Around 99 percent of all companies in Switzerland are small and medium-sized enterprises. These SMEs employ over two thirds of the workforce and therefore form the foundation of the Swiss economy. At the same time, a study conducted by Localsearch and the Lucerne University of Applied Sciences and Arts in 2025 shows that there is an alarming discrepancy between the population’s digital expectations and what these companies actually offer: 82% of Swiss people would like to find out about services digitally, but only a third of micro-businesses with up to nine employees have a professional website at all. Localsearch CEO Stefano Santinelli put it in a nutshell: if an SME does not appear on Google, review platforms or in AI results, it simply does not exist for most customers. And this is exactly where the story of Search Everywhere Optimization begins – an approach that goes far beyond what most companies understand by search engine optimization.
Search Everywhere Optimization – often referred to as SEvO or OmniSEO in international specialist discourse – describes the practice of building a brand’s visibility across all platforms on which its target group searches, researches and makes decisions. The term was registered as a trademark in 2023 by Ashley Liddell, founder of the consultancy Deviation, and has since established itself in the global marketing scene. The basic idea is simple but radical: anyone who limits themselves to appearing on page one of Google is ignoring the majority of the journey that a potential customer undertakes today before making a decision. This journey is no longer limited to the classic search engine. It leads via YouTube videos, TikTok short clips, LinkedIn discussions, Reddit threads, Instagram reels, review portals, podcast platforms and – increasingly often – AI-supported assistants such as ChatGPT, Google Gemini or Perplexity.
To understand the relevance of this topic for Switzerland, it is worth taking a look at the figures. According to the IGEM Digimonitor 2025, the most representative study on Swiss media use, 60% of the population – around 3.8 million people – use AI tools at least occasionally for the first time. In the previous year, this figure was only 40%, which corresponds to an increase of 20 percentage points within a single year. The breakdown by age is even more impressive: 79% of 15 to 34-year-olds already use AI regularly, and 40% of over 55-year-olds do so. Almost half of the Swiss population now also use AI tools as an alternative to traditional search engines such as Google or Bing. This means that your potential customers – whether private individuals or B2B buyers – are increasingly no longer just asking Google a question, but also ChatGPT. And if your company does not appear in the answers from these systems, you have an invisible problem.
Google is still by far the most used search engine in Switzerland. According to Statista, its market share in 2024 was around 88.9%, followed by Microsoft Bing with a good 7%. But these figures only tell part of the truth. Google’s AI Overviews have been available in Switzerland since March 2025 – AI-generated summaries that appear directly above the traditional search results and work in all four national languages as well as English. Google already reports over 1.5 billion monthly users of this function worldwide. The NZZ aptly headlined that this is the most far-reaching change to the search engine in a long time. For companies, this means that even within Google, it is no longer enough to place a blue link on page one. If you want to appear as a cited source in the AI-generated overviews, you need content that is not only understandable for humans, but also usable for machines – structured data, clear statements, documented figures and a clear thematic authority.
However, the search behavior of the Swiss population is fragmenting far beyond Google. The social media landscape in Switzerland paints a differentiated picture: LinkedIn is the most popular platform with around 5.3 million active users, making it a key channel in the B2B sector – for many SMEs that supply other companies, LinkedIn is de facto the most important search engine. It is followed by Instagram with around 4.1 million users, TikTok has exceeded the 2.8 million mark, Pinterest has 2.7 million and Facebook has around 2.6 million. As a video platform, YouTube reaches 4.8 million Swiss people every month. The distribution across generations is significantly different: TikTok dominates among the under-25s, followed by Snapchat and Instagram. In the over-25 age group, LinkedIn leads, followed by Instagram, Pinterest and Facebook. 72% of the total population are active on at least one social media platform, and 69% of users access them daily or even several times a day. All of these platforms have long since developed their own search functions and are actively used by their users as search engines – for product recommendations, service comparisons, tradesman searches, restaurant tips or even for evaluating a new business partner.
