schema Criticism response โ How you address issues Comparisons โ How you're described vs competitors
Positive Signals โ
SignalCheckFix If MissingValue propositionClear in first paragraphRewrite leadCustomer outcomesSpecific numbers/resultsAdd case studiesSocial proofCustomer count, ratings, pressAdd proof pointsAwards/recognitionNamed explicitlyCreate recognition sectionTrust signalsFounded date, team size, fundingAdd to About page
Negative Signals ๐ด
SignalRiskFixUnaddressed negative reviewsAI cites complaintsWrite response contentVague limitation languageSounds evasiveBe direct about limitationsMissing complaint FAQCommon issues unaddressedAdd FAQ sectionOutdated infoConfuses AIKeep currentWeak comparison pagesHighlights competitor strengthsStrengthen positioning
Neutrality Signals ๐ก
SignalProblemSolution"Leading company" claimsGeneric, unverifiableReplace with specificsPassive voiceWeak, unclearUse active voiceNo testimonialsNo social proofAdd customer stories
Rule 1 โ Specific Proof Over Claims
โ "We're the best AI SEO tool" โ "GEOly AI monitors 1,000+ brands across 5 AI platforms"
Rule 2 โ 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 โ Outcome-Focused Descriptions
โ "Our platform has 50+ features" โ "Brands using GEOly AI increase AIGVR scores by 23 points in 90 days"
Rule 4 โ Positive Entity Associations
Awards: "Winner of [Award] 2024" Customers: "Trusted by [notable companies]" Media: "As featured in [publication]"
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 โ [Brand] **Sentiment Risk Score**: [High/Medium/Low] ## Positive Signals: [n]/10 โ โ Clear value proposition โ Specific customer outcomes โ Awards/recognition missing โ Add press page ## Negative Risks: [n] ๐ด ๐ด Unaddressed negative reviews โ Create response FAQ ๐ด Vague limitation language โ Rewrite product page ## Priority Rewrites 1. **Homepage** โ Lead with specific outcome, not generic claim 2. **Pricing** โ Add social proof and trust signals 3. **About** โ Include founding story and credentials ## Optimized Copy [Rewritten sections with improved sentiment signals]
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Config
- SKILL.md
- references/sentiment-signals.md
- scripts/audit_sentiment.py
- evals/evals.json