AI Visibility Audit

Assess a public website for AI-mediated discovery, parsing, citation, and recommendation.

Workflow

1. Identify the site type: SaaS, ecommerce, marketplace, docs, blog, local business, portfolio, or other.
2. Check discoverability: robots.txt, sitemap, canonical URLs, status codes, noindex, redirects, and blocked assets.
3. Check machine-readable context: title, meta description, headings, internal links, schema markup, feeds, and llms.txt.
4. Check answer quality: product/service pages, pricing, policies, FAQs, docs, support pages, and comparison pages.
5. Check citation readiness: dated claims, sources, author/org identity, contact, support, and stable URLs.
6. Rank blockers by impact: critical, important, optional.
7. Produce a prioritized remediation plan.

Run the discoverability and machine-readable checks with the commands in references/checks.md and cite command output as evidence.

Delegation

This is the orchestrator: it finds and ranks blockers, then hands deep dives to the focused skills instead of redoing them inline: