The Messy Middle Of AI Search: Why Visibility Is No Longer Enough

​Andrew Higgins is CEO of Parsnipp, an AI search marketing company.

Marketers have worked hard to get their brands mentioned in AI-generated answers. Answer engine optimization (AEO) and generative engine optimization (GEO) have largely focused on whether your brand shows up.

Visibility matters—if you never show up, everything afterward is irrelevant. But we’re treating AI search like traditional search, and our data suggests it behaves differently. Being mentioned doesn’t necessarily mean being recommended. We’re finding brands with phenomenal visibility that fall out of the recommendation set as a conversation continues.

That’s the messy middle of AI search, and marketers aren’t paying enough attention to it.

AI Search Is Consolidating The Marketing Funnel

I don’t think AI search is changing the traditional marketing funnel. It’s just owning more of it. Historically, the customer journey spanned different channels. Marketers optimized for visibility in Google search, directed people to websites and landing pages and used conversion rate optimization to move them toward a purchase.

In traditional search, visibility was effectively the recommendation. If you showed up in Google’s first 10 links, you were being recommended. Customers clicked through, evaluated options and searched again as their needs evolved.

AI search works differently because much of that refinement happens within the same conversation. People ask follow-up questions, introduce new parameters and change their minds based on the information presented. A car shopper might narrow options by price, features or intended use. All that discovery and consideration is taking place between a human and an AI assistant, potentially within one conversation.

Yet we’re still measuring visibility like it’s the win because historically it was.

Visibility Doesn’t Equal Recommendation

This is where I think marketers are looking at AI search incorrectly.