Glossary · Attribution

AI referral attribution

Tying AI-sourced visits to the leads and revenue they produce.

Also called: LLM attribution, AI revenue attribution

What is AI referral attribution?

Direct answer

Tying AI-sourced visits to the leads and revenue they produce.

AI referral attribution connects a visit that came from an AI assistant to what it was worth, a lead, a WooCommerce/EDD order, real revenue. It is what turns “we’re cited” into “AI made us $X.”

It depends first on recovering dark traffic, then linking those sessions to conversions once per order. Packaged as shareable proof, it becomes a Citation Receipt. Feature detail: AI referral & revenue attribution.

Why — and when — does it matter?

Attribution connects answer visibility to business outcomes while making the chosen credit model explicit. It supports investment decisions, not proof of perfect causality.

How it works

1

Identify or infer the AI source at landing.

2

Store source, engine and landing page first-party.

3

Connect leads or orders to the session.

4

Deduplicate the conversion.

5

Report first-touch, last-touch or assisted credit explicitly.

Worked example

Situation → interpretation → action

A Perplexity visit reads a guide, returns by email and purchases. First-touch reporting credits AI discovery; last-touch credits email. A useful report shows both instead of hiding the model choice.

How to track and report it

PrimaryAI-attributed conversions and revenue
SecondaryAssisted conversions, average order value and return visits
FormulaAI ROAS = AI-attributed revenue ÷ AI search investment

Reporting rule: State the engine, prompt set, market, time window and denominator. A number without scope cannot be reproduced or compared.

Practical playbook

  1. Identify or infer the AI source at landing.
  2. Store source, engine and landing page first-party.
  3. Connect leads or orders to the session.
  4. Deduplicate the conversion.
  5. Report first-touch, last-touch or assisted credit explicitly.

Common mistakes

  • Claiming attribution proves causation
  • Mixing attribution models
  • Counting the same order more than once

Questions people ask

What is AI referral attribution?

Tying AI-sourced visits to the leads and revenue they produce. Attribution connects answer visibility to business outcomes while making the chosen credit model explicit. It supports investment decisions, not proof of perfect causality.

How does AI referral attribution work?

Identify or infer the AI source at landing. Store source, engine and landing page first-party. Connect leads or orders to the session. Deduplicate the conversion. Report first-touch, last-touch or assisted credit explicitly.

How do you measure AI referral attribution?

AI-attributed conversions and revenue. Assisted conversions, average order value and return visits. AI ROAS = AI-attributed revenue ÷ AI search investment

What is a common mistake with AI referral attribution?

Claiming attribution proves causation. The scope and methodology should be stated before interpreting the result.

Apply the concept

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