Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/huifer/claude-code-seoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/huifer/claude-code-seo/geo-visibility-report)<a href="https://agentmods.dev/commands/huifer/claude-code-seo/geo-visibility-report"><img src="https://agentmods.dev/badge/commands/huifer/claude-code-seo/geo-visibility-report.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.01557 |
| Opus 5 | $0.00014 | $0.00779 |
| Sonnet 5 | $0.00006 | $0.00311 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
geo-visibility-report scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
功能说明
核心功能
AI 搜索可见性综合报告从所有监控数据源收集信息，整合历史数据，计算趋势和增长率，生成包含表格、图表和对比分析的综合报告。
使用场景
- 生成月度 GEO 表现报告
- 为管理层创建可视化报告
- 导出数据用于进一步分析
- 与团队分享 GEO 优化成果
输出示例
Markdown 格式（默认）
# 📊 AI 搜索可见性月度报告
**域名：** yoursite.com
**报告周期：** 2024-01-15 至 2024-02-15
**报告类型：** 综合分析报告
**生成时间：** 2024-02-15 10:30
---
## 执行摘要
### 关键发现
✅ **整体可见性提升 45%**（所有引擎平均）
✅ **Claude 引用率达到行业 Top 10%**
⚠️ **Google SGE 表现需要改进**
### 月度目标完成情况
- [x] ChatGPT 可见性目标（68/65）✅
- [x] Claude 可见性目标（75/70）✅
- [ ] Perplexity 可见性目标（70/75）❌
- [ ] Google SGE 可见性目标（55/65）❌
---
## 详细分析
### ChatGPT 表现
**引用次数：** 234 次（+18% vs 上月）
**平均排名：** 4.2
**引用率：** 68/100
**顶级引用内容：**
1. "AI SEO Complete Guide" - 45 次引用 ⭐
2. "ChatGPT Prompts for SEO" - 38 次引用
3. "GEO Best Practices" - 32 次引用
**改进机会：**
- 🎯 添加更多案例研究（+15% 预期）
- 🎯 更新统计数据（+10% 预期）
### Claude 表现
**引用次数：** 189 次（+22% vs 上月）
**平均排名：** 3.8
**引用率：** 75/100 ⭐
**顶级引用内容：**
1. "GEO vs Traditional SEO" - 42 次引用 ⭐
2. "LLM-Friendly Content Structure" - 35 次引用
3. "AI Citation Optimization" - 28 次引用
### Perplexity 表现
**引用次数：** 156 次（+15% vs 上月）
**平均排名：** 4.5
**引用率：** 70/100
**内容类型表现：**
- 指南教程：85% 引用率
- 案例分析：72% 引用率
- 对比分析：68% 引用率
### Google SGE 表现
**引用次数：** 98 次（稳定）
**平均排名：** 7.2
**引用率：** 55/100 ⚠️
**问题诊断：**
- ❌ 缺少结构化数据
- ❌ 内容更新频率低
- ❌ E-E-A-T 信号不足
**修复建议：**
🔴 **立即执行**
1. 添加 Schema.org 标记（+20% 预期）
2. 更新内容时间戳（+10% 预期）
3. 增加引用来源（+15% 预期）
---
## 竞争对手对比
### AI 搜索可见性对比
| 网站 | ChatGPT | Claude | Perplexity | Google SGE | 总分 | 排名 |
|------|---------|--------|------------|------------|------|------|
| 你们 | 68 | 75 | 70 | 55 | 268 | #1 |
| Competitor A | 45 | 52 | 48 | 62 | 207 | #2 |
| Competitor B | 38 | 41 | 35 | 48 | 162 | #3 |
---
## 内容优化建议
### 高优先级优化（预期 +20-30% 引用率）
**页面：** "AI SEO Complete Guide"
**当前评分：** 58/100
**目标评分：** 85/100
**需要优化：**
1. ✅ 添加作者 Schema（JSON-LD）
2. ✅ 增加引用来源（10+ 权威来源）
3. ✅ 更新数据（2024 年最新统计）
4. ✅ 优化内容结构（更短的段落）
5. ✅ 添加 FAQ Schema
---
## 行动计划
### Week 1-2: 紧急修复
- [ ] 优化 Google SGE 表现
- [ ] 更新 10 个核心页面
- [ ] 增加引用来源
### Week 3-4: 内容优化
- [ ] 优化高优先级页面
- [ ] 创建 5 个新页面（高引用潜力）
### Month 2: 扩展优化
- [ ] 建立 AI 搜索监控体系
- [ ] 优化内部链接网络
---
## 预期成果
### 30 天预期
**ChatGPT 可见性：** 68 → 78 (+15%)
**Claude 可见性：** 75 → 82 (+9%)
**Perplexity 可见性：** 70 → 78 (+11%)
**Google SGE 可见性：** 55 → 70 (+27%)
**流量增长：** +35-40%（来自 AI 搜索）
---
**报告生成：** 2024-02-15
**下次报告：** 2024-03-15
**负责人：** SEO Team
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 188 lines · 28 tokens per session scan A 614d20e1add1
geo-visibility-report is a command published in the GitHub repository huifer/claude-code-seo (110 stars, last pushed 8mo ago), licensed MIT. It adds 28 tokens to every session and 1,557 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.