What problem does it solve?
SEO-Audit automates the tedious, manual process of checking SEO and AI/GEO signals across a website and turns detected issues into prioritized, actionable fixes you can preview or apply directly to the project.
Core Features & Use Cases
- 25-point prioritized audit spanning P0 (critical), P1 (important), and P2 (recommended) items including HTTPS, robots.txt, sitemap, TTFB, LCP/CLS, metadata, OG tags, canonical, Schema JSON-LD, and link structure.
- Two-tier data collection that uses Chrome DevTools when available for full CWV and Lighthouse metrics and falls back to WebFetch for static HTML, robots.txt, and sitemap analysis.
- In-place implementation: lets users select auto-applicable fixes (meta tags, JSON-LD, robots.txt, alt text, 404 pages) and applies edits to project files when the audited site matches the working directory; otherwise provides code snippets and guidance.
- State and references aware: reads optional AGNT_DIR state.json and local references to update journey brief and queue MCP events.
- Use case: quickly audit a landing page to fix missing OG tags, remove accidental noindex, and add FAQ schema to improve AI search visibility.
Quick Start
Ask the skill to audit a target URL and apply selected automatic fixes to the current project by saying: "Please run an SEO + GEO audit for https://example.com, show me issues, and apply all AUTO fixes."