The aha moment and why thought leadership sells more than any product feature: Talk about vs. Talking around

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Published on: March 16, 2026 / Updated on: March 16, 2026 – Author: Konrad Wolfenstein

The aha moment and why thought leadership sells more than any product feature: Talk about vs. talking around – Image: Xpert.Digital

Focus on business and industrial communication: How German SMEs are giving away their greatest asset

AI-generated texts or genuine expertise? The dangerous phrase trap in B2B marketing

In modern B2B industrial communication, enormous budgets flow in two completely opposite directions – with drastically different consequences for business success. On the one hand, there are market leaders who build genuine thought leadership using the so-called "talk-about" methodology: They share in-depth knowledge, specifically address their customers' knowledge gaps, and reduce transaction costs in the sales process through maximum clarity. On the other hand, the "talking-around" methodology is rampant – a highly professional-sounding corporate doublespeak made up of empty phrases and buzzwords that slows down decision-making processes, destroys trust, and squeezes margins. This lack of substance poses a massive economic risk, especially for innovation-driven German SMEs with their enormous technical expertise. This article examines why language in the B2B sector is no longer just a soft marketing factor, but tangible economic capital – and how companies can stop burning budgets on expensive buzzwords and instead generate measurable competitive advantages.

Two communication logics, one economic problem

Anyone observing the industrial communications landscape today will see two contradictory movements occurring simultaneously and drawing on the same budgets. On the one hand, there are companies that consciously design their content to open up new perspectives for their markets, address blind spots, and help decision-makers structure the growing complexity. On the other hand, there is a language that sounds professional but provides little reliable information and slows down decision-making processes rather than facilitating them.

At its core, two communication logics clash. One uses attention as a scarce resource and attempts to generate a perceptible, memorable gain in knowledge from every interaction. This logic underlies the talk-about methodology: content is constructed to trigger moments of surprise, set the agenda, and build trust in the long term. The other logic relies on circumlocution, euphemism, and corporate doublespeak to mask ambiguities, package problems, and signal a willingness to innovate where little operational substance exists. This talking-around methodology produces a language that consumes attention without providing any value in return.

From an economic perspective, this isn't a matter of style, but rather one of allocation. Both approaches require personnel, time, and media spending, and both target the same decision-makers in the same markets. The question is whether, overall, communication reduces transaction costs, builds trust, and secures margins—or whether it becomes a structural risk factor because it raises expectations that cannot be met operationally. Against this backdrop, language in industrial communication can be understood as a form of capital: it can become a productive resource—or a disguised source of losses.

Attention economy: When every minute becomes a cost factor

Modern industrial communication is under pressure that is rarely explicitly analyzed from a business perspective. A B2B decision-maker navigates daily through feeds, newsletters, white paper teasers, webinar invitations, and LinkedIn posts – and has only limited cognitive capacity to process it all. Studies show that a large proportion of decision-makers feel overwhelmed by advertising messages, while simultaneously expecting highly personalized content and genuine expertise. The gap between what is sent and what is actually needed is therefore not just a content-related problem, but a productivity one.

The scarcity of attention has direct economic implications. Any content that consumes a decision-maker's time without providing usable added value implicitly increases search and evaluation costs for the customer. In a world where up to 70 percent of the B2B decision-making process takes place before any sales contact is even established, the value creation of communication shifts forward into the research process. Content not only determines whether a supplier even makes the shortlist, but also the level of internal justification required for a purchase decision.

This makes communication itself an input factor in transaction costs. Clearly structured, substantive content shortens decision-making processes and reduces the number of queries, clarification loops, and internal coordination steps. Vague, jargon-heavy communication achieves the opposite: it creates room for interpretation, forces follow-up questions, and shifts the risk of clarification to the customer. The perceived professionalism of the language then comes at a price, resulting in longer sales cycles, delayed project approvals, and more sensitive price negotiations.

From the perspective of industrial companies, this dilemma is exacerbated by their own starting position. Small and medium-sized enterprises (SMEs) in particular possess deep technical know-how, long-established industry knowledge, and robust experience with customer processes. At the same time, many of these companies still communicate digitally with general product messages, generic company profiles, and a pace reminiscent of obligatory communication. The result is a structural under-monetization of existing expertise: The knowledge is there, but it is not being translated into effective economic differentiation through communication.

Talk-about methodology: When content acts as a value driver

The talk-about methodology addresses precisely this point and explicitly understands communication as a strategic resource. Its core is not increasing the amount of content output, but rather selecting and presenting those topics that trigger a genuine "aha!" moment in the target audience. This "aha!" moment is not a trendy marketing term, but a well-described psychological phenomenon: people react particularly strongly to content that fills a perceived knowledge gap and reveals new connections.

Applied to industrial communication, this means: It's not enough to describe technical specifications or reiterate well-known market trends. Value is created when a company establishes connections that are relevant to decision-makers but are rarely addressed in this way. When a machine manufacturer not only explains functional characteristics but also demonstrates how geopolitical tensions in supply chains specifically affect the availability of critical components—and what realistic options a buyer has today—the function of communication shifts. It transforms from a means of sales promotion to an instrument of risk awareness.

This shift in perspective has measurable consequences. Studies on high-quality creative advertising show that content that surprises and sticks in the mind generates significantly higher returns than interchangeable campaigns. In the B2B context, where individual decisions entail large investment volumes, the leverage is doubly effective: A won order compensates for a large number of communication measures, while a lost order, due to a lack of differentiation, is not easily replaceable. Talk-about content therefore not only strengthens brand awareness but also shifts the probability of success in the sales funnel.

Traditional content marketing often focuses on answering questions already articulated by the target audience, addressing search terms, and generating reach. The "talk about" approach, however, goes further, targeting questions that haven't yet been asked but will become crucial for decision-making within the next two to three years. Those who occupy this "white space" position themselves not just as suppliers, but as thought leaders. Thought leadership thus becomes a strategic infrastructure: companies that consistently deliver substantial, surprising, and relevant content gain a position in the minds of decision-makers that extends beyond their own product range.

This role has direct economic effects. If a large proportion of buyers view a company's thought leadership content as a more important foundation of competence than traditional product documentation, the location for building trust shifts. Trust is then no longer primarily generated through personal conversations with sales, but rather through the repeated experience that a company provides insightful, reliable, and useful assessments in its publicly available content. Willingness to pay, tender participation rate, and willingness to recommend the company thus become functions of this published thinking.

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The talk-about methodology in business communication: Whoever sets the topics leads the market – whoever doesn't surprise will be overlooked

Talking-Around Methodology: When Language Becomes a Fog Wall

The talking-around methodology represents the opposite of this approach. It doesn't use language to make complexity understandable, but rather to mask gaps in content and cloak ambiguities in attractive formulations. Circumlocution—that is, talking around a situation instead of stating it clearly—and euphemism—the euphemistic description of unpleasant realities—are long-established rhetorical techniques. In industrial communication, they merge into corporate doublespeak: a form of language that appears professional but remains informationally poor.

The economic problem isn't that a formulation sounds "too marketing-like," but rather that it systematically obscures key decision-making information. If a predictive maintenance software provider speaks only of "holistic optimization of asset availability and sustainable added value along the value chain" instead of providing concrete performance data, the recipient doesn't develop a precise understanding of the benefits. The buyer can neither estimate the magnitude of potential effects nor link the statement to their own key performance indicators. Every subsequent clarification takes time and shifts the risk of misinterpretation onto the customer.

At the industry level, this linguistic logic has a cumulative effect. Terms like "Industry 4.0," "digital transformation," "AI-supported processes," or "supply chain resilience" originally had clearly defined meanings and marked concrete technological and organizational changes. However, their inflationary use in presentations, press releases, and trade fair appearances is causing them to lose their distinctiveness. When virtually every software, every automation solution, and every process adjustment is considered "transformative," the term becomes useless for discerning decision-makers. The semantic space is filling up with signals that no longer allow for reliable conclusions.

This development has two serious consequences for industry. First, the ability to differentiate oneself diminishes: when everyone uses the same buzzwords, customers can hardly discern the actual differences between offerings without delving deeply into technical details. Second, trust in communication promises erodes overall. The Edelman Trust Barometer has shown for years that exaggerated promises, inflated ROI figures, and overly polished messages increase skepticism, even if individual statements are factually correct. The result is a kind of collective discount on all forms of marketing communication.

This is particularly evident in the field of sustainability communication. Studies at the EU level show that a significant proportion of companies' environmental claims are vaguely or misleadingly formulated. Terms like "climate-neutral" or "environmentally friendly" are often used without verifiable criteria. Legal disputes surrounding such statements illustrate that "talking around" not only damages reputations but also creates very concrete legal and financial risks. At the same time, a fundamental distrust of sustainability promises is growing among the general public and B2B decision-makers – even those that are carefully substantiated.

Related to this:

Circumlocution and euphemism: The talking-around methodology in political, economic, and industrial communication

Psychological and institutional motives: Why Talking Around persists so stubbornly

The fact that companies nevertheless cling to talking-around patterns has less to do with deliberate intent to deceive than with psychological and institutional mechanisms. On an individual level, vague language protects against direct attack: those who don't commit themselves cannot be precisely refuted. In hierarchical organizations, where clear negative statements are perceived as a career or face-loss risk, it seems safer to couch problems in softer formulations.

At the institutional level, a pressure to conform arises, which is particularly strong in technology-driven industries. When all major competitors use similar buzzwords, the impression is created that sober, clear language would signal a lack of innovation. No company wants to be the only exhibitor at a leading trade fair not talking about "AI-supported automation"—even if the actual solution has little to do with learning systems. Thus, the inflationary use of buzzwords intensifies into a spiral in which the supposedly safe jargon ultimately undermines one's own credibility.

Furthermore, there is organizational fragmentation: Marketing departments are often measured by soft metrics such as reach and brand perception, while sales units are responsible for hard deals and margins. When marketing operates with abstract narratives, but sales has to argue with concrete specifications and results, a disconnect arises. Customers then experience a polished but vague story during initial contact and later encounter a reality in the sales process that only partially supports this narrative. The result is a loss of trust, which is usually reflected not in the marketing budget, but in advance payments and renegotiations.

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Trust as the new currency: How plain language becomes a decisive competitive advantage in B2B

Trust, transaction costs, and willingness to buy

In B2B markets with high investment sums, trust is not a mere add-on, but a crucial economic factor. Machines, software platforms, or automation solutions tie up capital for years, impact productivity, quality, and risk profiles, and are difficult to reverse. Under these conditions, trust in a supplier's competence and integrity often becomes more important than marginal price differences. Communication then determines not only whether an offer is considered, but also whether a decision-maker is willing to take responsibility for a recommendation.

The talk-about methodology builds directly on this. It delivers content that doesn't just claim competence, but demonstrates it. Studies show that decision-makers view thought-leadership content as a more reliable basis for assessing a provider's expertise than traditional marketing materials. When a company regularly offers new, comprehensible perspectives on relevant topics, it builds trust, which has an impact in several dimensions: The likelihood of even being invited to tenders increases; the acceptance of ambitious but well-founded solutions grows; and the willingness to accept price premiums increases.

At the same time, effective communication reduces transaction costs. The clearer the benefits of an offer are described, and the more precisely targets, prerequisites, and limitations are defined, the fewer rounds of clarification are needed. This benefits both suppliers and customers. Sales teams can focus their time more on generating qualified leads instead of clearing up misunderstandings. Buying centers can better compare alternatives, develop well-defined business cases more quickly, and persuade internal decision-makers more effectively. Overall, decision cycles are shortened, and the risk of projects getting stuck in the pipeline decreases.

