A monthly Python pipeline that pulls two Search Console windows, ranks decaying posts by lost clicks, and separates true content decay from an algorithm hit.
An opinionated, GitHub-ready library of SEO automation scripts in Python and n8n, organized by job-to-be-done, with a decision rule, repo structure, and the maintenance tax most guides skip.
SEO reporting is high-frequency, low-value work: the ideal first thing to automate. Here is a no-code pull-transform-deliver pipeline and where it breaks.
How to build an SEO automation workspace on Google Workspace plus a thin layer of scripts — the four layers, a reference setup, and the governance that keeps it running at scale.
An internal linking agent closes the loop a suggestion engine leaves open: it perceives your link graph, decides which links are justified, and applies them itself — inside guardrails, a review queue, and full rollback. Here’s how to build one responsibly.
A practical, compliance-safe guide to link building automation in 2026: what to automate (prospecting, enrichment, tracking), what to never touch, the tool categories that help, and a realistic n8n workflow.
The native functions, add-ons, an Apps Script, and free templates that turn Google Sheets into a real SEO tool for audits, GSC reporting, and competitor monitoring.
Semrush’s API is gated behind a $549/mo plan plus metered units. For automated rank tracking you don’t need it — here are the cheaper alternatives (DataForSEO, Serpstat, SerpApi, budget SERP endpoints) with real 2026 pricing and a working Python tracker.
Which “free” SEO tools actually survive being scripted every day? A job-by-job map of the genuinely free building blocks and where each free tier stops working.
n8n vs Power Automate compared for SEO: pricing, custom code, self-hosting, governance, a task-by-task table, and a clear rule for which to choose.