Building better websites in an age of AI
Author: Dan Clark 3rd Jul 2026 9 minutes read
AI has quickly become part of how people find, judge and interact with information online.
That does not mean every website needs an AI chatbot, an AI search tool or a set of experimental features added for the sake of it. It does mean organisations need to think differently about what a website is expected to do.
For a long time, the core principles of building a good website felt relatively stable. Create a clear structure. Design a strong user experience. Write useful content. Make the website accessible, secure and manageable. Optimise it for search. Keep improving it over time.
All these principles still matter.
The difference is that websites now exist in a very different digital environment. AI is becoming part of search results, analytics platforms, content tools, SEO software, CMS workflows and the way people ask questions online. Concepts such as zero-click search are just one example of this wider shift. Whether you’ve chosen to use AI or not, AI has already analysed your website and is influencing how its content is discovered, understood and presented.
You may already be thinking: “Should our website use AI?”
A better question is, “How should our organisation build websites for an AI-enabled web?”
AI is not just another website feature
When people think about AI on a website, they often picture the features they can see. A chatbot in the corner of the screen, smarter search or personalised recommendations.
Those things can be useful, but they are only part of the picture. AI is not just another feature you add to a website. It is increasingly part of the environment within which websites operate.
Search engines use AI to interpret questions and summarise answers. Analytics platforms use AI to surface patterns. SEO tools use AI to support metadata and content improvements.
People are becoming more comfortable asking conversational questions and expecting technology to do the legwork for them. AI is accelerating this, and it changes the context for website planning.
A modern website still needs to provide a great user experience. But it also needs to be clear enough for search engines, AI systems and other tools to interpret its information accurately.
That does not make design, UX or content less important. If anything, it makes their relationship even more important.
People are asking technology to do more of the work
One of the biggest changes is behavioural.
Users are smarter, more experienced and less forgiving than they used to be. Fast devices, polished apps and better digital services have raised expectations. People are less willing to fight through unclear navigation, slow pages or poorly structured content. AI has added another layer to this.
Instead of working out the right search terms, scanning several websites and piecing together an answer, users can now ask a direct question and expect a useful response. At that moment, the AI is acting as an interpreter. It consumes information on the user’s behalf and then presents what it believes is the answer.
The user may still visit the website. They may not. That’s the thinking behind the term ‘zero-click’.
For some organisations, that changes what success looks like. A website may still be valuable if it becomes a trusted source for AI-generated answers, even if fewer people click through in the traditional way.
That will not suit every organisation. A product-led website may still care deeply about visits, conversions and completed transactions. An information-led organisation may also need to think about visibility, authority and attribution.
Old metrics have not suddenly become redundant. Organisations simply need to understand which measures matter most for their purpose.
“AI-ready” is too small a conversation
There is a growing temptation to treat AI-readiness as a technical checklist.
Generate a file. Add a plugin. Install a chatbot. Use an AI tool to write metadata. Tick the box.
Some of those steps may have value. None of them replaces the harder work of understanding what the website needs to achieve.
A chatbot is only as useful as the content and logic behind it. AI-readable content still needs to be accurate, structured and maintained. Automated metadata still needs human judgement. AI search still needs a properly planned website.
Organisations need to be careful here. AI is a powerful tool, but it is not a shortcut around strategy, content quality or user experience.
A better starting point is to ask:
- What problem are we trying to solve?
- Who needs to use or understand this information?
- How will the website support people, teams and systems?
- What would success actually look like?
- Will this decision still make sense as technology changes?
Those questions are less exciting than buying a new tool, but they are much more useful.
Modern websites are no longer just one thing
A modern website is no longer just a brochure, a sales tool or a place to publish information.
For many organisations, the website has become a business system. It supports marketing, service delivery, content management, reporting, customer service, recruitment, accessibility, governance and long-term organisational knowledge.
AI adds to that, but it does not sit separately from it. Strong content structures become even more important when AI is helping people find and interpret information. Clear editorial workflows matter just as much when content teams use AI to create or manage content. As search continues to evolve, communicating meaning clearly becomes more valuable than simply targeting keywords.
Building better websites in an age of AI is not about chasing every new feature. It is about balance.
Good websites still need visual craft, interaction detail and a strong user experience. They also need clear information architecture, accessible content, technical quality, performance, structured data, editorial control and room to evolve. AI does not remove those responsibilities. It connects them.
The old fundamentals matter more, not less
One of the easiest mistakes to make is assuming that AI changes everything so completely that previous good practices become irrelevant.
In reality, many of the websites best placed for an AI-shaped web are those built on principles that have always mattered. Clear content helps people understand information and helps AI systems interpret meaning. Accessible structure supports screen readers and improves semantic understanding. Thoughtful navigation helps users complete tasks and makes relationships between content. Fast, stable pages improve user experience while supporting trust, usability and performance.
AI has not made these things old-fashioned. It has made them more important to get right.
A website built only for AI may feel thin, awkward or untrustworthy to people. Equally, a website built only for traditional browsing may be harder for the systems that shape discovery to interpret accurately.
Building for the world of AI-enabled web is not about choosing one or the other. It is about creating websites with enough clarity, structure and quality to serve both people and the technologies they increasingly rely on.
AI is not replacing good website practice. It is raising the standard for it.
Start with understanding, not assumptions
When organisations commission a website, they often arrive with a solution already in mind. A new CMS. A fresh design. A chatbot. AI search. Better SEO. More control for editors.
Those may all be valid needs, but they are rarely the full story.
The more useful work usually begins before anyone decides on the solution. What is not working now? Where are users struggling? Where are internal teams losing time? Are decisions being driven by evidence, or by familiarity with the current website?
These questions are especially important with AI because it’s easy to mistake the technology for the solution before you’ve properly defined the problem.
AI can improve the website experience, support content teams, help users reach answers more quickly and give organisations better insight into their data. Without a clear purpose, however, it can also introduce unnecessary cost, complexity and maintenance.
A good website project should question the brief, not to make the process more difficult, but to improve the outcome.
Results and innovation come from understanding, not assumptions.
Building for what changes next
Nobody can say with confidence exactly what websites will look like in five years. AI is moving too quickly for that.
Search behaviour is changing. User expectations are shifting. Tools that feel new today may become standard tomorrow.
While this uncertainty is not ideal, it’s not a reason to wait. Building with adaptability in mind is the most sensible step forward.
Organisations need websites that can keep changing with them and be ready for what comes next. That includes content structures that can grow, CMS setups that remain manageable, design systems that can flex, technical foundations that do not collapse under every new requirement, and editorial thinking that can respond as discovery changes.
AI is now part of that reality and ignoring it wholesale is no longer a sensible option for public-facing websites.
That does not mean every organisation needs extensive AI integration, but it does mean every organisation should consider how AI affects discovery, interpretation, content structure, and user expectations.
Success is unlikely to come by adopting every new AI feature first. It is more likely to come from understanding where AI adds genuine value and where good website fundamentals remain the bigger priority.
Building better websites in an age of AI is still about people. It’s about recognising that people now use different tools, routes and expectations to access the information they need.
Good website practice hasn’t become less important. It has become more important than ever.
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