Most SEO issues are invisible until they cost you rankings. A missing canonical tag, broken structured data, or duplicate meta description won't throw an error in the browser — but search engines notice immediately. The tools on this page exist to catch those problems before they reach production, turning what used to be a manual audit into an automated pre-deployment check that runs in seconds.
Every site I build goes through at least two of these tools before it ships. CrawlHound handles the broad sweep — crawling every page, validating Schema.org markup, checking Open Graph tags, and flagging thin content. The CLI audit tool handles the local side, scanning HTML files against a 15-point checklist before they ever leave my machine. Together, they create a two-layer safety net that catches issues at both the development and staging stages.
These aren't theoretical tools built for a portfolio demo. They run against real client sites with real traffic — copier dealers, pet grooming businesses, retirement planners, and marketing firms. The checks they perform are based on patterns I've seen cause actual ranking drops: missing hreflang tags on bilingual sites, JSON-LD errors that break rich snippets, image alt text gaps that hurt accessibility scores, and title tags that exceed Google's 60-character display limit.
Full SEO scanner web application built with FastAPI and Jinja2. Analyzes pages for technical SEO, Schema.org structured data, Open Graph tags, and AI-readiness factors — with downloadable reports.
Python CLI that scans static HTML sites against a 15-point checklist — titles, meta tags, Open Graph, JSON-LD, image alt text, hreflang, and canonical URLs. Run before every deployment.