# Send Brand Sentiment Optimizer to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- 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.
## Suggested prompts
### New install

```text
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

```text
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.
```
## Machine-readable fields
```json
{
  "schemaVersion": "1.0",
  "item": {
    "slug": "geo-sentiment-optimizer",
    "name": "Brand Sentiment Optimizer",
    "source": "tencent",
    "type": "skill",
    "category": "通讯协作",
    "sourceUrl": "https://clawhub.ai/geoly-geo/geo-sentiment-optimizer",
    "canonicalUrl": "https://clawhub.ai/geoly-geo/geo-sentiment-optimizer",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadUrl": "/downloads/geo-sentiment-optimizer",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=geo-sentiment-optimizer",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "packageFormat": "ZIP package",
    "primaryDoc": "SKILL.md",
    "includedAssets": [
      "SKILL.md",
      "scripts/audit_sentiment.py",
      "references/sentiment-signals.md",
      "evals/evals.json"
    ],
    "downloadMode": "redirect",
    "sourceHealth": {
      "source": "tencent",
      "slug": "geo-sentiment-optimizer",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-29T07:34:11.466Z",
      "expiresAt": "2026-05-06T07:34:11.466Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=geo-sentiment-optimizer",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=geo-sentiment-optimizer",
        "contentDisposition": "attachment; filename=\"geo-sentiment-optimizer-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null,
        "slug": "geo-sentiment-optimizer"
      },
      "scope": "item",
      "summary": "Item download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this item.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/geo-sentiment-optimizer"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    }
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/geo-sentiment-optimizer",
    "downloadUrl": "https://openagent3.xyz/downloads/geo-sentiment-optimizer",
    "agentUrl": "https://openagent3.xyz/skills/geo-sentiment-optimizer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/geo-sentiment-optimizer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/geo-sentiment-optimizer/agent.md"
  }
}
```
## Documentation

### 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

### Positive Signals ✅

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 🔴

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 🟡

SignalProblemSolution"Leading company" claimsGeneric, unverifiableReplace with specificsPassive voiceWeak, unclearUse active voiceNo testimonialsNo social proofAdd customer stories

### 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]"

### 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]
## Trust
- Source: tencent
- Verification: Indexed source record
- Publisher: geoly-geo
- Version: 1.0.0
## Source health
- Status: healthy
- Item download looks usable.
- Yavira can redirect you to the upstream package for this item.
- Health scope: item
- Reason: direct_download_ok
- Checked at: 2026-04-29T07:34:11.466Z
- Expires at: 2026-05-06T07:34:11.466Z
- Recommended action: Download for OpenClaw
## Links
- [Detail page](https://openagent3.xyz/skills/geo-sentiment-optimizer)
- [Send to Agent page](https://openagent3.xyz/skills/geo-sentiment-optimizer/agent)
- [JSON manifest](https://openagent3.xyz/skills/geo-sentiment-optimizer/agent.json)
- [Markdown brief](https://openagent3.xyz/skills/geo-sentiment-optimizer/agent.md)
- [Download page](https://openagent3.xyz/downloads/geo-sentiment-optimizer)