AI didn't kill the website: it exposed how broken it was

Dominik Angerer is the founder and CEO of Storyblok and a CMS Critic Contributor.

For decades, marketers have competed to secure a coveted page-one spot on the search results. But today that landscape has shifted. As AI-driven search experiences dominate, brand discovery is no longer about ranking for blue links; it’s about appearing in AI-generated answers.

This shift is rewriting the rules of online strategy. Not too long ago, getting your website noticed revolved around a careful balance of keywords and backlinks. Now, to appear in AI-generated responses, brands need content that machines can interpret as easily as humans. The reality is that many are not prepared.

The result? Traffic is declining. Zero-click answers are overshadowing genuine human expertise. Many brands are also finding outdated website content resurfacing inside AI-generated responses. The outcome is a loss of credibility and diminished ownership of their narrative long before a customer even reaches their site.

This has led some experts to predict the so-called “death of the website,” envisioning an internet overrun by AI-generated content and bots, where quality information and genuine human interaction are all but extinct.

The truth, however, isn’t nearly so grim. As we see it, AI isn’t killing websites; it’s exposing longstanding weaknesses in how organizations manage content. In this light, it should be seen not as an ending, but as a crucial turning point in terms of the way brands create and manage content online. 

Relevance before rankings

Previously, brands could get away with a content ecosystem that was outdated and internally inconsistent. Take a look at any one site, and chances are you’re guaranteed to find some old news releases or dusty product specs. But while humans might overlook a stale blog post from 2018 or incorrect pricing buried three levels deep, AI systems do not. 

Algorithms now crawl and compare information at a scale and speed no person can match. They evaluate how current your content is, whether your messaging stays consistent across pages and channels, and how authoritative your knowledge base looks against competitors. In other words, AI is no longer just reading what you publish – it is judging whether your entire digital presence adds up.

Generative Experience Optimization (GEO) is the roadmap for this new landscape. At its core, GEO is about ensuring that content is relevant, coherent, and authoritative so that AI can accurately interpret and surface it. For marketers, this translates into designing content that prioritizes clarity, consistency, and authority: clear language, cohesive messaging, and demonstrable expertise that generative AI can reliably recognize and elevate in its responses.

Crucially, GEO also shifts the focus from individual pages to the overall logic of your digital estate. It asks whether every touchpoint, including product pages, help centres, blogs, and social media copy, tells the same story and uses the same definitions. When that ecosystem hangs together, AI systems can more easily map questions to your answers, quote you as a primary source, and elevate your brand in aggregated, AI-generated experiences.

Legacy limitations  

This shift, in turn, is placing a sharpened focus on content governance. Across many organizations, individual channels still operate in isolation. Web teams publish one thing, marketing says another, or brand information is fragmented. AI interprets this inconsistency as a lack of authority and reduces trust accordingly. All of this is compounded by legacy CMS systems that were never designed for the dynamic, multi-channel, AI-driven environment we now inhabit, making timely updates slow and consistency nearly impossible.

To remain visible and trusted in this new discovery environment, brands need content systems that are flexibly structured and built for speed. This makes the case for composable, API-driven architectures – technology stacks made from interchangeable, best-in-class components rather than rigid, all-in-one systems – even more compelling. This is because composable CMS platforms allow marketers to update information once and distribute it everywhere, ensuring that every channel, region, and touchpoint reflects the same up-to-date source of truth. They also encourage more thoughtful content modelling and governance, which is essential for maintaining accuracy and coherence across increasingly complex digital ecosystems. 

What’s great, too, is that a composable stack makes it easy to introduce new tools, such as personalization engines, automation layers, AI assistants, or creative workflows, without disrupting the entire system. This granular level of flexibility gives marketing teams the agility they need to operate confidently in an AI-first discovery landscape, where freshness, structure, and adaptability determine relevance.

Evolve or risk extinction

Ultimately, the internet isn’t going anywhere. Take a closer look, and you’ll likely find that smartphones, apps, and social media platforms are doing better than ever. What is changing though is the way people access and interpret information, as the rise of AI causes brands to rethink how they structure, maintain, and distribute content. Those that adapt and seize the opportunity to reclaim control of the narrative will find that the web isn’t dying at all; it’s simply evolving into something more dynamic, more decentralized, and more dependent on the quality and consistency of the content that fuels it. Those that fail to evolve risk being defined by outdated information circulating through systems they can no longer influence.

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