> ## Documentation Index > Fetch the complete documentation index at: https://chatobserver.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # How do I organise AI monitoring prompts with groups and personas? > Group prompts by topic and assign audience personas to keep your AI visibility research organised. Use **Groups** for collections of related questions and **Personas** for hypothetical audiences. Both organise your monitoring programme; a persona assignment does not rewrite the question sent to an AI platform. Group comparison chart for branded and unbranded prompts ## Group related questions Create groups around a product category, market, customer need, or campaign. Assign prompts in the prompt editor or through the available bulk actions. Use descriptive names such as “UK accounting comparisons” rather than a label that only one team member understands. Keep branded and unbranded research distinguishable. A group of questions naming your brand should not be interpreted as a neutral test of category discovery. ## Define an audience persona Create a persona with a name and occupation, then add relevant profile details. Assign the prompts that belong to that audience. A persona is an organisational description, not a real customer profile or evidence of how that audience behaves. If audience context should influence the answer, put that context in the question itself. For example, “Which accounting tools suit a freelance designer?” explicitly asks about that audience. Attaching a persona alone does not add those words to the monitored prompt. ## Use the same structure in integrations The public API calls prompt groups **tags** and exposes them with `tag_` identifiers. It exposes persona assignments with `per_` identifiers. These represent the same workspace organisation used in the dashboard, so integrations can preserve your grouping when [creating or exporting prompts](/docs/developers/manage-prompts).