How to Build a SERP Rank Tracker With n8n: Scheduled Positions, Sheets History, and Alerts
Build a self-hosted SERP rank tracker in n8n: schedule daily checks, store position history in your own Google Sheet, and get alerted only when rankings move.
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Automate Competitor Content Monitoring with n8n
Build an n8n workflow that watches competitor RSS feeds and sitemaps and pings you the moment a rival publishes new content, with dedup and Slack alerts.
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How to Automate Broken Link Detection with n8n: A Self-Hosted Dead-Link Monitor
Build a self-hosted n8n workflow that checks your links on a schedule and alerts you the moment one breaks, plus when to use a crawler instead.
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n8n vs Zapier for SEO Automation: Cost at Scale, Task Limits & Self-Hosting
n8n vs Zapier for SEO: why per-execution vs per-task pricing decides cost at scale, plus scraping, publishing, and self-hosting compared.
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n8n vs Make for SEO Automation: Which Wins for Scraping and Publishing
n8n vs Make for SEO automation: how their billing models (executions vs operations), scraping power, and self-hosting decide which tool wins as you scale.
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n8n Workflow Status: How to Monitor, Alert, and Check Executions Remotely
How to check n8n workflow status: read execution state (Success, Error, Running), confirm a workflow is active, catch failures with Error Triggers, and get status alerts on your phone for self-hosted n8n.
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Build a Striking-Distance Keyword Finder in Python: Score GSC Opportunities by Position and CTR Gap
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.
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n8n vs Make vs Zapier for SEO Automation: A Practical Teardown
We rebuilt the same SEO workflow on n8n, Make, and Zapier to compare cost, control, and scaling. Here is which platform wins and when.
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Automate a Content Refresh Pipeline: Turn Decaying Pages into Prioritized Update Briefs (GSC + Python + LLM)
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.
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Automate Keyword Clustering at Scale: From a Raw Export to Content Topics with Embeddings + HDBSCAN
A working Python + n8n pipeline that groups thousands of keywords into content topics by intent using embeddings, UMAP and HDBSCAN.
