Open Attribution: The Fix for the Zero-Click Era

Why Every Affiliate Manager Needs to Understand What's Happening to Search Right Now

Search is changing faster than most programs can adapt. AI-powered platforms like ChatGPT and Gemini are absorbing customer journeys that used to generate trackable clicks, and the content that influences purchasing decisions is increasingly going unrecognised and unpaid.

In this episode, Lee-Ann sits down with Alex Springer, Director at openattribution.org, and Leanna Klyne, Head of Agency at KonverJ, to unpack what open attribution actually means, why last-click attribution was already broken before AI arrived, and what the industry is doing about it together, many of them for the very first time.

If you work with publishers, run an affiliate program, or depend on content-driven traffic to generate sales, this conversation will reshape how you think about measurement, value, and what comes next.

Talking Points Include:

• Why content creators are producing value they will never be paid for and what needs to change before the affiliate industry loses its commercial foundation entirely
  
• The difference between how people shop and how AI thinks people buy and why that gap is exactly where affiliate marketing's future opportunity lives
  
• Why last click was always a fiction and why the shift to AI-assisted search is finally forcing the industry to confront it
  
• What Open Attribution actually is and why it starts with something as simple as a list of URLs that changed everything
  

The Problem No Single Platform Can Fix

For years, the affiliate industry has accepted a version of attribution that never really told the full story. Last click gave one partner the credit for a customer journey that involved dozens of touchpoints. Most of the industry knew it was imperfect. But it was measurable, and measurable meant payable.

AI has broken even that. When a customer asks ChatGPT to recommend the best product in a category and then clicks through to buy, the content that informed that recommendation, the reviews, the comparisons, the editorial guides, does not show up in any tracking platform. The content owner gets nothing. The brand gets a sale with no visibility into what actually drove it.

Alex Springer has spent the past year building an industry response to this problem. His answer is not a product. It is a standard, an open framework that allows AI agents to emit signals about the content they have cited as a customer moves toward a purchase. Those signals can then flow to tracking platforms and give both publishers and brands the transparency they have been asking for.

The reason it has to be open, and cross-industry, is because no single network or platform can solve this alone. The AI platforms are too large, and the problem affects everyone equally.

Shopping Is Not the Same as Buying

One of the sharpest insights in this conversation comes from a discussion about hand warmers. Lee-Ann describes a purchase that involved YouTube videos, ChatGPT comparisons, a cashback platform, and a coupon code before a single transaction took place. It was not a linear journey. It never is.

Alex references a quote from the performance marketing space that draws a distinction between how people shop and how AI companies think people buy. AI assumes a clean decision path. Real shoppers absorb information across multiple sessions, platforms, and formats before committing. That messy, multi-touch reality is exactly what affiliate has always understood, and exactly what the industry now needs to find a way to measure and monetise.

The CPA model is not going away, but the A in that equation needs to change. Acquisition credit cannot continue to hinge on the last click when the customer journey increasingly happens inside an AI interface that does not pass referral data.

A Standard the Whole Industry Can Build On

Open Attribution is not trying to solve everything. It is focused on one specific goal: introducing visibility into what happens during a live customer conversation with an AI agent. When a citation occurs inside that chat, a signal gets emitted. When the customer clicks out to a retailer or completes a purchase, that signal travels with the click. Tracking platforms can capture it. Publishers can see how their content was used. Brands can understand what actually influenced the sale.

The framework is intentionally lightweight. Membership in the initiative requires only that you support the principle that content owners should have transparency into how their content is used. From there, contributors can shape how the standard evolves.

Crucially, Open Attribution has secured cross-network collaboration at a scale that has never happened before in this industry's history. As Lee-Ann notes, this is the first time in over two decades that the major players across networks, publishers, and brands have aligned around a shared problem and a shared approach.

Listen to Find Out More About:

• What the agentic commerce protocols from OpenAI and Google actually do, and why the contributions Open Attribution is making to them matter for every publisher and brand in performance marketing
  
• Why some of the highest-quality publisher content has been deliberately removed from AI training sets, and what that means for the accuracy of AI recommendations right now
  
• The early warning signs that brands and affiliate managers should be watching for as AI-generated content starts to game LLM visibility the same way SEO was gamed in the early days of Google
  
• How the SPUR initiative and the APMA AI task force connect to what Open Attribution is building, and where compliance and governance conversations are actually happening
  
• Why Alex believes websites are not going away in five years, and what types of purchases will continue to require the kind of considered, content-led journeys that affiliate publishers are built to support
  

Key Segments of This Podcast and Where You Can Tune In to Go Direct:

[02:47] Alex introduces Open Attribution, his decade in performance marketing, and why he shifted focus from AI as a technology to AI as an industry actor

[05:45] Why last click was already broken before AI, and what transparency and usage auditability actually mean for content owners and brands

[27:05] The CPA debate: whether cost-per-acquisition still makes sense, what influence really means now, and why the shopping journey has always been more complex than the model we used to measure it

Ready to Build a Smarter Affiliate Program?

If this episode raised questions about how your program is measuring influence, attributing value, or preparing for an AI-first customer journey, the KonverJ team can help. We work with brands and publishers to build affiliate strategies that are built for where performance marketing is heading, not just where it has been.

Get in touch with the KonverJ team to find out how we can help you build a program that performs in the new landscape.