Between AI and Conversion: The New Customer Journey

The customer journey has been continuously evolving over the years, but there’s no denying that what’s happening right now feels different.

Not long ago, the path to purchase was familiar: a Google search, a few browser tabs, some product comparisons, a handful of reviews, and eventually – a decision to be made by the consumer. Research took time, and websites played a central role throughout that process.

But now, the process has changed entirely – impacting the original fundamentals of a customer’s shopping experience.

Today, a customer’s journey might begin with a question typed into ChatGPT, a product comparison run through Gemini, or a recommendation assembled in seconds from dozens of sources across the web. By the time someone lands on your website, they’re often not starting their research – but instead, finishing something they already started elsewhere. 

That changes everything about how your digital experience needs to work. 

This article will breakdown how websites can accommodate for these changes and the exact ways we help brands to assimilate to this changing world with AI.

The Journey Has Already Begun Before the First Click

Here’s the shift that matters most: the first conversation often happens before a visitor ever reaches your website.

The shift from “search and browse” to “ask and receive” is happening faster than most marketers could’ve ever imagined. Perplexity AI processes 780 million queries monthly, and ChatGPT now has 800 million weekly active users. Half of consumers now intentionally seek the use of AI-powered search engines, with a majority saying it’s the top digital source they use to filter through potential buying decisions.

The implications are significant. With 58% of consumers using generative AI for product recommendations (which used to be a mere 25% back in 2023), the traditional model where brands optimized to appear in search results to earn conversions is now being put on the backburner. 

Now, a new and more favorable environment is where AI is used to provide overviews and unified, informative answers. This is usually done without users ever visiting a brand’s website to begin with.

Early data from AI-enabled search experiences shows that people are now asking much longer, more descriptive queries than they did in the past. They’re no longer just typing keywords. They share context, constraints, preferences, urgency, and sometimes even emotion with full faith that AI will guide them to the right brand and purchase.

AI-powered search systems are increasingly able to break down complex queries into multiple search streams and synthesize the results in real time. As a result, research that once required dozens of tabs now comes together in seconds.

So, what does this mean for your website? 

Visitors who arrive with a recommendation already in hand don’t behave like someone discovering your brand for the first time. They’re not looking for information – but confirmation.

Users now might be thinking of websites looking to confirm questions like:

• Is this really the right product?
• Can I trust this company?
• Is there anything I’ve missed before making my decision?

These are the questions your website now needs to answer quickly, clearly, and confidently to encourage a user to add to cart and checkout.

Your Website’s Role Has Fundamentally Changed

It’s true that the traditional digital funnel once represented a linear journey: awareness, consideration, and conversion. Visitors arrived, explored, and (hopefully) bought something. Essentially, your website was the stage that set the tone for the whole performance.

Now, with easily accessible abundant data and always-on connectivity, those linear paths no longer reflect reality. Consumers don’t move neatly from one stage to the next. They jump between devices, pause and resume journeys, and expect brands to meet them instantly wherever they are.

Conversion is no longer an end-of-journey event. It happens whenever confidence is high enough – which may be much earlier than marketers expect.

That’s the new reality your website is operating in. It’s no longer a discovery engine – but a confidence-confirming building machine.

The question isn’t just, “What information do we show?”. It’s, “What does this particular visitor still need to feel certain?”

And those two questions have very different answers depending on who’s asking.

The Signals Are Still There: You Just Have to Read Them Differently

A few years ago, tracking the customer journey was relatively straightforward. Search terms, campaign data, and referral sources gave you a reasonable picture of where someone was in their decision-making process.

Today, much of that process happens somewhere you can’t see. The comparison takes place in an AI conversation. Reviews are summarized before they’re ever read on your website. Questions are answered before they reach your support team.

But that doesn’t mean we know less about our customers. It means we need to pay closer attention to the signals they leave behind once they arrive.

Platform data reveals that AI-referred users spend roughly 25% less time on a website as opposed to traditional traffic – which on the surface suggested lower engagement. But in early 2025, studies showed that AI-referred users actually spent 2x more time on sites versus traditional traffic, likely to validate AI recommendations. As adoption grew, time on site decreased while conversion rates increased, demonstrating how consumers are now trusting AI recommendations more.

In other words: visitors arriving via AI are more informed, more intentional, and more ready to act. This should give websites incentive to be sharper about what happens once users land on their page. 

Every click, every scroll, every moment of hesitation tells you something. Where do visitors pause? What do they re-read? Where do they drop off? Together, those signals reveal where friction lives – and where confidence breaks down.

Understanding those signals is becoming far more valuable than simply collecting new ones. This is where tools like Insights capabilities become critical: transforming behavioral data into clear, actionable understanding of how visitors navigate your experience, where they get stuck, and what moves them forward.

How to Accommodate For Users That Arrive Already Informed

When someone has already done their research with AI, the bar for your on-site experience goes up. Small details become decisive, and can make-or-break a purchase.

• How quickly can someone understand your product page?
• Are customer reviews easy to scan and trust?
• Does the page answer the questions still lingering in their mind?

Friction remains the enemy. High abandonment rates persist largely because of basic barriers like unclear pricing, complicated checkout, hidden fees, confusing returns, or too many steps remain intact.

These aren’t glamorous problems. But they are the ones that’ll cost you the conversion.

