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Install in OpenClaw
/install geo-agentops
Description
Use when user needs GEO optimization for B2B export websites. Use when generating AI-friendly content for ChatGPT/Claude/Perplexity. Use when tracking AI cit...
README (SKILL.md)
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引用追踪：实时监控ChatGPT、Claude、Gemini、Perplexity的引用情况
- 竞品分析：追踪竞争对手在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 和 ANTHROPIC_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 Monitoring & 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
- Track publication status in content management
- Build content tracking index
- Output: Content management sheet
Step 5: Track Citations
- Monitor AI citations across ChatGPT, Claude, Gemini, Perplexity
- Output: Citation ranking 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. Set up citation tracking keywords
Common 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）
- 引用追踪关键词设置合理（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
- 竞品分析报告包含差异化建议
Usage Guidance
This skill appears to be a marketing/operations toolkit for producing GEO-optimized content and includes a harmless local scoring script, but a few inconsistencies merit caution:
- Verify the homepage/repository: the SKILL.md/homepage, package.json homepage, and llms.txt/homepage differ (geoagentops.ai vs jmgc0l91v1c6.space.minimaxi.com vs GitHub). Confirm the official source before installing.
- Only provide the minimum credentials needed: the skill declares OPENAI_API_KEY and ANTHROPIC_API_KEY — those are reasonable if you intend to use both models. Do NOT hand over social OAuth tokens (LinkedIn/Twitter) or other API keys unless you explicitly want the skill to publish on your behalf and you trust the maintainer. If publishing is required, create limited-scope tokens and be prepared to revoke them.
- Ask the maintainer/author to clarify missing env vars: PERPLEXITY_API_KEY is referenced in the apis list but not in requires.env. Confirm which keys are actually used at runtime.
- Inspect runtime behavior locally first: because there's no risky installer and the Python script is local and network-free, run the code in an isolated environment to confirm it does only what you expect. Look for any future prompts the skill might present that try to collect other secrets or direct the agent to external endpoints.
- If you need higher assurance, request a short security/readme note from the publisher that explains: (1) which external services are contacted, (2) exactly which env vars or OAuth flows are required, and (3) where telemetry/data is sent (their domains). Rotate/limit keys after testing.
Given the metadata mismatches and extra advertised APIs, treat this skill as 'suspicious' until those inconsistencies are explained — it may simply be sloppy packaging, but you should verify before providing credentials or enabling publishing features.
Capability Analysis
Type: OpenClaw Skill
Name: geo-agentops
Version: 2.1.3
The GEO AgentOps skill bundle is a marketing automation tool designed to help B2B exporters optimize content for AI search engines (Generative Engine Optimization). It contains a Python scoring script (scripts/geo_score.py) that uses regex to evaluate content quality, along with various templates and documentation (README.md, SKILL.md) for generating AI-friendly articles and tracking citations. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested API keys (OpenAI, Anthropic, Perplexity) are consistent with the tool's stated purpose of content generation and analysis.
Capability Tags
Capability Assessment
Purpose & Capability
The name/description describe a GEO content + citation-monitoring tool and the included files (templates, guides, a GEO scoring script) are consistent with that purpose. Requesting OPENAI_API_KEY and ANTHROPIC_API_KEY is proportionate for using GPT- and Claude-style models. However, the manifest and SKILL.md advertise additional APIs (Perplexity, LinkedIn, Twitter/X, Gemini) while only two env vars are declared; package/homepage fields point to multiple different domains. These mismatches look like sloppy packaging or incomplete configuration and should be clarified.
Instruction Scope
SKILL.md and README describe generating content and publishing to external platforms (LinkedIn, Twitter/X, Reddit, Medium, Quora) and monitoring AI citations. The runtime instructions do not contain explicit steps to read arbitrary system files, nor do the included scripts perform network calls. However the instructions reference multiple external APIs and an additional PERPLEXITY_API_KEY in the apis list even though it's not a required env var. The guidance is somewhat vague about how publishing/monitoring is authenticated (OAuth tokens, Perplexity key). That vagueness could hide later requests for unrelated credentials or for the agent to prompt the user to paste tokens.
Install Mechanism
There is no install spec that downloads/extracts code from untrusted URLs; this is an instruction-plus-assets package in the registry. The only code file (scripts/geo_score.py) is a local scoring utility with no network behavior. This is low-risk from an install/execution standpoint.
Credentials
The skill requires OPENAI_API_KEY and ANTHROPIC_API_KEY which match the stated use of ChatGPT/GPT and Claude. But SKILL.md's APIs list also declares Perplexity (PERPLEXITY_API_KEY) and social APIs (LinkedIn/Twitter OAuth) without putting them into requires.env. Multiple places reference different homepages/domains (geoagentops.ai vs jmgc0l91v1c6.space.minimaxi.com vs repository GitHub URL). Requiring social OAuth tokens would be reasonable only if the skill actually publishes on behalf of the user — the manifest doesn't declare those env vars, so be wary if the agent later asks for unrelated tokens or secrets.
Persistence & Privilege
always:false and disable-model-invocation:false (default) — no forced permanent inclusion. The package does not request elevated agent/system privileges or modify other skills. No red flags for persistence or privilege escalation in the provided files.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install geo-agentops - After installation, invoke the skill by name or use
/geo-agentops - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.1.3
Fix placeholder API keys in README
v2.1.2
Remove emoji characters from content to fix Suspicious flag
v2.1.1
Fixed install instructions: removed npm, use CLI only
v2.1.0
No core features changed—documentation updates only.
- Updated README.md for improved instructions and information.
- No changes to code or functionality in this release.
v2.0.4
Version 2.0.4
- Added "progressive" layered loading to optimize skill configuration, workflow, and resources.
- Enhanced SKILL.md descriptions with clear usage triggers and more precise context guidance.
- Updated API requirements to specify PERPLEXITY_API_KEY for Perplexity API.
- Expanded verification and rationalization sections for better user understanding and workflow checks.
v2.0.3
License update: Unified to MIT-0. No functional changes.
v2.0.2
Version 2.0.2 – Minor enhancements and metadata updates
- Added detailed API integration metadata in SKILL.md, specifying required environment variables and supported APIs.
- Introduced homepage and improved license field formatting in the skill description.
- No user-facing feature changes; update improves integration clarity and deployment requirements.
v2.0.1
No changes detected in this release.
- Version remains at 2.0.0; no updates or file modifications found.
- Functionality, documentation, and features are unchanged.
v2.0.0
Major update introducing expanded features, new workflows, and updated pricing tiers.
- New 6-step GEO workflow for streamlined AI-driven B2B content and citation optimization.
- Expanded pricing plans and clear feature breakdown by plan (Starter, Pro Bundle, Enterprise).
- Multi-platform content publishing, citation tracking across top AI engines (ChatGPT, Claude, Gemini, Perplexity), and added competitor analysis.
- Case studies, key metrics/KPIs, and usage examples now included.
- Enhanced documentation of product suite, content agents, and KPI-driven outcomes.
Metadata
Frequently Asked Questions
What is Geo Agentops?
Use when user needs GEO optimization for B2B export websites. Use when generating AI-friendly content for ChatGPT/Claude/Perplexity. Use when tracking AI cit... It is an AI Agent Skill for Claude Code / OpenClaw, with 192 downloads so far.
How do I install Geo Agentops?
Run "/install geo-agentops" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Geo Agentops free?
Yes, Geo Agentops is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Geo Agentops support?
Geo Agentops is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Geo Agentops?
It is built and maintained by WangM-A3 (@wangm-a3); the current version is v2.1.3.
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