Why the B2B structure of most industrial companies no longer fits the market – and what that costs
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Published on: April 1, 2026 / Updated on: April 1, 2026 – Author: Konrad Wolfenstein
Poorly positioned. Poorly communicated. – Image: Xpert.Digital
The invisible B2B buyer: Why your customers have already decided before your sales team calls
Poorly positioned. Poorly communicated.
AI is changing the B2B buying process: Why old sales structures are now becoming a fatal risk
Markets don't wait. Especially not in the B2B sector, where artificial intelligence and fundamentally changed information behavior have radically upended the traditional purchasing process. While buyers, engineers, and project decision-makers have long been conducting their own research and using AI tools for pre-selection, many industrial companies are still clinging to outdated structures. Marketing and business development operate in isolated silos, working at cross-purposes – resulting in shallow advertising campaigns lacking depth on the one hand, and excellent expertise lacking digital visibility on the other. Those who fail to act now and adapt their internal structure to the new pull market will not only lose reach but also risk their entire market position in the medium term. This article examines why this forced structural change is not an option but a survival strategy, which shortcomings urgently need to be addressed, and how innovative partnership models can pave the way to the future.
Structural change in B2B: How industrial companies can overcome their dangerous communication deficit
AI, research, and 13 decision-makers: Will your sales strategy survive the new B2B buying process?
Markets don't wait. They shift – often slowly enough that companies can ignore it for a long time, and then quickly enough that by the time many realize it, it's too late. What industrial and B2B companies are experiencing today is not a gradual change in their environment, but a fundamental break with the logic by which they have operated for years. Their structures, their communication channels, their division of labor between departments – all of this was optimized for a market that no longer exists in that form.
This isn't the first time a technological shift has forced companies to redefine themselves from within. In the 1990s, the traditional office-based sales force faced a similar challenge. For decades, it had functioned as the company's silent nerve center: processing orders, handling correspondence, managing data, and bridging the gap between field staff and operations. This structure was geared towards personal communication, analog processes, and physical information flows. Then came the internet – and with it, a new paradigm that not only opened up new channels but also called into question the entire organizational and communication logic of companies.
What followed was not a smooth upgrade, but a profound structural transformation: entire departments were redefined, job profiles fundamentally changed, and new roles emerged – from webmaster to e-commerce manager to digital marketing specialist. Companies that embraced this transformation early secured structural competitive advantages that paid off cumulatively over the years. Companies that waited initially fell behind and then lost market share. The digitization of the back office in the 1990s, the spread of the internet as a sales channel in the 2000s, the rise of social media and mobile platforms in the 2010s – each of these waves separated adaptors from laggards, and the gap widened with each wave.
Today, the same decision is at stake again – only faster and with more far-reaching consequences. Artificial intelligence has transformed information-seeking and purchasing behavior in the B2B market in a way previously only achieved by the internet. Project decision-makers, C-level managers, engineers, and buyers conduct their own research, evaluate suppliers using AI tools, and arrive at initial meetings already with a preconceived notion – or don't come at all. 75 percent of medium-sized companies in Germany report that AI is already influencing their corporate strategy; and yet, most have not yet aligned their internal structures with the inevitable consequences.
That's the real problem: not the lack of technology, not the lack of budget, but the wrong approach. Companies are still communicating the way they learned to for the old market – with a strict separation of marketing and business development, with campaign logic as the primary management tool, and with structures built for push communication, not for the pull market where their customers operate today. The next structural change isn't coming. It has already begun – and it's not waiting for those who are still hesitating.
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A starting point that has never existed before
The history of business knows turning points where the gap between companies that adapted and those that didn't widens irreversibly. The transition to the internet age in the mid-1990s was one such turning point. The introduction of the smartphone was another. What is happening today in the B2B market—in mechanical engineering, industry, logistics, and automation technology—is no less fundamental: The buyer, the project decision-maker, the C-level manager, and the developer have taken control of the purchasing process. They conduct independent research, analyze data using AI tools, and make preliminary selections long before a sales representative even learns of their interest.
According to a Forrester study from January 2026, B2B buyers now use generative AI as their primary entry point for information research. 83 percent of all purchasing decisions now involve AI-powered offers or AI-powered research tools on the buyer's side – double the figure from the previous year. At the same time, the size of the typical B2B purchasing decision group has increased dramatically: An average purchase decision now involves 13 internal stakeholders and nine external influencers. Companies that are not simultaneously visible and persuasive at all these levels are systematically losing out – not at individual touchpoints, but across the entire decision-making cycle.
