You can answer "does AI recommend me?" two ways: by guessing, or by measuring. We measure. An AI Visibility Sprint does one thing, and it does it well. In about seven days it tells you, with a real number, how often AI mentions you today across six engines versus your competitors. Without that starting number, any plan to "get visible in AI" is faith. With it, you know whether you have a problem, how big it is, and whether it's worth fixing.

How do you measure a brand's visibility in AI?

You build a battery of real buyer prompts, the actual questions your customers ask when they're choosing, and you run them across the major engines. Then you count. How often does your brand come up? In what position? Next to which competitors? Do that across enough prompts and you get a picture, not an anecdote.

What is share of voice in AI engines?

Share of voice is the percentage of relevant answers where your brand shows up, compared to your competitors. If ten buying questions in your category produce answers, and you appear in three while a rival appears in eight, that gap is your problem in a single number. We measure it across six engines, ChatGPT, Claude, Perplexity, Gemini, Copilot, and Google AI, because each one is a separate fight with a different referee. The scale is not hypothetical: Google says AI Overviews now have 2 billion users every month.

What's included in an AI Visibility Sprint?

Three tiers, depending on how many markets you're in:

  • Small, $700. One market, tested prompts across all six engines, a diagnosis of your leaks, and a prioritized list of what to fix.
  • Medium, $1,600. Two markets, a before-and-after scorecard, and a deeper prompt set.
  • Large, $3,400. Multiple markets, the scorecard, a website speed pass, and the widest prompt battery.

It's a one-time project, not a contract, and the whole point is that you decide what to do next with data in hand.

How much does it cost and how long does it take?

It starts at $700 and runs about seven days. Your part is small: roughly half an hour of context, plus pasting a couple of answers from engines that need a login. Everything else is on us. At the end you have a starting number and a clear set of priorities.

Why start by measuring instead of just doing AEO?

Because without a baseline, you can't tell whether the work is helping. Measure first, fix second, measure again. That's the whole method, and it's the honest version of this service: a before, an after, and the truth in between, whatever it says. If you want a free taste before the full sprint, start with the AI Visibility Scan.