> For the complete documentation index, see [llms.txt](https://docs.airops.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.airops.com/docs/de/aktionen/workflow-concepts/workflow-steps/content-processing/group-keywords-into-clusters.md).

# Keywords in Cluster gruppieren

Der Schritt „Keywords in Cluster gruppieren“ ermöglicht es Ihnen, eine Liste von Keywords anhand semantischer Ähnlichkeit in aussagekräftige, thematische Cluster zu organisieren. Dieses leistungsstarke Tool hilft Ihnen, verwandte Keyword-Gruppen für die Inhaltsplanung und -optimierung zu identifizieren.

### So konfigurieren Sie den Schritt „Keywords in Cluster gruppieren“

* **Schlüsselwörter**: Liste der zu clusternden Keywords als JSON-Array (z. B. \["keyword a", "keyword b"]
* **Clustering-Empfindlichkeit**: Wählen Sie aus, wie empfindlich die Clustering-Logik sein soll:
  * Niedrig = geringere Anzahl an Clustern (gröberes Clustering)
  * Hoch = höhere Anzahl an Clustern (feineres Clustering)

### Ausgabeformat

Der Schritt „Keywords in Cluster gruppieren“ gibt ein JSON-Objekt zurück, das die organisierten Keyword-Cluster enthält:

```json
[
 [
  "Schlüsselwort 1",
  "Schlüsselwort 2",
  "Schlüsselwort 3",
  "Schlüsselwort 4",
  "Schlüsselwort 5",
  "Schlüsselwort 6",
  "Schlüsselwort 7"
 ],
 [
  "Schlüsselwort 8",
  "Schlüsselwort 9",
  "Schlüsselwort 10",
  "Schlüsselwort 11",
  "Schlüsselwort 12",
  "Schlüsselwort 13",
  "Schlüsselwort 14"
 ],
 // Zusätzliche Keyword-Cluster hier
]
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.airops.com/docs/de/aktionen/workflow-concepts/workflow-steps/content-processing/group-keywords-into-clusters.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.