Why is everyone suddenly building their own website?

No-code and AI website builders are no longer a niche trend; they are mainstream. The global market for AI website builders is growing to around 3.24 billion US dollars in 2026, at an annual growth rate of over 20 percent. Gartner assumes that by 2026 around 70 percent of all new enterprise applications will be created using low-code or no-code – three years ago, it was still under 25 percent. No, this is not a distant US figure from a Silicon Valley whitepaper. Yes, in Austria, according to the same world4you study, 38 percent of SMEs are allocating fixed budgets for websites, social media, and online marketing this year. The need is there; the patience for traditional web projects is not.

Added to this is the time factor. According to the same study, almost one in two Austrian SMEs states that they simply lack the capacity in day-to-day business for digital projects; for micro-enterprises, this figure is even over 50 percent. A tool that spits out a page in an hour seems like the solution to two problems at once: lack of time and budget. It is precisely this pressure that is driving the boom right now – not tech enthusiasm, but sheer necessity.

Is this only an issue for one-person businesses, or also for large brands?

For an SME without a website, an AI builder is often the only realistic starting point – getting online faster beats waiting months for a quote. For large companies, the picture looks different, but its relevance is no less significant. When 70 percent of new business applications use no-code tools, individual departments within corporations have also long been building their own landing pages – bypassing the brand board. The result is an uncontrolled proliferation of microsites that adhere neither to corporate design nor to data privacy guidelines. Large brands therefore do not need less attention on this topic, but clear governance: Who is allowed to build what with which tool, and where does it feed back into the brand system?

Where does the website builder end and the risk begin?

Three problems keep surfacing. First: Many AI websites look the same. Designers have long been calling this “AI slop” or “visual elevator music” – the same layouts, the same fonts, the same card grids, because all models are trained on the same popular templates. Differentiation, however, is precisely what defines a brand. Anyone appearing in the same look as five competitors doesn't have branding, but an interchangeable appearance.

Second: Security. According to Veracode's GenAI Code Security Report, 45 percent of the AI-generated code examined in tests contained a known security vulnerability. No-code plugins are not immune to this either; in 2026 alone, several critical CVEs circulated for popular website builder plugins, such as in the widespread Elementor builder. Anyone running forms, customer data, or payment processes through a self-built site should not treat this point as fine print.

Third: SEO and maintenance. A website that no one in the company technically understands is difficult to optimize, update, or repair in an emergency. The lived reality: Many DIY websites are simply left neglected after launch because the next step – structure, tracking, schema markup – is assigned to no one. That is precisely where fast visibility separates from sustainable discoverability.

How do you build an AI website that actually works?

A few concrete steps, whether for an SME or a corporate department:

1. Positioning before prompt. Clarify the target audience, tone, and core message before opening any tool. The AI only fills in what you give it.

2. AI for speed, not for truth. Edit every generated text, cross-check every number, substantiate every claim.

3. Rely on a CMS that grows with you. A system with a genuine database structure instead of rigid text boxes saves a complete rebuild in a year's time.

4. Security check before go-live. Have forms, data processing, and integrated plugins audited externally before the site goes live.

5. Consider technical SEO from the start. Clean structure, schema markup, internal linking – otherwise neither Google nor ChatGPT, Gemini, Claude and co. will find you.

Is Framer the informed version of the same trend?

Framer is currently demonstrating well how speed and substance can be combined. The tool is no longer just a basic site builder, but combines design, development, and a bona fide CMS. With CMS 3.0, released on 21 April 2026, comes a completely redesigned database view with inline editing and bulk actions for large content collections – ideal for blogs, case studies, or team pages that are constantly growing. Added to this are AI features such as Workshop for components, Wireframer for page structures, an MCP plugin for CMS management and SEO audits, as well as integration with Claude and Codex for developers who want to dive deeper.

That is the difference between “just some AI page” and a website that scales as a system. This is precisely where we at oha! digital come in: As a Framer partner, we build professional Framer websites with AI CMS together with clients – the informed, guided version of the same trend, with strategy instead of a random generator. In other words, you get the speed of no-code plus the positioning that a raw AI prompt can never deliver.