fusengine/agents/seo-geo

Claude Code and agent skill by fusengine/agents

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Use when optimizing for AI search engines (GEO) — AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot readiness.

Install

npx vskill@latest install fusengine/agents/seo-geo

SKILL.md

The same SKILL.md was published earlier as majiayu000/claude-skill-registry-data/seo-geo.

<objective> Covers Generative Engine Optimization (GEO) 2026 for the six target AI engines (Google AI Overviews, ChatGPT with web search, Perplexity, Claude with web search, Gemini, Bing Copilot). Documents the scripts/geo-score.ts LLM-readiness scoring (0-100 across 10 weighted signals), quantified impact data (statistics/authoritative citations/expert quotes boost AI visibility up to +40%; keyword stuffing costs -10%), the recommended content structure for LLM extraction, and llms.txt placement (ignored by Google's crawlers, useful for other LLMs). Distinct from seo-featured-snippets (position-0 HTML recipes) and seo-entity (the schema/salience signals that feed AI citations). </objective>

GEO — Generative Engine Optimization 2026

Target Engines

  • Google AI Overviews (formerly SGE)
  • ChatGPT with web search
  • Perplexity
  • Claude with web search
  • Gemini
  • Bing Copilot

LLM-Readiness Score (0-100)

scripts/geo-score.ts checks:

SignalPoints
Quick answer in first 100 words15
Direct H2 questions ("What is X?")10
Tables/lists for comparable data10
Citations with dates + sources15
Statistics with attribution10
Author bio with credentials10
Schema.org markup10
Updated date < 12 months10
llms.txt present5
No JS-only content (SSR)5

Quantified Impact (Princeton / 2026 studies)

GEO techniques boost AI visibility by up to +40%. Ranked by impact:

TechniqueVisibility
Adding statistics+40%
Citing authoritative sources+40%
Quoting experts+28%
Improving text fluency+15–30%
Keyword stuffing-10% (worse than baseline)

AI Overviews cite ~13 sources on average per answer (2026); 59.6% of citations come from URLs outside the top-20 organic results.

Content Structure for LLMs

markdown
# <Topic>
 
**Quick answer** (40-60 words, factual, no fluff)
 
## What is <topic>?
Definition paragraph...
 
## Why does it matter?
Stats with sources...
 
## How to <task>?
Numbered steps...
 
## Comparison
| X | Y |
|---|---|
 
## FAQ
-Q: ...
-A: ...

llms.txt

Not required by Google (its crawlers ignore it) — useful for other LLMs, where early adopters report improved citation accuracy. Place at site root: https://example.com/llms.txt

# Site Name
> One-line description
 
## Pages
- [Homepage](https://example.com/): description
- [Docs](https://example.com/docs/): description

References

  • seo-entity — entity signals + schema that drive AI citations
  • skills/seo/04-geo-2026/ (ai-platforms, citation-strategies, content-structure, llm-crawlability, zero-click-optimization)
  • skills/seo/08-measurement/share-of-model.md

Security

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  • Model reviewPassed

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Source

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Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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  • Aider
  • GPT Pilot
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  • bolt.new
  • v0
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  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
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  • Fig AI
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