geo-optimizer

安装量: 74
排名: #10500

安装

npx skills add https://github.com/b-open-io/prompts --skill geo-optimizer

GEO Optimizer

Generative Engine Optimization (GEO) for AI search visibility.

What is GEO?

GEO is NOT traditional SEO. AI search engines (ChatGPT, Perplexity, Claude, Gemini) work fundamentally differently:

They fetch raw HTML - Many don't render JavaScript They have size limits - Crawlers abandon pages >1MB HTML They evaluate confidence - Hedged language ("maybe", "possibly") ranks 3x lower than confident assertions They need machine-readable metadata - AgentFacts/NANDA protocol for AI agent discovery Quick Audit Workflow 1. Technical Visibility Check

Run full GEO audit

python3 ${CLAUDE_SKILL_DIR}/scripts/audit-geo.py https://example.com

Check HTML size and JS dependency

curl -sI https://example.com | grep -i content-length

  1. Content Authority Analysis

Check hedge density of your content

python3 ${CLAUDE_SKILL_DIR}/scripts/check-hedge-density.py --url https://example.com/blog/post

Or analyze text directly

python3 ${CLAUDE_SKILL_DIR}/scripts/check-hedge-density.py --text "Your content here"

  1. Agent Infrastructure Setup

Generate AgentFacts schema for your domain

python3 ${CLAUDE_SKILL_DIR}/scripts/generate-agentfacts.py \ --domain example.com \ --agent-name "Example Service" \ --capabilities text,image \ --output /.well-known/agent-facts

Core Metrics Hedge Density Score

Measures uncertainty language in content. Target: <0.2%

Hedge words to avoid:

maybe, possibly, perhaps, might, could be however, although, it seems, arguably some believe, it appears, potentially

Why it matters: Research shows confident citations rank 3x higher in AI responses. Every hedge word signals uncertainty to LLMs.

See: references/hedge-density.md

HTML Size Budget

Maximum: 1MB raw HTML. Above this threshold:

18% of pages abandoned by crawlers Content truncation risks Slower indexing

Check with: curl -sI URL | grep content-length

See: references/technical-visibility.md

JS Dependency Risk

AI crawlers vary in JavaScript rendering:

Rendering crawlers: GPTBot, PerplexityBot (sometimes) Non-rendering: ClaudeBot, many others

If your content requires JS to display, you're invisible to ~40% of AI crawlers.

Discovery Gap

Startups face a "recency wall" - 30:1 visibility disadvantage vs established domains:

Site Age Visibility Strategy <2 years ~3.3% Web-augmented: Reddit, referring domains 2+ years ~99% GEO content: entity density, hedge reduction

See: references/discovery-strategies.md

AgentFacts Setup

The NANDA protocol provides machine-readable metadata for AI agent discovery. Place at /.well-known/agent-facts:

{ "@context": "https://nanda.dev/ns/agent-facts/v1", "id": "nanda:example.com", "agent_name": "urn:agent:example:com", "endpoints": { "static": ["https://api.example.com/v1/agent"] }, "capabilities": { "modalities": ["text"], "authentication": { "methods": ["oauth2", "jwt"] } }, "trust": { "certification": "self-attested", "human_oversight": "true" } }

See: references/agentfacts-schema.md

Audit Report Sections

A complete GEO audit covers:

Technical Visibility

HTML payload size (target: <1MB) JS dependency assessment Crawler accessibility

Content Authority

Hedge density score (target: <0.2%) Confidence assessment Entity density

Discovery Strategy

Site age analysis Recency wall detection Recommended approach

Agent Infrastructure

AgentFacts presence Schema validation NANDA compliance Scripts Script Purpose audit-geo.py Full GEO audit for a URL check-hedge-density.py Analyze content confidence generate-agentfacts.py Create NANDA-compliant schema Reference Documentation File Contents hedge-density.md Confidence scoring methodology agentfacts-schema.md NANDA protocol specification technical-visibility.md Crawler behavior & limits discovery-strategies.md Startup vs incumbent approaches Example Commands

Full audit with report

python3 ${CLAUDE_SKILL_DIR}/scripts/audit-geo.py https://mysite.com --output report.md

Quick hedge check

python3 ${CLAUDE_SKILL_DIR}/scripts/check-hedge-density.py --url https://mysite.com/about

Generate AgentFacts for SaaS

python3 ${CLAUDE_SKILL_DIR}/scripts/generate-agentfacts.py \ --domain myapp.com \ --agent-name "MyApp AI" \ --capabilities text \ --auth oauth2,apikey

Key Takeaways GEO != SEO - Different crawlers, different rules Confidence wins - Hedge density <0.2% is the target Size matters - Stay under 1MB HTML JS is risky - Content must work without rendering Age affects strategy - Startups need web-augmented signals AgentFacts is future-proofing - Implement NANDA now

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