Field notes
Negative results, decoded.
Why negative articles, records and complaint pages rank on your name, what AI assistants repeat about you, and how suppression actually works.
How ChatGPT decides what to say about you
AI assistants answer questions about you from a small set of sources. Here is how those sources get chosen, and why one negative page can define the whole answer.
A negative news article is on page one of your name. Now what?
One unflattering article can follow you for years. Here is a calm, practical sequence for pushing it down and rebuilding what people see first.
Attorneys: what Google AI Overviews say about you
AI Overviews summarize your name above the ten blue links. If a bar complaint or a case write-up is a top source, that summary carries it.
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 an AI keeps repeating something false about you
Hallucinations and name confusion are reputation problems, not glitches. What causes them and what actually reduces them.
Physicians: the problem is rarely the star rating
Board actions, malpractice write-ups, and complaint pages are what patients and AI assistants surface first. Reviews are the easy part.
Financial advisors: cleaning up your name inside the rules
A disclosure on your record or a complaint page ranking for your name is a compliance-safe problem to work. Here is how.
When a regulatory record outranks your own website
Licensing boards and enforcement databases rank easily on your name. What to do when a disciplinary record is your top result.
Complaint sites that rank for your name
Gripe pages are engineered to rank on personal and business names. Why they work, and the suppression path that handles them.
How long does suppression actually take?
An honest timeline for pushing negative results down, what drives the difficulty score, and what progress looks like month to month.