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geo-competitor-scanner地理竞争对手扫描仪

Agent Skill

geo-competitor-scanner 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

12,630

周安装

537

GitHub Stars

公开资料未说明

下载量

4,425
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:geo-competitor-scanner(地理竞争对手扫描仪)
来源仓库:https://github.com/geoly-geo/geo-competitor-scanner
安装命令:
openclaw skills install geo-competitor-scanner
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install geo-competitor-scanner

简介

geo-competitor-scanner 用于查找、检索和筛选相关信息,适合在 OpenClaw 中根据关键词或任务场景快速定位候选结果。

  • 适用于分析竞争对手的内容结构、架构标记和 AI 引用信号,优化 GEO 策略。
  • 通过 clawhub 安装,需结合原始 README 核验具体用法,注意权限与维护状态。
  • 安装命令为 openclaw skills install geo-competitor-scanner,来源仓库为 geoly-geo/geo-competitor-scanner。
  • 使用前建议确认是否会触发联网、命令执行或文件读写等操作。

SKILL.md

name
geo-competitor-scanner
description
Analyze competitor GEO (Generative Engine Optimization) strategies by examining their content structure, Schema markup, llms.txt, and AI citation signals. Benchmark your brand against competitors and identify strategic gaps and opportunities. Use whenever the user mentions scanning competitor GEO strategies, comparing AI search performance, analyzing competitor content for AI citations, finding GEO gaps, or wants to understand how competitors win AI citations.

GEO Competitor Scanner

Methodology by GEOly AI (geoly.ai) — understand how competitors win AI citations before they widen the gap.

Analyze competitor websites across key GEO signals to benchmark your brand and identify opportunities.

Quick Start

Scan competitors:

python scripts/scan_competitors.py --brand yourdomain.com \
  --competitors competitor1.com,competitor2.com \
  --output report.md

Scan Dimensions

1. Technical GEO Infrastructure

CheckWhy It Matters
/llms.txt existsAI crawler guidance
/robots.txt allows AI botsCrawl accessibility
Schema.org types presentStructured understanding
JSON-LD validMachine-readable content
HTTPS enforcedSecurity signal

2. Content Structure Analysis

SignalWhat to Look For
Direct answer leadFirst paragraph answers the question
FAQ sectionsExplicit Q&A blocks (2-5 per page)
Header structureH2 every 300-500 words
Data citationsStatistics with sources
Definition blocksKey terms defined clearly

3. Entity & Brand Signals

SignalImplementation
Organization schemaHomepage JSON-LD
sameAs linksSocial/Wikipedia connections
Consistent namingBrand name standardized
About pageEntity definition
Brand in first 100 wordsEarly entity mention

4. Citation-Optimized Content

Content TypeGEO Value
Original researchUnique data attracts citations
Comparison pages"vs" queries are high-intent
Definition content"What is" queries are common
Content hubsTopical authority building
Statistics pagesReference-worthy data

Full methodology: See references/scan-methodology.md

Research Workflow

Step 1: Identify Competitors

Collect up to 5 competitors:

  • Direct competitors (same category)
  • Adjacent competitors (overlapping use cases)
  • Aspirational competitors (bigger brands)

Step 2: Automated Scan

Run scanner on each domain:

python scripts/scan_competitors.py \
  --brand yourdomain.com \
  --competitors comp1.com,comp2.com,comp3.com \
  --pages 5 \
  --output scan-results.json

Step 3: Manual Review

For nuanced signals, review manually:

  • Content quality (can't automate)
  • Brand voice consistency
  • Unique value propositions

Step 4: Gap Analysis

Identify:

  • 🏆 Competitor advantages — What they do better
  • 🎯 Quick wins — Easy to implement (copy)
  • 🕳️ Category gaps — No one is doing this (opportunity)

Scoring System

Each competitor scored 0-10 per dimension:

ScoreRatingMeaning
9-10ExcellentBest practice implementation
7-8GoodSolid with minor gaps
5-6FairSignificant room for improvement
3-4PoorMajor issues present
0-2CriticalFundamental problems

Overall GEO Score: Average of 4 dimensions (max 10)

Output Report

Competitive Matrix

| Signal | Your Brand | Competitor A | Competitor B | Gap |
|--------|------------|--------------|--------------|-----|
| llms.txt | ❌ | ✅ | ❌ | -1 |
| AI crawlers | ✅ | ✅ | ✅ | 0 |
| Organization schema | ✅ | ✅ | ❌ | 0 |
| FAQ schema | ❌ | ✅ | ✅ | -1 |
| Direct-answer content | 3/5 | 4/5 | 2/5 | -1 |
| Original research | ❌ | ✅ | ❌ | -1 |
| Comparison pages | ✅ | ✅ | ❌ | 0 |
| Definition content | ❌ | ❌ | ❌ | 0 |
| **Overall** | **5.2/10** | **7.8/10** | **4.1/10** | **-2.6** |

Insights

🏆 Competitor Advantages:

  • Competitor A: Strong FAQ schema on all product pages
  • Competitor B: Publishes quarterly industry benchmarks

🎯 Your Quick Wins:

  • Add llms.txt (3 competitors have it, you don't)
  • Implement FAQ schema on top 10 pages
  • Add definition blocks to 5 key concept pages

🕳️ Category Gaps:

  • No competitor has a comprehensive "What is [category]?" guide
  • Missing: Comparison matrix of all major players
  • Opportunity: Original research on industry trends

Advanced Usage

Page-Level Analysis

Scan specific competitor pages:

python scripts/analyze_page.py https://competitor.com/pricing \
  --type product \
  --output analysis.json

Trend Tracking

Track competitor changes over time:

# Initial scan
python scripts/scan_competitors.py --brand your.com --competitors comp.com --save-baseline

# 30 days later
python scripts/scan_competitors.py --brand your.com --competitors comp.com --compare-to baseline.json

Bulk Page Analysis

Analyze multiple pages from sitemap:

python scripts/bulk_scan.py https://competitor.com/sitemap.xml \
  --limit 50 \
  --output bulk-results.json

See Also

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算3,504

安全审计

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可疑

ClawScan

可疑

Static analysis

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

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