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Emergence SEO GEO

Name: Emergence SEO GEO
Author: emergencescience

作者 emergencescience · GitHub ↗ · v1.1.0 · MIT-0

cross-platform ✓ 安全检测通过

总下载

当前安装

版本数

在 OpenClaw 中安装

/install emergence-seo-geo

功能描述

Professional GEO/SEO website auditor skill evaluating LLM citation readiness, technical accessibility, and semantic authority.

使用说明 (SKILL.md)

GEO/SEO Analysis & Audit Skill

This skill defines the technical methodology and analysis workflow for auditing websites against Generative Engine Optimization (GEO) and AI-native search engine (ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews) ranking behaviors.

🎯 Core Objective

Audit any target domain's visibility, technical crawlability, and semantic authority under conversational AI models, producing a standardized, high-value assessment report with actionable optimization roadmaps tailored to the type of web application (Agent-First vs. Human-First).

📊 Differentiated Scoring Scorecard (100 Points Total)

To cater to the distinct traversal paths of autonomous agents versus human-oriented conversational search, the audit uses a tailored metric weighting scheme:

Metric	Max Points	Agent-First Heuristic	Human-First Heuristic
1. Technical Accessibility	15 pts	- AI crawlers (`GPTBot`, `ClaudeBot`, `PerplexityBot`, etc.) permitted in `robots.txt`.	- Standard search engine crawlers (`Googlebot`, `Bingbot`, etc.) permitted in `robots.txt`.
2. Structured Schema Quality	10 pts	- Validity of JSON-LD schemas mapped to agent capabilities or software specs.	- Presence and validity of schemas like `Product`, `FAQPage`, `Organization`, `HowTo`.
3. Content Extractability	15 pts	- Section headings, markdown structures, bullet points, and data grids.	- Structured comparison layout, QA headers, H1/H2/H3 hierarchies.
4. Answer Density (BLUF)	10 pts	- Concise summary blocks for machine ingestion.	- High-density 40-70 word answer blocks ("Bottom Line Up Front" formatting).
5. Citations & Empirical Data	15 pts	- Hard data points, numeric parameters, and outbound documentation references.	- Specific numbers, percentages, trust factors, and reliable source linking.
6. Expertise & Attribution (EEAT)	10 pts	- Developer/Publisher credentials, software repositories, and compliance/trust signals.	- Verified author credentials, profile bylines, customer review indicators.
7. Off-Page Entity Footprint	15 pts	- Hyperlinked references in code repositories, developer registries, or package indexes.	- External citations on mainstream wikis, reddit homebrews, forum indices.
8. Machine-Readable Discovery	10 pts	- Presence and compliance of `/llms.txt` and `/skill.md` at domain root.	- Presence of standard `/sitemap.xml` and OpenGraph/Twitter social meta tags.

🛠️ Step-by-Step Auditing Workflow

Step 1: Local & Automated Crawl Check

Run the automated python script geo_audit.py to calculate the baseline score and scan technical endpoints:

# Audit a B2B SaaS or E-commerce site (Human-first)
python3 geo_audit.py soldy.ai --type human --prompt "AI video generator"

# Audit an agent network app or dev protocol (Agent-first)
python3 geo_audit.py emergence.science --type agent --prompt "openclaw bounty market"

Step 2: E2E Search Engine Indexation Verification (Optional)

To query live index footprints and rank tracking on Tavily, Brave Search, Google, and Bing, append the --e2e flag:

# Requires local CLI tools: `bx` (Brave Search) and `tvly` (Tavily Search)
python3 geo_audit.py emergence.science --type agent --prompt "openclaw bounty market" --e2e

Step 3: Content Optimization Scan

Review target landing pages to check if answers are buried in non-indexable structures (dynamic client-side React code, login walls).
Count word length of key introductory paragraphs to check if they fit the 40-70 word extraction window.

Step 4: Sourcing & EEAT Validation

Verify if claims rely on subjective marketing adjectives instead of verifiable scientific and quantitative facts.

📋 Standard Reporting Structure & Examples

Every generated report must include:

Executive Summary: Core highlights and final benchmark score.
Current State Assessment: Breakdown of the 8 metrics with specific website screenshots or parsed snippets.
Competitor Citation Gap Analysis: Why competitors get cited in ChatGPT/Perplexity for target keywords while the client is omitted.
Actionable Roadmap: Clear 30-60-90 day recommendations (Technical fixes, structural copy rewrite, schema implementation, agentic files integration).

Live Example & Downloadable Report

Live Interactive Tool & Report Demo: Visit Emergence Science SEO-GEO Audit Tool to view live report examples and score calculations.
Reference Document: An example of a generated English audit report is bundled with this skill at examples/emergence_science_analysis_en.md for direct reference and templates.

安全使用建议

Install only if you are comfortable running a local audit script that makes outbound requests. Use --e2e only for domains and prompts that can be shared with search providers, and treat results from sites with broken TLS cautiously because the script may retry without certificate verification.

能力评估

✓ Purpose & Capability

The documented purpose is to audit domains for crawlability, schema, metadata, search footprint, and LLM citation readiness; the Python script's URL fetches, robots.txt checks, metadata checks, and optional search queries fit that purpose.

ℹ Instruction Scope

The skill tells the agent or user to run a local Python script and can optionally invoke Brave/Tavily CLIs plus Google/Bing HTTP searches. This is disclosed in usage examples, though the privacy implications of sending domains and prompts to third-party services are not stated prominently.

✓ Install Mechanism

No package install, dependency bootstrap, autorun hook, or hidden setup mechanism is present. The manifests declare no authentication and point to Emergence Science API/discovery URLs, but the bundled script does not use credentials.

ℹ Credentials

Outbound network access to the audited site is necessary for the stated function, and optional third-party search checks are purpose-aligned. Users should avoid running it against confidential internal domains or sensitive prompts unless they accept that those values may be sent externally.

ℹ Persistence & Privilege

No persistence, privilege escalation, background worker, credential harvesting, destructive action, or broad local indexing was found. The script does use an insecure TLS fallback after a normal HTTPS fetch fails, which can reduce result integrity but does not indicate malicious behavior.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install emergence-seo-geo
安装完成后，直接呼叫该 Skill 的名称或使用 /emergence-seo-geo 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.1.0

- Major update introducing detailed documentation for methodology, metrics, and workflow. - Added comprehensive scoring rubric with 8 distinct, weighted criteria for GEO/SEO audits. - Outlined clear step-by-step auditing process, including CLI usage and optional E2E indexation checks. - Included standard reporting structure and links to live tool demos and report templates. - Differentiated evaluation for “Agent-First” and “Human-First” site types.

元数据

Slug emergence-seo-geo

版本 1.1.0

许可证 MIT-0

累计安装 1

当前安装数 1

历史版本数 1

常见问题