2x AI visibility in 14 days
If this is what we got done in two weeks, I can't wait to see how much progress we can make in the next couple of months. Job's not finished.
A detailed comparison to help you choose the right tool.
Gauge is a complete analytics platform for GEO, AEO, and LLMO optimization workflows. Monitors ChatGPT, Claude, Gemini, Perplexity, CoPilot, AI Mode, and AI Overviews, connecting keyword research to prompt generation with volume data.
Semrush started in 2008 as an SEO tool. It launched its AI search offering, AI Visibility Toolkit, in September 2025. The AI Visibility Toolkit is an add-on to Semrush's suite of SEO products. It covers a wide range of AEO use cases related to monitoring and auditing. Users can also use the Semrush Content Toolkit to produce AI-generated content.
Worth noting
Teams appreciate Gauge's "engineering over marketing" approach. Built real web experience monitoring that pulls data from actual user interfaces, not just API calls. Typical customers see 3x-5x uplift in AI visibility within first month.
Worth noting
As an extension of Semrush's core SEO platform, the AI Visibility Toolkit focuses on keyword-focused reporting versus prompt-level analysis.
Track how often your brand appears in AI-generated answers across ChatGPT, Google AI Overviews, Perplexity, Claude, and other LLMs. See share of voice, prompt coverage, and visibility trends over time.
Track how often your brand appears in AI-generated answers across ChatGPT, Google AI Overviews, Perplexity, Claude, and other LLMs. See share of voice, prompt coverage, and visibility trends over time.
Analyze which pages and content are being cited by AI engines. Identify gaps, see competitor presence, and understand which sources AI models rely on for your industry.
The AI Visibility Toolkit focuses on keyword-focused reporting rather than prompt-level analysis, extending Semrush's existing SEO workflow.
Get actionable recommendations to improve content so it ranks better in AI answers. Align your pages with the prompts that matter and refine structure for LLM-friendly consumption.
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