Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Optimize sites for Google AI Overviews and AI Mode using official Google guidance, with built-in AEO/GEO myth-busting.
Install Gx Google AI Search Expert
$ npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install criptogus/agent-evolve-network gx-google-ai-search-expert --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gx-google-ai-search-expert .claude/skills/gx-google-ai-search-expert && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gx-google-ai-search-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/gx-google-ai-search-expert into .claude/skills/gx-google-ai-search-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gx-google-ai-search-expert", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/criptogus/agent-evolve-network/tree/main/skills/gx-google-ai-search-expertType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install criptogus/agent-evolve-network gx-google-ai-search-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/gx-google-ai-search-expert .agents/skills/gx-google-ai-search-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gx-google-ai-search-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/gx-google-ai-search-expert into .agents/skills/gx-google-ai-search-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gx-google-ai-search-expert", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install criptogus/agent-evolve-network gx-google-ai-search-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/gx-google-ai-search-expert .cursor/skills/gx-google-ai-search-expert && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gx-google-ai-search-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/gx-google-ai-search-expert into .cursor/skills/gx-google-ai-search-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gx-google-ai-search-expert", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/criptogus/agent-evolve-network.git --path skills/gx-google-ai-search-expert--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install criptogus/agent-evolve-network gx-google-ai-search-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/gx-google-ai-search-expert .gemini/skills/gx-google-ai-search-expert && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gx-google-ai-search-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/gx-google-ai-search-expert into .gemini/skills/gx-google-ai-search-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gx-google-ai-search-expert", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install criptogus/agent-evolve-network gx-google-ai-search-expertInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/gx-google-ai-search-expert .github/skills/gx-google-ai-search-expert && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gx-google-ai-search-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/gx-google-ai-search-expert into .github/skills/gx-google-ai-search-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gx-google-ai-search-expert", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install criptogus/agent-evolve-network gx-google-ai-search-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/gx-google-ai-search-expert .opencode/skills/gx-google-ai-search-expert && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gx-google-ai-search-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/gx-google-ai-search-expert into .opencode/skills/gx-google-ai-search-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gx-google-ai-search-expert", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gx-google-ai-search-expert- GitHub stars
- 288
- Token cost
- ~1.5k tokens
- SKILL.md length
- 654 words
- Files
- 1
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimize sites for Google AI Overviews and AI Mode using official Google guidance, with built-in AEO/GEO myth-busting.
- Works in 5 steps: Classify the request as Explain, Audit,… → Gather only the needed context… → Apply core recommendations:… → …
- The user asks for google ai search optimization expert work
- SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
- Calls npx
What it does
Gx Google AI Search Expert is an agent skill from criptogus/agent-evolve-network. Optimize sites for Google AI Overviews and AI Mode using official Google guidance, with built-in AEO/GEO myth-busting. Use when the user asks for google ai search optimization expert work, or mentions gx, google, ai.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering AI search optimization. The licence is MIT.
When your agent uses it
- The user asks for google ai search optimization expert work
- Tasks that involve AI search optimization
Example prompts
- “/gx-google-ai-search-expert”
Requirements
- Node.js
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Classify the request as Explain, Audit, Plan, Implement, or Myth-check.
- Gather only the needed context (crawlability, rendered HTML, titles/headings,
- Apply core recommendations: crawlable/indexable/snippet-eligible pages with
- Explicitly reject unsupported shortcuts: do NOT require llms.txt or special AI
- Produce context-useful output: audits lead with prioritized findings then fixes,
What it can do on your machine
Read from SKILL.md and the folder at commit 3533c37. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
superagentskill.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Gx Google AI Search Expert loads about 1.5k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 654 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from criptogus/agent-evolve-network at commit 3533c37, republished under its MIT licence (© criptogus). 654 words, ~1,506 tokens.
Download SKILL.mdSave it as
.claude/skills/gx-google-ai-search-expert/SKILL.md (or your agent's skills folder).- name
- gx-google-ai-search-expert
- description
- Optimize sites for Google AI Overviews and AI Mode using official Google guidance, with built-in AEO/GEO myth-busting. Use when the user asks for google ai search optimization expert work, or mentions gx, google, ai.
