Audit AI search citation readiness with GEO Optimizer
Use GEO Optimizer from the CLI or MCP so agents can audit a site for AI search visibility, generate llms.txt/schema fixes, check bot access, and track citation readiness.
Install
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/audit-ai-search-citation-readiness-with-geo-optimizer
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
git clone https://github.com/agentskillexchange/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
Audit AI search citation readiness with GEO Optimizer
Use GEO Optimizer from the CLI or MCP so agents can audit a site for AI search visibility, generate llms.txt/schema fixes, check bot access, and track citation readiness.
Prerequisites
Python 3.9+; geo-optimizer-skill package; optional MCP client such as Claude Code, Cursor, Windsurf, or another MCP-capable runtime; optional Perplexity/OpenAI/Anthropic keys for live citation checks
Installation
Install the CLI package:
- pip install geo-optimizer-skill
Prerequisite: Python 3.9 or newer. To run one audit without installing into the current environment:
- uvx --from geo-optimizer-skill geo audit --url https://yoursite.com
After installation, run a basic audit:
geo audit --url https://yoursite.com
Extracted from upstream docs: https://raw.githubusercontent.com/Auriti-Labs/geo-optimizer-skill/HEAD/README.md
Documentation
Source
Files (skills)
-
SKILL.md 1.8 KB
--- name: "Audit AI search citation readiness with GEO Optimizer" slug: "audit-ai-search-citation-readiness-with-geo-optimizer" description: "Use GEO Optimizer from the CLI or MCP so agents can audit a site for AI search visibility, generate llms.txt/schema fixes, check bot access, and track citation readiness." github_stars: 611 verification: "security_reviewed" source: "https://github.com/Auriti-Labs/geo-optimizer-skill" author: "Juan Camilo Auriti / Auriti Labs" publisher_type: "organization" category: "Content Writing & SEO" framework: "MCP" tool_ecosystem: github_repo: "Auriti-Labs/geo-optimizer-skill" github_stars: 611 --- # Audit AI search citation readiness with GEO Optimizer Use GEO Optimizer from the CLI or MCP so agents can audit a site for AI search visibility, generate llms.txt/schema fixes, check bot access, and track citation readiness. ## Prerequisites Python 3.9+; geo-optimizer-skill package; optional MCP client such as Claude Code, Cursor, Windsurf, or another MCP-capable runtime; optional Perplexity/OpenAI/Anthropic keys for live citation checks ## Installation Install the CLI package: - pip install geo-optimizer-skill Prerequisite: Python 3.9 or newer. To run one audit without installing into the current environment: - uvx --from geo-optimizer-skill geo audit --url https://yoursite.com After installation, run a basic audit: - geo audit --url https://yoursite.com - Source: https://github.com/Auriti-Labs/geo-optimizer-skill - Extracted from upstream docs: https://raw.githubusercontent.com/Auriti-Labs/geo-optimizer-skill/HEAD/README.md ## Documentation - https://auriti-labs.github.io/geo-optimizer-skill/ ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/audit-ai-search-citation-readiness-with-geo-optimizer/)
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