The per-model breakdown is what we found most useful. Being able to see how ChatGPT, Gemini, and Perplexity each describe unikariyer in the same dashboard side by side made it clear where we were visible and where we weren't. Before Strajist AI, we had no systematic way to track this. The Action Center is also genuinely useful. It gives you a prioritized task list broken into categories like Visibility, Content, Citation, Technical and Foundation. Tasks come with estimated completion times and point values so you always know what to tackle first. Things like adding Schema.org markup, setting up llms.txt for AI discovery, creating feature specific landing pages, or listing your integrations. There is also an AI Readiness score that updates as you complete tasks, which makes progress feel concrete. We went from 14 to completing tasks that projected a jump to 32 points. It is not just monitoring, it actually tells you what to do next.

The per-model breakdown is what stands out most. It's not just "your brand appears X% of the time" as an aggregate number. You can see how each model specifically describes you, what attributes it associates with your brand, and how that differs between ChatGPT, Gemini, Perplexity and the others. That level of detail is actually useful for making content decisions. The daily measurement cadence also matters more than I expected. AI model outputs shift over time and having a consistent time series means you can actually connect changes in your content or PR efforts to changes in how models represent you. Without that longitudinal data you're just guessing. The source and citation tracking is the third thing I'd highlight. Seeing which external pages each model pulls from when it mentions your brand makes the connection between traditional content work and AI visibility concrete rather than abstract.