Website with AI: how to build a website ready for users and for artificial intelligence

“Website with AI” can mean two very different things, and confusing them is expensive. One is building a website in minutes with an automatic builder like Wix, Squarespace or IONOS. The other is building a professional website ready to understand your users and to be read, indexed and cited by the artificial intelligence that now answers searches. The first gives you a page. The second generates business.

Direct answer: a well-built AI-ready website is not the one generated fastest, but the one designed to be interpreted by both people and AI models. That means solid architecture, structured data, real performance and authoritative content. It is what lets you rank on Google, appear in generative search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews) and turn visits into clients.

The context has changed. According to a Bain & Company study, close to 60% of searches already end without a click to any website, because the user is satisfied with the AI-generated summary. Their conclusion is blunt: optimising only for classic SEO is no longer enough. In this guide you will see what a website with AI really is, how one made with an automatic builder differs from one prepared for AI, and how a “top 1” website ready for users and machines is built today.

# What a website with AI is

When someone searches for “website with AI” they usually mix two concepts. It is worth separating them:

• Website made with AI: an automatic builder (Wix ADI, Squarespace AI, Hostinger, Webnode, Framer) that generates a template from a prompt. Fast and cheap. Useful to validate an idea or a personal project.
• Website prepared for AI: a professional site designed so that artificial-intelligence systems (generative search engines and agents) understand, index and cite it, as well as converting real users. It is an engineering decision, not a shortcut.

AI builders have improved a lot and handle the basics well. The problem appears when a B2B company needs its website to do more than exist: rank for competitive terms, capture qualified leads and show up when an AI model recommends providers. That is where the generic template hits its ceiling.

# Website made with an AI builder vs website prepared for AI

Let’s be fair: an AI builder wins on launch speed and, surprisingly, usually delivers good out-of-the-box performance. The difference is not whether “AI made the website”, but how much control you have over the levers that really move the business.

The tool matters less than the judgement behind it. An AI builder is perfect for launching fast; a website meant to rank and sell requires control over the code, the structured data and the architecture. If your website is your main acquisition channel, that difference is what separates “having a page” from “having a commercial asset”. At Cronuts we work in that second category with our web development and web design teams.

# What the agentic web is and why it changes the rules

For 25 years we designed websites for a single kind of visitor: a person with a browser. That is no longer true. Today your website receives three types of visitor, and only one is human:

• People, who browse, read and decide.
• Generative search engines (Google AI Overviews, ChatGPT, Perplexity, Gemini), which crawl your content and decide whether to cite you in their answer.
• AI agents, which operate a browser the way a human would. Tools like OpenAI’s Operator or the computer-use capabilities of current models already click, fill in forms and compare providers on the user’s behalf.

This is called the agentic web: an ecosystem where software acts on your website on behalf of people. And it goes further. Anthropic drives an open standard called the Model Context Protocol (MCP) that securely connects a company’s data and services with any compatible AI agent, without one-off custom integrations. In practice, companies that expose their information in a structured way become AI-operable. Those that don’t are left out.

A website is no longer designed only for whoever looks at it, but for whoever interprets it. Today your first visitor may be an AI model deciding whether to cite you or ignore you.

Albert Puig Navàs, CPO and Founding Partner of Cronuts Digital

If you want to go deeper into how these models reason, we explain it in our guide on how Claude works and on why AI delivers more as infrastructure than as a mere assistant.

# How to build a website ready for users and for AI

There is no magic, no “AI mode” you switch on with a button. There are engineering fundamentals that, combined, make your website legible and reliable for people and machines. These are the pillars:

1. Server-side rendering (SSR), not just JavaScript

Google says it plainly: server-side rendering or prerendering are still a great idea, because they make your website faster and because not all bots execute JavaScript. It is key for AI: most generative-search-engine crawlers do not execute JavaScript at all. A website built as a single-page application can see much of its content simply disappear from AI answers. Delivering full HTML on the first load is non-negotiable.

2. Structured data (schema.org)

Structured data in JSON-LD format is how search engines and AI understand what each page is and which entities appear on it (company, author, product, questions). Google recommends JSON-LD as the easiest format to implement and maintain. Marking up your website with types like Organization, Article, FAQPage, BreadcrumbList and Person is not optional if you want to be interpreted correctly.

3. Real performance: Core Web Vitals

Core Web Vitals measure the real usage experience: LCP (loading) below 2.5 seconds, INP (interactivity) below 200 milliseconds and CLS (visual stability) below 0.1. Important: INP replaced FID, so any website or audit still talking about FID is out of date. Speed is not aesthetics: a Deloitte and Google study found that improving mobile speed by a tenth of a second increased the flow of users towards key pages such as contact. More speed, more conversion.

4. Authoritative content (E-E-A-T)

AI cites what it can verify. The academic study that defined Generative Engine Optimization (GEO), led by researchers at Princeton, showed that the techniques that really increase your visibility in AI answers — by up to 40% — are not the usual SEO tricks, but adding citations, statistics and reliable sources. Keyword stuffing did not help. An artificially “authoritative” tone did not either. What works is substantial content, with real experience and sources, signed by people.

5. Security, accessibility and technical foundation

HTTPS, a clean URL structure, accessibility and a well-configured robots.txt are the foundation that decides whether you are crawled or not, by both Google and AI bots (GPTBot, PerplexityBot, ClaudeBot). On llms.txt it is worth being honest: it is an interesting proposal for feeding AI agents, but Google has confirmed it does not use it for ranking. It is not a magic visibility shortcut; the fundamentals are.

# How to rank in SEO, in GEO and get AIs to cite you

The good news: SEO and GEO are not opposing channels, they share foundations. Google has clarified that its AI features are based on its usual index, without a separate crawler and without needing special markup. If your website is well indexed and answers clearly, you already start with an advantage. From there:

• Answer first, elaborate later. Place a direct, self-contained answer at the start of each page. That is what the AI extracts and cites.
• Structure for machines. Hierarchical headings, lists, tables and structured data that delimit each idea.
• Provide evidence. Verifiable data, citations and sources: the number-one citability lever according to GEO research.
• Build brand entity. Consistent mentions, real authorship and Person and Organization schema so the AI knows who you are.

It is exactly the work we do in our SEO and GEO service. If you want the detail, we have guides on SEO for AI, what Generative Engine Optimization is and how to get AI to cite your company. And since ranking is useless if the website does not convert, we close with conversion optimisation.

# Common mistakes when making a website with AI

• Trusting everything to the template. Launching fast is fine; being left without control over schema, render and code is what holds growth back.
• Heavy JavaScript frontend. If AI crawlers do not execute JS, your content becomes invisible to them.
• Website without structured data. Without schema, you force machines to guess. And they do not guess in your favour.
• Keyword stuffing. It does not improve modern SEO and adds nothing in GEO. Substance does.
• Believing llms.txt ranks you. It does not. Prioritise indexability, speed and content.
• Launch and forget. A website is a living system: measuring, iterating and optimising conversion is what generates pipeline.

# How we do it at Cronuts

At Cronuts Digital we don’t assemble templates: we design websites as business assets. We start from the architecture (SSR, performance, security), build on our own design system to scale consistently, mark up every page with structured data and work the content for SEO and GEO from day one. The result is a website that people understand, that search engines index and that AI models cite. And if you also need AI strategy applied to the business, we cover it from our AI agency.