Google is currently transforming the search experience at a rapid pace. Over the past year, we have seen AI Overviews appear in an increasing number of search results, where Google summarises information right at the top of the page. Now they are taking it a step further by also integrating shopping ads into AI Mode.
This means that, in many cases, users can go from a query to a product recommendation within the same experience.
For me, this is a clear sign that we are entering a new phase of search. The boundary between information, recommendations and purchases is becoming increasingly blurred.
For those of us working with SEO and digital visibility, this means we need to think more broadly than before.
AI Overviews are transforming the way visibility works
In practice, AI Overviews function as a summary answer at the top of the search results. Google gathers information from multiple sources and presents it in a brief and informative overview.
This means that users often get a large part of their answer straight away without having to click through.
For many websites, this has raised a natural question: how does one actually appear in an answer generated by Google itself?
What I see in analyses and tests is that AI Overviews are often based on the same principles as traditional SEO. The content used is clear, well-structured and written in a way that makes it easy to extract concrete answers.
In short, AI Overviews work a bit like an editor. It looks for content that is easy to understand and easy to quote.
Structure makes it easier to be cited
If I had to single out one factor that is becoming increasingly important in AI search, it would be structure.
Content that is clearly divided into headings, questions and short answers is more likely to be picked up. When a sentence can stand on its own and directly answer a question, it also becomes easier for Google to use in an AI-generated response.
This means that, in practice, I need to write a bit more in the way I imagine people actually ask questions.
A heading, for example, could be a specific question. The first sentence should then provide a clear answer. The reasoning can follow after that.
This isn’t really anything new in SEO, but AI search reinforces its importance.
Shopping ads are coming to AI search
As Google develops AI Overviews, it is now also integrating shopping ads directly into AI Mode.
This means that when a user asks a question related to products, the AI response may include recommendations alongside sponsored shopping results.
Instead of first reading a guide and then clicking through to products, the user can now see options directly in the same view.
This changes the shopping journey quite significantly.
Previously, the user often moved from searching for information to searching for products in several steps. Now, those steps can take place in the same flow.
Product data is becoming even more important
When shopping ads are linked to AI search, product data becomes a key factor.
Google uses its vast product database to match the user’s query with relevant products. This means that accurate and structured product information plays a greater role than ever before.
Titles, descriptions, images and attributes need to be clear and consistent. The better Google understands the product, the easier it is to display it in the right context.
This is particularly true in an AI-based feed where the context of the user’s query carries significant weight.
SEO and advertising are starting to merge
Another thing that’s becoming clear to me is that the line between SEO and advertising is becoming less distinct.
When AI responses, organic content and shopping ads are presented together, visibility is less and less about a single ranking position. It’s more about how the entire ecosystem functions.
Good informational content can help a page get cited in AI Overviews. At the same time, product data and adverts can ensure that the same brand appears in the recommendations further down in the results.
That is why I increasingly think of visibility on Google as a holistic system rather than separate channels.
My thoughts on the strategy going forward
When I try to summarise what actually works in AI search, I arrive at a few basic principles.
I need to create content that clearly answers questions and is easy to quote. I need to structure the text so that both humans and AI can understand it quickly. And I need to ensure that product data and information are structured correctly so that Google can link the content to relevant products.
So it’s not about replacing SEO. It’s about developing it.
My conclusion
When I look at the developments with AI Overviews and shopping ads in AI Mode, I actually see the same direction that Google has been following for several years.
They want to make the search experience more helpful, more coherent and more context-based.
For those of us working in digital visibility, this means we need to understand how information, products and adverts interact within the same environment.
It is no longer enough simply to appear in a list of links.
It is about becoming part of the answer.
And in many cases, part of the recommendation too.
