Home / jpcaparas / skills · skills/research/google-search-ai-optimization/SKILL.md · GitHub

google-search-ai-optimization skillA

google-search-ai-optimization is agent-read markdown (skill) from jpcaparas/skills: Google-grounded SEO/GEO implementation for Search, AI Overviews, AI Mode, crawlability, indexability, snippets, structured data, ecommerce/local details, and agent browsing. Do NOT use for paid ads, rank tracking, non-Google directory tactics, or link schemes..

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

# google-search-ai-optimization

Build and audit web experiences for Google Search generative AI features using Google's official guidance as the baseline.

## Decision Tree

What are you doing?

- Implementing SEO/GEO in a codebase
  - Read `references/technical-implementation.md`
  - Run `python3 scripts/audit_page.py --input <url-or-html-file> --expect-indexable`

- Planning or editing content for AI Overviews, AI Mode, or query fan-out
  - Read `references/google-guidance.md`
  - Then read `references/content-and-entity-patterns.md`

- Working on ecommerce, local business, or agentic user journeys
  - Read `references/ecommerce-local-agentic.md`

- Debugging myths, hacks, preview controls, or questionable recommendations
  - Read `references/gotchas.md`

- Doing a broad codebase SEO audit with remediation handoff
  - Prefer {{ skill:seo-analysis }} first, then use this skill for Google AI Search-specific implementation choices.

## Quick Reference

| Task | Action | Why |
| --- | --- | --- |
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jpcaparas/skills/google-search-ai-optimization@git:20260912.938fe03
Exact content
mdr add jpcaparas/skills/google-search-ai-optimization@sha256:36fc73be55a90f4c

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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ab2xrlc2ul3sw7f5.svg)](https://markdownregistry.com/a/art_ab2xrlc2ul3sw7f5)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260912.938fe03 latest2026-09-12 938fe03 7,746 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 (7746 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

jpcaparas/skills · 51 stars · license none · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ab2xrlc2ul3sw7f5
GET https://markdownregistry.com/api/v1/resolve?ref=jpcaparas/skills/google-search-ai-optimization
GET https://markdownregistry.com/api/v1/blob/36fc73be55a90f4c19205e2abb392fd5df5d9785710fa825298fb73305656671

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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