The website used to be one finished experience shown to every visitor and rebuilt every few years. AI is turning it into something that continuously tests, learns, and adapts.
Most marketing teams still change their website through a slow game of telephone.
A marketer identifies a problem and writes a brief. A designer turns it into Figma. The marketer leaves feedback. The designer revises it. A developer rebuilds the approved version in Webflow or the company's frontend. Then everyone goes through another feedback cycle when the implementation does not quite match the design.
A new headline can take a week. A landing page can take a month. A full website redesign can consume a quarter.
We see this inside almost every company we work with. The problem is rarely a lack of ideas. It is the distance between having an idea and putting it in front of a real visitor.
The old website was shaped by production constraints
When every change required several people, teams had to bundle their ideas together.
Instead of improving the website every week, they accumulated changes for a redesign every few years. Instead of creating the right page for each campaign or audience, they sent everyone to the same generic website.
This was not necessarily the best experience. It was the only one teams could afford to build and maintain.
The result was a fixed set of pages shown to almost everyone, regardless of what they searched for, which ad they clicked, what industry they worked in, or what they needed from the product.
The website looked the same because making it different was too expensive.
AI changes the cost of building
Coding agents like Claude Code and Codex can now turn an idea into a working page in minutes.
A designer can ship what they imagined instead of explaining it through annotations. A marketer can change a page without waiting for three other people. An idea can reach the real website while it is still relevant.
AI also makes it practical to create multiple versions of an experience.
In the past, showing different pages to different visitors meant designing, building, and maintaining every version by hand. Most teams could barely keep one website current.
Now an agent can create different versions for different campaigns, industries, traffic sources, or visitor needs without someone manually building each one.
A company running 30 ad campaigns no longer needs to send all 30 to the same landing page. Each campaign can have an experience built around what that visitor is actually looking for.
Building is no longer the hard part
Making more changes does not mean making the website better.
Once implementation becomes cheap, the hard part is knowing what to change.
Where are visitors getting stuck? Why are they leaving? Which visitors need a different experience? What should they see instead? Did the new version actually make them more likely to sign up, book a demo, or buy?
Without a system for answering those questions, AI just makes it easier to ship more guesses.
The real opportunity is not generating an infinite number of pages. It is creating a system for continuous experimentation.
The website becomes a continuous experiment
The new website is not a fixed set of pages. It is a system that continuously:
- Observes how different visitors behave.
- Identifies where they hesitate or leave.
- Forms a specific hypothesis about why.
- Builds the smallest meaningful alternative.
- Tests it on controlled traffic.
- Keeps what works and learns from what does not.
Each experiment makes the next one smarter. The company learns which messages resonate, which proof matters, what creates friction, and what different visitors need.
Over time, the website can change as much as it would during a redesign. The difference is that every change earns its place.
Brand systems become more important, not less
Generating a page is easy. Generating one that feels like your company is harder.
An agent needs to understand the existing website, components, typography, spacing, colors, voice, and previous decisions. Otherwise, it produces a technically functional page that could belong to anyone.
The brand system becomes the set of rules agents build within. It allows a company to create hundreds of experiences without losing what makes them recognizable.
This is the new website stack:
- The brand system determines how every experience should look and sound.
- Coding agents make building those experiences nearly instant.
- Experimentation determines what should change and who should see it.
- Real visitor behavior determines what stays.
Sherpa connects this loop to any existing website. It watches how visitors behave, identifies what is worth changing, builds new versions within the company's brand system, and tests them on live traffic.
The old website was built once, shown to everyone, and redesigned every few years.
The new website never stops learning.