AI Visibility
Ryze-AI-Adgent/open-seo-mcp-skills
Measure real AI-engine visibility — traffic from ChatGPT, Perplexity, Claude, Gemini and which pages they cite — from actual GA4 referral data, not prompt sampling.
Assess how ready a website is to be cited and answered by AI search and LLMs (Generative Engine Optimization / GEO) using crawlie.
Install Geo AI Readiness
$ npx skills add spronta/crawlie --skill geo-ai-readiness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install spronta/crawlie geo-ai-readiness --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/spronta/crawlie.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/geo-ai-readiness .claude/skills/geo-ai-readiness && 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 "geo-ai-readiness" agent skill from https://github.com/spronta/crawlie/tree/main/skills/geo-ai-readiness into .claude/skills/geo-ai-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-ai-readiness", 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/spronta/crawlie/tree/main/skills/geo-ai-readinessType 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 spronta/crawlie --skill geo-ai-readiness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install spronta/crawlie geo-ai-readiness --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spronta/crawlie.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/geo-ai-readiness .agents/skills/geo-ai-readiness && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "geo-ai-readiness" agent skill from https://github.com/spronta/crawlie/tree/main/skills/geo-ai-readiness into .agents/skills/geo-ai-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-ai-readiness", 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 spronta/crawlie --skill geo-ai-readiness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install spronta/crawlie geo-ai-readiness --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spronta/crawlie.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/geo-ai-readiness .cursor/skills/geo-ai-readiness && 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 "geo-ai-readiness" agent skill from https://github.com/spronta/crawlie/tree/main/skills/geo-ai-readiness into .cursor/skills/geo-ai-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-ai-readiness", 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/spronta/crawlie.git --path skills/geo-ai-readiness--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 spronta/crawlie --skill geo-ai-readiness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install spronta/crawlie geo-ai-readiness --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spronta/crawlie.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/geo-ai-readiness .gemini/skills/geo-ai-readiness && 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 "geo-ai-readiness" agent skill from https://github.com/spronta/crawlie/tree/main/skills/geo-ai-readiness into .gemini/skills/geo-ai-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-ai-readiness", 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 spronta/crawlie geo-ai-readinessInstalls 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 spronta/crawlie --skill geo-ai-readiness -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/spronta/crawlie.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/geo-ai-readiness .github/skills/geo-ai-readiness && 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 "geo-ai-readiness" agent skill from https://github.com/spronta/crawlie/tree/main/skills/geo-ai-readiness into .github/skills/geo-ai-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-ai-readiness", 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 spronta/crawlie --skill geo-ai-readiness -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install spronta/crawlie geo-ai-readiness --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/spronta/crawlie.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/geo-ai-readiness .opencode/skills/geo-ai-readiness && 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 "geo-ai-readiness" agent skill from https://github.com/spronta/crawlie/tree/main/skills/geo-ai-readiness into .opencode/skills/geo-ai-readiness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-ai-readiness", 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
geo-ai-readiness- GitHub stars
- 114
- Token cost
- ~766 tokens
- SKILL.md length
- 358 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Assess how ready a website is to be cited and answered by AI search and LLMs (Generative Engine Optimization / GEO) using crawlie.
- Works in 3 steps: Prefer mcpcrawlie* tools if present this… → Else CLI prefix: crawlie if on PATH,… → If neither is available, ask for Node…
- The user asks about AI search
- SKILL.md covers Bootstrap — make crawlie…, Workflow, Tips and Make it permanent (optional —…
- Calls npx, npm and claude
What it does
Geo AI Readiness is an agent skill from spronta/crawlie. Assess how ready a website is to be cited and answered by AI search and LLMs (Generative Engine Optimization / GEO) using crawlie. Use when the user asks about AI search, generative engine optimization, GEO, getting cited by ChatGPT / Perplexity / Google AI Overviews, llms.txt, structured data for AI, or whether their content is "answerable" by LLMs. Works even if crawlie is not installed.
Its SKILL.md is about 770 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. It works with OpenAI, Perplexity and Model Context Protocol. The repository describes itself as: Fast, free, open-source technical SEO + GEO crawler: built for humans and agents.
When your agent uses it
- The user asks about AI search
- Generative engine optimization
- Getting cited by ChatGPT / Perplexity / Google AI Overviews
- Structured data for AI
Example prompts
- “answerable”
- “/geo-ai-readiness”
Requirements
- Node.js
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Prefer mcpcrawlie* tools if present this session.
- Else CLI prefix: crawlie if on PATH, otherwise
- If neither is available, ask for Node (https://nodejs.org) or the crawlie MCP, then stop.
