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.
npx skills add agentskillexchange/skills --skill audit-ai-search-citation-readiness-with-geo-optimizer
pip install geo-optimizer-skill or uvx --from geo-optimizer-skill geo audit --url https://example.com. For MCP use, run pip install geo-optimizer-skill[mcp] and add the server with claude mcp add geo-optimizer -- geo-mcp or the equivalent MCP-client configuration.Use this skill when an agent needs to evaluate and improve whether ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews can crawl, understand, and cite a website. The operator can run `geo audit`, `geo fix`, `geo llms`, `geo schema`, `geo citations`, and related checks, or expose the same workflow through the documented MCP server.
What this skill actually does
Invoke it instead of using the hosted product manually when the job belongs inside an agent or CI workflow: score a site, prioritize fixes, generate `llms.txt`, validate JSON-LD, inspect robots.txt AI-bot access, compare competitors, or produce machine-readable reports for follow-up edits. It is especially useful for repeatable SEO/AEO checks across docs, marketing sites, and client websites.
This is not just an SEO product card. The scope is the open-source `geo-optimizer-skill` operator workflow: CLI commands, an upstream `SKILL.md`, and MCP tools including `geo_audit`, `geo_fix`, `geo_llms_generate`, `geo_citability`, `geo_schema_validate`, `geo_gap_analysis`, `geo_check_bots`, and `geo_factual_accuracy`.
Install with `pip install geo-optimizer-skill` for CLI use or `pip install geo-optimizer-skill[mcp]` and `claude mcp add geo-optimizer — geo-mcp` for MCP clients.