How do you handle negative content in Google Image search?
Negative Google Image results are addressed through image optimization on owned properties, source-level removal where the host has a takedown process, authoritative competing imagery, and ImageObject schema where appropriate.
Image-search reputation is a discrete workstream because Image search ranks differently than 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 The common problems: an unflattering or outdated photo dominating the name query, a contextually damaging image (a protest, a mugshot, an embarrassing moment) ranking high, or competitor or hostile imagery appearing alongside the brand. The response: optimize owned-property imagery with current, professional photos, descriptive filenames, alt text, ImageObject schema, and embedding on high-authority pages. Pursue source-level takedown where the host has a process (most major platforms do for specific categories – mugshot sites, certain news outlets for outdated images, social platforms for policy violations). Build authoritative competing imagery on credentialed third-party sites (corporate coverage, conference appearances, association profiles) with strong surrounding context so the engine has positive material to rank.
Last reviewed: 19/05/2026