The talking-around methodology systematically produces the opposite effect. When performance promises are packaged in abstract formulas, it creates uncertainty on the customer's side. Jargon and euphemisms increase the likelihood that different stakeholders will interpret the same document differently, forcing additional coordination and inquiries. In extreme cases, misjudgments occur because key assumptions were not explicitly stated; the resulting corrections not only incur operational costs but also damage the relationship.

In the long run, "talking around" impacts the trust level of an entire industry. When decision-makers repeatedly experience that bold promises are only partially fulfilled in reality, they react with general skepticism – even towards sober, substantiated statements. The initial trust that companies enjoy turns into a presumption of distrust, demanding additional evidence, references, and guarantees. From a business perspective, this means: acquisition and support costs increase, while the willingness to embrace innovative offerings without extensive safeguards decreases.

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Data-driven B2B industry hub as a quasi-in-house solution

Industrial location and international competition

The question of whether industrial companies tend to follow a "talk about" or "talking around" logic is therefore not only an internal company issue, but also a location-specific one. Part of the historical success of the "Made in Germany" label was based on the fact that technical excellence and communicative precision coincided. Those who bought German machinery or equipment expected not only product quality, but also honesty in the performance promise. If this link breaks down, the location loses part of its differentiating advantage.

This becomes apparent in international comparisons. While some competitors – for example, from Asia – are increasingly presenting themselves with very concrete performance indicators, detailed reference projects, and transparent implementation reports, many Western European providers are still working with generic formulas for the future. At the same time, studies confirm that German industrial companies recognize the high strategic relevance of topics such as Industry 4.0 and artificial intelligence, but simultaneously admit that actual implementation falls short of their own expectations. A gap exists between the communicated ambition and the operational reality, which is perceived in the market as a credibility problem.

This gap is dangerous because it cannot be closed with traditional marketing methods. The more often companies talk about "AI-powered" offerings that, upon closer inspection, turn out to be classic automation solutions, the faster buyers develop mental warning signals. In times of digital comparison platforms, networked procurement communities, and AI-supported research tools, such experiences spread faster than ever before. Once trust is damaged, it can only be rebuilt with considerable effort and over a long period of time.

At the same time, regulatory pressure is increasing, particularly in sustainability communication. Imprecise or misleading environmental claims are increasingly being treated not just as a moral issue, but as a distortion of competition. The green claims debate in the EU aims precisely at replacing vague terms with verifiable standards. For companies that have so far relied heavily on narrative sustainability claims to differentiate themselves, this means that empty promises can become tangible risks – through lawsuits, fines, and reputational damage.

The talk-about methodology offers a structural alternative. Instead of defining sustainability in general terms, it focuses on concrete improvements: energy savings in percentage terms, CO₂ reduction per production unit, measurable improvements in scrap rates or lead times. These key performance indicators (KPIs) are verifiable, compatible with customers' existing KPI systems, and robust against regulatory scrutiny. While this approach raises the bar, it eliminates the risk of communication falling apart under closer scrutiny.

Counter-strategies: How industrial communication is regaining substance

Several guiding principles for economically rational industrial communication emerge from the comparison of the two methods. The first is: Every external statement must be anchored in a concrete customer benefit. Instead of self-descriptions, results should take center stage: time savings, cost reductions, quality improvements, risk reductions. The closer these statements are to the target group's key performance indicators, the greater their value. The talk-about logic thus requires a shift in thinking: away from the question "How do we present ourselves?" and towards the question "What decision-making questions of our customers can we specifically answer?".

The second guiding principle concerns internal coherence. Marketing, sales, and product development must agree on a shared understanding of the product's value proposition. If communication promises benefits that are not yet inherent in the product or are only achievable under ideal conditions, "talking around" inevitably occurs because the gap must be bridged linguistically. Interdisciplinary coordination processes are therefore not only desirable from an organizational policy perspective but also economically necessary: they limit the difference between communicated and actually deliverable value.

