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

# Platform Comparison

> Compare your brand's performance across different AI platforms

Each AI platform draws on different sources and ranks brands differently. The **Platforms** page
(**Analysis → Platforms**) breaks every metric down by model so you can see where you're strong and
where you're invisible.

## Matrix View

A heatmap of entities (rows) against AI models (columns), each cell showing that brand's mention
rate on that platform. Rows are sortable by any column; your owned and primary entities sort first.

<Tip>
  Scan for columns where a competitor is dark green and you are pale — that's a platform-specific
  content gap, not a general visibility problem.
</Tip>

## Platform Performance

A trend chart with four metric tabs, plus a ranked table underneath:

| Tab                | What it plots                                                                       |
| ------------------ | ----------------------------------------------------------------------------------- |
| **Mention rate**   | Percentage of responses on this platform mentioning your brand                      |
| **Share of Voice** | Your brand's share of all mentions on this platform                                 |
| **Citation Rate**  | Percentage of this platform's responses that cite sources                           |
| **Avg. position**  | Average rank of your brand — the axis is inverted, so higher on the chart is better |

<Warning>
  Share of Voice on this page is computed from **raw mention counts** per model, while the Overview
  donut counts each brand once per response. The two numbers are both correct and will not match.
</Warning>

## Tags performance

A tag × model heatmap — "project brand visibility per tag, broken down by model". The icon toggle in
the card header switches between **Regular tags** and **Response tags**, and the card paginates
server-side (5, 25 or 50 rows per page).

Use it to find combinations rather than averages: a tag that performs fine overall can still be
invisible on one specific platform.

## Per-platform detail cards

One card per model, each showing **Mention rate**, **Avg. position**, **Share of Voice** and the
number of runs tested. Click **Show details** to expand two tables:

* **All Entities** — Entity, Mention rate, Share of Voice, Avg. position
* **All Sources** — Source, Citation Rate, Results, Pages

## Why it matters

Platforms differ in what they retrieve and what they trust:

* **ChatGPT** leans on a stable set of sites it treats as authoritative.
* **Perplexity** favours recent web content and cites heavily.
* **Gemini** and **AI Overview** reflect Google's index.
* **Claude** weights different aspects of a brand's description.

That makes platform-level reading actionable in a way an average never is: you can prioritise the
platforms your buyers use, tailor content to the sources a given platform actually cites, and catch
the moment a model update moves your numbers.