seo-drift

To monitor SEO drift, you capture a baseline of SEO-critical elements and compare the current page state against it to detect regressions over time. This process relies on Python scripts to parse HTML and fetch page data.

SEO baseline comparison is the process of storing a snapshot of critical page elements and evaluating future versions against it. You need it to detect regressions and track changes during SEO audits or performance monitoring.

You capture an SEO baseline for a URL by running a command like 'seo drift baseline [url]'. This fetches the page data and records the SEO-critical elements as a stored snapshot for future comparisons.

Yes, you need Python, Playwright, and sqlite3 to run SEO change tracking. Python scripts handle parsing HTML and fetching page data, sqlite3 stores baselines, and Playwright manages browser-based fetching.

Yes, you can review the history of SEO drift comparisons for a single page. The Skill stores all captured baselines and comparisons for a URL, allowing you to track changes and regressions over time.

The best way to detect SEO regressions without manual audits is using automated drift monitoring. By capturing baselines and comparing the current page state automatically, you instantly track changes to SEO-critical elements over time.