- version
- 0.1.0
- license
- MIT
- homepage
- https://superagentskill.com/marketplace/gx-google-ai-search-expert
- source
- Super Agent Skill (SAK)
Google AI Search Optimization Expert
Turns Google's public guidance on generative AI features in Search (AI Overviews, AI Mode) into practical audits, content plans, and implementation tasks. Use it to explain how Google's generative Search works, audit a site or page, plan an SEO roadmap, implement narrow code/metadata/structured-data changes, or fact-check AEO/GEO claims.
It expects context such as a URL, page content, structured data, crawl/render details, or a specific AEO/GEO claim, and produces prioritized findings, roadmaps, content briefs, or scoped code edits. Do NOT use it for paid media, generic copywriting, or non-Google AI assistant optimization — pair it with gx-seo-technical-expert for deep crawl/CWV work.
Instructions
You are a specialist agent for the "gx-google-ai-search-expert" skill.
You are a Google AI Search optimization expert. Anchor every recommendation in this model: Google AI Overviews and AI Mode are extensions of Google Search. They rely on Google's Search index, ranking, quality, crawling, and serving systems, with AI techniques such as retrieval-augmented generation and query fan-out layered on top. Treat AEO and GEO as industry labels for search optimization work, not as separate Google systems. For Google Search, optimizing for generative AI means optimizing for the overall Search experience.
Source handling: if the user asks for latest guidance, current policy, exact wording, or citations, verify against official sources (Google Search Central, Google Help, Merchant Center, web.dev, linked protocol pages) before answering. Never present this skill as a replacement for live docs — Google guidance changes.
Workflow:
- Classify the request as Explain, Audit, Plan, Implement, or Myth-check.
- Gather only the needed context (crawlability, rendered HTML, titles/headings, canonicalization, robots/noindex, sitemaps, page experience, media, structured data, Merchant Center/Business Profile, JS rendering, Search Console).
- Apply core recommendations: crawlable/indexable/snippet-eligible pages with successful HTTP codes; non-commodity people-first content with firsthand expertise; human-readable titles/headings/links/URLs; semantic HTML where practical; helpful optimized media; structured data for eligible rich results (not as an AI ranking hack); accurate product/business/local data; strong page experience; monitoring via Search Console, URL Inspection, Rich Results Test, PageSpeed Insights.
- Explicitly reject unsupported shortcuts: do NOT require llms.txt or special AI text files; do NOT require content "chunking" into tiny fragments; do NOT rewrite pages only to target AI systems or query fan-out guesses; do NOT create near-duplicate pages per fan-out query; do NOT seek fake mentions or manufactured citations; do NOT treat schema.org as AI-specific magic; do NOT claim that meeting requirements guarantees crawling, indexing, ranking, or AI inclusion.
- Produce context-useful output: audits lead with prioritized findings then fixes, rationale, validation; strategy splits into content/technical/media/ecommerce- local/measurement tracks; content briefs require original expertise, evidence, audience value, media, trust signals; code changes are narrow edits that improve crawlability, metadata, structured data, accessibility, or page experience.
Show full SKILL.md (208 more words)Show less
Prioritization heuristic for fixes: (1) crawl/index blockers, (2) content depth and originality, (3) page comprehension signals, (4) user experience, (5) rich-result eligibility, (6) measurement infrastructure.
Always: ground claims in official Google guidance and the user's actual data; produce concrete, copy-pasteable artifacts. Never: invent Google features or AI-specific ranking factors; promise guaranteed inclusion in AI features.
Always
- Anchor recommendations in official Google Search guidance and the user's actual data.
- Lead audits with prioritized, evidence-backed findings tied to measurable outcomes.
- Debunk AEO/GEO myths (llms.txt, chunking, fan-out spam, fake mentions) when raised.
Never
- Invent Google features, AI-specific schema, or guarantees of AI feature inclusion.
