What Does the AiR Dashboard Show You?

Most businesses that hear about AI visibility for the first time ask the same question: okay, but what does that actually mean? And what am I supposed to do with it?

That is exactly what AiR is built to answer. The dashboard does not hand you a vague score and leave you to guess. It breaks your brand's presence across AI platforms into clear, specific metrics so you know not only where you stand today but exactly what to do to move up.

Here is a full walkthrough of what you will find inside.

Visibility Score

Your visibility score is the starting point. It measures how often your brand appears when AI platforms are asked questions relevant to your industry. If you are not showing up at all, nothing else matters yet.

A low visibility score means AI platforms either do not have enough information about your brand to confidently recommend it, or the information they do have is inconsistent or thin. Both are fixable. AiR shows you which is the problem and where to start addressing it.

Citation Rate

Showing up is one thing. Being named directly is another.

Your citation rate tracks how often AI platforms specifically mention your brand by name in their responses, rather than just implying a category of solution. A high citation rate means AI platforms feel confident enough in your authority to put their credibility behind you. That confidence is built through consistency, relevance, and strong signals across the web.

Sentiment Score

Not all mentions are good mentions.

Your sentiment score measures the tone of what AI platforms say when they do bring up your brand. Positive sentiment means AI is characterizing you favorably, recommending you, describing your strengths, and positioning you as a trusted option. Neutral or negative sentiment is a signal that something in your brand's online presence is creating friction.

This is one of the most underappreciated metrics in AI visibility. You can be visible and cited but still lose customers because of what AI says about you. Sentiment score tells you if that is happening.

Prominence Score

Where you appear matters as much as whether you appear. Prominence measures how high up in AI responses your brand is mentioned. A brand mentioned first or second in a list of recommendations occupies a fundamentally different position than one mentioned sixth, after qualifications and caveats.

AiR tracks your prominence across platforms so you can see whether you are being featured or buried, and whether that position is improving over time.

Prompt Groups: How AI Sees Your Audience

The real power of AiR is in how it organizes data around the way your audience actually searches.

Your potential customers are not asking one question. They are asking dozens of variations across different platforms and different contexts. AiR groups those searches into prompt clusters, organized sets of queries that map to real audience behavior. That means instead of seeing one combined score, you see how AI responds to your customers across every angle of their search.

You can identify which prompt categories you are strong in and which ones you are losing to competitors. That level of specificity makes your improvement efforts precise rather than generic.

How Different AI Models Compare

ChatGPT, Gemini, Google AI Overviews, Google AI Mode, and Perplexity do not all use the same sources or weigh information the same way. A brand can be well-represented on one platform and nearly invisible on another.

AiR tracks your metrics across all five platforms so you can see exactly where the gaps are. If you are strong on Perplexity but weak on Gemini, that tells you something specific about your content and where to focus next.

Recommendations: What to Actually Do

Data is only useful if it tells you what to do. AiR translates every metric into ranked, specific recommendations across three categories.

Website recommendations cover changes to how your site is structured, written, and organized that make it easier for AI to understand and trust your brand. Clearer service pages, better-structured content, and technical improvements that signal credibility all fall here.

Off-page recommendations cover your presence beyond your own website. Editorial coverage, directory listings, social citations, and third-party mentions all contribute to how AI builds its picture of your brand. AiR identifies which of those signals are weak and tells you where to invest.

Content recommendations surface specific topics, formats, or gaps in your content that are costing you AI visibility. If AI consistently recommends your competitors on a particular topic and you have nothing addressing it, that is a gap AiR will surface and prioritize.

Every recommendation is ranked by expected impact so you always know what to tackle first.