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Data, reconciliation & reportingClient work

How Much Traffic Does ChatGPT Send You? AI Search Reporting by Landing Page

I build a landing-page report for observable AI referrals, conversions and revenue, with unknown traffic and attribution limits kept visible.

For
Marketing teams and publishers measuring AI-search referrals
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The situation Data, reconciliation & reporting
AI referrals appear in analytics. You need to know which pages and outcomes they belong to.

Tick the lines that describe your case.

Describe my task

How I solve it

What I build

I build a report from the evidence available in your analytics and business records. It groups observable AI referrals by landing page and shows the agreed outcomes beside them. I document the source rules, date window, page normalisation and revenue definition so someone else can reproduce the report. Missing evidence remains visible.

For the underlying channel and capture questions, read AI-referral traffic in GA4 and Shopify. This engagement applies that method to your sources and produces the reporting handover.

The process

How it works

6 steps. Scope and a fixed price are agreed before the first one.

  1. Check the available analytics exports and whether conversion measurement is usable.

  2. Agree which source evidence counts as an AI referral, with paid and organic traffic separated where observable.

  3. Define landing-page normalisation without collapsing genuinely different pages.

  4. Align the reporting window and join the agreed conversion and revenue measures at a defensible grain.

  5. Check totals against the source exports and record unmatched or missing data.

  6. Hand over the report, refresh procedure and rules for reading its limits.

Handover

What you get

  • Observable AI-referral traffic by landing page and source.
  • The agreed conversions and revenue measure with attribution scope stated.
  • Unknown and unmatched data shown separately.
  • A reproducible refresh procedure and a short reading guide for the team.

Built with

  • GA4 exports
  • available search-performance exports where relevant
  • business conversion records
  • landing-page normalisation
  • a documented data join
  • Sheets or a reporting workspace
  • refresh checks

Proof

Done before, with dates and numbers

Client work Done for real clients. Client details are anonymised.

Before → after

For an events and ticketing business, I delivered AI-referral reporting and the milestone was accepted. I did not have Ads access, so I do not claim destination-side ad verification. For your report, acceptance is a reproducible join whose totals match the available sources and whose unknowns remain visible.

  • Events and ticketing business

    delivered AI-referral reporting. The milestone was accepted; there was no access to Ads for destination-side verification.

What you can look at

The proposed handover includes a synthetic landing-page report, a source-rule table and a reconciliation sheet. It shows a tagged referral, a referral with missing evidence and an unmatched conversion as different states. It does not relabel all Direct traffic as AI.

Client details anonymised. The backing is AI-referral reporting, not AI-checkout implementation or proof of total AI influence. Ads-side verification was unavailable in that engagement.

Price and timeline

What it costs and how it runs

A bounded reporting setup can be a Focused Fix from USD 450. A wider join across sources can be a Custom Engineering Project from USD 1,500. I check export availability before quoting; a proposed search feature or API is not treated as an available source until access is verified.

QuoteFixed before work starts

Price
Focused Fix from USD 450 for one bounded reporting setup; Custom Engineering Project from USD 1,500 for a wider data join. Discussing the task is free.
Timeline
I agree the sources, reporting window, refresh schedule and delivery date in the written quote after checking access.
First step
Describe the task. I reply within one working day, free, and tell you which option fits — or that you can fix it yourself.
Describe a task like this

A note from Daniilbefore you decide

When you don’t need this

If the existing report answers the landing-page and outcome question with clear definitions, keep it. If the purchase or lead event is broken, fix that first. A report cannot restore a referral that was never recorded.

— Daniil

Questions

What people ask about this

Will this show every sale influenced by an AI answer?

No. It reports the referral and conversion evidence your systems actually retain. Unknown source stays unknown, and a visit is not proof that an AI answer caused a sale.

Do we need a custom warehouse to start?

Often a bounded report is enough. A wider join is useful when the source exports, revenue definitions or refresh requirements exceed that scope.

More like this

All situations
Daniil Maximkin

Hi, I’m Daniil.

I work with you from defining the problem to implementation and handover. You talk to the person who does the work. I work in English and Russian.

My story My work

Have a task like this?

Describe your task

The first answer is free, within one working day. Or write directly: next@taskfordaniel.com