A page set can look clean in bulk and still hide bad titles, broken variables, or duplicated sections. Fix it with two layers: spot-checks and automated audits.
Spot-check 1-3% of URLs from each template, language, and data source. Look for empty fields, mismatched numbers, wrong canonicals, thin intros, and pages that only differ by one label. If a template fails on one sample, inspect the whole batch that shares the same rule.
Automated audits should run on the things humans miss at scale: missing meta tags, repeated H1s, near-duplicate body text, orphaned URLs, and pages with too little unique content. Add threshold alerts so you review exceptions, not every page. Keep a short QA log: issue, template, root cause, fix, and whether the same defect appears elsewhere.
The rule is simple: sample for meaning, automate for volume. If both layers flag the same problem, pause publication and fix the template before adding more URLs.
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Quality at scale breaks when you stop sampling the edge cases.
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