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geo-fundamentals

Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).

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Skill instructions

Rendered from the published SKILL.md, 158 lines.

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 Google AI engines
Metrics Rankings, CTR Citation rate
Focus Keywords Entities, data

2. AI Engine Landscape

Engine Citation Style Opportunity
Perplexity Numbered [1][2] Citation behavior varies by query/product
ChatGPT Inline/footnotes Custom GPTs
Claude Contextual Long-form content
Gemini Sources section SEO 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 The platforms do not publish a universal weighting formula; do not assign invented percentages or infer citation probability from this checklist.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

Element Why It Works
Original statistics Unique, citable data
Expert quotes Authority transfer
Clear definitions Easy to extract
Step-by-step guides Actionable value
Comparison tables Structured info
FAQ sections Direct 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

Action Purpose
Google Knowledge Panel Entity recognition
Wikipedia (if notable) Authority source
Consistent info across web Entity consolidation
Industry mentions Authority signals

7. AI Crawler Access

Key AI User-Agents

Crawler Engine
GPTBot OpenAI training crawler; search/user agents are separate
ClaudeBot / Claude-SearchBot / Claude-User Distinct purposes; verify current official crawler docs
PerplexityBot Perplexity
Googlebot Google Search; verify separate product controls

Access Decision

Strategy When
Selective access Match owner policy to documented training/search/user crawler purposes
Block GPTBot Don't want OpenAI training
Selective Allow some, block others

8. Measurement

Metric How to Track
AI citations Manual monitoring
"According to [Brand]" mentions Search in AI
Competitor citations Compare share
AI-referred traffic UTM parameters

Show the whole skill (38 more lines)

9. Anti-Patterns

❌ Don't ✅ Do
Publish without dates Add timestamps
Vague attributions Name sources
Skip author info Show credentials
Thin content Comprehensive coverage

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


Script

Script Purpose Command
scripts/geo_checker.py GEO 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.