April 15, 2025 - 5 Min Read Transparency and deepfakes

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Between progress and a crisis of trust

How can companies deliberately build trust in 2025? Artificial intelligence has turned the world of communication upside down. Texts, images, videos – with the right AI, all of this can be generated in no time and with ever-increasing quality. Political and economic dynamics are accelerating this development, making the line between communicative innovation and deliberate manipulation ever thinner.

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Digital trust:

The holy grail in the buying process

Authenticity is a must for B2B brands. Buyers choose significantly more often in favor of companies they trust in the digital space – even if competitors are cheaper. Trust thus becomes the decisive competitive factor.

Whether due to long buying cycles, complex decision structures, or high investments: when it takes months or even years to reach a purchase decision, a foundation of trust must be actively built from the very first interaction.

That’s no easy task – especially in an era where deepfakes and generative AI increasingly blur the sense of reality.

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Honesty as the key

One of the most important measures for building trust sounds simple in theory but is often neglected in practice: honesty. Customers don’t want to be misled. Was AI used in developing the communication? Great – as long as it’s communicated openly and transparently.

By labeling AI-generated content or automated processes, customers can always understand whether they are interacting with a machine or a human. Clear and straightforward information avoids uncertainty and shows that a company has nothing to hide.

That doesn’t mean that every text proofread by ChatGPT (like this one, by the way) needs a disclaimer. What’s at stake are primarily images and videos that are artificially generated but deceptively real – and thus create a distorted or false impression.

Real insights instead of AI gloss

Brands perceived as trustworthy show character – sometimes even rough edges. They stay true to themselves across all touchpoints. Especially in digital communication, a clear brand personality makes it easier for users to trust: with a consistent tone of voice, distinctive imagery, transparent attitude, and strong recognizability.

With the use of AI, however, the risk of uniformity rises. Many AI-generated assets are technically flawless but emotionally interchangeable. Decision-makers are therefore challenged to use the technology purposefully without diluting their brand’s character – because AI can speed up texts, images, or processes, but without careful oversight it can quickly alter the essence of a brand.

Every AI-generated image, every automated message should still sound like your brand – not like a generator. Only then will trust remain intact, even in digital polish – because people can sense that true brand personality stands behind it.

False data – real risk

AI systems work with massive data sets – which include not only valid but also faulty or misleading sources. This creates the risk of reproducing false information in your own content. That’s why alignment with brand identity is essential, but so is rigorous content quality control.

Yes, there are tools to support fact-checking – but in the end, nothing replaces human judgment. Only this prevents AI-generated content from sinking to the level of an average chatbot. If that happens, AI use not only looks unprofessional – it can cause real damage to the brand. Because if you talk about expertise, you also have to prove it.

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Corporate trust: how to protect your company

Trust is one of the most important assets in B2B marketing – and at the same time extremely fragile. A single misstep can undo years of brand-building. But there are simple ways to protect your brand:

  1. Transparency is essential: If you use AI, communicate openly about where, how, and why. Clear labeling creates security.

  2. AI can create content efficiently, but it cannot replace brand identity. The use of generative tools must not come at the expense of brand character.

  3. Polish alone is not enough: Generic AI texts or stock-like images feel interchangeable. People trust genuine insights – not just perfection.

  4. Errors lurk everywhere: Unverified content, lack of expertise, or unreflective AI use can destroy trust faster than it is built.

Conclusion: it’s all about balance

AI is neither good nor bad – it is a tool. Its purposeful use determines whether trust is created or mistrust grows. Brands that use AI strategically to gain genuine customer insights – but not for sterile, standardized communication – strengthen their credibility.

The future belongs to brands that combine technology with humanity. Authenticity remains the best safeguard against the darker sides of AI – because what is truly real doesn’t have to be perfect. But it does have to be honest.

Author: Marco H.

As Account Manager, Marco shows the same stamina he brings as SYNBRAND’s go-to person for all IT matters. His carefully thought-out project planning and his humorous nature make both our clients and the SYNBRAND team shine.

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