# Parse

- **Website:** <https://parse.gl>
- **Primary alias:** `parse.gl`

## Description

Parse is an innovative data platform designed to help brands navigate the evolving landscape of artificial intelligence. In an age where large language models (LLMs) are shaping consumer opinions and buying decisions, Parse provides critical insights into how your brand is perceived across various AI sources. With its ability to track mentions, measure sentiment, and analyze competitor visibility, Parse empowers brands to enhance their reputation and improve their performance in AI-generated recommendations.

The platform continuously monitors prominent AI models, offering actionable insights that enable businesses to outrank competitors and effectively manage their online presence. Parse also features a comprehensive LLM visibility index, which scores how often and positively a brand is mentioned in AI responses. This invaluable data helps brands understand their standing, refine their marketing strategies, and make data-driven growth decisions. Whether you're aiming to improve customer recommendations or simply want to keep tabs on your brand's presence in AI discussions, Parse is your go-to solution for actionable intelligence in the age of AI.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_
- 📊 Business and Consumer Services
- 📊 Marketing and Advertising _(under Business and Consumer Services)_

## Logos & icons

- logo _(primary)_ — SVG, PNG — [download](https://cdn.brandfetch.io/idXMtNvGr9/theme/dark/logo.svg?c=1bxid64Mup7aczewSAYMX&t=1786000483583)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Black | #000000 | dark |
| White | #ffffff | light |
| Nile Blue | #16314e | accent |

## Fonts

- var(--default-font-family — asset _(custom)_
- var(--font-sans) — asset _(custom)_

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_Source: <https://brandfetch.com/parse.gl>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._