Why AI-Generated Websites Look Alike

You can spot an AI-generated marketing site within a few seconds. Not because the design is bad, but because it has clearly come out of the same toolset, with the same defaults, as twenty other sites that month.

The hero claim is bold but generic. Two buttons. A short paragraph that promises clarity. Three cards explaining what the company does. A testimonial slider. A logo strip. A pricing table that hedges. A footer with the social icons in the same column, in the same order, in the same colour.

Each individual choice is fine. The total is the problem.

AI builders reuse the same patterns

The website builders, model demos, and component libraries that generate these sites are not aesthetically broken. They have been trained on, and prompted towards, "modern, clean, professional, conversion-optimised" examples. That phrase is a fingerprint. Ask for it and you receive the median of the last five years of B2B marketing pages, with mild reskinning.

This is not unique to AI. Designers have always had reference libraries, dribbble feeds, framework defaults. What is new is the speed and scale. Five years of landing-page design can be averaged into a layout in seconds. The result is a site that looks like every other site shipped that month from the same toolset.

Sameness is most visible in the parts of a page that should differ the most: how the business explains itself, what it puts first, what it leaves out, how it handles proof.

Layout is only one design decision

A presentable layout is now cheap. A site with a point of view is not.

The work that decides whether a site feels distinctive is the work that does not surface in a generated draft:

• choosing what not to put on the page
• deciding which proof point earns its place near the top
• writing in the voice of someone who has met the customer
• restraining the visual system to a small set of confident decisions
• giving the page a rhythm so it does not read as a stack of identical cards

These are taste decisions. They depend on knowing the business. AI tools do not currently have that context, and a thirty-word prompt cannot give it to them.

Three similar homepages show the pattern

Look at three AI-generated agency or SaaS sites side by side and notice how often:

• the hero uses the same cadence: bold claim, soft second line, two buttons.
• the next section is "Three things we do" with three icon cards.
• the section after that is "How it works" in three or four numbered steps.
• the social proof is a logo strip followed by a single testimonial in a quote block.
• the close is a call-to-action band with the same heading style as the hero.

The order is almost identical. The component types are almost identical. The hierarchy is the same. Even the margins feel the same.

Now ask which of these sites you would remember tomorrow. Then ask which of them would change in any meaningful way if you replaced the company logo with a competitor's. If a site can swap brands without anyone noticing, the design is not doing real work.

Where AI helps with design

This is not an argument against using AI in website work. We use AI in our own front-end and content workflows every day. It is good at drafting components, writing alt text, generating copy variants, exploring colour ideas, refactoring spacing tokens, and turning a vague brief into something concrete to react to.

The trap is treating the first plausible draft as the answer. AI gives you a fast starting point. The taste, hierarchy, restraint, and voice still need a person deciding what stays and what goes.

When that step is skipped, you get the sites we are talking about: technically fine, visually unobjectionable, almost completely interchangeable.

Distinctive design needs clear decisions

We rebuilt our own site this year, and the decisions that make it feel like ours are not the showy ones. They are rules.

No two adjacent sections share the same visual shape. Solid section backgrounds are the exception, not the rule. Service names describe what the customer ends up with, not how the work happens. Headlines have to make sense without their eyebrow labels. There is a banned-phrase list we run against every commit. There is no carousel of stock product photography because we decided early that the work would lead with commissioned editorial illustration.

Each rule is small. Together they push the site towards something that reads as a particular studio talking to a particular reader, rather than as a generic agency.

A prompt cannot reproduce this kind of system on its own. It can help us apply the system faster once it exists, but it does not invent the rules. The rules come from arguing about the work for a long time.

Check hierarchy, evidence and brand character

If you are reviewing an AI-generated site, your own or someone else's, three questions are useful.

The first is what has been removed. A confident site is partly defined by what is not on it. If every available pattern is in use, the design has not been edited yet.

The second is what is specific. Read the home page and underline anything that could not appear word-for-word on a competitor's site. If the underlines are sparse, the copy has not been written for the business yet.

The third is what would change if your category disappeared. A good site is built around a particular customer with a particular problem. If the page would still work for a different industry with a different reader, the design has not chosen yet.

These three checks tend to expose the gap between a fast draft and a finished site.

AI can still speed up production

It is also worth saying out loud: not every site needs to be distinctive. A small services business with no website at all is better off with an AI-generated page than with nothing. The same is true for a quick microsite, a campaign landing page, or an internal tool that nobody outside the team will see.

The sameness argument matters most when the site has to do real commercial work: explain a complicated offer, win the trust of a sceptical buyer, stand out in a crowded category, or carry the brand for years. In those cases, a generated draft is a starting point, not a finish line.

Keep the important design decisions human

AI is not the problem. It is a fast, useful tool for a lot of website work. Sameness is the problem, and it is a problem that pre-dates AI; AI just lowered the cost of producing it.

The interesting websites have always been the ones where someone made decisions. Decided what to leave out. Decided which proof point to put near the top. Decided which sentences a competitor would never write. Those decisions still need to happen, whether the first draft came from a designer, a builder, or a model.

A site that could belong to anyone usually does not convince anyone. The bit AI cannot do for you yet is decide which site it should be.