A Python audit that harvests parameterized URLs, classifies them into pagination, sort, and filter buckets, checks canonical and robots handling, and ranks the crawl traps inflating your index.
A Python pipeline to audit canonical tags at scale: catch conflicting signals, canonical chains, non-indexable targets, normalization mismatches and sitemap disagreements before they cost you rankings.
Build a Python keyword research pipeline that harvests seeds, expands with Google Autocomplete, mines People Also Ask, and scores opportunity on your own terms.
A weekly Python pipeline that extracts every hreflang annotation, verifies reciprocity, validates language codes, and checks target health — alerting only when a cluster actually breaks.
Detect real keyword cannibalization from Search Console query-and-page data with a Python pipeline that measures impression share and week-to-week position flips, then routes each case to consolidate, differentiate, or demote.
Aggregate traffic hides per-URL content decay. Build a Python pipeline that pulls 16 months of Search Console data, uses the Mann-Kendall test and Theil-Sen slope to tell real decline from seasonality and noise, and outputs a ranked refresh queue.
Embeddings measure meaning; near-duplicate pages are about shared text. Here is the MinHash + LSH pipeline in Python that catches variants, boilerplate, and templated thin content at scale — and a decision framework for what to consolidate, canonicalize, or prune.
Orphan pages receive no internal links, so Google crawls them rarely and ranks them poorly. Here is a Python pipeline that joins your internal link graph with Search Console to surface and prioritize them automatically.
A Python pipeline that audits your XML sitemap like a skeptical crawler—expanding sitemap indexes, fetching every URL, and classifying redirects, 404s, noindex, and non-canonical entries into an actionable triage list.
Structured data breaks silently when deploys, plugins, or CMS changes drop a required field, and you lose rich results with no alert. Build a Python pipeline that extracts, validates, snapshots, and diffs schema across your whole site to catch regressions the day they ship.