
Moz STAT
GEO / AEOMoz STAT is one of the world's leading enterprise rank trackers, delivering daily SERP data and AI search visibility for agencies and global brands.
- Headquarters
- Vancouver, BC, Canada
- Founded
- 2009
- Team Size
- 1 to 10
AI Models Tracked
Moz STAT tracks 1 AI models, including AI Overviews
AI OverviewsMoz STAT Mission & Identity
STAT Search Analytics, commonly known as GetSTAT, is an operating subsidiary of Moz, headquartered in Vancouver, British Columbia, Canada. It was established to address the critical need for comprehensive, large-scale SEO insights. The company’s founding vision centres on empowering businesses and agencies to efficiently manage extensive keyword portfolios, multiple websites, and diverse product lines within the complex and ever-evolving search engine landscape. GetSTAT’s core mission is to provide unparalleled accuracy and depth in search analytics, enabling clients to uncover new opportunities, enhance brand visibility, and effectively demonstrate the tangible value of their SEO and geo-targeted efforts. It solves the intricate problem of tracking and analysing vast quantities of search data.
Moz STAT Product & Service Architecture
GetSTAT offers a robust search analytics platform designed for large-scale SEO operations, providing detailed insights into organic performance. The platform’s architecture is built around several core functionalities:
- Extensive keyword rank tracking for managing vast keyword sets across various search engines and locations.
- Comprehensive SERP feature tracking, identifying over 75 different SERP elements to provide a holistic view of search results.
- Advanced AI brand visibility tracking, including a beta LLM & SERP tracking feature, which allows users to measure brand performance and generate prompts in the context of AI search.
- A vast database offering more than 1.25 billion keyword suggestions to uncover new opportunities.
- Proactive adaptation to search engine changes by tracking over 100 Google parser updates annually, ensuring data accuracy.
- Provision of granular, hyper-local SERP data, crucial for precise geo-targeted SEO strategies.
Moz STAT Market Impact
GetSTAT serves a diverse client base, including leading digital agencies and large enterprises with complex SEO requirements. Its impact is evidenced through tangible client successes and robust thought leadership. For instance, Vega Communications leveraged GetSTAT’s granular local SERP data to win new business by delivering data-driven SEO recommendations. Similarly, Passion Digital utilised GetSTAT’s hyper-local SERP insights to effectively resolve intricate technical SEO issues, such as hreflang and canonicalisation problems, for their international client portfolio. The platform's credibility is further solidified by endorsements from industry experts like Lily Ray. GetSTAT contributes significantly to industry knowledge through its extensive resource library, offering white papers such as "The SERP in 2026" and webinars on critical topics like the impact of AI Overviews, brand visibility in AI search, and leveraging search intent, demonstrating a strong commitment to expertise, authoritativeness, and trustworthiness.
Moz STAT Competitive Edge
GetSTAT distinguishes itself in the competitive SEO landscape through its dedicated focus on large-scale, precise keyword rank tracking and comprehensive SERP analytics. Unlike broader all-in-one marketing suites, GetSTAT provides unparalleled depth and accuracy in its specialised SEO performance metrics, making it a robust tool for enterprise-level businesses and dedicated agencies. Its ability to track vast keyword portfolios with high frequency, coupled with detailed analysis of over 75 SERP features and proactive adaptation to over 100 Google parser changes annually, offers a granular level of insight. This commitment to delivering precise, actionable data, including hyper-local SERP intelligence and advanced AI brand visibility tracking, positions it as a leader for organisations requiring sophisticated, data-driven SEO strategies.