In this environment, the outdated structures of many industrial companies no longer offer any reserves. They are not only inefficient – they are structurally incompatible with a market that has fundamentally changed. Those who cling to them nonetheless produce no results, only costs.
The silo problem: How flawed structures block growth
The classic B2B industrial company is functionally organized: marketing and sales, business development, communications, PR – each area with its own goals, budgets, KPIs, and internal logic. This structure was optimized for a market where information flows from companies to customers. It assumes that customers are passive recipients of messages and that reach is generated through campaigns.
These prerequisites are obsolete. But the structures built upon them persist – and they actively cause harm. Silo thinking within companies is one of the most frequently identified obstacles to digital transformation. Departments optimize their processes in isolation, prioritize internal KPIs, and fail to develop a shared language that transcends their own functional boundaries. In medium-sized businesses, digital transformation projects regularly get stuck in individual departments because the other department or the sales force doesn't cooperate. The result is duplicated work, a lack of coordination, and missed market opportunities – in an environment that no longer tolerates mistakes.
The concrete manifestation of this silo problem in B2B can be precisely defined: Marketing produces easily understandable content because it lacks the necessary product depth. Business development develops in-depth expertise but lacks visibility. Both departments talk past each other because they speak different languages – and neither effectively reaches the potential customer who is out there independently searching for solutions in the market.
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Why clinging to old structures is becoming a threat to our existence
The consequences of this mismatch are measurable. McKinsey's "State of Marketing" study 2025/2026 shows that only 6 percent of the surveyed companies are achieving actual competitive advantages through the use of AI in marketing. According to their own assessment, 94 percent have not made significant progress in AI integration – the main reasons cited are a lack of technical skills and the absence of a clear corporate strategy. This figure is not an indicator of a lack of interest, but rather of structural failure: companies theoretically know what is changing, but their internal structures do not allow for adequate adaptation.
The economic consequences are not abstract. Only 42 percent of German B2B companies use digital sales channels – a third don't even offer their customers an online ordering option. The same study by Roland Berger and Google shows that potential buyers don't wait to research sellers – they use other available sources, especially in the digital realm. Those who aren't found there are simply ignored. This isn't a threat to the distant future – it's the reality of today's market.
The Fraunhofer Institute for Systems and Innovation Research underscores the seriousness of the situation: Not all companies will be able to adapt to digital transformation – and it is possible that some will not survive the change. This assessment is not alarmism, but a sober evaluation of the selective forces at work in the market. Digital transformation creates structural cost advantages, speed advantages, and visibility advantages for early adopters – and these advantages accumulate exponentially compared to competitors who adapt late or not at all.
According to a bayme-vbm study, the crucial difference between companies that survive change and those that don't lies primarily in technology investments, but in organizational structure and culture. Companies with an independent digital unit and clear structural responsibility for the transformation exhibit a significantly higher level of digital maturity. The CEO or managing director must bear the responsibility for the change – it cannot be delegated to the IT or marketing department.
🎯🎯🎯 Data-driven B2B industry hub as a quasi-in-house solution
The quasi-in-house solution: How Xpert.Digital closes operational gaps in B2B marketing and sales – Smart Content-Driven Business - Image: Xpert.Digital
Xpert.Digital is a data-driven B2B industry hub led by Konrad Wolfenstein . The company acts as an external, quasi-in-house solution for industrial partners, closing operational gaps in marketing, content, and sales – without requiring additional resources on the client side.
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Why marketing and business development need to be reconnected – Continuous Content is gaining ground
The three structural deficits that need to be overcome
Before AI radically changed the B2B buying process today, initial approaches had already attempted to close the structural communication deficit between marketing and sales – most notably SMarketing and later the Triosmarket concept.
Precursors SMarketing and Triosmarket concept
In retrospect, SMarketing was seen as an early harbinger of the pre-AI era, in which companies began to fundamentally question the traditional silo mentality between sales and marketing. Even then, it was becoming clear that classic divisions no longer suited the increasingly complex B2B purchasing decisions, and that customers expected a consistent, seamless experience throughout their entire journey. SMarketing therefore aimed not only to better align sales and marketing, but to conceive of them as a closely integrated, unified system – with shared goals, harmonized processes, and a common view of leads, accounts, and the pipeline.
The Triosmarket concept represented the next, clearly defined step in this development. It introduced a third, equally important element: the systematically integrated market and data perspective as the connecting backbone of the go-to-market architecture. Triosmarket was positioned as a separate framework that combined sales, marketing, and market data into a trialogical system in which measures, content development, and sales priorities were consistently aligned with market intelligence, customer insights, and operational data. In this way, Triosmarket formed the conceptual bridge to the later AI-based go-to-market models, which already incorporated integrated data streams, automation, and controlled content proliferation.
