The way people research who to buy from or work with has changed, and a lot of businesses are still measuring themselves against how it used to work. For years, showing up well in search results meant being on page one of Google. Someone looked something up, saw a result, clicked through, and a business had a chance to convert them, but that’s no longer the whole story.
Google’s AI Overviews and Large Language Models (such as ChatGPT, Perplexity, Claude and Gemini) are increasingly answering the question directly, right there on the results page or inside the chat window, before a buyer ever reaches a website. This is known as zero-click search.
That’s the strange thing I keep hearing in conversations with founders right now. They pull up their analytics, see the same rankings they’ve held for months, and don’t understand why traffic has rapidly declined. The honest answer is that nothing’s broken, but what has changed is what happens after someone looks something up.
Why this isn’t a technical problem
This isn’t a shift that’s coming down the road at some point, it’s already showing up in the numbers today, and many businesses are reading it as a technical problem when it’s really the mark of behavioral change.
Buyers aren’t researching differently because they’ve suddenly adopted new tools for fun, they’re researching differently because those tools got good enough to trust with something as important as a purchase decision. A buyer comparing vendors can now ask an AI model to summarize the market, compare providers and put together a shortlist, all before a single sales team even knows they exist.
Visibility isn’t one channel anymore
I see many companies still treating traditional search, AI visibility, website optimization, press activity and paid media as different jobs, run by siloed agencies, measured separately, and often competing for the same budget rather than working toward the same outcome.
That approach never made sense, even before the age of AI, but the cost of it is far harder to hide now. It doesn’t hold up when buyers are moving between Google, AI chat interfaces, review sites, social media and relevant publications, sometimes all within a single research session.
The businesses that stay visible through this shift practice what’s best described as cross-platform visibility. They’re the ones showing up consistently across all of it, and that’s usually not because they’re spending more money. It’s because they’ve started treating visibility as one connected system, rather than a set of disconnected channels competing against each other for the same attention.
What showing up really means now
Being visible to an AI model isn’t quite the same skill set as ranking well in traditional search results, even though the two are closely related. Language models tend to pull from sources they consider credible and well structured, which usually means content that answers questions directly, genuine third-party validation such as press coverage and independent commentary and a consistent presence across the platforms buyers are using to do their research.
A business can rank perfectly well in Google and still be invisible in an AI Overview if its content isn’t structured in a way models can retrieve easily, or if there’s nothing independent backing up what it says about itself. That’s a foundation problem rather than a rankings problem, and it’s usually why performance feels so inconsistent to people watching it from the outside.
A simple way to check where a business stands
Nobody needs a search agency on retainer just to get a first read on where they stand. Two checks will tell a business a fair amount on their own. First, search the core buying terms a prospect would actually type or say, not the company name, inside ChatGPT or Google’s AI Overview, and see whether the business shows up and whether the answer is accurate when it does. Second, look at analytics for a familiar pattern, where rankings are holding steady but organic traffic keeps declining, because that combination could point to answers being served without the click rather than to any real failure in traditional search performance.
If either check comes back badly, the fix isn’t really a rankings fix at all. It’s making sure content, third-party validation and presence across platforms are working together as one system instead of separate, disconnected efforts.
My team and I are seeing LLM referral traffic converting at up to eight times the rate of Google traffic in some accounts, so the businesses getting this right aren’t just protecting visibility, they’re often converting it better too.
The businesses getting this right
It’s important to note that the businesses adapting well to this shift aren’t necessarily the biggest names or the longest-established ones in their category. They tend to be the ones that stopped asking how to rank higher and started asking how to stay visible everywhere a buying decision gets made. That’s the question worth sitting with now, long before a quarterly traffic report forces the conversation.
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