Prompt economy: Why brands no longer type their language, but program it instead
It used to be said that individuality arises wherever it is not prevented. Today, the opposite is true. In large language models, character emerges only where it is explicitly mandated. LLMs choose the most likely word, not the one most typical of the brand. If you don’t code language, you end up in a gray area.
The Harvard Business Review reportsthat 58% of consumers already obtain product recommendations directly from ChatGPT & Co. In the last Christmas quarter, AI referral traffic on US retail sites increased 13-fold. Visibility is shifting from Google rankings to model responses. Anyone who sounds generic there disappears. Even with perfect SEO. And because visibility is shrinking, prompts are being tweaked instead of principles.
Prompt optimization is cosmetic
Companies react reflexively: they tweak individual prompts, ban filler words, test system messages. That works - exactly once.
As soon as a new model, another team or another use case comes into play, the tuning starts all over again. Prompt optimization cures individual cases, but does not build an identity. Worse still, it shifts responsibility from the brand to authors. Everyone tinkers with their own shortcut, there is no overall direction.
This is precisely where a different logic comes in: Prompt economy thinks of language not as text, but as infrastructure.
Prompt economy thinks language as infrastructure
A prompt economy shifts the focus from the individual text to systemic control. Three layers are enough:
- Verbal Identity Code: Five rules define posture, syntax, language mode. 25 ID markers define terms, greetings, rhythm. The marker becomes a machine language.
- Prompt library: Ready-made templates take target group and channel specifics into account. Newsletter, Insta post, PR statement: parameters in, tone out.
- Feedback loop: An audit dashboard measures tonality fidelity and highlights the need for corrections. Language becomes controllable like a KPI.
The result is a central voice OS that humans and machines understand equally. If texts come from the system, then at least with recognition.
Effects on day-to-day business
Scalability: A defined code is model-agnostic. Whether GPT-4o, Claude 4 or your own LLM - rules remain, engine changes.
Consistency: Briefings no longer degenerate into gut feelings. Every line is comprehensibly on-brand.
Efficiency: Teams save approval loops; copywriters become code writers who maintain markers and evaluate data feedback.
Differentiation: Coded deviation becomes an advantage. While the competition sends "friendly reminders", your brand reminds: "Time for the next step - we're ready when you are."
A 2025 study in Nature Communications shows that brand-typical speech patterns increase perceived authenticity by up to 22 percent, even in fully automated dialogs. Not a stroke of prompting genius, but replicable brand logic.
Conclusion: Without coding, only arbitrariness remains
Prompt optimization is patchwork. Prompt economy is architecture. It turns language into an infrastructure layer that every touchpoint can tap into: consistent, scalable, unmistakable. Without this coding, AI does not multiply the character, but the arbitrariness of a brand.
The future of brand management will not be decided by text versus text, but by code versus code.
* Julius Jäger is Executive Strategy Director at Jung von Matt Brand Identity. In the interview with m&k, he recently revealed how important a clearly defined verbal identity is for a brand, especially in times of artificial intelligence. In his exclusive guest contributions, he takes an in-depth look at the Measurability of language and the importance of a "prompt economy".
