Building Your Website with AI? Read This First.

AI tools that generate entire websites from a text prompt are everywhere now. You type "bakery website in Athens" and in a few minutes something appears that looks ready to go. Fast, cheap, convincing.

But there are things these tools don't tell you before you hit generate. They're not obscure technical details. They're about whether Google can find you, whether your customers' data is safe, and whether your site looks exactly like hundreds of others.

One of the most common problems with AI-built websites is that they're invisible to search engines. Not because something broke, but because the things that make a site discoverable are rarely things AI tools bother to create: an XML sitemap (the map that tells Google which pages exist), proper meta titles and descriptions (what users see in search results), and schema markup (structured data that helps search engines understand what you sell).

The result is a site that technically lives on the internet but that Google doesn't know about. Digital Mully documented a real case in 2026 where a site with 4,000 pages had only 439 indexed by Google. The owner had no idea. As far as they were concerned, the site was working fine.

If your site collects names, emails, or payment details, security isn't a technical concern. It's a legal and ethical one.

Snyk, a cybersecurity firm, analysed thousands of AI-generated codebases in 2026 and found that 4 in 10 contain at least one critical security vulnerability. That's not a theoretical risk. It's an unlocked door.

AI writes code that appears to work. But it doesn't reason about misuse: what happens if someone tries to exploit the contact form, which data needs to be encrypted, what GDPR requires for your specific site. Those questions get answered by a human. Not a prompt.

More and more people are noticing it: AI-built websites tend to look like each other. Same layout. Same sections. Same hero area with something like "We provide solutions for every need."

This isn't a coincidence. AI tools were trained on existing websites and reproduce what they've seen most often. The result is design that lands safely in the middle: functional, but without character. And in a world where first impressions happen in under three seconds, "generic" has a real cost.

A family-run bakery should not look like a consulting firm. But if both used the same AI tool, they probably look closer than either owner would like.

It would be unfair to say AI has no place in web development. The truth is more nuanced.

AI helps developers work faster, explore ideas, and write foundational code. In the right hands, it reduces time and cost. But it requires a person who understands what they're doing to review, validate, and make the decisions that AI cannot.

Because some decisions don't come from a prompt. What makes a visitor trust a page within the first few seconds? How should information be structured to lead someone toward a call? What's missing from the design that's causing people to leave? These are things a human sees. AI guesses.

Don't panic. There are four things you can look at today, without any technical background:

1. Set up Google Search Console (free) and check whether your site is registered and how many pages Google can see.

2. Search site:yoursite.com on Google. If you see very few results or none, you have an indexing problem.

3. Check for SSL. If your URL starts with http:// instead of https://, visitor data is not encrypted.

4. Look at your page titles. If they say things like Home or Page 1, they're not doing anything for you in search.

If any of these are missing, it's worth fixing. And if you're not sure where to start, talk to someone who does.

AI is not the enemy of your online presence. It's a tool. And like any tool, the results depend on who's using it.

If your business relies on your website, it's worth knowing what you actually have. Not to worry, but to make better decisions.