How do I track my AI visibility?

The full explanation

Tracking AI visibility is the disciplined, repeatable version of an audit. A single check tells you where you stand today. Tracking tells you whether you are getting better or worse, which is what actually informs decisions. The mechanics are straightforward, but doing them consistently is where most people slip.

Start with a fixed prompt set. These are the real questions your buyers ask AI engines, spanning the journey from broad early research to brand-aware decision queries, weighted toward the questions that matter most to your funnel. The set has to be stable. If you change the questions every cycle, you cannot tell whether a shift in results is real change or just a different test. Lock the set, then maintain it deliberately as your market evolves.

Run that set across all three engines that matter: ChatGPT, Google AI Overviews and Perplexity. They answer differently and cite different sources, so one engine alone is a partial view. For each answer, capture more than presence. Record whether you are mentioned, how you are described (sentiment and narrative), which sources the engine leaned on, and which competitors showed up alongside or instead of you. That richer record is what lets you diagnose problems, not just spot them.

Then do it on a cadence. Monthly, quarterly or another rhythm that suits your market's pace. AI answers change as the engines update and as content across the web shifts, so a point-in-time number ages. Regular runs turn isolated readings into a trend line you can act on.

Finally, roll the raw results into a consistent score. A pile of individual answers is hard to compare across cycles. Reducing them to a single, defensible number, built the same way each time, makes movement obvious and lets you see at a glance whether you are closing the gap on competitors or losing ground.

Can you do this manually? Partly. You can type prompts into each engine and log the answers in a spreadsheet. It is genuinely useful for a quick gut check. But it is slow, it is hard to keep consistent, answers vary between sessions, and it does not scale across dozens of prompts and three engines every cycle. Manual tracking tends to drift, and drift destroys comparability.

What this means for your business

If you only ever run one audit, you have a photograph. Useful, but static. The value compounds when you track, because you start to see cause and effect: you publish stronger content or earn a credible citation, and you watch your presence move at the next cycle. That feedback loop is what makes AI visibility a managed asset rather than a guess.

It also changes the conversation internally. A trend line tied to competitors is something a board understands. "We moved from Emerging to Cited and overtook two rivals this quarter" lands very differently from a single abstract number. Tracking gives you that narrative.

How K&C handles this

Tracking is the core of what we do. We build a representative prompt set for your market, run it across ChatGPT, Google AI Overviews and Perplexity, and score every cycle into your AI Visibility Score on the 0 to 100 scale, with your competitors measured alongside you. You can see how it works on our see it in action page and the detail on our methodology page.

The free Exec Brief gives you a reliable first reading and your band. The ongoing cadences, which are bespoke priced, turn that into a tracked programme so you can see movement cycle over cycle and tie it back to the work you have done. To set up tracking around your market, start at /start. Be Known. Be Cited.