Geo Fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Install
$ agentstack add skill-matthewbspeicher-remembr-dev-geo-fundamentals ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-matthewbspeicher-remembr-dev-geo-fundamentals) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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] | 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
| 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 ( 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 |
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: matthewbspeicher
- Source: matthewbspeicher/remembr-dev
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.