GEO SEO — Generative Engine Optimization reference. Complete guide for optimizing websites for AI search engines. Covers llms.txt spec, GEO checklist, automated scanning, AI bot tracking with nginx, AEO (Answer Engine Optimization) for getting cited by ChatGPT/Perplexity/Gemini, citation monitoring, and content strategy for AI-powered search.
Scanned 9/7/2026
Install to Claude Code
Skills Directorynpx -y skills add bytesagain/ai-skills --skill geo-seo --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Geo Seo?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/bytesagain-geo-seo)More formats (shields.io, HTML) on the badges page.
---
name: geo-seo
version: 1.2.0
description: >
GEO SEO — Generative Engine Optimization reference. Complete
guide for optimizing websites for AI search engines. Covers
llms.txt spec, GEO checklist, automated scanning, AI bot
tracking with nginx, AEO (Answer Engine Optimization) for
getting cited by ChatGPT/Perplexity/Gemini, citation
monitoring, and content strategy for AI-powered search.
author: loutai0307-prog
homepage: https://bytesagain.com
tags: [geo, seo, ai-search, llms-txt, aeo, optimization]
---
# GEO SEO Reference
Generative Engine Optimization — get discovered by AI.
## Commands
| Command | Description |
|---------|-------------|
| `intro` | GEO vs SEO, why it matters |
| `llms` | llms.txt spec, best practices |
| `checklist` | Full optimization checklist |
| `monitor` | Auto scanning, citation tracking |
| `tracking` | AI bot detection, nginx analysis |
| `aeo` | Answer Engine Optimization for AI citations |
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, or implementing reusable IaC components.
