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sickn33 avatar

Geo Fundamentals

sickn33/antigravity-awesome-skills

If you're publishing content and want AI engines like ChatGPT or Perplexity to actually cite you instead of just training on your words, this gives you the framework. It breaks down how RAG retrieval works, what content structures get pulled into responses (original data, clean definitions, FAQ sections), and includes a Python auditor script to check your citation readiness. The SEO versus GEO comparison tables are genuinely useful. Fair warning that measurement is still mostly manual monitoring since there's no Google Search Console equivalent for AI citations yet. Treat this as the early playbook for a space that's still figuring itself out.

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GitHub stars
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last updated
Jul 14, 2026
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Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill geo-fundamentals --agent claude-code

Installs into .claude/skills of the current project.

Files

GEO Fundamentals

Optimization for AI-powered search engines.


1. What is GEO?

GEO = Generative Engine Optimization

GoalPlatform
Be cited in AI responsesChatGPT, Claude, Perplexity, Gemini

SEO vs GEO

AspectSEOGEO
Goal#1 rankingAI citations
PlatformGoogleAI engines
MetricsRankings, CTRCitation rate
FocusKeywordsEntities, data

2. AI Engine Landscape

EngineCitation StyleOpportunity
PerplexityNumbered [1][2]Citation behavior varies by query/product
ChatGPTInline/footnotesCustom GPTs
ClaudeContextualLong-form content
GeminiSources sectionSEO crossover

3. RAG Retrieval Factors

Potential retrieval considerations include relevance, source quality, freshness and diversity. The platforms do not publish a universal weighting formula; do not assign invented percentages or infer citation probability from this checklist.


4. Content That Gets Cited

ElementWhy It Works
Original statisticsUnique, citable data
Expert quotesAuthority transfer
Clear definitionsEasy to extract
Step-by-step guidesActionable value
Comparison tablesStructured info
FAQ sectionsDirect answers

5. GEO Content Checklist

Content Elements

  • Question-based titles
  • Summary/TL;DR at top
  • Original data with sources
  • Expert quotes (name, title)
  • FAQ section (3-5 Q&A)
  • Clear definitions
  • "Last updated" timestamp
  • Author with credentials

Technical Elements

  • Article schema with dates
  • Person schema for author
  • FAQPage schema
  • Fast loading (< 2.5s)
  • Clean HTML structure

6. Entity Building

ActionPurpose
Google Knowledge PanelEntity recognition
Wikipedia (if notable)Authority source
Consistent info across webEntity consolidation
Industry mentionsAuthority signals

7. AI Crawler Access

Key AI User-Agents

CrawlerEngine
GPTBotOpenAI training crawler; search/user agents are separate
ClaudeBot / Claude-SearchBot / Claude-UserDistinct purposes; verify current official crawler docs
PerplexityBotPerplexity
GooglebotGoogle Search; verify separate product controls

Access Decision

StrategyWhen
Selective accessMatch owner policy to documented training/search/user crawler purposes
Block GPTBotDon't want OpenAI training
SelectiveAllow some, block others

8. Measurement

MetricHow to Track
AI citationsManual monitoring
"According to [Brand]" mentionsSearch in AI
Competitor citationsCompare share
AI-referred trafficUTM parameters

9. Anti-Patterns

❌ Don't✅ Do
Publish without datesAdd timestamps
Vague attributionsName sources
Skip author infoShow credentials
Thin contentComprehensive coverage

Remember: AI cites content that's clear, authoritative, and easy to extract. Be the best answer.


Script

ScriptPurposeCommand
scripts/geo_checker.pyGEO audit (AI citation readiness)python scripts/geo_checker.py <project_path>

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Example

User request:

Use @geo-fundamentals for this task: Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

The bundled checker scans at most30 selected source files; it does not crawl/render pages, validate schema, verify original data or measure AI citation probability. Public Markdown/docs can be relevant but are excluded by this heuristic. Missing files mean not assessed, not passed. FAQ markup and crawler access do not guarantee citations; verify current platform eligibility and measure dated, reproducible query samples.

SKILL.md on GitHub

Sponsors

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Details

Repository
github.com/sickn33/antigravity-awesome-skills
First seen
Apr 16, 2026

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