---
title: "Overview"
description: "A historical view of your mention rate across all tracked prompts, compared to competitors over time."
---

> Documentation Index
> Fetch the complete documentation index at: /llms.txt
> Use this file to discover all available pages before exploring further.

# Overview

![Airefs share of voice dashboard showing brand mention percentage and trend line vs competitors over 90 days](/img/blog/airefs-review/share-of-voice.png)

Share of voice — your mention rate vs. competitors over 90 days

The Overview is populated once your prompts have completed a scheduled run. Prompts run once per day by default — data appears the morning after your first run.

## Share of voice leaderboard

Below the chart, the **Share of voice** leaderboard ranks every tracked brand across your prompts. Two tables sit side by side: **Mentions** and **Citations**. Mentions is the share of prompts where a brand appeared. Citations is the share where they were linked as a source.

![Share of voice leaderboard showing two side-by-side tables — Mentions and Citations — ranked by percentage across all tracked prompts](/img/blog/airefs-review/share-of-voice-leaderboard.png)

Mentions vs. Citations — two separate rankings across all tracked prompts

Your brand is highlighted so you can see your rank at a glance. Mentions show who the AI recommends. Citations show whose content the AI trusts.

High citations with low mentions means content influence without top placement. High mentions with low citations means brand recognition without sourcing authority. Both gaps point to different fixes.

## Your mention rate over time

The Overview is a historical graph of how often you’re mentioned across your prompts versus your competitors. Each data point is a daily snapshot of your mention rate — the percentage of prompts where your brand appeared in the AI response.

For most teams, the first surprise is seeing how invisible they are in queries where competitors appear regularly. Those competitors rank because specific articles and Reddit threads influence the AI’s answers — content that can be identified and displaced with the right effort.

## Filters

Use the **tag filter** to isolate a specific topic cluster — for example, to separate category winner prompts from informational ones. Use the **country filter** to see a specific market. Change the **date range** to compare periods before and after publishing a new piece of content or joining a thread.

## Reading trends

The Overview is your check-in view. An upward trend in mention rate confirms that your AEO work — content published, discussions joined, Reddit threads engaged — is having an effect. A flat or declining line is a signal to dig deeper.

If your mention rate drops, check the [Sources](/docs/sources/) page to see if any highly-cited URLs changed. Also check the [Prompts](/docs/prompts/) page to identify which queries drove the decline.

Filter by tag to separate the signal. If category winner prompts are declining but informational ones are flat, the problem is positioning — not content discovery.

Source: /docs/overview/