AI Brand Monitoring

Brand monitoring built for how people ask AI assistants about you

Every check keeps the full prompt, the full response, and a structured read of whether you were mentioned, so nothing about a run is hidden behind a single summarized number.

Free plan included. No card required.

Visibility score

0% in Gemini

ChatGPT
74%
Claude
55%
Perplexity
48%

Sample data shown for illustration.

Quick answer

What is AI brand monitoring?

AI brand monitoring watches how assistants describe your brand over time, not just how often they mention it. Visibility OS records every mention across five assistants with its sentiment, the position it appeared in, and the sources behind it, so a change in how you are described shows up as a trend rather than a surprise.

  • 1

    Each mention is classified by sentiment, so tone is tracked as well as volume.

  • 2

    Monitoring covers ChatGPT, Gemini, Claude, Perplexity and Grok from one set of prompts.

  • 3

    Prompts can be framed for any of 16 markets, so answers reflect how the question is asked locally.

  • 4

    Raw responses are retained, which makes it possible to see exactly what changed between two runs.

What monitoring watches

Sample figures, shown for illustration

Mentions

110

Across the tracked window

Positive sentiment

58%

How you are described when named

Prompts tracked

10 to 350

Depending on plan

Markets

16

Questions framed for each market

Why it matters

Why brand monitoring needs its own record

A dashboard score is useful, but the moment something looks off, you need the actual conversation that produced it, not a black box.

01

AI answers change between sessions. A monitoring run that only stores a score, and not the underlying response, gives you nothing to investigate when a number moves.

02

Mentions can be positive, neutral, or negative. A monitoring system that only tracks yes or no misses the tone that actually matters to a buyer reading the answer.

03

Competitors get mentioned in the same answers you do. A monitoring record that ignores them leaves you unable to tell if you are gaining or losing ground.

04

Every check is a real, paid API call. Monitoring should keep the result of that call, not just a derived stat, so the spend is never wasted.

How it works

How every check gets recorded

Nothing about a monitoring run is thrown away after the score is computed.

Step 01

The check runs against the real API

Your prompt goes straight to the engine's own official API. The full response text and any source citations returned are kept.

Step 02

A structured pass reads it

Mention, position, sentiment, and any competitors named in the same answer are extracted and stored alongside the raw response.

Step 03

It lands in your run history

Every check is grouped by the run it belonged to, with a date, an engine, and an outcome, so you can search back through exactly what happened.

What teams monitor for

Reputation shifts

Catch when descriptions turn negative before it spreads across engines.

New product launches

See how quickly assistants start naming a new line, and which sources taught them.

Category entries

Track whether you appear at all in a category you are trying to enter.

FAQ

Frequently asked questions

  • Both. Every check stores the full raw response text in run history, alongside the mention, position, and sentiment that were extracted from it.

Free to start

Start monitoring your brand across AI assistants

Set up your first prompts and see exactly what each engine says about you.

Free plan available. No card required.