Know which AI engines create revenue.

AI revenue attribution is the practice of tying AI-engine referrals (ChatGPT, Perplexity, Claude, Gemini) to actual revenue — joining each AI-sourced visit to the payment it produced — rather than measuring citations, mentions, or visit counts alone. It is the revenue layer that sits beneath AI visibility tracking: visibility tools tell you whether an AI engine mentioned you; AI revenue attribution tells you whether that mention produced a paying customer.

AI visibility tracking (Otterly, Profound, Peec, Loamly) measures presence — citations, mentions, share of voice, average position in AI answers. AI revenue attribution measures outcome — the Stripe revenue each AI engine actually generated. Visibility is a leading indicator; revenue is the result. The two are complementary, but most teams only buy the visibility layer and never close the loop to revenue, which is why "is this channel real?" stays unanswered.

Because they have no connection to your payment system. Visibility tools query AI engines and parse the answers; they never see your Stripe data, so they cannot join a ChatGPT-sourced visit to the order it produced. Measuring AI revenue requires (1) server-side detection of AI-referred sessions — which is hard because engines strip referrers, so ~34% of AI traffic hides inside GA4 "Direct" — and (2) a native payment-processor integration to match those sessions to revenue. Attrifast is built on both.

When someone clicks a link inside a ChatGPT, Perplexity, or Claude answer, the referrer is often stripped or set to the app domain, so GA4 buckets the visit as "Direct / none." In the Attrifast 200-site cohort, a median of 34% of GA4 "Direct" traffic was actually AI-referred. Multi-signal, server-side detection (referrer + known AI domains + landing-page patterns) is what recovers it — without that, the channel is invisible and its revenue is unattributable.

In the 200-site benchmark, the engines rank very differently by quality than by volume. On cohort-blended RPV, Perplexity leads at $1.42, Claude is second at $1.18, ChatGPT third at $0.87, Gemini $0.41, and AI Overviews $0.29 — so Perplexity's RPV is 1.6× ChatGPT's. Cut by vertical the order shifts: Claude tops B2B SaaS specifically at $1.94 despite carrying only ~6% of AI volume. AI traffic overall converted at 2.7% vs 1.4% for Google organic. The headline: judging AI engines by visit count alone inverts their actual revenue value, which is exactly the mistake a visibility-only tool leads you into.

Install a cookieless tracking script (one tag) and connect your payment processor. Attrifast does this in about two minutes: a 4KB script tag detects and classifies every visit including AI-referred ones server-side, and pasting a restricted Stripe API key (the webhook is provisioned automatically) matches each payment back to the session that produced it. The result is revenue and Revenue Per Visitor split by AI engine — ChatGPT, Perplexity, Claude, Gemini — alongside search, social, paid, and email, with no third-party cookies, no fingerprinting, and no cross-site tracking.

No — they answer different questions. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are about getting cited in AI answers in the first place. AI revenue attribution is about measuring whether that citation produced revenue. You do GEO/AEO to earn the visit; you do AI revenue attribution to prove the visit paid. Our GEO hub and AEO hub cover the earning side; this page covers the measuring side.