Stop eyeballing the Search Console queries report. Build a Python pipeline that scores every GSC query by recoverable clicks and hands you a ranked SEO action queue.
A working Python pipeline that pulls GA4 organic sessions, strips out weekly seasonality with STL, scores residuals with robust statistics, and pings Slack the moment an organic traffic drop becomes statistically real.
We rebuilt the same SEO workflow on n8n, Make, and Zapier to compare cost, control, and scaling. Here is which platform wins and when.
A content refresh pipeline is the action layer on top of decay detection: score decaying pages by recoverable opportunity, diff them against SERP consensus, and generate specific LLM update briefs.
A code-first Python + n8n pipeline that tracks whether ChatGPT, Perplexity, and Google AI Overviews cite your site, so you can trend AI visibility like keyword rankings.
Stop shipping SEO changes on vibes. Run rigorous page-level A/B tests with Python: control/variant groups, causal inference (CausalImpact + difference-in-differences), and an n8n loop on Google Search Console data.
A lightweight, code-first pipeline that snapshots your backlink profile daily, diffs it, and alerts only when something material changes — a strong link lost, a nofollow flip, or an anchored spam cluster.
A working Python + n8n pipeline that groups thousands of keywords into content topics by intent using embeddings, UMAP and HDBSCAN.
Build a pipeline that finds CTR-decayed pages in Search Console, rewrites their title tags and meta descriptions with an LLM, QA-gates the output, and ships the winners.
Build an automated 301 redirect mapper that matches old URLs to new ones by meaning with sentence embeddings, confidence thresholds, and post-launch validation.