AI Is Compressing the Buyer’s Journey – What Should You Do About It?

I don’t use the word “fundamental” lightly. Marketing loves to call
every new platform, device, and algorithm a revolution.

Most of them aren’t. This one is different.

For nearly 30 years, the commercial web followed a familiar pattern.
A buyer recognized a need, searched for information, opened websites,
compared claims, built a shortlist, and made a decision. Smartphones,
social media, marketplaces, review sites, and video changed where that
research happened. They didn’t take away the buyer’s job of gathering
the information and making sense of it.

AI can.

That’s the real change. ChatGPT, Google AI Overviews and AI Mode,
Gemini, Perplexity, Claude, Grok, and other answer systems can interpret
a buyer’s situation, explore possible solutions, compare tradeoffs,
summarize outside evidence, and recommend a next step. A big part of the
consideration phase can now happen before the buyer visits a company’s
website.

That changes what it means to be visible. It also changes what your
website has to accomplish once someone finally gets there.

Imagine stepping on the scale one morning and not liking the number.
Maybe your clothes fit differently. Maybe you look in the mirror and
realize you’ve gained weight. Maybe a doctor raises a concern about your
blood pressure or another health risk.

Whatever caused it, you’ve entered the awareness stage. You know
something needs to change, but you don’t know which solution makes sense
for you.

Your options seem almost endless:

• Change how you eat.
• Ask a qualified medical professional about a GLP-1 medication.
• Join a gym.
• Start walking, running, or lifting weights.
• Buy a stationary bike or Peloton.
• Take up cycling, swimming, pickleball, or another active hobby.

In the traditional online buyer’s journey, you’d start searching. You
know the drill. You’d read medical articles, diet websites, fitness
blogs, Reddit discussions, equipment reviews, and product pages. You’d
open one tab after another, compare costs and tradeoffs, decide which
approach felt realistic, and slowly narrow the possibilities.

If you started leaning toward a connected exercise bike, another
round of research would begin. Which model? What does the membership
cost? Is there a less expensive alternative? Who has it in stock? Is
delivery included? Does a local sporting goods store have a better
promotion? Should you see one in person before buying?

You did the research. You assembled the evidence. You created the
shortlist.

And almost every step created a click that a publisher, retailer, or
marketer could see.

Today, a buyer can start with a much richer question:

One prompt can kick off the kind of research that once required a
dozen separate searches. You can add context, challenge the first
answer, ask follow-up questions, compare alternatives, and narrow the
choice without leaving the conversation.

If a connected bike becomes the leading option, you can ask AI to
compare brands, subscription costs, warranties, delivery, current
promotions, and nearby retailers. The answer may give you two or three
realistic choices and explain why one seems to fit your situation
best.

By the time you visit a retailer’s or manufacturer’s website, a lot
of the decision may already be made:

• The problem has been defined.
• The solution category has been chosen.
• The buying criteria have been established.
• The alternatives have been narrowed.
• A preferred brand or seller may already be leading.

Put plainly, AI has become your research analyst in the middle of the
funnel.

The familiar awareness, consideration, and decision framework still
describes real human needs. What’s changed is where those stages happen
and who does the information work.

The middle of the funnel isn’t dead. Much of it has moved into
systems your business doesn’t control and often can’t see in its
analytics.

Think about that for a second. The most influential page about your
company may no longer be a page on your website. It may be an AI answer
you didn’t write, host, approve, or even know a buyer saw.

This isn’t a prediction anymore. We can see it in how people are
shopping and building vendor shortlists right now.

These are surveys, not a perfect census of every buyer, and several
come from companies that sell marketing technology. I wouldn’t treat the
percentages as a precise forecast for every industry. Still, the
direction is remarkably consistent across consumer, local, retail, and
B2B research: AI is joining the journey before a business ever hears
from the buyer.

Yes, but not blindly. And that distinction matters.

I think it’s too broad to say people trust AI more than every website
or human source. People know AI can make mistakes. Their level of trust
also changes with the cost, risk, and emotional weight of the
decision.

What they increasingly trust AI to do is organize the research for
them.

That doesn’t weaken the case for AI visibility. It makes the case
clearer.

AI’s power isn’t that it always ends the research. It’s that AI can
determine what gets researched next.

When an answer names three companies, those companies become the
consideration set. When it recommends one seller, that seller begins the
verification stage with an advantage. When it omits a business, that
business may never receive a visit. When it describes a company
inaccurately, the company may have to overcome a belief that formed
before the first click.

An AI mention can create awareness. A recommendation can shape
preference. A citation gives the buyer a way to check the claim.
Together, those signals can start building trust before the buyer ever
interacts with the brand.

Let’s be honest about the traffic impact. It’s real.

Those findings don’t mean every site will lose one-quarter of its
organic traffic. They do mean that many informational visits businesses
once counted on are under pressure. When the answer resolves the
question, the click may no longer be necessary.

Google
has offered an important counterpoint. It says aggregate organic
click volume has remained relatively stable and that clicks from
AI-assisted search are often higher quality because visitors are less
likely to return immediately to the results. Different datasets measure
different parts of a fast-changing system, so I’m not ready to declare
the death of website traffic.

The more useful takeaway is simpler: we may get fewer exploratory
clicks, but the clicks that remain can be more informed and more
consequential.

That last number keeps us honest. More informed doesn’t automatically
mean ready to buy. AI-referred visitors may arrive with more context and
stronger intent, but that doesn’t guarantee higher conversion in every
industry or for every purchase.

This may be the most uncomfortable measurement problem in modern
marketing: your numbers can look worse even while your influence gets
stronger.

A buyer might see your company recommended in ChatGPT, remember the
name, search for it later, and visit through a branded Google result.
Analytics may credit Google, not the AI conversation that created the
preference.

A Google AI Overview might cite your explanation without sending a
visit. The buyer may still use your expertise to understand the
category, then return later through a different channel.

A prospect may arrive directly on a decision page after AI completed
most of the education and comparison. The session is shorter, but the
opportunity is better.

So yes, traffic can decline even while visibility, consideration, and
qualified demand improve. A report built only around rankings and
sessions can easily tell the wrong story.

Clicks still matter. Traffic still matters. Rankings still matter.
They just aren’t a complete record of influence anymore.

The answer isn’t to abandon SEO or publish hundreds of thin pages for
robots. It’s to make your business easier for people and answer systems
to find, understand, verify, and choose.

The AI buyer journey still comes down to a person trying to solve a
problem.

Here’s the good news: the buyer still has a problem to solve and
still wants a solution that fits. Trust, clarity, evidence, convenience,
price, risk, and human judgment still matter.

AI hasn’t eliminated the buyer’s journey. It has changed where
beliefs are formed, which companies enter the shortlist, how quickly
consideration happens, and what buyers expect when a website finally
earns the visit.

Nearly 30 years ago, search and e-commerce gave buyers direct access
to information that once lived with salespeople, stores, and publishers.
Now AI can synthesize that information on the buyer’s behalf.

Businesses can’t think only about winning the click anymore. They
have to earn a place in the answer, pass the buyer’s verification test,
and make the final decision easy.

If your company is absent, misrepresented, or unsupported when AI
builds the shortlist, your website may never get a chance to convert
that buyer.

Shaun Wilson