The theoretical framework that explains why people research across so many platforms in the first place can be found in behavioral economics. As early as 1979, Kahneman and Tversky showed in their Prospect Theory that people feel the pain of a loss twice as intensely as the joy of an equivalent gain. This loss aversion drives a behavior that has virtually exploded in the digital age: over-research. The higher the perceived risk of a decision, the more platforms people consult in order to reduce their uncertainty. A carpenter buying a new router for 200 francs might do a quick Google search. An SME manager evaluating new ERP software for 50,000 francs will spend weeks scouring Google, reading LinkedIn discussions, watching YouTube demos, searching Reddit for testimonials, asking ChatGPT for a market overview and finally consulting review portals such as Capterra or Trustpilot. This pattern applies particularly strongly in Switzerland: according to the Federal Statistical Office, the Swiss population is above averagely well connected – nine out of ten people use the internet every day – and the high purchasing power often makes investment decisions particularly difficult to weigh up.
This results in a paradoxical situation for Swiss SMEs. On the one hand, most companies are faced with limited resources – around 90 percent of Swiss SMEs are micro-enterprises with fewer than ten employees that have neither the budget nor the time or expertise to maintain a professional presence on a dozen platforms at the same time. On the other hand, it is precisely this presence that is increasingly crucial for business success. The way out is not to do everything at once, but to take a strategic approach. For a Swiss SME, Search Everywhere Optimization does not mean being active on every platform in the world. It means identifying the three to five platforms on which your target group actually searches and makes decisions, and being visible there with the right content in the right format.
The first and most important step is therefore target group analysis – not platform selection. If you start with the question of which platform you should be present on, you are working backwards. The right question is: Where do my customers search when they have a problem that I can solve? A surprisingly simple but effective method is to interview five to ten younger customers and ask them to describe the exact route they took to find your company. Typical answers sound like this: Someone mentioned you in a LinkedIn post, after which I googled your name, then found a YouTube video of you, then read the Google reviews and only then visited your showroom. This pattern – the so-called non-linear search journey – is the norm today, not the exception. And it provides SMEs with a concrete platform map based on real customer behavior rather than industry trends.
For Swiss SMEs in the B2B sector – and this applies to a large part of the economy, from the supply industry and mechanical engineering to consulting and IT service providers – LinkedIn is the central platform alongside Google. With 5.3 million active users in a country with a population of 8.9 million, its penetration is remarkable. LinkedIn has long been used not only for job searches and self-presentation, but also as an active research tool: decision-makers search for solution providers, read specialist discussions, check the expertise of companies based on their published content and are guided by recommendations from their network. A Swiss industrial company that is not visible on LinkedIn with substantial content – specialist articles, project reports, industry commentaries – is giving away an enormous amount of its potential reach. This is not about viral posts or entertainment, but about professional visibility and trust. In Switzerland, where personal relationships and reputation traditionally play a major role, LinkedIn is to a certain extent the digital extension of the handshake.
For SMEs in the B2C sector – from craft businesses to local retailers and restaurants – the focus is shifting. Instagram and, increasingly, TikTok are the key platforms here, supplemented by Google Business Profiles and review portals. The search functions of these platforms have been massively expanded in recent years. In July 2025, Google began indexing Instagram content from professional accounts – a turning point that brings social media content directly into Google search results. Anyone who optimizes their Instagram profile with relevant keywords in bio, captions and hashtags will not only appear within the platform, but also on Google. For a hairdresser in Zurich or a bakery in Bern, this could mean that a well-made Instagram reel will appear in a local Google search – an opportunity that did not exist a year ago.
One particularly underestimated aspect of Search Everywhere Optimization is the role of AI-supported search systems. A study conducted by Lucerne University of Applied Sciences and Arts in December 2025 examined how Swiss banks are represented in ChatGPT, Perplexity and Google Gemini – and the results are revealing. The various AI systems work in fundamentally different ways: ChatGPT is narrative and customer-centric, preferring brands with a strong social media presence and recognizable tonality. Gemini works in a data-oriented way, relying on structured sources and rankings. Perplexity combines both approaches and references external sources and media reports particularly frequently. The study showed that smaller, specialized providers – such as Alternative Bank Switzerland in the area of sustainability or neobanks like Neon and Yuh in the area of mobile banking – were sometimes more visible in the AI responses than the big banks because they had established a clear thematic authority in their niche. This is a direct lesson for SMEs: you don’t need budgets in the millions to become visible in AI systems. What is needed is clear positioning, consistent content and comprehensible expertise in a defined subject area.
