Being mentioned isn't the win. Getting paid is.
Everyone else tells you if AI mentions you. NetBack proves whether that traffic signs up and pays — to the dollar — so you can fund the AI channel on revenue, not vanity metrics.
Two very different questions.
- Visibility %
- Citations
- Share of voice
Leading indicators. Necessary — but they don't pay the bills, and a modeled "revenue" estimate on top is still a guess.
- AI-sourced revenue, by engine
- AI vs baseline conversion
- Retention & LTV by engine
Matched to real signups and Stripe revenue — detected and self-reported, never one blended figure.
Why the depth is hard to copy.
Mention-tracking is becoming a commodity. NetBack's moat is the measurement layer underneath — the part that comes from two decades of acquisition and attribution work in performance advertising.
Deterministic attribution
AI-referred visit → signup → paid, matched on a first-party visitor id. Not a modeled estimate — a real join between the answer and the money.
A dark-funnel bridge
AI creates delayed, referrer-less visits (ask ChatGPT, type your URL later). Self-reported and detected signals, kept separate — never blended into one inflated number.
Reconciled, with a confidence score
Every AI number is reconciled against the revenue total you already trust, and carries the share of conversions we could actually match.
Retention & LTV by engine
Not just the first signup — whether AI-sourced customers stay and pay, by engine. The measurement DNA behind it.
Where NetBack fits.
The mention-trackers are good at what they do — we're built for the layer they leave open. Fair, not trash-talk.
| Capability | Typical mention-tracker | NetBack |
|---|---|---|
| AI visibility, citations, share of voice | Yes | Yes |
| AI-referred → signup → paid, matched | Modeled, or handed off to GA4 | Deterministic, per engine |
| Dark-funnel bridge (detected + self-reported) | Not typically | Yes, kept separate |
| Reconciled against your own revenue total | Not typically | Yes, with a match-confidence score |
| Retention & LTV by engine | Not typically | Yes |
| Agent-native output (API / MCP) | Rare | Built in |
A general characterisation of AI-visibility tools as of September 2026, not a claim about any one product — the category moves fast, and several now connect AI traffic to conversions. If we have described your product wrongly, tell us at tc@netback.ai and we will correct it.
Two decades on the growth side — acquisition, activation, retention — across fintech, crypto, adtech (DSP/SSP) and mobile analytics. That playbook, aimed at the new channel: not whether AI mentions you, but whether AI-sent traffic converts and retains.
What people ask first.
How is NetBack different from Profound, Peec or Gauge?
They measure whether AI mentions you — visibility, citations, share of voice — and some now bolt on a modeled AI-revenue estimate. NetBack goes deeper on the hard-to-copy part: deterministic AI→signup→paid attribution (matched, not modeled), a bridge for the AI dark funnel, reconciliation against the totals you already trust so the number is checkable, and retention and LTV by engine. Mentions are the leading indicator; provable revenue is the point.
Is being mentioned by AI not enough?
It's the start, not the finish. A model can name you and send no one who converts, or skip you while a competitor wins the buyer. You fund a channel on revenue, not on share of voice — so that's what NetBack measures.
Do I have to trust a black-box number?
No. NetBack reconciles AI-attributed revenue against your total with a confidence score, and shows detected vs self-reported separately. You can always see how the number was built.
What does it cost to find out where I stand?
Nothing. The free scan needs only your domain — 60 seconds, no login. Prove revenue later with one snippet plus read-only Stripe or GA.
See the revenue AI is already sending you.
Run the free scan, then connect your data when you want the dollars — or see pricing.