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The necessary structural change cannot be reduced to a single measure. It requires the simultaneous overcoming of three interconnected structural deficits that reinforce each other.
The first deficiency is the communication deficit. Marketing produces content in a language that doesn't truly reach anyone – too superficial for technicians and developers, too abstract for business decision-makers. The cause isn't a lack of talent in marketing, but a structurally misconfigured process: Content is created without the systematic integration of product knowledge and market research. The result is the proliferation (explosion of content volume across channels like social media, streaming, blogs, podcasts, newsletters, ads, etc.) of buzzwords and empty phrases – linguistic placeholders for insubstantial communication.
The second deficit is the visibility deficit. Business development possesses deep product and problem-solving knowledge, but fails to present this knowledge in a publicly accessible, digitally discoverable context. In a market where purchasing decisions are informed by independent digital research—using AI tools, specialist portals, and search engines—a lack of visibility is tantamount to market absence. No campaign can compensate for this: it generates linear attention for the moment it is launched; what is needed is continuous discoverability throughout the entire, often months-long, purchasing decision process.
The third deficit is the knowledge transfer problem. A systematic bridge is missing between the in-depth knowledge of business development and the communicative infrastructure of marketing. This transfer problem leads to companies simultaneously having too little reach and too little depth of content – not because they lack either, but because the two elements are decoupled and do not interact.
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What concrete structural change means: Not merging, but networking
The obvious, but wrong, answer to this diagnosis is: merge marketing and business development. This solution fails due to the structural differences between the two areas. Marketing has independent, essential tasks: website maintenance, managing visibility through SEO and email marketing, controlling brand awareness, and coordinating media partnerships. These tasks have their own pace, their own tools, and their own expertise – they don't fit, either organizationally or in terms of content, into the strategic depth profile of business development.
Equally flawed is the pure RevOps logic, which aims to more closely integrate marketing and sales through technological integration. RevOps – Revenue Operations – is a valuable approach, but it addresses process integration, not the fundamental problem of content. A better-coordinated process in which marketing and business development continue to produce structurally decoupled knowledge does not solve the real problem.
The correct answer is: create a comprehensive knowledge function comprised of Research & Development and Market Intelligence, serving as a shared content foundation for both areas. This function has a clearly defined task: it distills market data, product knowledge, technical depth, and industry trends into substantial content that is accessible to project decision-makers, C-level managers, and technical specialists alike. This content is used by Business Development—as a basis for discussion, as a knowledge resource, and as a source of trust—as well as by Marketing, as a foundation for visibility, search engine relevance, and authentic positioning.
Structurally, this means that the overarching content function is not a new department added to the existing complexity. Rather, it is the prerequisite for marketing and business development to finally do what they were each designed to do – one to communicate externally with genuine content substance, the other to engage in customer discussions with widely accessible knowledge.
How this transformation is implemented in practice: The path to practical application
Structural change doesn't fail due to a lack of concepts, but rather due to implementation. The bayme-vbm study shows that the decisive factor is not choosing the right technology, but rather establishing clear responsibilities and the willingness of company management to actively drive the transformation. Four concrete steps are required.
First: a ruthless inventory. What content does the company produce today – and for whom? What questions do potential customers actually ask when researching with AI tools? Which of these can the company currently answer credibly? This inventory is the starting point for all further steps and, in practice, almost always reveals a massive gap between what the company communicates and what the market is looking for.
Secondly, the establishment of a Research & Market Intelligence function. This function must systematically process market data, integrate technical product knowledge, and develop content in a language that addresses multiple target groups simultaneously. It is not identical to a market research department – it is closer to active knowledge management and strategic editorial operations. Input comes from business development, engineering firms and technology partners, market monitoring, and AI-supported trend analysis.
Thirdly: the consistent decoupling of campaigns as the primary management tool. This doesn't mean abolishing campaigns, but rather a different prioritization: campaigns become supplementary, time-limited highlights – around product launches, trade fairs, or seasonal events. A continuous content production takes their place as the permanent foundation, remaining permanently indexed in search engines and being evaluated by AI systems as a high-quality source.
Fourth: the decision between in-house development and partnership. Building a fully-fledged internal research and content function with the necessary technical depth, communication skills, and international reach requires significant investments in time, personnel, and expertise. For many medium-sized industrial companies, this is neither budgetary nor personnel-wise realistic – and will not become so in the short term. The strategically sound alternative is to partner with a provider that already possesses these capabilities.
