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Glossary · Definition

Reputation management

Reputation management is the practice of monitoring, influencing and responding to how an organization or person is perceived by the public, customers, regulators and the media.

Last updated September 28, 2026

What it involves

Reputation management combines listening and action. Listening means tracking coverage, reviews and conversation, so the organization knows what is being said and by whom. Action means correcting inaccurate information, responding to legitimate criticism, publishing authoritative content about the organization, and changing the underlying behavior that generated the criticism.

The last item is the one most often skipped. Perception is downstream of conduct, and no messaging strategy durably offsets a real product, service or governance problem. Search results and review platforms are also part of the surface a reputation team manages, as are, increasingly, the answers AI assistants give (see AI visibility).

Why it matters to communications and risk teams

A reputation is built from many separate interactions, and the team responsible needs a consistent view across news, social, reviews and regulatory filings. Good practice ties reputation work to crisis communications planning, so the response to a fast-moving story is rehearsed before it is needed, and to media monitoring so that the evidence base is shared.

Common misconceptions

Reputation management is not the removal of negative content. Most legitimate coverage and reviews cannot and should not be removed, and attempts to suppress them often draw more attention. It is also not the same as public relations, which is one of its tools. And a single metric, such as a sentiment score, does not capture reputation; see sentiment analysis for what that measure can and cannot show.

See how these signals show up in your own coverage on the PeakMetrics platform or run the free AI Perceptions check. Back to the glossary.

Track these signals in your own coverage.

PeakMetrics follows news, social and broadcast sources, and what AI assistants say about your organization.