Waikay vs LLMRefs : which one to choose for your GEO ?
Updated :
30/11/25
Waikay
LLMRefs
Waikay is an AI visibility tracking platform designed for brands and marketers who want to monitor their presence across AI-powered search engines. It provides cited source detection, a unified dashboard, and actionable insights to help teams understand how AI models reference their content.
For teams seeking AI Cited Backlinks analysis and a centralized GEO/SEO Dashboard, Waikay offers a focused solution for tracking and improving AI search visibility in one place.
LLMRefs is an AI search optimization platform that tracks, analyzes, and optimizes visibility across AI-generated searches including ChatGPT, Gemini, and Claude. It offers automated SEO audits, cited source detection, search intent analysis, trending niches, and an automatic agent mode for proactive optimization.
For teams that need AI mention tracking with automated GEO/SEO auditing and competitive intelligence, LLMRefs provides one of the most feature-rich platforms for managing visibility across multiple AI models.
Waikay is a tool that helps users track AI mentions of their brand and analyze the sentiment of the mentions. It offers features such as real-time monitoring of mentions, sentiment analysis, and personalized reports.
Yes, Waikay has a free version with limited features. To unlock the advanced options, you need to switch to a paid subscription.
You can cancel your subscription directly from your account settings. Go to the Billing section, click on “cancel subscription”, and your access will end at the next renewal date.
LLMRefs is an AI mention tracking tool that helps monitor your brand's visibility in AI-generated results. It offers features such as real-time mention monitoring, performance reports, and customizable alerts.
Yes, LLMRefs has a free version with limited features. To unlock advanced options, you need to upgrade to a paid subscription.
You can cancel your subscription directly from your account settings. Go to the billing section, click 'cancel subscription', and your access will end at the next renewal date.
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