You recommend, someone else implements, and the loop closes by email if it closes at all. It ships partially, or on a subset of templates, or on staging in June and production in August. Meanwhile the client believes it was done in June and judges the next three months accordingly.
This is worth solving before anything more sophisticated, because every measurement downstream depends on the landing date being right.
The method
- Keep the affected URL listWhen you raise a recommendation, keep the exact list of URLs it covers. Not the pattern: the URLs. The pattern is for talking to people, the list is for checking.
- Watch the fields, not the pageCompare a hash of the SEO-relevant fields — title, description, canonical, robots directives, headings, structured data types. A page whose HTML changes hourly will otherwise report a change hourly and be ignored within a week.
- Require all of them, not mostA fix that landed on 380 of 400 pages is not landed; it is a second cause with a smaller pattern. Treating it as done is how a partial deploy becomes a mystery six weeks later.
- Record the date the defect disappearedNot the date of the pull request, and not the date someone told you. The date the site stopped showing it, which is the only one search engines experienced.
- Say nothing about impact yet'Landed' means the defect is undetectable. It is not a claim that anything improved, and a report that blurs the two is making the claim it exists to test.
The same watch catches regressions
Once you are comparing each page against its previous state, a fix landing and a template regressing are the same detection running in two directions. The Tuesday deploy that dropped every description in a section shows up in the same pass as the fix you were waiting for.
That symmetry is a reason to trust it. Code that only ever looks for good news gets tested only against good news.
Why not just ask for a deploy notification?
Take it if you can get it, as a trigger to check sooner. It is not a substitute: a deploy notification says code moved, not that the defect is gone from every affected URL, and those differ more often than anyone expects.
How often should the check run?
Often enough that the landing date is accurate to a day or two, since it decides which month the effect falls in. Watching a small set of fields on a small set of URLs is cheap enough to do daily.
Try it on your own site, free
No card, and the free tier does not expire — the first verdict takes about six weeks to arrive.