Findable: AI-Powered SEO Optimization for Codex & More

Findable: AI-Powered SEO Optimization for Codex & More

The Findable skill autonomously conducts SEO and GEO research, searches for best practices, applies safe improvements automatically, and documents sensitive changes. It supports developers in enhancing their project's search engine visibility and AI discoverability by continuously analyzing and updating relevant factors.

What this skill does

• Findable autonomously searches platforms such as GitHub, GitLab, Google, forums, and documentation for current SEO and GEO best practices.
• It reads the project's existing setup to understand its technical stack and context.
• The skill applies safe changes immediately, making additions and updates to files and metadata.
• For sensitive changes, Findable generates or updates a TODO SEO.md file with detailed information on the proposed changes.
• It reports on findings, changes applied, and those queued for review. The process repeats until deactivation by the user.

Who it is for

This skill is designed for developers and teams using AI coding agents such as Claude Code, Cursor, and Codex, who seek to optimize their project's SEO and AI visibility without continuous manual intervention.

Use cases

• Developers maintaining large repositories who need efficient and continuous SEO improvements without manual research.
• Project teams aiming to enhance their product’s visibility on AI platforms by implementing best practices found in dynamic tech community discussions.
• AI coding environments requiring automated generation and management of site-specific files for structured data and crawlability.

Technical details

• Utilizes sources like GitHub, GitLab, Google Search, Hacker News, dev.to, and Reddit communities.
• Focuses on SEO aspects including technical SEO, on-page optimizations, structured data, Core Web Vitals, sitemaps, and more.
• Addresses GEO by researching how AI systems discover, crawl, and recommend content, including adherence to AI-readable standards like llms.txt.
• Ensures compliance with public data access and respects the target site's terms by targeting publicly available information only.

Source & Licence

This package is built on open-source work published by obrenoalvim (obrenoalvim/findable) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.