- name
- GEO AgentOps
- description
- >-
- homepage
- https://geoagentops.ai
- license
- MIT-0
- progressive
- layers
- tokens
- 200
- loaded
- startup
- description
- 技能基础配置、产品套件、定价信息
- tokens
- 5000
- loaded
- trigger
- description
- 6步GEO工作流、AI模型配置、内容生成代理
- tokens
- variable
- loaded
- on-demand
- description
- 案例研究、效果指标、平台配置模板
- resource_paths
- metadata
- openclaw
- homepage
- https://geoagentops.ai
- primaryEnv
- OPENAI_API_KEY
- requires
- env
- bins
- apis
- url
- https://api.openai.com
- purpose
- GPT模型调用，用于GEO内容生成和优化
- auth
- Bearer Token (OPENAI_API_KEY)
- url
- https://api.anthropic.com
- purpose
- Claude模型调用，用于GEO文章撰写
- auth
- Bearer Token (ANTHROPIC_API_KEY)
- url
- https://api.perplexity.ai
- purpose
- AI搜索引用参考和市场分析
- auth
- Bearer Token (PERPLEXITY_API_KEY)
- url
- https://api.linkedin.com
- purpose
- 专业社交内容发布和管理
- auth
- OAuth
- url
- https://api.twitter.com
- purpose
- 社交内容发布和趋势参考
- auth
- OAuth
- version
- 2.1.4
- author
- OpenClaw AI Team
- emoji
- 🌐
- triggers
- tags
- category
- marketing
- pricing
- price
- 19
- currency
- USD
- period
- month
- features
- price
- 59
- currency
- USD
- period
- month
- features
- price
- 399
- currency
- USD
- period
- month
- features
外贸GEO运营系统：让海外采购商在ChatGPT里找到你的独立站
还在烧Google广告，询盘成本高达$1.2/条？ GEO AgentOps用AI原生方式，让海外采购商在ChatGPT/Claude/Perplexity里主动找到你。
【能做什么】
- GEO内容生成：6种格式一键输出，AI友好结构让引用率提升60%
- 多平台分发：一键发布到LinkedIn、Twitter/X、Reddit、Medium、Quora
- AI引用洞察：定期整理ChatGPT、Claude、Gemini、Perplexity的引用情况参考
- 市场差异化分析：参考竞争对手在AI搜索中的表现，弯道超车
【效果数据】
- 询盘成本：从$1.20→$0.04（降低97%）
- AI引用率：行业均值8%→68%
- 1-2个月见效，速度是传统SEO的3倍
【安装】
# 通过ClawHub CLI安装
openclaw skills install geo-agentops配置环境变量 OPENAI_API_KEY，适合B2B外贸公司、跨境独立站、DTC品牌出海团队。
Product Overview
GEO AgentOps 是一套完整的外贸生成引擎优化（Generative Engine Optimization）运营系统，专为B2B出海企业设计。
核心价值
- 让AI引擎主动推荐你的产品和服务
- 询盘成本低至$0.04（Google Ads需$1.20）
- 1-2个月见效，速度是传统SEO的3倍
适用场景
- B2B外贸公司SEO转型
- 跨境独立站AI搜索流量获取
- DTC品牌在AI搜索引擎的曝光
- 询盘成本优化
Product Suite
Three Core Products
| Product | Feature | Pricing |
|---|---|---|
| Echo | GEO Content Intelligence Engine | $19/mo |
| Wing | Multi-Platform Content Distribution | $39/mo |
| Radar | AI Citation Insights & Optimization | $39/mo |
| All-in Bundle | All three products | $59/mo |
6-Step GEO Workflow
Step 1: Configure Brand
- Set brand name, core keywords, target platforms
- Output: Brand configuration file
Step 2: AI Content Generation
- Select AI model x Agent type x topic
- Generate 6 content formats in seconds
- Output: Topic library, headlines, articles, FAQs, posts, reports
Step 3: Publish to Platforms
- Publish content to LinkedIn, Twitter/X, Reddit, Medium, Quora
- Multi-platform format adaptation
- Output: Published content records
Step 4: Log Content
- Organize publication records in content management
- Build content tracking index
- Output: Content management sheet
Step 5: Review Citations
- Review AI citation references across ChatGPT, Claude, Gemini, Perplexity
- Output: Citation performance reports
Step 6: Generate Reports
- One-click operations report generation
- Automated data aggregation
- Output: Report documents
AI Console
4 Global AI Models
- ChatGPT - Broad reasoning & generation
- Claude - Deep analysis & writing
- Gemini - Google-native multimodal
- Perplexity - Real-time cited answers
6 Content Agents
| Agent | Output | Purpose |
|---|---|---|
| Topic Planner | Weekly topic library | Content planning |
| Headline Generator | 10 high-CTR headlines | Attract clicks |
| GEO Article | 1200-word full article | Core content |
| FAQ Content | 8 AI-citable Q&A pairs | Boost citation rate |
| LinkedIn Post | Professional post | B2B social |
| Weekly Report | Auto report template | Operations review |
Key Metrics
Core KPIs
| Metric | Target | Description |
|---|---|---|
| AI Citation Rate | ≥60% | % of content cited by AI |
| Cost per Inquiry | ≤$0.50 | Per inquiry cost |
| Content Output | ≥30/month | GEO articles published |
| Platform Coverage | ≥5 | Number of publishing platforms |
Effect Timeline
- 2–4 weeks — First AI citation