What it can do on your machine
Read from SKILL.md and the folder at commit 810e836. 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:
npxnpmclaude
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):
nodejs.org
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
Geo AI Readiness loads about 766 tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 358 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 358 words (~766 tokens).
“Score and improve how well a site can be understood, cited, and answered by AI search engines and LLMs. crawlie runs dedicated GEO checks alongside its SEO crawl and returns a GEO score. Ships on npm as crawlie — no…”
- name
- geo-ai-readiness
Files
Just SKILL.md in skills/geo-ai-readiness of spronta/crawlie.
Open the folder on GitHubat commit 810e836
Compare with similar skills
Geo AI Readiness 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 |
|---|---|---|---|---|---|---|
| Geo AI Readiness this skillspronta/crawlie | 114 | — | ~766 | Automated safety check: Pass | Custom licence | |
| AI VisibilityRyze-AI-Adgent/open-seo-mcp-skills | 4.7k | — | ~611 | Automated safety check: Pass | MIT | |
| Geo Scorejianruntech/geo-score | 582 | — | ~2.9k | Automated safety check: Pass | MIT | |
| AI Visibility Auditirinabuht12-oss/marketing-skills | 4.1k | — | ~611 | Automated safety check: Pass | None | |
| SEONexus-JPF/note-companion | 870 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Ansvisor Aeo Coach Standaloneansvisor/ansvisor | 134 | — | ~3k | Automated safety check: Pass | MIT |
Similar skills
Geo Score
jianruntech/geo-score
Score a website's AI answer-engine visibility 0–100 against the open AIV rubric, and, with the user's own API keys, check and track through the OpenAI, Perplexity, Gemini and Anthropic APIs whether…
AI Visibility Audit
irinabuht12-oss/marketing-skills
Audit how visible your brand is inside AI answers (ChatGPT, Claude, Gemini, Perplexity, AI Overviews).
SEO
Nexus-JPF/note-companion
Use and read this skill immediately if the user request is in any way related to SEO or a site's organic search or AI search presence.
Ansvisor Aeo Coach Standalone
ansvisor/ansvisor
Standalone (no-MCP) version of the Ansvisor AEO Coach. An agent skill from ansvisor/ansvisor.
Ansvisor Aeo Coach
ansvisor/ansvisor
Acts as an Answer Engine Optimization (AEO) analyst for users running Ansvisor.
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Related
Works with
Categories
Questions about Geo AI Readiness
What does Geo AI Readiness do?
Assess how ready a website is to be cited and answered by AI search and LLMs (Generative Engine Optimization / GEO) using crawlie. Geo AI Readiness is an agent skill from spronta/crawlie. Assess how ready a website is to be cited and answered by AI search and LLMs (Generative Engine Optimization / GEO) using crawlie.
When should I use Geo AI Readiness?
Geo AI Readiness fits situations like: the user asks about AI search; generative engine optimization; getting cited by ChatGPT / Perplexity / Google AI Overviews; structured data for AI.
How do I install Geo AI Readiness in Claude Code?
Run `npx skills add spronta/crawlie --skill geo-ai-readiness -a claude-code`. Or copy the skill folder (skills/geo-ai-readiness in spronta/crawlie) into .claude/skills/geo-ai-readiness in your project. Claude Code loads it when a task matches its description.
How do I install Geo AI Readiness in Codex?
Run `npx skills add spronta/crawlie --skill geo-ai-readiness -a codex`. Or copy the skill folder (skills/geo-ai-readiness in spronta/crawlie) into .agents/skills/geo-ai-readiness in your project. Codex loads it when a task matches its description.
Can I use Geo AI Readiness 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 spronta/crawlie --skill geo-ai-readiness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-ai-readiness, .gemini/skills/geo-ai-readiness, .github/skills/geo-ai-readiness and .opencode/skills/geo-ai-readiness in your project.
What does Geo AI Readiness need to run?
Going by SKILL.md and its folder, Geo AI Readiness needs the command-line tools its instructions call (npx, npm and claude). Our summary lists: Node.js.
Does Geo AI Readiness access the network?
SKILL.md names 1 domain. As links in the text: nodejs.org. This is read from the text; nothing was executed.
Is Geo AI Readiness 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 Geo AI Readiness use?
Geo AI Readiness has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Geo AI Readiness use?
About 766 tokens (SKILL.md is roughly 3.1k 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 Geo AI Readiness?
Skills that share tags, products or a category with Geo AI Readiness: AI Visibility (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars), Geo Score (jianruntech/geo-score, 582 stars), AI Visibility Audit (irinabuht12-oss/marketing-skills, 4.1k stars) and SEO (Nexus-JPF/note-companion, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Geo AI Readiness?
spronta (a GitHub organization) maintains it in spronta/crawlie, which has 114 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on July 18, 2026.
Source: spronta/crawlie on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.