# Media monitoring: definition, channels and choosing a provider

What media monitoring is, which channels it covers, how search setups and relevance filtering work, and what to check when you choose a monitoring provider.

**Media monitoring is the systematic tracking of coverage that mentions an organisation, brand, people, competitors or topics across print, online, TV, radio, podcasts and social media. It provides the raw material for press reviews, analysis and PR reporting.**

Media monitoring started as press clipping: readers scanned newspapers, cut out relevant articles and posted them to clients. The practice later extended to radio, television and the internet. Most of the work is now automated, but the principle has not changed. You define what to look for, a system or service finds matching coverage, and you end up with a set of clippings to work with.

## Which channels are monitored

Full monitoring covers several media types, and each is captured differently:

- **Online:** news sites, trade portals, blogs and press release wires. Crawlers and feeds pick up articles, usually within minutes or hours.
- **Print:** daily and weekly newspapers, trade and consumer magazines. Articles arrive as scans or as text supplied by publishers.
- **TV and radio:** broadcasts are recorded and transcribed so they become searchable.
- **Podcasts:** episodes are also indexed through transcripts.
- **Social media:** public posts on platforms such as LinkedIn, X, Instagram or YouTube, as far as each platform allows access.

### Why print is different

Print articles are protected by copyright, and copying or redistributing full scans generally needs permission from the rights holders. Monitoring providers therefore license print content, and the rules differ by country. This is why print monitoring is frequently priced separately and why scans may come with restrictions on internal sharing. For the main cost drivers, see [media monitoring cost](/en/blog/media-monitoring-cost).

## Setting up the search

The search setup decides the quality of the results. Too narrow and you miss coverage; too broad and you spend the day removing false hits. Here is an example for a fictional heat pump manufacturer called "Nordwerk":

| Element             | Example                                                                    |
| ------------------- | -------------------------------------------------------------------------- |
| Brand               | "Nordwerk", "Nordwerk GmbH", product name "NW Aero"                        |
| People              | CEO's name, press officer's name                                           |
| Exclusions          | "Nordwerk" together with "brewery" or "climbing gym" (unrelated namesakes) |
| Competitors         | three direct competitors and their product names                           |
| Topics              | "heat pump" AND ("subsidy" OR "building energy law")                       |
| Languages/countries | German and English; Germany, Austria, Switzerland, United Kingdom          |

Exclusions matter most for brands with common names. Also plan for spelling variants, abbreviations and special characters.

## Relevance and noise

Even a good search returns hits that match on paper but say nothing: stock tickers, job ads, auto-generated pages or articles where the brand only appears in a footer. Current tools pre-filter these with rules or AI models. Still review samples regularly, because every filter occasionally drops a relevant article.

## Alerts and outputs

For time-sensitive topics, set up alerts, for example an email when a specific outlet reports or volume suddenly spikes. This matters most in [crisis communication](/en/glossary/crisis-communication).

Typical outputs of media monitoring are:

- individual [press clippings](/en/glossary/press-clipping) with metadata such as outlet, date and a reach figure, for example the outlet's circulation or visits,
- a [press review](/en/glossary/press-review), compiled daily or weekly,
- analysis, up to a full [media content analysis](/en/glossary/media-content-analysis).

The [AMEC taxonomy](https://amecorg.com/amecframework/home/supporting-material/taxonomy/) lists media monitoring as a method at the output stage. Monitoring shows what was published, not what the audience noticed or believed.

## Media monitoring vs. social listening

The terms overlap but focus on different things. Media monitoring concentrates on editorial coverage written by journalists. Social listening analyses conversations among users on social networks and forums, often to understand sentiment and trends. Many teams need both but evaluate them separately.

## How to choose a provider

- **Coverage:** Which online sources, print titles, broadcasters and platforms are included? Ask the provider to confirm your most important target outlets.
- **Languages and countries:** Check that every market you report on is covered in its local language.
- **Licensing:** How are print and full-text content licensed, and may you share clippings internally?
- **Data protection:** Clippings contain personal data. Clarify the provider's role. Where the provider processes personal data on your behalf as a processor, conclude a processing agreement under [Article 28 GDPR](https://eur-lex.europa.eu/eli/reg/2016/679/oj). The [EDPB explains](https://www.edpb.europa.eu/sme/learn-the-basics/data-controller-or-data-processor_en) the difference between a controller and a processor. Also ask where data is hosted.
- **Reporting:** Can you turn results into reports without exporting them, and are metrics such as [share of voice](/en/blog/share-of-voice-pr) calculated transparently?

For a comparison of common tools, see [the best media monitoring tools](/en/blog/best-media-monitoring-tools).

## The newer extension: AI visibility

More people now ask ChatGPT, Gemini or Perplexity instead of a search engine. What these assistants say about a brand does not show up in traditional monitoring. PR teams have therefore started to monitor AI answers as well: whether the brand is named, in what tone and with which sources. Read more in [AI visibility explained](/en/blog/ai-visibility-explained).

## How aclipp handles media monitoring

aclipp provides global online monitoring across more than 150 million sources. Print, social media, podcasts, TV and radio can be added depending on the setup, as can your own feeds and manual clippings. AI helps filter out irrelevant hits and structure the data, which then flows straight into [reporting](/en/reporting). Monitoring of AI answers runs in the same workspace through [AI visibility](/en/ai-visibility). See [media monitoring with aclipp](/en/media-monitoring) for the product details.