How to measure the revenue ChatGPT drives

Knowing ChatGPT cites your brand isn't enough: here's how to connect that visibility to real revenue, in euros

2 min read

A marketing team often knows, anecdotally, that ChatGPT sends traffic to its store. A spike in visits on a Tuesday morning, a customer mentioning "I found you by asking ChatGPT" in a support chat. But turning that impression into an actual euro figure, over a defined period, is something most AI visibility tools simply don't cover.

Without that number, AI visibility work stays hard to defend internally. Finance doesn't budget against an abstract visibility score. It wants to know how many euros of orders are actually tied to that visibility, and whether the number is moving up. A clear number also gives you something to weigh two marketing investments against, instead of navigating on gut feeling.

Why AI traffic is hard to put a number on

Traffic from AI answer engines blends easily into organic or direct traffic in standard analytics tools, which weren't built to tell a click from a ChatGPT recommendation apart from a plain direct visit. Most AI visibility tools stop at measuring citations too: they tell you whether you're recommended, but rarely what that recommendation actually turned into in real orders. The result: many teams know they're visible, but still can't say whether that visibility pays the bills.

How to get a reliable euro figure

  • Spot incoming traffic carrying the chatgpt.com referral in your Shopify store's order data.
  • Connect that referral to orders actually placed, not just sessions or incoming clicks.
  • Isolate the share of revenue attributable to that referral over a given period, a month for example.
  • Track how that figure moves over time, especially after each fix you publish to your catalog.
  • Compare that figure against the cost of your AI visibility work to gauge an actual return.

A single number, taken once, doesn't prove much. It can be inflated by a one-off spike or understated by a quiet period. It's tracking it over time, month after month, that turns the figure into reliable proof that your AI visibility converts into sales.

That's the job of Tadow's PROVE pillar: connect the visibility measured on ChatGPT and the other tracked engines to the orders actually placed in your Shopify store, for a revenue figure in euros, not just a score.