AI does not standardize brands: it amplifies their strengths and weaknesses. More than ever, language is becoming a strategic asset for differentiation.
For several weeks, the standardization of content has become one of the main topics of discussion aroundartificial intelligence generative.
AI is profoundly transforming the way brands produce their content.
Articles, publications on social networks, campaigns, newsletters, conversational responses, virtual assistants: the opportunities for speaking out are increasing and the volumes of content are reaching unprecedented levels.
Companies use the same tools, the same models and the same generation logic, their discourses naturally tend to converge. The same expressions appear everywhere. The same keywords are found in articles, campaigns or websites.
This acceleration represents a tremendous opportunity. But it also creates a new challenge for brands: preserving their singularity when their expression becomes infinitely reproducible.
However, differentiation has never been a subject specific to artificial intelligence. On the other hand, AI today makes the risk of standardization much more visible.
Singularity, at the heart of brand strategy
The search for singularity is not a new subject. It is one of the foundations of the brand.
In the field of naming, for example, differentiation is a fundamental requirement. Legal constraints require companies to create names capable of distinguishing themselves from their competitors.
No one would agree to launch a brand with a name too close to an existing player.
However, when it comes to messages or content, the requirements are often less stringent.
How many brand platforms are still based on promises such as innovation, proximity, excellence, trust, etc. Legitimate notions, but widely shared.
In many industries, brands ultimately stand for very similar ideas and often use the same words to express them.
AI only amplifies this reality.
Companies have made great progress in formalizing their brand platforms. They define their mission, their vision, their positioning and their strategic pillars. But another dimension sometimes remains underestimated: the way in which these ideas are expressed.
Two brands can share the same territory. They should never tell it the same way.
Build a brand language before producing content
Before looking for the right prompts, brands must clarify their own language and refocus on fundamentals.
What messages belong to them? What words do they want to defend? What narrative territories do they want to occupy? What expressions contribute to their recognition? On the contrary, which terms should be avoided because they have become generic?
In other words, they must formalize a real language system: priority messages, narrative territories, distinctive lexicon, signature expressions….Manage their language as they already manage their visual identity.
Because artificial intelligence amplifies what is given to it.
When a brand relies on generic language, AI naturally reproduces it. When it has a distinctive language, AI becomes a formidable accelerator.
The real question is therefore perhaps not: How to prevent AI from standardizing brands?
But rather: Have brands worked hard enough on their uniqueness before asking AI to amplify it?
