GaugeAn AI visibility platform that tracks brand mentions in LLM answers and recommends content and actions to improve presence.

4.7 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

AI Visibility Brand Monitoring LLM Analytics SEO Content Strategy Marketing Analytics

Overview

Gauge is an AI visibility platform that monitors AI-generated answers across multiple models like ChatGPT, Claude, and Gemini to detect brand mentions. It helps users understand their brand's presence in AI, analyze cited content, and identify gaps where the brand is invisible. Gauge provides recommendations to improve brand presence in AI, including onsite and offsite actions. The platform is designed for teams to write new content, audit existing pages, target high-value affiliates, and engage with social sources like Reddit.

Key features

Brand mention tracking across ChatGPT, Claude, Gemini, and more
Content analysis and gap identification
Onsite and offsite recommendations
Content creation and audit tools
Targeting high-value affiliates and social sources

Pricing

Model: Freemium
Category: Marketing AI Agents
Rating: 4.7 / 5 (6)

Use cases

Track Brand Mentions in LLM Answers

Monitor how often and in what context your brand appears in responses from large language models to understand your AI search visibility.

Benchmark Against Competitors

Compare your brand's presence in LLM-generated answers against competitors to identify visibility gaps and opportunities.

Guide Content Strategy for AI Search

Receive content recommendations designed to improve how your brand surfaces in AI-driven answers and conversational search results.

Take Action to Improve AI Presence

Follow recommended actions to boost brand mentions and influence in LLM outputs, optimizing for the shift from traditional search to AI answers.

Pros & Cons

Pros

Provides clear recommendations to improve AI visibility
Tracks brand mentions across multiple AI models
Helps identify gaps in brand presence
Offers a complete toolkit for AI search optimization

Cons

Dependence on accurate AI model data
Potential complexity in implementing recommendations

Reviews

4.7

Average from 6 ratings.

Tomáš Novák

May 9, 2026

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on the API, and it saves real time caught me off guard. still, I'd recommend giving it a real trial.

Ingrid Bauer

Mar 12, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: the core workflow and it saves real time. On balance the feature set — especially the integrations — justifies the 5 stars for our use case.

Leila Hassan

Feb 24, 2026

Solid for our team

We rolled this out across the team last quarter and it is genuinely easy to set up. The core workflow fits neatly into how we already work, and the dashboard removed a step we used to do by hand. but it has held up under daily use.

Sofia Lindqvist

Dec 14, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: the core workflow and it is genuinely easy to set up. Where it lags: the docs could be deeper. On balance the feature set — especially the onboarding — justifies the 4 stars for our use case.

Ahmed Saleh

Nov 9, 2025

Solid for our team

We rolled this out across the team last quarter and the value for money is strong. The dashboard fits neatly into how we already work, and the onboarding removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.

Ethan Brooks

Sep 21, 2025

Solid for our team

We rolled this out across the team last quarter and support is responsive. The API fits neatly into how we already work, and the integrations removed a step we used to do by hand. The docs could be deeper, which is the main caveat, but it has held up under daily use.