<a href="https://github.com/bytefer/geo-seo-codex" target="_blank" rel="noopener nofollow">geo-seo-codex</a> is a Codex skill bundle for GEO and SEO analysis. It installs <code>$geo</code> and <code>$geo-*</code> skill invocations into Codex and coordinates specialized skills, optional Codex subagents, Python utilities, schema templates, and report templates to audit a website and produce practical recommendations.
Use it to:
<ul>
<li>Run full GEO + SEO audits with a composite GEO Score from 0-100</li>
<li>Check whether AI crawlers can access important pages</li>
<li>Score content for AI citation readiness</li>
<li>Generate or validate <code>llms.txt</code></li>
<li>Audit brand authority signals across AI-cited platforms</li>
<li>Validate and generate <a href="http://Schema.org" target="_blank" rel="noopener nofollow">Schema.org</a> JSON-LD</li>
<li>Review technical SEO foundations that affect AI visibility</li>
<li>Produce client-ready Markdown and PDF reports</li>
<li>Manage prospects, proposals, and monthly progress reports for GEO services</li>
</ul>

bytefer

geo-seo-codex is an open-source toolkit that integrates GEO (Generative Engine Optimization) and SEO analysis capabilities into OpenAI Codex as a skill bundle. It provides $geo skill invocations to run full audits producing a composite GEO Score (0-100), check AI crawler access, score content for AI citation readiness, generate/validate llms.txt files, audit brand authority on AI-cited platforms, validate Schema.org JSON-LD, and produce client-ready Markdown and PDF reports. It also includes prospect and proposal management for GEO service workflows.

Geo-Seo-Codex: Open-Source GEO-First SEO Toolkit for Codex