Old court records and arrest data that will not go away
Aggregators recycle public records forever. Here is why they keep ranking for your name, and how a suppression plan handles them.
Why it resurfaces years later
Public record data gets ingested, repackaged, and republished by dozens of aggregator sites. Each one builds a page around your name, adds a location and a date, and lets search engines index it. The original matter may be long resolved; the page does not know or care.
Because these pages are name-exact and structurally clean, they often rank surprisingly well — sometimes better than your own website.
What makes them tricky
- They multiply. One record can produce many near-identical pages.
- They are stale by design. Updates rarely propagate.
- They feed AI answers. Assistants treat a record page as a factual source and will surface it in a summary about you.
The realistic approach
Treat it as a ranking problem with a documentation layer.
**Ranking:** build a stack of accurate, current, substantive pages about you that legitimately deserve the top positions. Your own site, professional profiles, published work, interviews, association listings, and community involvement.
**Documentation:** if the record is inaccurate or has been resolved, keep the resolution documented on a page you control. That gives search engines and AI assistants current material to weigh against the aggregator copy, which matters more than most people expect for how an AI phrases its answer.
Measure it, then work it
Track each aggregator page by position and engine, monthly. Suppression progress is visible long before the pages fall off page one, and knowing which ones are moving tells you where to keep pushing.
Mirror.fyi identifies each item, scores overall difficulty, and prepares the plan. You do the publishing and submit the links back.