---
title: "About Menciona"
description: "Why Menciona exists, how we think about AI visibility, and why the product stays focused on data, MCP, and fixes."
lang: en-US
---
# About Menciona

We help brands see and improve how AI talks about them.

Buyers already ask ChatGPT, Gemini, Google AI Mode, and Perplexity which brands to trust, yet most teams have no idea when they are mentioned, why competitors show up, or what to fix next. We built Menciona to close that gap.

## Why we built it

We built Menciona after searching for a way to track AI visibility and finding nothing good under $100 a month. Quality monitoring was locked behind enterprise pricing, so we set out to make it genuinely accessible without compromising on the data.

And the data is where most tools compromise. Simply calling the model APIs returns noisy, low-value answers that do not reflect what real buyers see. Instead, we simulate a real user question in an actual browser, from the geolocation that matters for each prompt, so what you measure is what your market actually gets.

## What we believe

Good GEO work is not about publishing more. It is about being easy to understand. When your site clearly explains what you do, who you serve, and how you compare, AI systems have something solid to mention, and they start repeating it.

## How the product stays lean

Menciona tracks prompts, answers, competitors, sources, audits, and fixes. The dashboard keeps historical data visible, even after a subscription is canceled, and the MCP server lets users bring that data into the AI assistant they already prefer.

## Where we are

Menciona is built and run from Rio de Janeiro by a small team. That shapes the product: fewer layers, faster decisions, and a bias toward features that turn into work you can actually ship.