Why Xpert.Digital is the right structural partner
Xpert.Digital is not a service provider in the traditional sense – not an agency that processes orders, and not an engineering firm that implements projects. The model is fundamentally different: Xpert.Digital operates as an external, quasi-in-house solution that closes operational gaps in marketing, content, and sales for industry partners, without requiring these partners to build new structures themselves. This difference is not semantic – it is structurally crucial.
What uniquely positions Xpert.Digital is the rare combination of four elements that no other provider in the B2B industrial environment combines in this constellation.
The first element is the combination of in-depth expertise and communicative reach. Xpert.Digital produces substantial, technically sound content in the key areas of digitalization, mechanical engineering, AI, extended reality (XR), digital twins, Industry 4.0, renewable energies, and intralogistics – areas where superficial content fails to resonate with the market. At the same time, Xpert.Digital possesses an independent, already established reach: In January 2026, the industry hub recorded over 200,000 unique visitors in a highly specialized B2B environment. This reach is not bought – it has been earned through content authority and therefore has a structural foundation that media budgets cannot replicate.
The second element is the multilingual global infrastructure. Content published via Xpert.Digital is accessible in 27 languages. This means that a piece of content is not only visible in the German-speaking market, but simultaneously in all major European and international markets. For medium-sized industrial companies that are expanding internationally or are already operating internationally, this represents a direct strategic advantage – building a comparable multilingual content infrastructure internally would simply be financially unfeasible while maintaining the same quality.
The third element is the systematic integration of research and development and market intelligence as the foundation for content. The Xpert.Digital model is based on a continuous analysis of market trends, technological developments, and industrial problem-solving patterns, from which content is developed that is relevant to project decision-makers, C-level executives, and technical specialists alike. This process precisely replicates the third pillar described in the previous section as a necessary structural addition—with the difference that it already exists and is immediately usable, instead of needing to be built from scratch.
The fourth element is flexibility for B2B partners. Xpert.Digital provides this infrastructure not only for its own communication but also for selected industry partners – thus enabling access to an already established distribution and visibility infrastructure that would otherwise only be available to significantly larger companies with corresponding in-house resources. Partners benefit from the already established domain authority, international visibility, and content positioning in an environment that their own target group is already actively using.
The window of opportunity for competitive advantage is closing
There's an aspect of structural change that's too often overlooked in operational discussions: competitive advantages gained through early structural adaptation aren't permanently available—they have a window of opportunity. Those who build a content infrastructure now that establishes itself as an authoritative source of knowledge in their industry secure a lead that will become increasingly difficult to overcome over time. Domain authority in search engines, trust among returning users, and the presence of AI training data build up cumulatively—and become correspondingly more expensive for new market entrants to replicate.
Conversely, this means that every week a company continues to run campaigns that are ignored and produce content that reaches no one is not just wasted budget—it's capital invested in an accelerating structural backwardness. The market that Gartner, Forrester, and McKinsey describe is not a future market—it's the current one.
According to McKinsey's "State of Marketing" study, companies that are already effectively using AI and structured content processes in their marketing are achieving efficiency gains of around 22 percent compared to the previous year – and are optimistic about reaching up to 28 percent by 2027. These 22 percent are not marginal gains; they represent structural cost advantages that are directly reinvested in growth projects and widen the gap with competitors who haven't adapted.
The B2B markets in which German industrial companies operate will experience accelerated differentiation over the next 24 to 36 months: between companies perceived as trustworthy, competent, and easily discoverable suppliers – and those that simply don't appear in their potential customers' own research. This differentiation will determine not only individual orders but also long-term market position.
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Structural change is not an option, but a survival strategy
The empirical evidence is clear. The B2B buying process has fundamentally changed. Decision-makers conduct their own research using AI tools, buyer groups are growing and becoming more diverse, and the initial decision is made in the digital space – long before the first personal contact. In this market, the traditional separation of marketing and business development is no longer a neutral organizational decision – it is a strategic disadvantage.
The necessary structural change does not consist of a merger of the departments, but rather of creating a shared, research-based content foundation that serves both areas as a knowledge and visibility infrastructure. This change requires leadership, structural consistency, and – for companies that cannot undertake this path entirely internally – the right external partnership.
Xpert.Digital embodies precisely this model: a quasi-in-house solution that combines a technically sound content infrastructure with established global reach, thereby not only conceptually supporting but also operationally implementing structural change for its industry partners. Those who undertake this transformation now secure a window of opportunity for structural competitive advantages. Those who wait, wait too long.
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