seo-drift

To track SEO drift over time, capture a baseline of SEO-critical elements like title, meta, canonical, and schema, then compare the current page state against that baseline to surface regressions and generate history reports.

SEO drift is the unintended change of on-page SEO elements over time. Monitor it by capturing baseline page states and computing rule-based diffs to detect regressions in titles, meta tags, canonicals, and schema.

Compare SEO elements before and after deployment by fetching and parsing the page, then running a rule-based comparison against a stored local data cache baseline to produce reliable diffs and recommendations.

Yes, you can baseline Core Web Vitals, schema, Open Graph tags, H1/H2 structure, and page status codes to establish a deterministic reference point for ongoing SEO auditing and regression monitoring.

Yes, this approach operates with no external dependencies, using a deterministic fetch and parse pipeline with a local data cache to compute rule-based comparisons for reliable baseline and drift detection.

Automate SEO regression checks by applying a deterministic pipeline across baseline, compare, and history workflows for multiple URLs, storing results in a local cache to track changes and surface drift reliably.