Slate told me what I need to do to get my brand into AISO. This is miles better vs what I got with google analytics and other SEO tools who just showed the data to me. I’ve recently started using content refresh feature - which is automatically updating my brands content repository.

What impressed me most about Slate is how it connects AI search visibility with large-scale content execution. We started using it mainly for the AEO tracker, but quickly realized the workflow engine is equally powerful. The AEO tracker gives us a clear view of how our brand appears across LLM answers. Compared with tools like Peec, Profound, and Scrunch, Slate provides similar insights on citations, share of voice, and competitor visibility but at a much lower cost. For teams experimenting with AI search optimization, that pricing difference alone makes it attractive. Where Slate really stands out is the ability to operationalize those insights. Instead of exporting reports and sending them to a content team, we run workflows directly in Slate. For example, we automatically analyze competitor pages, generate briefs, and produce outlines for dozens of keywords in one run. The Sheets-style execution is also very useful. We can run workflows across hundreds of keywords or URLs, which makes it ideal for large content teams. It feels like building a content engineering pipeline rather than managing SEO tasks manually. We still rely on Semrush and Ahrefs for some traditional SEO research, but many of the repetitive tasks like analysis, briefs, and content planning now happen in Slate. That has reduced a lot of manual work.

Slate has an AI bot that can create detailed reports in minutes, which saves a huge amount of time and manual effort. Its AI analytics provides clear, data-driven insights that help us understand trends and performance more accurately. These insights make it much easier to strategize effectively.