The question of how AI systems decide which brands and sources to cite in their answers leads to a central concept: Generative Engine Optimization, or GEO for short. While traditional SEO aims to appear as high up as possible in Google’s organic search results, GEO aims to appear as a cited source in AI-generated answers. A Semrush analysis of 150,000 AI citations found that 40.1 percent of all source references in AI answers point to Reddit posts – more than to Wikipedia (26.3 percent) or YouTube (23.5 percent). The Surfer AI Tracker, which analyzed 36 million AI overviews, also confirms this: Reddit is one of Google’s most cited sources. For Swiss SMEs, this does not necessarily mean that they all have to become active on Reddit – the Swiss market is less present there than the Anglo-Saxon market. But it does show a pattern: AI systems prefer authentic, user-generated content with real experience values to generic marketing texts. An SME that publishes real case studies with concrete figures on its website, documents customer testimonials, creates specialist content with verifiable expertise and shares it across multiple platforms has the best chance of being recognized and cited by AI systems as a trustworthy source.
YouTube deserves special attention in this context. The platform reaches 4.8 million viewers per month in Switzerland and is the second-largest search engine in the world after Google – and it is owned by Google, which reinforces its integration into the overall search ecosystem. For SMEs, YouTube offers a unique opportunity to build trust, as video conveys personality, competence and authenticity far more effectively than text. A plumbing company that explains in three-minute videos what to look out for when buying a new heating system positions itself as an expert – not only with YouTube searchers, but also in Google video results and increasingly in AI responses. The shelf life of such content is remarkable: while a social media post typically loses reach after 48 hours, search-optimized YouTube videos can continuously generate traffic for months and years. Semrush refers to this characteristic as the shelf life of content and shows that search-optimized social media content retains its value for six months or longer, while virality-driven content expires after a few days.
The practical implementation of Search Everywhere Optimization must be resource-efficient for SMEs. The most efficient approach is the so-called content waterfall method: a single substantial piece of content is created and then adapted into different formats for different platforms. In concrete terms, this could look like this for a Swiss trust company: The owner writes a detailed specialist article on the topic of tax returns for the self-employed in Switzerland and publishes it on the company website – search engine optimized, structured and with schema markup. Three LinkedIn posts are then extracted from this article, each dealing with a specific tip. A short explanatory video summarizes the five most important points and is uploaded to YouTube. Three Instagram carousel posts visualize the most common mistakes in tax returns. And the original article is formulated in such a way that it can be recognized by AI systems as a definitive source on this topic – with clear statements, documented figures and a comprehensible structure. A single piece of work can result in eight to ten pieces of content that generate visibility across different platforms without having to start from scratch each time.
Another key aspect that is particularly important in Switzerland, with its four language regions, is multilingualism. An SME in German-speaking Switzerland that also wants to serve customers in French-speaking Switzerland faces the challenge of producing and optimizing content in at least two languages. The good news: AI tools can now help considerably with translating and adapting content without necessarily compromising quality. The bad news: simply translating is not enough. Search behavior, preferred platforms and cultural nuances differ between language regions. The IGEM Digimonitor shows, for example, that digital news is consumed significantly more frequently via free logins in French-speaking Switzerland than in German-speaking Switzerland, and that Chinese shopping platforms such as Temu are much more widespread in Ticino than in German-speaking Switzerland. Such differences have an impact on search behavior and should be taken into account in a Search Everywhere strategy.
