AI website design problems: why the same fixes keep failing

Your AI-generated website has been revised several times, yet customers still cannot compare your services or find the right next step. Another prompt changes the layout without explaining what is getting in their way.

Sometimes the basics drift too: text becomes unreadable, controls stop matching, essential content disappears or the site loses its identity.

At IZZY, we see generated designs follow familiar patterns while losing the product’s context. The result contains omissions and contradictions in the design. Asking the agent to “check everything again” can produce another version while leaving the same customer difficulty unresolved.

Before requesting another revision, identify the obstacle, the decision behind it and how you will tell whether the correction works.

Why another AI design revision can miss the problem

“Make this page clearer” leaves several decisions open. Does the offer need explaining? Is essential information missing? Is the content aimed at the wrong customer? Or is the information present but difficult to read?

Those questions lead to different corrections. Shorter copy can remove a condition buyers need. A new card layout can preserve the same unclear comparison. More prominent buttons can lead people towards an action they do not understand.

First confirm the business goal, intended customer and action the website should support. Then compare the observed problem with the agreed design decisions and previous versions:

  • The requirement is undecided. Nobody has agreed what customers need to understand or do. Resolve that question before choosing a layout.
  • An agreed requirement is not met. The content or interaction has been defined, but the design ignores it. Correct that specific omission.
  • A later change lost something useful. Compare designs. Restore the missing information or interaction while retaining useful improvements.

These situations can overlap. Keep the approved decisions beside the observed problem so that an agent’s interpretation of “better” does not quietly become the new brief.

AI website design problems and their business consequences

Use the questions below to locate what needs deciding or correcting. The costs are possible consequences to investigate in your own site.

Business needs

Repeated problemPossible business consequenceCheck first
Copy changes audience or assumes unexplained knowledgeBuyers cannot assess the fit; unsuitable enquiriesWho needs this information?
Prices or promises changeWrong expectations and disputesWhich source is approved?
Shorter copy loses important conditionsExtra clarification or abandoned decisionsWhat must buyers know before acting?

UX problems: navigation and interaction

Repeated problemPossible business consequenceCheck first
A button promises a booking but opens an enquiryCustomers misunderstand the commitmentWhat action is being offered?
Navigation keeps changingRelevant services become harder to findWhich customer task matters?
Forms erase entries after an errorCustomers may abandon the enquiryWhat should remain editable?
Keyboard access disappearsSome customers cannot complete the taskWhich interaction stopped working?
The mobile journey becomes incompleteMobile visitors cannot reach the next stepWhich step changed?

UI problems: presentation and consistency

Repeated problemPossible business consequenceCheck first
New screens ignore the existing design systemRepeated corrections and reconciliation workWhich component and rules apply?
Text loses readability or contrastBuyers miss the offer or conditionsWhat makes it difficult to read?
Mobile layouts hide essential contentCustomers decide without necessary informationWhat must remain visible?
Identity becomes a generic templateThe business becomes harder to recogniseWhich deliberate brand choices were lost?
Buttons lose visible focus statesKeyboard users lose their placeWhich states need restoring?

Across these areas, check keyboard and screen-reader navigation, text enlargement, captions, clear instructions and alternatives to voice, sound or precise pointer movement. Consider the needs of people with visual, hearing, motor, speech or cognitive disabilities. Compare access before and after changes; an inaccessible earlier version still needs correction.

Use customer questions, support conversations and observed attempts to establish which problems matter most. Estimate their impact from your own enquiry and sales data.

A simpler page that makes choosing harder

Imagine AI “simplifies” a service page by removing who each package suits and what it includes. Three similar cards remain. Buyers can see the options but cannot compare them; they may leave or ask sales to explain.

Before requesting more layouts, agree what distinguishes the packages. If those criteria already exist, put them back into the hierarchy. If an earlier design made the differences clear, identify what the revision removed.

Show the same comparison fields in each card: intended customer, scope and next step. Can an intended customer choose and explain why without a guided tour? The card layout can stay if it supports that comparison. New icons or colours alone leave the missing information unresolved.

Define what a successful design correction must preserve

For each correction, record:

  • Problem: what the customer cannot understand or complete.
  • Expected result: the required behaviour and business goal it supports.
  • Keep: necessary content, useful brand choices, existing components and access requirements.
  • Check: what you will observe to establish whether the problem is resolved.

If a requirement remains undecided, name who will resolve it before commissioning more variants.

Check whether customers can now understand the information, find the right option or complete the action. Review the content, related screens, mobile layout and access requirements the correction needed to preserve. Keep the accepted design and the reason for the decision beside it.

After release, follow the business outcome you chose. Clearer comparison and more enquiries are different observations; establish what changed before ordering another visual pass.

A corrected design still needs implementation checks

Before launch, check code security, access to customer data, integrations, performance and recovery. A design review does not establish that those parts are ready. Our AI-prototype readiness and AI-product handoff guides address that wider assessment.

Bring the recurring design problem to IZZY

Professional help becomes useful when revisions keep losing important details, your team cannot agree what “fixed” means, or nobody is checking the result against customers’ needs.

IZZY’s Product Design work covers research and framing, customer journeys, interfaces and design systems. We can help establish what needs correcting, preserve the useful parts and test the revised experience.

We can join at different stages:

  • From an idea: clarify goals and users, structure the offer and journeys, then design the interface.
  • With an AI draft or existing site: assess and correct UX, content and UI. Where the implementation also needs attention, our Rescue Missions & AI-Code Hardening work addresses code risks.
  • Through launch and beyond: engineering and integration, testing, deployment and ongoing support.

Contact IZZY to scope the design work. Share the page or prototype, what customers need to do and what keeps going wrong. We can take responsibility for a defined stage or the full delivery.

Frequently asked questions

Start with a specific customer difficulty and the business goal it affects. Compare it with agreed requirements and earlier versions. Correct the relevant design, then check the result with intended users.

It can help find issues and generate alternatives. Its self-check is not enough to establish customer comprehension, accessibility or business effectiveness. Compare the result with agreed requirements and observed use.

Not automatically. An omission may need a focused correction. If the audience, structure or direction is wrong, assess the broader design. Our generic-design guide explains that choice.

A website or prototype, the intended customer, the main action and any known difficulty. Add brand guidance or customer feedback if available. If the goal itself is unclear, say so: that is part of the framing work.

izzy.agency teamEngineering & product insights from the izzy.agency team.We use AI in our research and preparation. The analysis, the sourcing and the writing are ours. How we work