The better you understand what someone already knows before reaching your website, the better you can shape the experience that follows. Not every visitor arrives with the same level of knowledge. Not every visitor needs the same explanation. That’s why personalization isn’t a nice-to-have anymore, as it’s the foundation of a competitive digital experience.

Turning Data Into Experiences That Actually Convert

Here’s the good news: most of the data you need to make conversion possible already exists.

Product information, customer reviews, behavioral data, CRM insights, and purchase history can all contribute to a richer understanding of your customers. On their own, they’re just individual data points, but when connected together – they become the foundation for more relevant, more human experiences.

The challenge isn’t collecting more data. It’s making better use of what you already have.

AI-Powered Review Summaries: A Small Change, A Big Impact

Think about all the customer reviews. Most products have hundreds, sometimes thousands, of them. Everything a potential customer wants to know is already there. But very few people have the time or patience to read them all.

This is exactly where AI can make a real difference. Instead of asking visitors to filter through pages of reviews, AI can identify recurring themes, highlight what customers consistently mention, and surface those insights in seconds.

Breaking Down the Magic of AI Assistance with TRKKN

During our recent webinar with TRKKN, we shared a real example from the travel industry: AI-generated review summaries increased booking rates by 6%, booking form visits by 6%, and clicks on customer reviews by 3%. The information itself didn’t change. It simply became easier to access, easier to understand, and easier to trust.

That’s the power of meeting visitors where they are – not where you wish they were.

Check out the full webinar below:

Semantic Search: Understanding Intent, Not Just Keywords

Search behavior is evolving in the same direction. Not so long ago, people searched using a handful of keywords. Today, they describe what they’re trying to achieve.

• “I’m looking for running shoes for a half marathon.” 
• “Which camera is best for travel videos?”
• “Which moisturizer is best for dry skin?”

It’s the natural language people have become accustomed to using with AI assistants – and these days, it’s the experience they expect from every website they visit.

Semantic search makes that possible. Instead of matching keywords, it understands intent. It recognizes context, connects related concepts, and delivers results that are much closer to what visitors are actually looking for. Less frustration, more confidence, and faster paths to purchase.

AI Shopping Assistants: The Knowledgeable Sales Associate Now Scaled

Shopping assistants are evolving for exactly the same reason.

Rather than guiding visitors through rigid, predetermined decision-making, modern AI assistants respond more like a knowledgeable sales associate. They answer questions, explain differences between products, and adapt recommendations based on the conversation unfolding in real time.

For products that require a little more guidance, such as complex purchases, high-consideration categories, and technical decisions – AI shopping assistants can help to create a shopping experience that feels far more natural. Plus, it takes real pressure off your support teams in the process!

The Answer on How to Keep Up with the Changing Times: Experimentation

Here’s something worth saying clearly: no brand has been crowned the king of figuring all of this out. Everyone is still in the process of learning how to accommodate their websites accordingly.

Only 16% of brands today systematically track AI search performance. The behaviors, the signals, and expectations are continuously shifting. What works today will need to adapt tomorrow. 

As these models continue to evolve, their subsequent strategies that work today will need to be adaptable for whatever comes tomorrow. Companies should aim to better understand how their customers’ needs and behavior are evolving along the discovery-to-purchase journey – and they’ll need to improve their experimentation capabilities to move in a flexible fashion.

That’s not a reason to wait. It’s a reason to test.

Experimentation is becoming more important, and not because AI demands it – but because people do. Visitors no longer arrive with the same questions, the same level of confidence, or the same intent. The only way to understand what builds trust, removes friction, and supports better decisions is to keep testing, learning, and adapting.

Try something. Learn from it. And try again.

That’s not a methodology. It’s a mindset. And it’s the one that separates teams who adapt from teams who fall behind.

What This Means for Your Team

The shift in customer behavior isn’t a crisis. It’s a signal. And signals are exactly what good teams act on.

Here’s where to focus:

In a world where consumers ask richer questions and get synthesized guidance instantly, the winners won’t be the loudest brands. They’ll be the ones that are easiest to recognize as the right solution in context.

The Journey Isn’t Over: It’s Just Starting Somewhere New

AI is changing where the customer journey begins. It’s compressing the research phase, raising the bar for on-site experiences, and putting a premium on clarity, trust, and relevance.

But here’s what hasn’t changed: people are still the ones making the decision.

They still want to feel confident. They still want to feel understood. They still want an experience that meets them where they are – not where it’s convenient for the brand to have them be.

That’s what great experimentation and personalization have always been about. And it’s what they’ll continue to be about, no matter how many AI tools come into the picture.

The question isn’t whether your team is ready for the future of the customer journey. It’s whether you’re willing to keep testing until you find your better.

Let’s go further, together. 

FAQs

Have more questions on AI and the customer journey? Find the answers you need below.

How is AI changing the customer journey?

AI shifts much of the research process before visitors reach your website, meaning they often arrive with greater knowledge, clearer expectations, and stronger purchase intent.

Why is personalization becoming more important in the age of AI?

Visitors arrive with different levels of knowledge and intent. Personalization helps deliver the most relevant content and experiences based on where they are in their journey.

What role does data play in AI-powered customer experiences?

Connected data, such as product information, customer reviews, behavioral insights, and CRM data, gives AI the context needed to deliver more relevant experiences.

How can businesses prepare for AI-driven customer journeys?

By combining high-quality data with continuous experimentation, semantic search, and personalized experiences that adapt to changing customer behavior.