What problem does it solve?
Websites and content are increasingly discovered and cited by AI agents rather than human searchers, and many sites are invisible to those agents because of missing technical signals, blocked crawlers, thin content, or absent structured data. This Skill audits a site's codebase and makes prioritized, framework-aware code changes so AI engines can discover, parse, and quote content reliably.
Core Features & Use Cases
- Comprehensive AEO/GEO audit: Detects framework, checks robots.txt, meta tags, indexability, JSON-LD, schema types, canonical links, Open Graph, RSS/sitemaps, llms.txt, heading hierarchy, alt text coverage, and content depth across pages.
- Targeted code fixes: Produces minimal, framework-specific patches and examples for Next.js, Nuxt, SvelteKit, Astro, Remix, WordPress, Hugo, Jekyll, 11ty, and plain HTML to add metadata, JSON-LD, robots rules, llms.txt, and visible freshness signals.
- GEO content guidance: Rewrites content patterns to lead with direct answers, add quotations, statistics, FAQ sections, and quotable blocks to increase AI citation rates.
- Verification & workflow: Applies fixes in priority order (blockers first), recommends re-running the audit at aeo-audit.sh, and aims for an 80+ AEO score for production sites.
Quick Start
Ask the skill to "Run an AEO/GEO audit on my site and apply priority fixes to robots, JSON-LD, meta tags, llms.txt, and canonical/OG metadata."
