Watch the KonverJ webinar replay.
For years, performance marketing has relied on a simple story:
Search, click, read, click a partner link, buy.
That story is breaking.
Search is evolving into answers, summaries, and AI experiences that don’t always send traffic. People are still researching and still buying, but more of the journey is happening inside AI layers like ChatGPT, Gemini, and AI Overviews.
Influence is still there. The click is not always.
That is what people mean by zero click, and it is why Open Attribution is suddenly one of the hottest topics in performance marketing.
If you want the full breakdown, watch the replay now:
Watch the KonverJ webinar.
Zero click is when a user gets what they need without clicking through to a website.
In an AI search world, this can look like:
The customer still discovers brands. They still compare. They still decide. But the traditional “click path” we have used for attribution is no longer the centre of gravity.
Last click has been a flawed proxy for influence for a long time. AI just makes the weakness impossible to ignore.
Now the “moment of influence” can happen inside the AI experience, while the “moment of transaction” happens elsewhere. If you only measure the final tracked click, you miss what shaped the decision.
That is where this conversation starts.
And it is exactly what we unpacked in our KonverJ webinar with Alex Springer, Director at OpenAttribution.org.
OpenAttribution.org is a cross-industry initiative focused on one thing: transparency.
Not a single platform’s closed solution. Not something owned by one company. An open, neutral approach that helps the industry understand how content is used inside AI systems and how that usage connects to outcomes.
And when we say “content owners,” we mean everyone:
The core belief is simple:
Content owners should be able to see how their work is used and should be fairly remunerated for it.
Right now, neither of those things are consistently true.
Open Attribution is not trying to solve everything.
It is not an AEO tool.
It is not a paywall system.
It is not a content marketplace.
It is focused on one key gap:
When an AI system forms an answer, can it show its work in a standardised way?
The proposed starting point is intentionally lightweight:
A structured list of URLs that were cited or used during the AI conversation, packaged consistently so it can be attached to an outcome.
Why does that matter?
Because if we can connect “what influenced the answer” to “what happened next,” we can finally start measuring influence again, not just clicks.
This is the part most people care about.
Here are the practical takeaways we covered:
Brands have content too, and AI will represent your products and your claims. You should care about transparency and accuracy as much as any publisher does.
Commerce protocols are emerging that allow agents to purchase on behalf of users. If money is being spent, brands need to know what they are paying for.
AEO and GEO tools can be helpful directional signals, but they are not deterministic and low-quality sources can manipulate AI visibility.
Open Attribution is designed as a coalition, because collective pressure is the only way transparency becomes non-negotiable.
This space is moving fast, and this is one of those topics you want to understand before your reporting starts looking “off.”
If you want help pressure testing what this means for your affiliate or partner program, and how to prepare your tracking and strategy for an AI-shaped customer journey:
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