> 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/fr/actions/workflow-concepts/workflow-steps/content-processing/group-keywords-into-clusters.md).

# Regrouper les mots-clés en clusters

L’étape « Regrouper les mots-clés en clusters » vous permet d’organiser une liste de mots-clés en clusters thématiques pertinents, basés sur la similarité sémantique. Cet outil puissant vous aide à identifier des groupes de mots-clés associés pour la planification et l’optimisation du contenu.

### Comment configurer l’étape Regrouper les mots-clés en clusters

* **Mots-clés**: Liste des mots-clés à regrouper en clusters sous forme de tableau JSON (c.-à-d. \["mot-clé a", "mot-clé b"]
* **Sensibilité du clustering**: Choisissez le niveau de sensibilité que vous souhaitez pour la logique de clustering :
  * Faible = nombre inférieur de clusters (regroupement plus grossier)
  * Élevé = nombre supérieur de clusters (regroupement plus fin)

### Format de sortie

L’étape Regrouper les mots-clés en clusters renvoie un objet JSON contenant les clusters de mots-clés organisés :

```json
[
 [
  "mot-clé 1",
  "mot-clé 2",
  "mot-clé 3",
  "mot-clé 4",
  "mot-clé 5",
  "mot-clé 6",
  "mot-clé 7"
 ],
 [
  "mot-clé 8",
  "mot-clé 9",
  "mot-clé 10",
  "mot-clé 11",
  "mot-clé 12",
  "mot-clé 13",
  "mot-clé 14"
 ],
 // Clusters de mots-clés supplémentaires ici
]
```


---

# 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/fr/actions/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.