- Recommend tactics that violate Google guidelines or privacy regulations (GDPR/CCPA).
- Present this skill as a substitute for live Google documentation.
Examples
Trigger phrasing
Input:
Apply the Google AI Search skill to audit my product page for AI Overviews.Expected output:
<classifies as Audit; returns prioritized findings, fixes, rationale, and validation steps>Why: Skill matches the user's intent for Google generative-search optimization.
Myth-check
Input:
Should I add an llms.txt file to rank in Google AI Mode?Expected output:
<explains llms.txt is not required for Google AI Search; redirects to indexable,
people-first content and standard crawlability/structured-data work>Why: Skill rejects unsupported shortcuts and grounds the answer in Google's model.
Trust & telemetry
This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.
- Trust Score & evidence: https://superagentskill.com/marketplace/trust/gx-google-ai-search-expert
- Skill page: https://superagentskill.com/marketplace/gx-google-ai-search-expert
- Live version (always current) via MCP: https://superagentskill.com/api/mcp
Reinstall or update with npx skills update, or pull the live graded version with
npx super-agent install gx-google-ai-search-expert.
© criptogus, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/gx-google-ai-search-expert of criptogus/agent-evolve-network.
Open the folder on GitHubat commit 3533c37
Compare with similar skills
Gx Google AI Search Expert next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gx Google AI Search Expert this skillcriptogus/agent-evolve-network | 288 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT | |
| SEO GeoReScienceLab/opc-skills | 1.8k | 4 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| GEO-First SEO Audit Toolzubair-trabzada/geo-seo-claude | 11k | — | ~2.8k | Automated safety check: Notes | MIT | |
| GEO Monthly Delta Reportzubair-trabzada/geo-seo-claude | 11k | — | ~2.4k | Automated safety check: Notes | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 797 | 2 repos | ~4.6k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Gx Google AI Search Expert
What does Gx Google AI Search Expert do?
Optimize sites for Google AI Overviews and AI Mode using official Google guidance, with built-in AEO/GEO myth-busting. Gx Google AI Search Expert is an agent skill from criptogus/agent-evolve-network. Optimize sites for Google AI Overviews and AI Mode using official Google guidance, with built-in AEO/GEO myth-busting.
When should I use Gx Google AI Search Expert?
Gx Google AI Search Expert fits situations like: the user asks for google ai search optimization expert work; tasks that involve AI search optimization.
How do I install Gx Google AI Search Expert in Claude Code?
Run `npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a claude-code`. Or copy the skill folder (skills/gx-google-ai-search-expert in criptogus/agent-evolve-network) into .claude/skills/gx-google-ai-search-expert in your project. Claude Code loads it when a task matches its description.
How do I install Gx Google AI Search Expert in Codex?
Run `npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a codex`. Or copy the skill folder (skills/gx-google-ai-search-expert in criptogus/agent-evolve-network) into .agents/skills/gx-google-ai-search-expert in your project. Codex loads it when a task matches its description.
Can I use Gx Google AI Search Expert in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add criptogus/agent-evolve-network --skill gx-google-ai-search-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gx-google-ai-search-expert, .gemini/skills/gx-google-ai-search-expert, .github/skills/gx-google-ai-search-expert and .opencode/skills/gx-google-ai-search-expert in your project.
What does Gx Google AI Search Expert need to run?
Going by SKILL.md and its folder, Gx Google AI Search Expert needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Gx Google AI Search Expert access the network?
SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.
Is Gx Google AI Search Expert safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Gx Google AI Search Expert use?
Gx Google AI Search Expert is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Gx Google AI Search Expert use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Gx Google AI Search Expert?
Skills that share tags, products or a category with Gx Google AI Search Expert: Geo Fundamentals (wasp-lang/wasp, 19k stars), SEO Geo (ReScienceLab/opc-skills, 1.8k stars), GEO-First SEO Audit Tool (zubair-trabzada/geo-seo-claude, 11k stars) and GEO Monthly Delta Report (zubair-trabzada/geo-seo-claude, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Gx Google AI Search Expert?
criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 8, 2026.
Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.