Measuring the success of a Search Everywhere strategy differs fundamentally from traditional SEO measurement. In the traditional model, it was primarily Google rankings, organic traffic and click-through rates that counted. In a world where answers are delivered directly in AI overviews, social media feeds or voice assistants, many of these interactions are zero-click searches – the user gets their answer without ever visiting a website. This does not mean that this visibility is worthless. On the contrary, being named as a trusted source in an AI response or being perceived as an expert in a LinkedIn feed builds brand awareness and trust – even if it doesn’t translate directly into a website click. Meaningful metrics for a Search Everywhere strategy therefore include not only classic website traffic but also brand mentions, citations in AI systems, engagement on social media platforms, development of the brand name as a search term and ultimately, of course, business results – inquiries, offers, deals.
A pragmatic approach in five steps is recommended for Swiss SMEs that want to start implementation. First: Check existing visibility – where does your company already appear and where not? Ask ChatGPT, Perplexity and Google Gemini for recommendations in your industry and region and see if your business is mentioned. Second, understand audience behavior – where are your actual customers searching, and what path do they take from first question to purchase? Third, prioritize – choose a maximum of two to three platforms besides Google where you want to be consistently present. Fourth: Create and adapt content – use the content waterfall method to generate maximum reach with minimum effort. Fifth: Review and adapt regularly – the platform landscape is changing rapidly and what works today may be outdated in a year’s time. The IGEM Digimonitor has shown how quickly usage habits shift: X (formerly Twitter) has lost a third of its reach in German-speaking Switzerland within a year, while Instagram has further expanded its top position.
The McKinsey analysis from 2025 on the role of generative AI in the customer journey illustrates the urgency: 73% of users already use generative AI applications in the awareness phase when they want to find out more about a category. This is not a future scenario – this is the present. Swiss SMEs that continue to rely solely on their Google ranking will find in the coming years that a growing proportion of their potential customers never search for them on Google at all, but receive recommendations directly from AI systems, social media platforms or video portals. The companies that are quoted as experts in AI responses, are visible as thought leaders in LinkedIn feeds and offer trust-building content on YouTube will build a sustainable competitive advantage – regardless of their size.
However, it would be a misunderstanding to believe that Search Everywhere Optimization is replacing traditional SEO. Rather, a well-optimized website is still the foundation on which everything else is built. Websites that practice solid technical SEO – fast loading times, mobile optimization, structured data, clear information architecture – have demonstrably better chances of being visible across other platforms. A company’s own website is its digital home, over which it has complete control. Social media platforms, on the other hand, are like a party in someone else’s house, as digital marketing expert Gary Vaynerchuk once put it – useful, but with no guarantee of permanence. That’s why the website should always remain the linchpin of a Search Everywhere strategy, while the platforms around it serve as amplifiers and bridges of trust.
However, the technical requirements for a website that is equipped for Search Everywhere Optimization have evolved. Google is increasingly evaluating content using the so-called E-E-A-T framework: Experience, Expertise, Authoritativeness and Trustworthiness. For a Swiss SME, this means that content should show that it is based on real practical experience – not on generic knowledge that could have been generated by an AI system. Author profiles with a comprehensible background, case studies with real projects, original research with your own data, transparent information on skills and certifications – all of this not only boosts Google rankings, but also increases the likelihood that AI systems will identify and cite your content as a trustworthy source. Schema markup helps to make information readable for machines: FAQ schema, how-to schema, local business data and reviews structure content so that it can be presented optimally in both Google results and AI summaries.
A final idea that is particularly relevant for the Swiss SME world concerns the cumulative effect of visibility. Psychological research shows that the so-called mere-exposure effect – the repeated perception of a brand alone increases preference – also works digitally. If a potential customer first sees your company mentioned in an AI response, then reads a specialist article about you on LinkedIn and finally enters your company name into Google and finds a professional website with good reviews, a path of trust is created that has a far stronger effect than each of these individual contact points on their own. Search Everywhere Optimization is therefore not a tactic, but a strategic approach that takes the way people search today seriously – and turns it into an opportunity for companies of all sizes. Swiss SMEs that seize this opportunity now will find that it is possible to build a remarkable digital presence even with modest resources if you use the right platforms and prioritize the quality of your content over its quantity.
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