Having a website built with AI: benefits, limits and cost
Having a website built with AI: what AI really handles during the build, where it falls short, what it means for price and speed, and what to ask an agency.
AI has changed how websites get made. Routine work that used to take days now takes AI tools hours. If you’re thinking about having a website built with AI, it helps to know what the AI actually does, and what it doesn’t. This article covers the different routes, where AI genuinely helps during the build, where it falls short, what it means for price and timeline, and which questions to ask an agency.
Three routes to a website made with AI
“Made with AI” can mean very different things. Broadly there are three routes, which differ mainly in how much work goes in at the start and how much the finished site reflects your business.
Three routes to a website made with AI
- AI site builder
- finished site in minutes
- low entry cost
- interchangeable copy and layout
- tied to the platform
- Template with AI copy
- your content in a familiar frame
- online quickly
- looks like many other sites
- Custom, built with AI
- concept and design for your business
- AI speeds up code, variants and tests
- more coordination at the start
AI site builders ask for your industry and a few keywords and generate a complete site with copy and images. For a club, a hobby project or a first web presence, that can be enough. The results look very alike, though, because they come from the same templates and text patterns. And you stay tied to the platform: moving usually means rebuilding the site.
Template with AI copy is the middle route many agencies and freelancers take today. A proven theme is filled with content an AI has drafted. It’s quick, but often feels generic unless the copy is thoroughly reworked.
Custom, built with AI means the concept, structure and design are created for your business, and AI tools take on much of the routine while coding. That’s how we work. The difference from a site builder isn’t whether AI is involved, but who makes the decisions.
Where AI really helps during the build
AI tools for developers write code from a description, explain unfamiliar code and track down bugs. In a typical web project, they mainly take over this work:
- Scaffolding and recurring building blocks: navigation, forms, card grids, footers. Parts every site has that still need to be built properly.
- Variants to compare: instead of one draft, two or three versions of a section can be built and tried side by side.
- Tests: automated checks that forms work, links are right and the site looks correct on a phone. Writing tests is tedious, so it often gets skipped. With AI, that excuse is gone.
- First drafts of translations and image descriptions: alt text for images and first versions in a second language, which people then revise.
- Debugging: an AI quickly finds the likely cause in error messages and logs.
The effect: the clickable draft is ready sooner, and change requests are implemented and tested faster. That includes after launch, when a new offer or an extra page comes along.
Where AI doesn’t help
An AI doesn’t know your business. It doesn’t know why customers come to you rather than a competitor, which questions keep coming up on the phone, or what sets you apart. Yet that’s exactly what decides whether a website brings in enquiries.
- Concept and goal: Who visits the site, what are they looking for, and what should they do in the end? A conversation answers these questions, not a tool.
- Your own content: AI copy sounds smooth and general. What convinces readers are specifics: processes, prices, examples, your way of speaking.
- Quality and security: AI tools write plausible code that can still contain errors, for example around forms, permissions or data protection. Someone has to read it, test it and take responsibility for it.
- Accessibility and speed: both can be checked and measured, but not achieved by generating alone. The Core Web Vitals and the requirements of the European Accessibility Act set the benchmarks.
How much time does AI really save?
The honest answer: it depends on the task. Two studies show the range well.
In a controlled experiment with GitHub Copilot, developers were asked to write a simple web server in JavaScript. The group with AI assistance finished 55.8 percent faster on average. That’s typical of clearly defined tasks, which come up often when building a website.
A 2025 study by METR came to a different result: experienced developers working on tasks in large open-source projects they knew well took 19 percent longer on average with AI tools. They themselves believed they had been faster.
For your project, that means: for standard parts, variants and tests, the time saved is large. For tricky edge cases and for coordinating with you, hardly at all. Be sceptical of promises like “ten times faster” without evidence.
What it means for price and timeline
The biggest cost of a website is working time. When routine work takes fewer hours, an agency can charge less or deliver more for the same budget, such as a second language or more tests. What stays the same: conversations, concept, design, content and the review before launch.
We’ve summarised what else drives the price of a website in our article What does a website cost?. On the timeline, AI mostly speeds up the build itself. How quickly content, images and feedback arrive usually sets the pace more than the coding does.
Questions to ask an agency
Almost every agency uses AI tools today. What matters is how. These questions help you choose:
- What do you use AI for, and what do you do yourselves?
- Who reviews code and copy before anything goes live?
- Do my documents or customer data go into AI tools, and if so, which ones?
- Once paid, do I own the code, design, copy and access?
- What technology do you use, and could someone else continue the work later?
- How do you test loading speed and accessibility?
An agency that answers these openly usually uses AI in a way that benefits you.
The legal side in brief
Copyright: In Austria, as in most of the EU, copyright protects only original intellectual creations by people. Parts produced purely by AI are therefore often not protected. That makes it all the more important for your contract to settle the rights of use for code, design and copy clearly.
Labelling: There is no duty to disclose AI use in code and design. A chatbot on your site is different: under Article 50 of the AI Act, it must make clear that it is an AI. More on that in our article on AI chatbots for your website. The AI Act also requires a notice for realistic AI images of real people, places or events.
Data protection: Personal data, for example from your customer records, only belongs in an AI tool if there is a legal basis and a contract with the provider. Building a website almost never requires it.
Google: According to Google Search Central, what counts is whether content is helpful, not how it was made. Mass-producing pages without real value, on the other hand, breaks the spam policies.
Conclusion
AI doesn’t automatically make websites better, but it makes building them faster and cheaper. The difference still comes from the concept, your own content and a careful review. If you’re looking for a partner who uses AI this way, you’ll find how we work on our web design page. Or use the contact form to tell us briefly what your site should do.
Frequently asked questions
Can AI build a whole website on its own?
Technically, yes: AI site builders generate a finished site from a template, images and copy in a few minutes. That is enough for a quick start. A site that clearly sets your business apart, loads fast and brings in enquiries still needs a concept, your own content and a review by people.
Is a website built with AI worse for Google?
No. Google judges content by its quality and usefulness, not by whether AI was involved. Mass-producing pages without real value to occupy search results does break its policies, though. On the technical side, the usual things count: loading speed, clean structure and real content.
Does AI make a website cheaper?
Often, yes, because routine work such as scaffolding, variants and tests takes fewer hours. Concept, design, content, coordination and review remain human work. How much cheaper depends on the project: the more standard parts, the bigger the saving.
Who owns a website that was built with AI?
Your contract with the agency decides that. Put in writing that, once paid, you receive the rights of use for code, design and copy, plus access to your domain and hosting. Parts produced purely by AI are often not protected by copyright, which makes a clear contract all the more important.
Do I have to disclose that my website was made with AI?
There is no labelling duty for code and design. An AI chatbot on your site, however, must make clear that it is an AI under Article 50 of the AI Act. The AI Act also requires a notice for realistic AI images of real people, places or events.
