Expert tools for hassle-free discovery of SEO growth points and boosting Google organic traffic. At Buddler, we’re on a mission to make SEO Growth Hacking accessible to everyone, sharing the efficient solutions we use ourselves. We offer you several tools that tap into historical data from Google Search Console, Google SERPs and your website data and combine it with our proprietary AI SEO Analysis to deliver insights and actionable SEO growth points tailored specifically to your project.
Buddler
@trudov Congratulations on the launch of SEO Performance Monitor! 🎉
This is a game-changer for SEOs who rely on Google Search Console but struggle with its limitations. 🔥 Now, all essential organic traffic data is in one powerful dashboard—no SQL, no coding, just seamless analysis!
Wishing you a successful launch, an engaged community, and continuous growth! 🚀 May your tool help SEO professionals worldwide work smarter, faster, and more effectively.
Best of luck! 🎯
Buddler
@masump Your comment made us smile – thank you! 😊
congrats! nice work! what makes Buddler’s filtering capabilities better than GSC’s?
Buddler
@dmitrii_schurko Thank you! 😊
Buddler takes filtering to the next level by letting you combine multiple parameters at once—without the limits that GSC has. This gives you a lot more flexibility and helps you break down your data in a much more precise and efficient way. It’s all about making your analysis easier and more insightful!
Congratulations on the launch! How does Buddler support enterprise SEO needs?
Buddler
@thuy_nguyen31 Happy to see your interest in our product!
We support the analysis of websites of any size. If you have large-scale sites, we offer the option to switch to GSC + BigQuery integration, allowing you to analyze SEO performance without GSC API limitations. If you manage multiple smaller sites, we’ve got you covered as well.
The largest site in our system currently receives over 1 billion clicks per year (to be precise, 1.15 billion). And the best part? You don’t need coding or SQL skills to work with such large datasets. Plus, there’s no need to pay for operations in BigQuery or allocate additional resources to maintain your own database and servers.