Tracking AI visibility starts simple: you monitor a few prompts, a handful of competitors, maybe one or two AI engines. It’s manageable.
But what happens when you have multiple products or run different campaigns? Your dashboard starts filling up fast, with prompts targeting different funnel stages and metrics pointing in different directions.
Soon, it’s hard to tell what you’re actually looking at.
Is this spike in visibility coming from your flagship product? A seasonal campaign? Or something else entirely?
You know the insights are in there somewhere. You just need a way to separate them and pick what matters.
That’s exactly why we’ve added Tags: a simple yet rather helpful mechanism to organize your AI visibility data.
Meet Tags: Bring Order to Your AI Visibility
Tags are customizable labels that you can assign to prompts and competitors to group them into meaningful categories like products or campaigns. You can color-code each tag for quick identification and apply it to multiple items at once.
Instead of a single, crowded view of all your data, you can see, for example, how your Analytics Suite performs across AI engines compared to your Marketing Hub, how your Holiday Campaign is trending, or how your enterprise competitors stack up against your SMB ones.
With Tags, you can:
See Performance by Product or Service
When you’re tracking everything in one view, it’s hard to tell which product is actually driving your visibility: your main offering, a niche tool, or a new launch.
Tags let you separate performance by product or service line, so you can see exactly how each one shows up across AI engines.
You’ll know which products or verticals have a foothold in AI search and which need more attention. From there, you can use the Action Center to optimize underperforming verticals.
Track Campaign Impact Clearly
Each time you launch a new marketing campaign, you’ll want to know its performance vis-a-vis AI search.
Tags helps you isolate that visibility. The same way you create product or service tags, you can create tags for a specific campaign and assign them to relevant prompts to see how much visibility it’s driving and in which AI platforms.
Layer Insights for Deeper Analysis
AI visibility isn’t one-dimensional. You might tag a prompt with a campaign name. But you might also want to check their performance by month or priority. Creating a tag for every single combination isn’t practical, and we don’t expect you to do that.
Instead, you can layer tags—for example, assign multiple tags, like Q4 and Influencer Campaign, to the same prompt. You’ll be able to analyze their combined impact or filter them separately to view all prompts tied to a single tag.
AI Visibility, Simplified
As your presence across AI engines grows, clarity is a non-negotiable. Tags make it simple.
You can finally categorize and track how every product and campaign performs with respect to the configured prompts, all from one organized dashboard.
Tags are now live for all users.
