Technical SEO Audit
/seo-audit
Claude Code reviews your technical SEO data, crawl reports, and Search Console output to identify the issues most likely to suppress rankings. It prioritizes by impact so engineering time goes to fixes that move the needle, not cosmetic changes.
What this skill does
Analyze Core Web Vitals scores and identify the specific elements causing LCP, CLS, or INP failures
Review crawl reports for indexing gaps, redirect chains, and canonicalization errors
Audit structured data implementation for errors that block rich result eligibility
Map site architecture issues including crawl depth and internal link distribution
How to use it
Gather your data
Export Search Console performance and coverage reports, run a crawl with Screaming Frog or Ahrefs, and pull Core Web Vitals data from PageSpeed Insights.
Run /seo-audit
Share the data with Claude Code and describe your site type, CMS, and any known issues you're already tracking.
Prioritize the fixes
Claude Code returns issues grouped by impact tier with fix recommendations and effort estimates.
Example prompts
$Here's my Screaming Frog crawl export for a 3,400-page e-commerce site. Find the technical issues most likely suppressing rankings.
$Our Search Console shows 800 pages excluded from the index. Here's the coverage report. Diagnose what's causing this.
$Run a technical audit on this URL list. We relaunched 6 months ago and organic traffic is still 40% below pre-launch levels.
Who it's for
SEO managers diagnosing post-migration traffic drops after a site redesign
Technical SEOs producing audit deliverables for new client onboarding
Development teams prioritizing a backlog of SEO fixes against engineering sprints
Frequently asked questions
What crawl tool should I use before running this?
Screaming Frog, Sitebulb, or Ahrefs Site Audit all produce detailed crawl exports that work well. Claude Code can interpret exports from any tool that outputs structured data. Even a Screaming Frog free tier crawl of up to 500 URLs gives enough data for a meaningful audit.
Does Claude Code fix the issues or just identify them?
It identifies and explains each issue, provides the fix recommendation, and where applicable gives you the exact code change needed. For structured data errors, it generates corrected JSON-LD. For meta tag issues, it writes the corrected tags.
How does it prioritize which issues to fix first?
Claude Code weighs impact (how many URLs are affected, how much traffic is at risk) against effort (complexity of the fix). High-impact, low-effort issues always come first.
Skills that pair well
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