For decades, the digital marketing playbook was written in the language of the click. The goal was simple: optimise for rankings, secure a top spot on search engine results pages (SERPs), and drive as much traffic as possible to your domain.  

However, in our Greenpark AI series, Jane Fulcher, Head of Content at Greenpark, chats to Chris Andrew, CEO and Co-Founder of Scrunch, and both agree that this model is being disrupted with startling speed. We are entering a new era where the traditional hierarchy of discovery, centred on the link, is being replaced by generated answers. 

The Rise of the Zero-Click Journey 

The most immediate shift is the emergence of zero-click journeys. In the traditional search model, a user asked a question, and Google gave them a list of links to visit. Today, users increasingly ask AI for answers and receive a complete, synthesised response without ever needing to visit a third-party site. 

This is not just a minor technical change; it is a fundamental shift in user behaviour. As Andrew points out, the top of the marketing funnel is effectively collapsing. AI agents now handle the broad research and comparison phases that humans used to do manually. Consequently, brands must realise that visibility is shifting from who ranks first to who shows up in the answers provided by the models. 

Redefining the Website: From Destination to Knowledge Source

If humans are not clicking through at the same rate, what happens to the corporate website? We’re suggesting a radical redefinition: websites are shifting from being destinations for humans to being knowledge sources or content repositories for AI agents. 

Andrew also notes that while the website remains a critical destination, the primary audience has changed. The visitor is now often an AI agent, crawler, or bot working on behalf of a human. Marketers should plan for a world where potentially 90% of human visitors disappear over time.  

The website’s new role is to serve as an enriched, thorough content repository that educates these AI models so they can accurately broker a conversation with a human. 

The New Success Metrics

Because the audience has shifted, the metrics used to measure success must also evolve. Reporting solely on unique human visitors is now, as Andrew puts it, fighting the wrong battle. In this new hierarchy, a success story is when a brand becomes the cited answer in an LLM, even if the user never visits the site. 

Modern marketers should instead focus on AI-centric metrics, such as: 

  • Indexing Frequency: How often are models like GPT, Anthropic, Meta, and Perplexity indexing your site? 
  • Training Recency: When was the last time an AI model retrieved information from your site to update its internal knowledge set? 
  • Live Retrieval: How frequently are models performing live searches on your site to answer current user queries? 
  • Citation Percentage: How often is your brand cited as the source for specific topics or questions within AI platforms? 

High-Value Outcomes

While human traffic may decrease in volume, the quality of referred traffic from AI sources is significantly higher. Andrew observes that humans who click through to a site from an AI source, having already completed their research via chat, are often 3 to 10 times more likely to convert than traditional organic visitors. They are not there to browse; they are there to transact. 

Ultimately, the goal has not changed. Revenue and business growth remain the true north star. However, to reach those goals, brands must stop marketing solely to the coveted blue link and start feeding the machine. The website is no longer just the front door; it is the library that the world’s most powerful AI assistants use to tell your brand story. 

Are you ready to see how you’re cited? Chat to us about our OPTIQ AI visibility audit.