Home / majdghithan / agent-skills · skills/geo-llm-optimization/SKILL.md · GitHub

geo-llm-optimization skillA

geo-llm-optimization is agent-read markdown (skill) from majdghithan/agent-skills: Generative Engine Optimization (GEO) - make a website citable and recommended INSIDE AI-assistant answers (ChatGPT, Claude, Perplexity, Gemini), not just ranked on Google. Use when the user wants to be found now that people ask AI directly, wants to be a source LLMs pull from, or asks about llms.txt, AI crawler access, JSON-LD/structured data for AI, or "SEO for AI". Covers letting AI crawlers in, extractable content, structured data, authority/E-E-A-T signals, and llms.txt - with concrete imple.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# GEO - Generative Engine Optimization

More and more people skip Google and ask ChatGPT/Claude/Perplexity/Gemini directly. When they do, there is no results page - one synthesized answer. If your content isn't *inside* that answer, you don't exist for that person: no impression, no click, nothing. GEO is how you get into the answer.

**SEO vs GEO:** SEO optimizes so a search engine *ranks* your page and you win a click. GEO optimizes so an AI assistant *cites or recommends you inside its answer* - you win a mention. They share most fundamentals; the target differs. SEO is not dead - do the shared fundamentals well and you play both games with one codebase.

## The five things GEO actually asks (in priority order)

### 1. Let the AI crawlers in (the #1 thing people get backwards)
AI assistants read the web through their own bots. If `robots.txt` blocks them, you've opted out of every AI answer on purpose. Allow them:
```
# robots.txt - allow AI crawlers explicitly (or just Allow: / for User-agent: *)
User-agent: GPTBot
Allow: /
User-agent: OAI-SearchBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: PerplexityBot
Allow: /
…

Read the whole file at its exact version.

How to install

Latest version
mdr add majdghithan/agent-skills/geo-llm-optimization@git:20260729.b363e32
Exact content
mdr add majdghithan/agent-skills/geo-llm-optimization@sha256:060a878d71f21439

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

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git:20260729.b363e32 latest2026-07-29 b363e32 5,501 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5501 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

majdghithan/agent-skills · 7 stars · license MIT · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qds5nqlmy26tssnv
GET https://markdownregistry.com/api/v1/resolve?ref=majdghithan/agent-skills/geo-llm-optimization
GET https://markdownregistry.com/api/v1/blob/060a878d71f214398f943bdc79735d1d4610121c57c1a1305c6b3cfe8eeed2a0

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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