Do We Still Need Websites in the Age of AI Overviews?

Search engine optimisation is facing a fundamental upheaval. With the introduction of AI Overviews (AIO) in Google Search, the way content is found, assessed and presented is changing. Results driven by artificial intelligence are taking up more and more of users’ attention. It used to be enough to rank organically with a good on-page structure and high-quality backlinks. Today Google increasingly filters content through AI models and plays by new rules. The AI models favour “in-house” sources such as YouTube, Google Maps, Google Business or other Google services. These are weighted considerably higher than external websites. You can find out how to optimise your website in the following blog post.

1. Websites are here to stay – but their role is changing

The short answer: yes, we still need websites – but differently from before. Websites remain the central reference point for brand, identity and credibility. They are the authority against which Google and other systems compare, classify and assess information. At the same time they serve less and less as a classic entry point via simple blue links, and increasingly as:

• a source of structured data (e.g. in JSON-LD format)
• a context anchor for AI systems
• a basis of trust when users want to verify information

Structured data gives Google machine-readable additional information that can appear directly in AI Overviews, knowledge panels or other search features. That way a website can stay present even when the actual click through to the site is no longer necessary at all – the brand and its content are “in the picture” regardless.

The clear structure of the website remains the foundation for this:

• a logically built page architecture
• meaningful headings with a clear hierarchy
• navigation that gives users and AI systems their bearings
• semantically correct use of HTML tags

Technical cleanliness and a clear information architecture are therefore no longer optional extras, but a prerequisite for AI models interpreting content correctly and placing it in the right context.

The content itself also has to meet new standards: quality before quantity. Well-researched, clearly presented and relevant content is decisive for convincing both people and machines. Alongside this, intelligent internal linking plays a central role. When thematically related content is sensibly linked together, the AI recognises these relationships and can classify your website as a well-founded specialist source.

Alongside structure and content, performance is a key factor:

• fast loading times
• optimised images
• smooth mobile rendering

This not only improves the user experience, it also has a positive effect on how AI-supported systems assess you. And finally, you should decide deliberately to what extent AI systems may access your website. The robots.txt lets you control precisely which content should be indexed and which should not. Especially when sensitive or non-public information has to stay protected.

2. Google tools as a lever: YouTube, business profiles & co.

To stay visible in the era of AI Overviews, a “merely good” website is no longer enough. Google’s own platforms are gaining strategic weight because AI models preferentially evaluate and display them.

YouTube as a visibility engine

In the AI context, YouTube is moving back into focus. In many AIO views, videos appear very prominently – frequently ahead of classic websites. It is therefore worth regularly publishing content that:

• demonstrates expertise
• conveys brand personality visually and authentically
• explains complex topics vividly

Videos offer reach and context. Context is exactly what AI systems are looking for in order to classify topics better.

Google Business as the primary point of contact

The Google Business listing is also gaining importance. An up-to-date profile with:

• well-maintained posts
• opening hours
• reviews
• images

… is frequently shown directly in the AIO environment, often ahead of the actual website. The business listing thus becomes the central point of contact between brand and user, before anyone clicks through to the company site

Connecting all sources

What matters is a clear link between all relevant sources. When content on YouTube, in the Google Business profile and on your own website references one another, a strong semantic connection emerges. This interlinking signals thematic relevance to Google and strengthens visibility across several channels.

Structured data as the technical backbone

Another central building block is the consistent upkeep of structured data (e.g. JSON-LD). It forms the technological backbone of modern SEO and helps AI systems to understand content better. Whether products, services, locations or events.

The more precisely this information is marked up, the greater the chance of appearing prominently in AI Overviews or supplementary search results. A new form of online presence emerges: less dependent on classic result listings, more strongly embedded in the AI-supported Google ecosystem.

3. Systemic weaknesses of modern AI search

Modern AI search systems are powerful, but far from infallible. A central weakness is how prone they are to errors in understanding context.

In AI Overviews, content from various sources is merged into an apparently uniform answer. The AI tries to build a consistent statement out of several findings – and this is precisely where errors frequently arise.

Many examples show:

At the very top there is an article that fits the topic in substance but rests on a context error, that is, on a wrong or abbreviated interpretation of the original source. Below it follows the actual original source, but the AI classifies it wrongly. Only in a lower position do you find the technically correct source that explains the matter cleanly and completely.

This order is no coincidence. AI models such as Google’s weight information not by journalistic quality or factual accuracy, but by technical and behaviour-based signals. Content from Google’s own platforms is particularly favoured, such as:

• YouTube
• Google Maps
• Google Business
• Google News

On top of that: these systems do not carry out a classic fact check. They take content over, connect it contextually and present it with great authority – even when it is incomplete or simply wrong.

For companies that means:

• correct content can be overlooked,
• technically sound sources can be summarised wrongly,
• and visibility suffers if content is not prepared in a technically and structurally AI-friendly way.

4. Conclusion: rethink websites, do not abolish them

So do we still need websites at all? Yes, but they have to be thought through and designed differently. The website remains the central reference point for brand, identity and building trust. At the same time it functions as a data and context base for AI systems – in particular through a clear structure, semantically clean code and structured data. Google’s own platforms such as YouTube and Google Business are no longer “nice-to-haves”, but strategic levers for being present in AI Overviews and similar formats.Anyone who knows the systemic weaknesses of AI and prepares their content accordingly increases the chance of being represented correctly and visibly despite the new search logics. The central task is therefore not to call the website into question, but to reposition it for the AI age, as the technological, editorial and strategic basis of your digital presence.

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