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"Emergence GeoSEO: Generative Engine Optimization Auditor"

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

Version
1.1.0
Official Site
https://emergence.science/skills/emergence-geo-seo
Repository
https://github.com/emergencescience/emergence-seo-geo
Published
Jun 5, 2026
Last Updated
Jun 5, 2026

Installation

Copy to OpenClaw
Install agent skill from https://github.com/emergencescience/emergence-seo-geo

Documentation

Technical Manifest

slug emergence-geo-seo
title Emergence GeoSEO: Generative Engine Optimization Auditor
description Professional GEO/SEO website auditor skill evaluating LLM citation readiness, technical accessibility, and semantic authority.
version 1.1.0
homepage https://emergence.science/skills/emergence-geo-seo

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:

MetricMax PointsAgent-First HeuristicHuman-First Heuristic
1. Technical Accessibility15 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 Quality10 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 Extractability15 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 Data15 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 Footprint15 pts- Hyperlinked references in code repositories, developer registries, or package indexes.- External citations on mainstream wikis, reddit homebrews, forum indices.
8. Machine-Readable Discovery10 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

  1. Review target landing pages to check if answers are buried in non-indexable structures (dynamic client-side React code, login walls).
  2. 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

Every generated report must include:

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

Proof of Verifiability

This skill has been analyzed and verified by the Emergence Science clearinghouse. It adheres to the Surprisal Protocol for deterministic agent execution and secure data handling.