20% of people already changed where they search first
For most of my career, “search” meant one thing. You had a question, you typed it into Google, you clicked a blue link. That reflex is breaking. A real slice of people now open a chatbot before they open a search engine, and the gap widens every quarter.
This isn’t a prediction about some far-off future. It’s already in the numbers, and it changes how your work gets found.
What’s actually driving the shift
Two things are pulling people away from the old search habit at once.
The first is that AI answer tools got good enough to trust for everyday questions. ChatGPT, Gemini, Perplexity, Claude, and a growing list of others (DeepSeek, Meta’s models) now hand you a direct, conversational answer instead of ten links to wade through. When the answer is right there, the click never happens.
The second is the part people miss: Google is doing it to itself. AI Overviews and AI Mode sit at the top of the results page and answer the question before you scroll. So even the searches that stay on Google increasingly end without a click to anyone’s website. The “answer engine” behavior isn’t only happening on the chatbots. It’s happening inside Google too.
Google still dominates, but the floor moved
Let’s keep this grounded. Google still runs the table on global search, sitting around 90% market share. It is not collapsing.
But the trend line bent. Google’s share dipped below that 90% mark for the first time in years, and ChatGPT’s growth over 2024 was the kind of curve you rarely see. It climbed from a few hundred million visits to billions per month and lodged itself among the most-visited sites on the web (Similarweb desktop data).
Treat those figures as a snapshot, not a live readout. Adoption numbers for these tools move fast and the public counts lag reality, so I’d anchor on the direction rather than any single number. And the direction is clear: more answers, fewer clicks, more places people start looking.
The adoption picture, with a caveat
At their last widely reported counts, the AI assistants stacked up roughly like this:
- ChatGPT out front by a wide margin, in the hundreds of millions of weekly users
- Gemini a strong second, riding Google’s distribution into Android and Workspace
- Perplexity smaller but punching above its weight on research and citations
- Claude smaller still on consumer reach, larger in serious work and coding
Take the exact ranking with a grain of salt. Each lab reports differently and the order reshuffles every few months. The point isn’t the leaderboard. It’s that there are now four or five front doors to “find me an answer,” and Google is only one of them.
So what does a marketer actually do?
The instinct is to panic about losing Google traffic. The better move is to stop treating Google as the whole map. Here’s where I’d put my energy.
1. Optimize so AI engines can actually quote you
When someone asks ChatGPT, Gemini, Perplexity, or Claude a question in your space, you want your brand and your content to be the source it pulls from. That’s a real discipline now, and it has a name. I wrote the full playbook here: generative engine optimization. The short version: clear, well-structured, genuinely useful content that answers the question directly is what these systems surface. The same fundamentals that always mattered, pointed at a new reader.
2. Spread across more than one search ecosystem
People don’t only “search” on Google anymore, and they haven’t for a while:
- Amazon for anything they intend to buy
- TikTok, Instagram, and Reddit for discovery, recommendations, and “is this actually good”
- AI assistants for the conversational, “just tell me” questions
If your audience starts a buying journey on one of those surfaces and you’re invisible there, the funnel never starts.
3. Diversify your traffic on purpose
Google still sends the most traffic, so this isn’t about abandoning it. It’s about not betting the business on it. As organic clicks get squeezed by AI answers, paid competition on Google gets fiercer and more expensive. If you sell ecommerce or high-ticket items and a single channel drives most of your revenue, that’s concentration risk, not a strategy.
4. Monitor, then experiment
Search behavior is changing faster than any annual planning cycle can keep up with. Two habits keep you grounded in what’s real:
- Watch your AI referral traffic. It’s small today, but the trend is what matters. Track it before it’s a line item your CFO asks about.
- Audit yourself monthly. Type your brand and your top three or four category questions into the major AI tools. Do you show up? In the way you’d want to? That five-minute check tells you more than most dashboards.
The old game was ranking. The new game is being the answer.
Where this leaves you
AI is reshaping search faster than the org charts can adjust, and the marketers who treat “Google traffic” and “being findable” as the same thing are going to feel it first.
One small thing while I’m here, because it bugs me: not everything labeled “AI” is AI. Plenty of tools wearing the badge are plain automation or older machine learning with a fresh coat of marketing paint. Being precise about what you’re actually running makes you a sharper buyer and a sharper builder. If you want the wider map of how these tools fit together for marketing work, start with the AI marketing hub.
Search isn’t dying. It’s splitting into pieces, and your job is to be present across the pieces that matter to your buyer.
Don’t get left on page one of a place nobody searches anymore
The next twelve months will decide which brands AI assistants quote and which ones they skip. I send a free read, twice a week, on exactly that: what’s changing in how people find things, and the specific moves that keep you visible when the answer shows up before the click. If you’d rather adapt early than scramble late, subscribe free.