Step-by-step n8n workflow tutorials for automating core SEO tasks: keyword research, audits, content pipelines, and rank tracking.
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.
A production programmatic SEO pipeline in n8n + Python: enrichment that creates uniqueness, a quality gate that refuses thin pages, per-page JSON-LD, and an indexing controller that lifted indexation from 30% to 88%.
Stop losing rankings silently. A Python + n8n pipeline that pulls 16 months of GSC data, scores every URL for decay, and files refresh tickets weekly with a closed-loop verification step.
A production-grade n8n + Python workflow that ingests raw server logs, verifies Googlebot via reverse DNS, computes the four metrics that matter, and posts a daily Slack digest.
A complete teardown of the GSC Bulk Data Export to BigQuery to Looker Studio stack — with SQL views, AI Overview flagging, and an n8n daily health check.
A working Python + n8n pipeline that polls four AI surfaces every morning, scores brand mentions and citations, and pushes a daily delta report to Slack and Google Sheets. Includes the asyncio orchestrator, z-score anomaly detection SQL, and operational cost notes from three months in production.
A practitioner head-to-head on API depth, cost-at-scale, debuggability and AI-SEO fit — plus a working n8n flow for daily query intent clustering.