Your attribution model is blind to a growing part of your pipeline
Your buyer will find the answer in the search result. Do not click further. And you see a decrease in sessions, organic CTR and page views.
But your buyer may have known your brand. You may have noticed your position in your category. And maybe start a dialogue process without leaving a single trace in your analytics.
That's not a problem with your strategy. It's a problem with your measuring tools.
Why your existing KPIs are inadequate
Sessions, bounce rate, time on site and last-click attribution are all relevant. But they measure what happens on your website, not what happens to your buyer beforehand.
When the customer journey starts in an AI conversation, there are no UTM parameters. Your attribution model is blind to a growing portion of your actual market impact. And the conversation you have with your CFO about marketing-performance rests on an incomplete foundation.
What you need to supplement with
The companies that have already adapted now measure four things next to the classic metrics:
How often your brand is mentioned in AI responses (Share of Model). Whether the number of direct brand searches increases (Branded Search Volume). How AI reviews your brand, positively, neutrally or falsely (AI Sentiment Score). And whether there is a correlation between your AI visibility and your pipeline development.
You don't need advanced platforms to start. Test your brand in ChatGPT and Gemini monthly. Document what you find. Build a new internal narrative of what success looks like in a zero-click world.
Conversation with your CFO
“Our traffic is falling, but our influence is increasing” is a phrase that calls for new evidence. It's much easier to manage if you already have the data.
Contact Henrik directly and we'll take a look at what your numbers actually tell you today.
