How do you handle negative content in Google Image search?

Image-search reputation is treated as a discrete workstream, because the inputs that decide what ranks in Google Images, filename, alt text, image file metadata, surrounding page text, page authority, and image freshness, are not identical to the ones that drive web search. The common problems: an unflattering or outdated photo dominating the name query, a contextually damaging image (a protest, a mugshot, an embarrassing moment) ranking high, or hostile and competitor imagery appearing alongside the brand.

The three-layer response

1. Optimize owned-property imagery. Publish current, professional photos with descriptive filenames, natural alt text, and ImageObject schema, embedded on high-authority pages so they have the signals to rank for the branded query.
2. Pursue source-level takedown. Where the host operates a removal process, use it. Mugshot sites commonly maintain removal policies, sometimes tied to resolution or expungement of the underlying case, and several US states have passed laws restricting pay-for-removal and creating takedown obligations. Social platforms provide takedown mechanisms for terms-of-service violations such as harassment or false claims of identity. Availability varies by host and category, so takedown is pursued case by case rather than assumed.
3. Build authoritative competing imagery. Publish strong, on-brand images on credentialed third-party sites, corporate coverage, conference appearances, association profiles, with rich surrounding context, so the engine has positive, high-authority material to rank in place of the negative result.