# Reputation management: definition, drivers and measurement

What reputation management is, how reputation differs from image and brand, what drives it, and how to measure it with media monitoring and AI answers.

**Reputation management is the systematic work on how an organisation is regarded by its stakeholders. It covers monitoring media, reviews and AI assistant answers, building trust through actions and communication, and responding to criticism.**

Customers read reviews, candidates check employer rating sites, journalists look up past coverage, and more and more people simply ask ChatGPT. Together these sources form a picture of your organisation that no press release can fix in place. Reputation comes from what an organisation does and from what others say about it. Reputation management connects the two.

## Reputation, image and brand

The three terms are often used interchangeably, but they mean different things:

- **Image** is the picture a group holds at a given moment. It can shift quickly after a campaign or an incident.
- **Reputation** is the judgement built up over years about whether an organisation can be trusted and keeps its promises. It draws on the experiences and opinions of many stakeholders, not only customers.
- **Brand** has two sides: brand identity, meaning what an organisation intends to be and signals through its name, promise and design, and the associations people actually hold about it. You set the identity. What others associate with your brand, and the reputation they grant you, is up to them.

## What drives reputation

A widely used model comes from RepTrak, which grew out of studies by the Reputation Institute. RepTrak describes reputation as the emotional connection stakeholders have with a company and names seven drivers:

1. Products and services
2. Innovation
3. Workplace
4. Conduct (ethics, transparency, fairness)
5. Citizenship
6. Leadership
7. Performance

In 2015, Charles Fombrun, Leonard Ponzi and William Newburry tested the seven dimensions empirically in Corporate Reputation Review, across five stakeholder groups in six countries. The lesson for PR: communication cannot replace any of these drivers. It makes visible what a company does on each of them, and it shows where claims and reality diverge.

## The building blocks

### Listening

Reputation management starts with [media monitoring](/en/glossary/media-monitoring): online and print media, social media, review sites and employer ratings. AI assistants such as ChatGPT, Gemini, Perplexity and Google AI Overviews now belong on that list. They condense published sources into a single answer and so shape what people learn about a brand. See [AI visibility explained](/en/blog/ai-visibility-explained).

Online reputation management, often shortened to ORM, is a narrower specialism. It focuses on search results, review sites and social platforms, while reputation management also covers media relations, conduct and stakeholder research.

### Building trust

Independent coverage, or [earned media](/en/glossary/earned-media), can gain credibility through independent editorial scrutiny. Owned content such as a newsroom, expert articles and answers to common questions supplies the facts that journalists and AI assistants can draw on.

### Responding to criticism

Criticism in the media, in comments or in reviews calls for a factual, timely reply. Admitting a mistake and saying what will change is more convincing than denial or silence.

### Being prepared

Unresolved issues turn into crises. [Issues management](/en/glossary/issues-management) spots them early, and a [crisis communication](/en/glossary/crisis-communication) plan sets out who speaks and who signs off when it matters.

## Measuring reputation

No single number captures reputation. A useful picture combines several measures:

- **Sentiment over time:** how positive, neutral or negative is the coverage? See [PR sentiment analysis](/en/blog/pr-sentiment-analysis).
- **[Share of voice](/en/blog/share-of-voice-pr):** how large is your share of coverage compared with competitors?
- **Review ratings:** average score and volume on the sites that matter in your sector.
- **Surveys:** stakeholder research, for example along the seven drivers.
- **AI assistant answers:** do assistants mention your brand, with which attributes, and based on which sources?

A [media content analysis](/en/glossary/media-content-analysis) brings the media measures together in one report.

## Example: a fictional manufacturer

The company and all figures are invented. A bicycle maker, here "Brunnthal Bikes", has had a year of delivery delays. The team records a baseline, explains the problem in an open statement with new delivery times, answers reviews one by one and gives trade journalists a look at its new logistics.

| Measure                                                | Baseline                   | After six months                   |
| ------------------------------------------------------ | -------------------------- | ---------------------------------- |
| Share of negative coverage                             | 38%                        | 17%                                |
| Share of voice among five competitors                  | 14%                        | 19%                                |
| Average rating in the online shop                      | 3.6 out of 5               | 4.1 out of 5                       |
| AI assistant answer to "Are Brunnthal Bikes any good?" | mentions delivery problems | mentions quality and delivery time |

Older coverage can remain visible in AI answers. Track a fixed set of stakeholder questions across several providers and repeat the check over time. Do not infer recovery from a single answer.

## Ethics: no fake reviews

Bought or self-written reviews are not reputation management. The EU Omnibus Directive (EU) 2019/2161, applicable since 28 May 2022, added two practices to the list of commercial practices that are always unfair. It is banned to submit or commission fake consumer reviews or endorsements, or to misrepresent reviews, in order to promote products. It is also banned to claim that reviews come from people who actually used or bought the product without taking reasonable and proportionate steps to check this. Germany implemented both rules in the annex to its Act against Unfair Competition (UWG).

## How aclipp helps

In aclipp, [media monitoring](/en/media-monitoring) with global online monitoring across more than 150 million sources shows how sentiment and share of voice develop against your baseline. With [AI visibility](/en/ai-visibility), you ask ChatGPT and other AI assistants the same questions about your brand at regular intervals and see which attributes and sources they cite. That shows whether older coverage still shapes the answers.