
Geo Fundamentals
This is a reference guide for optimizing content so AI engines like ChatGPT, Perplexity, and Claude actually cite you in their responses. It covers the RAG retrieval factors that matter (semantic relevance, authority signals, freshness), what content format gets cited (original stats, comparison tables, FAQ sections), and includes a Python audit script to check your site's citation readiness. The comparison tables are practical, especially the SEO vs GEO breakdown and the AI crawler user-agent list. The core insight is sound: AI engines prefer structured, attributed, timestamped content that's easy to extract. If you're trying to shift from ranking in Google to being quoted by LLMs, this gives you the checklist without the usual marketing fluff about a trend that's still forming.
- skills.sh installs
- 258
- GitHub stars
- 33.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add davila7/claude-code-templates --skill geo-fundamentals --agent claude-codeInstalls into .claude/skills of the current project.
Files
GEO Fundamentals
Optimization for AI-powered search engines.
1. What is GEO?
GEO = Generative Engine Optimization
| Goal | Platform |
|---|---|
| Be cited in AI responses | ChatGPT, Claude, Perplexity, Gemini |
SEO vs GEO
| Aspect | SEO | GEO |
|---|---|---|
| Goal | #1 ranking | AI citations |
| Platform | AI engines | |
| Metrics | Rankings, CTR | Citation rate |
| Focus | Keywords | Entities, data |
2. AI Engine Landscape
| Engine | Citation Style | Opportunity |
|---|---|---|
| Perplexity | Numbered [1][2] | Highest citation rate |
| ChatGPT | Inline/footnotes | Custom GPTs |
| Claude | Contextual | Long-form content |
| Gemini | Sources section | SEO crossover |
3. RAG Retrieval Factors
How AI engines select content to cite:
| Factor | Weight |
|---|---|
| Semantic relevance | ~40% |
| Keyword match | ~20% |
| Authority signals | ~15% |
| Freshness | ~10% |
| Source diversity | ~15% |
4. Content That Gets Cited
Sponsors
Details
- Repository
- github.com/davila7/claude-code-templates
- First seen
- Jun 3, 2026
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