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在 OpenClaw 中安装
/install geo-sentiment-optimizer
功能描述
Audit and optimize brand messaging to improve how AI platforms portray your brand. Fix negative AI sentiment signals and strengthen positive brand associatio...
使用说明 (SKILL.md)
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 \x3Cdomain> --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| Outdated info | Confuses AI | Keep current |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]
安全使用建议
This skill's docs claim more capability than the included code provides. Before installing or running it: 1) Ask the author for the missing score_sentiment.py and for scripts that perform page fetching if those features are required. 2) Verify CLI usage: the Quick Start flags (--brand, --pages, --output) do not match the provided script (--content). 3) If you expect the skill to fetch web pages or call external services, require the author to declare which network endpoints and credentials are used; otherwise run the tool in an isolated environment. 4) Review any additional code the author supplies for network calls, hardcoded endpoints, or obfuscated behavior. 5) Prefer a clarified, consistent package (matching docs, complete scripts) or mark as untrusted until provenance and missing files are resolved.
功能分析
Type: OpenClaw Skill
Name: geo-sentiment-optimizer
Version: 1.0.0
The `SKILL.md` file instructs the agent to execute a `bash` command (`python scripts/audit_sentiment.py --brand <domain> --output report.md`) that includes user-controlled arguments (`<domain>`, `report.md`). This pattern presents a shell injection vulnerability if the OpenClaw agent does not properly sanitize or quote these inputs before executing the command. While the provided `scripts/audit_sentiment.py` does not actually accept `--brand` or `--output` arguments (it takes `--content`), the instruction itself represents a risky capability that could be exploited if the agent's execution environment is not robust against such inputs, or if a different script were provided that did accept and unsafely use these arguments.
能力评估
Purpose & Capability
The SKILL.md describes auditing a brand across pages, fetching third‑party coverage, and a separate score_sentiment.py tool; the only provided script (scripts/audit_sentiment.py) accepts a single --content string and performs a trivial local text check. The declared functionality (crawl pages, analyze external coverage, compute multi-metric scores) is not implemented by the included code, and the README's Quick Start flags (--brand, --pages, --output) do not match the script's CLI (--content).
Instruction Scope
Instructions instruct running scripts with domain/pages arguments and producing reports, but the actual script requires raw content input. There are no instructions to read secrets or system files, nor any hidden endpoints in the included files. However, SKILL.md implies network activity (auditing web pages, third-party coverage) that would require web fetching; that behavior is not present in the shipped code but could be added later — this mismatch is concerning.
Install Mechanism
No install spec; skill is instruction-only with one small local Python script. No downloads, no packages, and nothing written to disk by an installer. Low install risk.
Credentials
No environment variables, credentials, or config paths are requested — this is appropriate for an offline text-audit tool. That said, SKILL.md's implied web-audit capabilities would normally require network access or API keys, which are not declared.
Persistence & Privilege
Skill does not request persistent/always-on presence and uses default agent invocation settings. It does not modify other skills or system configs in the provided files.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install geo-sentiment-optimizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/geo-sentiment-optimizer触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: Optimize brand messaging for positive AI sentiment, methodology by GEOly AI
元数据
常见问题
Brand Sentiment Optimizer 是什么？
Audit and optimize brand messaging to improve how AI platforms portray your brand. Fix negative AI sentiment signals and strengthen positive brand associatio... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 403 次。
如何安装 Brand Sentiment Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install geo-sentiment-optimizer」即可一键安装，无需额外配置。
Brand Sentiment Optimizer 是免费的吗？
是的，Brand Sentiment Optimizer 完全免费（开源免费），可自由下载、安装和使用。
Brand Sentiment Optimizer 支持哪些平台？
Brand Sentiment Optimizer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Brand Sentiment Optimizer？
由 GEOLY AI（@geoly-geo）开发并维护，当前版本 v1.0.0。
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