Seo geo

Skill fusengine/agents/plugins/seo/skills/seo-geo

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

Install

npx -y skills add fusengine/agents --skill seo-geo

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.0 KB, 748 tokens by cl100k_base, as published. Nobody here has run it

<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:

Signal	Points
Quick answer in first 100 words	15
Direct H2 questions ("What is X?")	10
Tables/lists for comparable data	10
Citations with dates + sources	15
Statistics with attribution	10
Author bio with credentials	10
Schema.org markup	10
Updated date < 12 months	10
llms.txt present	5
No JS-only content (SSR)	5

Quantified Impact (Princeton / 2026 studies)

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

Technique	Visibility
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

# <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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.