Treat your XML sitemap as a pipeline, not a file. A working Python workflow to dynamically generate, split under the 50k-URL limit, validate, and reconcile sitemaps against Search Console for large sites.
Choosing an embedding model for SEO isn’t a leaderboard question. A practitioner’s framework for OpenAI vs Voyage vs Cohere vs BGE, with a reproducible AUC benchmark, the dimension trade-off, and the cost math at scale.
Raw-HTML crawlers miss the JavaScript-rendered web. A hands-on comparison of Playwright, Puppeteer, and Selenium for SEO automation — rendering JS pages, capturing Core Web Vitals, and crawling at scale, with working code.
Which scraping backbone should power your SEO data pipeline? A production teardown of Bright Data, Apify, and ScraperAPI across SERP collection, competitor crawling, and structured extraction — with code, failure modes, and a cost-per-record model.
An automation-first comparison of Screaming Frog CLI, Sitebulb, and a custom Scrapy crawler for unattended technical SEO crawling pipelines.
Pull p75 Core Web Vitals field data from the free CrUX API, detect regressions across your URLs, and fire Slack alerts with a self-hosted Python and n8n pipeline.
GSC, SEMrush, and Ahrefs look interchangeable for a custom rank tracker and are anything but. A developer teardown of measured vs modeled positions, the code, the quotas, and the cost.
A teardown of an agentic SEO auditor built on Claude Code that crawls, diffs against history, and files engineering-ready GitHub issues — including architecture, the agent prompt that worked, and eight weeks of real ticket data.
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 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.