The third guiding principle is strategic in nature and aims at thought leadership. Companies that systematically identify thematic areas in which they possess genuine expertise and differentiation potential can focus their communication on these fields in the long term. Instead of taking a position on every trendy topic, they choose a few, but relevant, key areas to which they consistently make substantial contributions. Agenda-setting thus becomes an investment in "topic capital": those who are visible early and consistently in a field shape the terminology, the framing logic, and the reference points against which others are measured.

The fourth counter-strategy concerns style and tone. Clarity, brevity, and specificity are not signs of a lack of professionalism in the B2B context, but rather a distinguishing feature. Value-oriented communication—in the sense of a value-based selling approach—requires that formulations are understandable, verifiable, and relatable. Anglicisms, abstract noun phrases, and watered-down clichés may be considered "state of the art" internally, but they lose their effectiveness as soon as decision-makers with limited time read them in the context of numerous similar messages.

Role of AI: Amplifier in both directions

The increasing use of generative AI tools is exacerbating this dilemma. On the one hand, they make it possible to generate large quantities of text variations in a short time, structure topic ideas, and prepare existing content for different channels. This is tempting for overburdened marketing teams in medium-sized businesses because it seemingly solves the volume problem. On the other hand, AI also multiplies the risks of the "talking around" methodology: If it is fed vague briefings, general phrases, and diffuse positioning, it produces scaled-up jargon.

The talk-about logic offers a way to use AI in a targeted manner. It shifts the focus of human work to strategic preparation: topic selection, defining relevant knowledge gaps, developing robust lines of argumentation, and establishing concrete key performance indicators and examples. AI can then help to present variations, adjust lengths, differentiate formats, and generate language versions without diluting the core content. Crucially, the "aha" moment of a piece of content doesn't automatically come from the tool, but from the preceding content refinement.

Talk-about vs. Talking Around in medium-sized businesses

The situation is particularly ambivalent for medium-sized industrial companies. Many of them are operational "hidden champions": They possess niche expertise, deep customer relationships, and stable business models that can easily compete internationally. At the same time, their communication infrastructure is usually more limited, budgets are restricted, and responsibility for communication often lies with small teams or shared roles. In this context, resorting to industry jargon appears to be an efficient shortcut because it promises access to standard discourse without significant development effort.

Economically, however, this is a short-sighted optimization. Companies that can actually deliver what others only promise are forfeiting a crucial differentiating factor with "talking-around" communication. They linguistically align themselves with providers whose substance is considerably thinner, thus potentially missing out on higher willingness to pay, shorter decision-making processes, and more stable customer relationships. The "talk-about" methodology offers them the opportunity to correct this blind spot: It forces them to explicitly state their actual value creation and to present it in a way that can be understood externally.

Same budgets, opposite effects

At first glance, the talk-about and talking-around methods appear to be two variations of the same practice: companies talk about themselves and their performance. In reality, they represent opposing economic strategies for managing attention and trust. One uses language to translate scarce cognitive resources into reliable decision-making criteria, explain risks, and realistically quantify opportunities. The other uses language to mask uncertainty, raise expectations, and signal engagement with current trends, without always providing the necessary operational foundation.

In an environment where B2B decision-makers spend more time engaging with content before speaking to sales, and where digital tools allow direct comparison of different providers' communication promises, the choice of language logic itself is an investment decision. Companies can either invest their budgets in content that makes markets smarter, shapes discussion spaces, and builds trust—or in language that makes a short-term impression but generates skepticism and additional costs in the long run.

For German SMEs, with their deep technical expertise, the "talk about" methodology is more than just a communication framework. It's an opportunity to translate the traditional strengths of the region—precision, reliability, and problem-solving skills—into a modern language that works in digital channels without resorting to empty buzzwords. From this perspective, language is no longer just background noise to business, but a productive factor: it plays a decisive role in whether a company fades into the background noise of communication—or is perceived as a voice that, when in doubt, is believed more readily than that of the competition.