Core concepts

This page explains how Voxoria is organised and defines the terms you’ll see throughout the product and these docs. For the full definition of each metric, see the Metrics reference.

The hierarchy

Voxoria nests from billing down to individual AI answers:

• Account — your billing root.
• Organization — a workspace inside the account, where your team and projects live.
• Project — paired one-to-one with your own brand. A project holds everything Voxoria tracks for you.
• Inside each project: your brands (you plus competitors), prompts (the questions tracked daily), engines (the AI surfaces queried), and the AI answers captured from each run.

Everything you measure rolls up from the answers at the bottom of this tree.

Definitions

Project. The container for one brand you want to track. It’s paired one-to-one with your own brand and holds its competitors, prompts, engines, and captured answers. To set one up, see the Quickstart.

Own brand vs competitors. Each project has exactly one own brand — yours — plus the competitors you benchmark against. Competitive metrics like share of voice compare your own brand to this set.

Prompts. The buyer questions Voxoria tracks for you, like “best CRM for agencies”. Each prompt runs daily against your engines. A prompt belongs to a topic, can be generated by Voxoria or manual (authored by you), and has a status: active (tracked daily), inactive (paused — history kept, no new runs), or suggested (a candidate waiting for you to accept).

Topics. Themes that group related prompts — for example pricing, comparisons, or use cases. Topics let you read your results by buyer need rather than one question at a time.

Engines (channels). The AI answer surfaces Voxoria queries on your behalf — the major AI answer engines, including ChatGPT, Perplexity, Gemini and Google AI Overviews. You track up to three per project, and which engines are available depends on your plan.

AI answers (chats). One captured answer per prompt, per engine, per day. Every answer is broken down into mentions, sources, and sentiment — these captured answers are the raw material for all your analytics.

Mentions. Each time a brand is named in an answer. Mentions power visibility, share of voice, and where your brand sits in the order an answer lists brands.

Sources. The URLs an answer drew on. A source can be retrieved (the model fetched the page) and/or cited (shown as a visible footnote in the answer). These two are independent — a page can influence an answer without being cited, and a citation implies the page was used. Source metrics show which pages AI engines treat as evidence.

Sentiment. Each claim an answer makes about a brand is scored as endorsed, neutral, or undermined. These roll up into net sentiment, a score from −1 to +1 that tracks whether a brand’s narrative is helping or hurting it.

Audits. An on-demand, AI-driven analysis of a single tracked prompt. An audit produces a verdict, a scored rubric across dimensions, a prioritised action plan ranked by effort and impact, and a phased roadmap. It’s the flagship “take action” feature, and each audit costs 100 credits.

Credits. Prepaid units you spend on actions. Today only audits consume credits — at 100 per audit. Your plan includes a monthly credit allowance.