What the evolution of Google Search means for B2B companies

The development of search can be clearly understood when viewed in phases. In the early 2010s, SEO was dominated by a highly technical perspective: those who used the right keywords in their texts and accumulated enough backlinks ranked highly. User intent played hardly any role, and content quality was only partially considered.

A first shift came with algorithm updates such as Hummingbird and RankBrain starting in 2013: Google no longer reads only words, but also understands their meaning. For queries such as “cheap hotels Baltic Sea August,” Google delivers intuitive results without relying on exact wording on the target page. At the same time, searches on Google increasingly move to mobile devices. By 2016, this transformation led to the Mobile-First Index: those who cannot provide a properly functioning mobile version lose SEO visibility.

From 2020 onwards, E-E-A-T (Expertise, Experience, Authority, and Trustworthiness) also comes into focus. Google evaluates content based on whether there are clearly identifiable competent authors and credible sources behind it. Well-intentioned content with little supporting evidence, on the other hand, loses visibility. In 2023, the AI-powered Search Generative Experience (SGE) changed the search interface itself for the first time since Google’s existence: answers now appear summarized before the actual search results.

What Google’s AI mode means for visibility

AI Overviews, as Google calls its AI answer boxes, follow a simple logic: the system processes many sources, distills an answer from them, and displays it directly on the search results page. The sources are linked, but they are hardly clicked on anymore. Eye-tracking studies show that users remain on the AI answer and reach the organic results below it less frequently than before.

For companies, this creates double pressure: organic traffic from traditional search results declines, because some users already receive an answer directly on the search results page. The need to click through until a satisfactory result appears is increasingly disappearing. At the same time, a new form of visibility emerges, because being cited in an AI answer is more valuable than ranking in seventh place. Those who appear as a source in an AI Overview are perceived as an authority, even if the user never clicks on the link.

This new mechanism has been given its own term: Generative Engine Optimization, or GEO. It refers to the discipline of structuring content so that AI systems can not only find it, but also correctly understand it and incorporate it into their answers. This applies not only to Google, but also to other AI systems such as ChatGPT and Perplexity, on which B2B decision-makers are increasingly conducting research.

Users want answers, not lists

What has changed alongside the technology is expectations. Search queries are becoming longer and more conversational. Instead of “loyalty program software,” someone today is more likely to ask, “Which platform is suitable for a B2B dealer program in the automotive sector?” The query sounds like a conversation—and Google treats it that way.

At the same time, user patience is decreasing. Content that only gets to the point after long scrolling loses relevance. Research on websites overloaded with advertising or whose content serves only SEO purposes without actually saying anything is abandoned. Current studies on search behavior in 2026 show that users often perceive search results as cluttered and lacking substance. Those who avoid this and instead provide clear, well-supported, and structured answers gain a real advantage.

It is also interesting how users combine AI tools and traditional search. Many still start with Google to get an overview of available sources, but then switch to AI assistants to derive presentations, summaries, or action plans from these sources. For companies, this means that they must be visible and understandable at both touchpoints.

What this means for content strategy

Classic SEO does not lose its relevance, but it is no longer sufficient on its own. Keywords, loading times, and technical structure—all of these remain important. What changes is the layer above them. Content today must work simultaneously for three audiences: human readers, Google’s ranking algorithm, and AI systems that read, interpret, and incorporate content into answers.

This has concrete consequences. Structured data according to the Schema.org standard helps AI systems categorize content correctly. Clear headings, short paragraphs, and precise key statements make it easier for language models to extract relevant passages. Authors and sources must be identifiable because E-E-A-T signals determine whether content is classified as trustworthy. And content must answer real questions rather than provide generic text that merely occupies the algorithm. Topic clusters, meaning structured content architectures around a core topic, are gaining significant importance in this context. They signal depth and expertise—two qualities that both Google and AI answer platforms prefer.

What Google’s AI mode means for B2B companies

B2B decision-makers research differently than end consumers, but they research more and more deeply than ever before. Anyone in procurement, management, or sales looking for a loyalty program, an incentive provider, or a partner for dealer activation no longer simply lands on a product landing page. They research and compare using AI, read an AI Overview, and only then review the provider’s website.

For companies that want to be perceived as experts in this environment, building GEO visibility is now just as strategically important as traditional SEO. Those who are recognized and cited by AI systems as relevant sources are present in the awareness of potential customers long before the first call is made.