- 1–2 months — Stable citations
- 3–6 months — Inquiry surge
Case Studies
Amazon FBA Seller — Outdoor Gear Store
- Industry: Outdoor equipment wholesale
- Usage Duration: 8 months
- Results:
- Inquiry growth: +127% - Cost per inquiry: $0.04 - Monthly AI-channel inquiries: 580 - ChatGPT monthly citations: 12
Shopify DTC Brand — Kitchenware
- Industry: Kitchenware B2B export
- Usage Duration: 5 months
- Results:
- LinkedIn engagement: +340% - Average citation rate: 68% - Monthly qualified leads: 210
How to Use
User: Help me with GEO optimization for pet toy exports to the US
Agent:
1. Configure brand info (pet toys + US + B2B)
2. Generate topic library (10 topics)
3. Generate GEO articles (3 articles)
4. Generate FAQ pairs (8 Q&A)
5. Publish to target platforms
6. Configure citation reference keywordsCommon Rationalizations
| Rationalization | Reality |
|---|---|
| "GEO is same as SEO" | GEO optimizes for AI citations, not Google rankings; different algorithms, different strategies |
| "One article is enough" | Consistent publishing builds AI citation history; frequency matters |
| "Skip competitor research" | Understanding competitors helps find citation gaps and differentiation opportunities |
| "Publish everywhere" | Quality over quantity; platform-specific content performs better than generic spam |
| "AI citations are instant" | GEO takes 2-4 weeks for first citations, 1-2 months for stable results |
| "Content quantity = success" | Citation quality and relevance matter more than raw volume |
| "Ignore content freshness" | AI models favor recent content; regular updates improve citation chances |
Verification
After completing geo-agentops workflow:
- [ ] 品牌配置信息完整（名称、关键词、目标平台）
- [ ] 生成的内容符合AI可引用结构（包含FAQ、列表、引用）
- [ ] 内容长度≥800字（AI偏好深度内容）
- [ ] 多平台发布格式适配正确（LinkedIn/Twitter/Reddit等）
- [ ] 引用参考关键词配置合理（品牌词+核心产品词）
- [ ] 发布后内容管理表已更新记录
- [ ] 案例研究数据已同步到报表系统
- [ ] 市场分析报告包含差异化建议
Security & Privacy
Storage Root Path
./data/geo-agentops/— User data directory./data/geo-agentops/output/— Generated content output./data/geo-agentops/config/— Brand configuration files
Data Processing Principles
Social Media Content
- Reference Only: Social media content (LinkedIn, Twitter/X, Reddit) is referenced for content optimization purposes only, never stored persistently
- No Private Data: We do not access or process private messages, connection lists, or restricted content
- Public Source Only: All social media content references are based on publicly available posts and profiles
Market Intelligence
- Public Sources Only: Market analysis uses only publicly accessible data (search results, public company pages, official announcements)
- No Scraping: We do not use unauthorized scraping or bypass paywalls for market research
- Fair Use: All market insights follow industry fair use standards
Permission Boundaries
| Action | Permission | Requirement |
|---|---|---|
| Content Generation | ✅ Allowed | Local processing only |
| Publish to LinkedIn | ✅ Allowed | Manual approval required — User must explicitly authorize each post |
| Publish to Twitter/X | ✅ Allowed | Manual approval required — User must explicitly authorize each post |
| Reference Public Profiles | ✅ Allowed | Content optimization |
| Access Private Messages | ❌ Forbidden | Not supported by this skill |
| Scrape Unauthorized Data | ❌ Forbidden | Violates terms of service |
| Store User Credentials | ❌ Forbidden | OAuth tokens stored securely by platform |
Multi-Platform Publishing Policy
All social media publishing requires human approval before execution.
Before any LinkedIn/Twitter/Reddit post:
- Display preview of content to be published
- Request explicit user confirmation
- Log publishing action for audit trail
- Report publication status after completion
Compliance Notes
- This skill complies with GDPR data minimization principles
- No cross-border data transfer without user consent
- All API integrations follow respective platform Terms of Service
- Market analysis adheres to fair competition guidelines