Know your
AI customers.

You can't see it, and that's the problem. When your store reads poorly to an AI assistant, ChatGPT or Perplexity recommends a competitor, and the order that should have been yours never appears in any report. These are expensive visitors to lose: AI-referred shoppers convert 54% higher than average traffic. Arbling shows you who is already arriving from AI and what they actually buy.

Usually after a handful of recovered orders. The dashboard shows which AI journeys reach checkout and which break, so you fix the exact blocker, a missing spec or unclear stock, and watch the recovered orders land. The Shopping Agent takes 3% only on sales it helped close, so the cost follows the result.

Returns and Merchant Center suspensions usually trace back to the same thing: buyers acting on wrong or missing facts. Arbling repairs the product data and republishes it once you confirm the changes. When the shopper, the marketplace and the AI assistant all read the same truth, bad-fit orders drop and the penalties stop coming.

Which products AI recommends, which buyer questions your catalog can't answer, and where journeys die. That replaces guessing in merchandising and lets you move budget into the channel that already converts 54% higher while your paid channels get more expensive.

Revenue counts only when a completed order traces step by step back to an AI journey. If the trail is incomplete, we don't claim it. Your CFO can audit every dollar in the report, which is rare in attribution and deliberate on our part.

Yes, and often more painfully. Buyers research vendors through AI, and it gets facts wrong: we've seen assistants misname founders and credit a company's flagship projects to its competitor. For B2B and SaaS companies Arbling runs one-time AI-visibility audits with the same rule as everywhere else: measure first, then fix what's broken.

Most tools stop at a score. They tell you there's a problem and leave the money on the table. Arbling closes the loop: it measures how AI reads your store, repairs the product facts, sells through its Shopping Agent and ties every result to a completed order. The difference shows up in your revenue report, where you can point at the orders it produced.

Early is the whole advantage. AI assistants are deciding right now which stores they can read and trust, and they keep sending buyers to the ones that already work for them. Arbling is built for agents from day one: product facts they can read, a storefront they can walk through and orders they get credited for. When agent purchases arrive at scale, your store is already on the short list. Catching up later costs more, and the orders lost in between don't come back.