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...

Security Scan

The skill mostly matches a GEO/SEO marketing tool but contains several inconsistencies (undeclared APIs/keys, missing files, mismatched homepages/versions) that warrant caution before use.

Purpose & Capability

The name/description (GEO content generation, citation tracking, multi-platform publishing) align with requiring LLM API keys (OpenAI, Anthropic) and a small scoring script. However the SKILL.md and metadata advertise additional integrations (Perplexity, LinkedIn, Twitter/X, Gemini) that suggest more credentials and permissions than the skill actually declares. That gap is unexpected but could be a partially-configured optional feature set.

Instruction Scope

SKILL.md and README describe actions beyond pure content generation: multi-platform publishing, real-time citation monitoring across multiple AI engines, competitor tracking and 'one-click' publishing. Those runtime behaviors would require additional credentials (Perplexity, social OAuth tokens, platform APIs) and possibly network access. The skill only declares OPENAI_API_KEY and ANTHROPIC_API_KEY; SKILL.md references PERPLEXITY_API_KEY and social APIs in its apis section but does not declare them as required environment variables. Also README installation instructs installing Python requirements from requirements.txt, but no requirements.txt is present in the file manifest—this is a discrepancy in the runtime instructions.

Install Mechanism

No install spec (instruction-only skill) and included code is limited to a small scoring script (scripts/geo_score.py). There are no downloads from external URLs or extract/install steps in the package metadata. This lowers install risk.

Credentials

The skill requires OPENAI_API_KEY and ANTHROPIC_API_KEY which are reasonable for supporting ChatGPT and Claude generation. However the metadata and SKILL.md list APIs for Perplexity, LinkedIn and Twitter/X (and Perplexity uses a PERPLEXITY_API_KEY in the apis block) while those credentials are not declared in requires.env. That mismatch means the skill claims capabilities that would need more secrets than it asks for—either the skill is incomplete or will prompt for/add additional credentials at runtime, which is a proportionality and transparency concern.

Persistence & Privilege

always:false and default autonomous invocation are set (normal). The skill is instruction-focused and does not request system-wide config paths or permanent always-on privileges. No evidence it modifies other skills or agent configs.

What to consider before installing

This skill appears to be a legitimate GEO/AI marketing toolkit but several mismatches raise caution. Before installing or providing keys: (1) confirm which external APIs you will actually need to enable — Perplexity, LinkedIn, Twitter/X typically require their own keys/OAuth; don't supply unrelated credentials. (2) Verify the source repository and homepage (manifest uses multiple different homepages/domains) and ensure the code is from a trustworthy origin. (3) Inspect scripts/geo_score.py (included) and any other code locally; it appears benign (scoring logic only) but review for network calls if you expect publishing/monitoring features. (4) Ask the maintainer why requirements.txt is referenced but missing, why PERPLEXITY_API_KEY and social APIs appear in docs but are not declared as required envs, and why package/homepage/version values differ. (5) If you proceed, test in an isolated environment and only provide minimum credentials needed for the features you will use. If you need, request an updated manifest/clearer SKILL.md that lists all required env vars for the advertised integrations to raise confidence.

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】

npm install clawhub @geo-agentops && openclaw configure

适合B2B外贸公司、跨境独立站、DTC品牌出海团队。

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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

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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

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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 × Agent type × 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

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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

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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

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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

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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

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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