# The sender has lost control of the message

With AI standing between the company and the customer, the recommendation goes to coherence, not volume.

- Columnist: [Ricardo Figueira](https://ceoone.com.br/en/columnist/ricardo-figueira)
- Published: November 4, 2026
- Address: https://ceoone.com.br/en/article/the-sender-has-lost-control-of-the-message
- Em português: https://ceoone.com.br/artigo/o-emissor-perdeu-o-controle-da-mensagem.md

![A green paper speech bubble on yellow lined sheets, with three crumpled balls of yellow paper in the middle, like an ellipsis](https://pub-b80e49b2737940b3ab5d3f20d0578192.r2.dev/artigos/o-emissor-perdeu-o-controle-da-mensagem-foto-larga.webp)

Photo: Volodymyr Hryshchenko/Unsplash

## Key points

- Today a large share of choices begins with a question to an AI, which cross-checks what a company says about itself with what experts and customers say before citing it.
- For the author, the biggest threat to reputation lies inside the company itself: departments, products and websites telling different stories become incoherence, and the AI points to another.
- His advice to CEOs is to trade the addiction to volume for an architecture of coherence, and to test it: ask an AI who solves the problem your company solves.

Every executive, at some point in their training, learned the most elementary model of communication. A sender sends a message through a channel, and a receiver receives it. This simple scheme underpinned almost everything companies have always done, from opening up the media to become known to buying their own demand. Whoever controlled the message controlled perception and, often, even buying behavior. Volume and frequency became synonymous with presence, and budget became synonymous with relevance. That is how the addiction to volume took shape, learned by generations of executives: the belief that showing up more is always the answer.

In the previous article, I promised that AI would have room in the conversations ahead. It has arrived, and it arrived changing the oldest rule of communication.

This model is not over yet. But it is no longer where decisions happen.

Today, a large share of choices begins with a question put to an artificial intelligence. Which company can help me do this or that? Which is the best company to solve this problem? And, between the company and the person asking, an intermediary appears that did not exist in classical communication theory.

And this intermediary is not only on the screen of whoever opens ChatGPT or Claude. It is spread across almost every digital structure that feeds synthetically, directly and indirectly. A fund that asks an AI for a map of the soundest companies in a sector before deciding on an acquisition. A board of directors that receives a memo prepared by an internal copilot, comparing suppliers on its own. A report written by one AI that becomes a source for another's answer. And what is published today becomes the memory with which the next generation of models will think. Often, a company is assessed without anyone having asked a question about it, simply because it entered an invisible systemic "query". That is what produces this systemic influence. It does not happen in a channel. It happens in every layer where technology is processing requests, including the human one.

This new intermediary does two things in fractions of a second. The first is to inspect. Before saying anything about a company, the AI cross-checks what the company says about itself with what experts say about it, to spot inconsistencies. But it does not stop there. It also cross-checks all of this with what customers report about their experiences. In other words, if these voices uphold the same truth, with the same clarity, the company becomes a candidate to be cited. If the voices do not hold up, it simply does not make it into the answer. There is no "but what if".

The second thing this intermediary does is to interpret. What reaches the person is not the company's words, nor its slogans, but the synthesis the AI has built from the coherence that results from this cross-check. If there is coherence between the promise, the experts and the customer's lived experience, the company appears, paraphrased. And it is best to start preparing: the positioning line sponsored for years makes no difference at all to this equation. Only what survived the cross-check as coherence gets through. There is one more important detail. If experts and customers agree with each other but contradict what the company says, the AI may consider it important to raise a warning. Contrary to what many people claim, AI will not recommend a company because it paid. If it did, it would lose its credibility. Appearing in the commercial space is very different from being recommended.

In a few words, a brand can claim to be an expert in anything. Authority only begins when other sources come to recognize that competence independently. The company says: we do this. Qualified sources need to say: they do this. And people need to confirm: this is what I experienced. When the three voices tell the same story, the AI finds reasons to give weight to that company. It is simple. When the senders tell different stories, it hesitates. And, when it hesitates, it points to another, more coherent one.

This leads to an uncomfortable realization. If what decides is the cross-check, the most serious threat to a company's reputation is not its competitors. It is within the company itself. Large organizations tend to express themselves in dozens of different ways, "just in case", across departments, products, websites and sales pitches that often do not talk to each other. For a person, this may even be tolerable noise. For an AI, it is a volume of incoherence, and incoherence produces illegibility. The company is not rejected. It is simply not understood well enough to be considered. But one thing is a fact: your company does not need to be reinvented to be understood by AI. It needs to strip away everything that keeps it from being itself.

For most CEOs, the most practical consequence concerns where the money works. Part of the budget that buys volume today may be buying a reach that never gets to the moment when the customer decides.

At the same time, what starts generating recommendations is one of the company's greatest assets: an excellent architecture of coherence that conveys clearly, in natural language, what it does; cases that show the transformation and the result; people and knowledge linked to one another; experts who recognize the competence independently; customers who confirm the promise. None of this expires when the campaign ends. On the contrary, it accumulates.

And smaller companies? With well-tied governance, they tell the same story at every touchpoint. For AI, that is a catapult. Size and budget stop being an automatic advantage when the criterion becomes coherence.

The new business contest is not only for visibility. It is for consideration. And consideration is not bought the same way reach is. It is earned and sustained.

This requires unlearning an old reflex. When results fall, the usual response is to talk more, show up more and increase frequency. In the new model, more volume without coherence only spreads more illegibility. The addiction to volume, created by habit, needs to be unlearned. In the age of AI, a brand does not grow by how much it says, but by how much of what it says is confirmed.

Perhaps the most useful exercise for a CEO today is a simple one: open an AI, put yourself in the customer's shoes and ask who solves the problem your company solves.

The answer shows, better than any image survey, what the world can already interpret about your company.

The sender has lost control of the message. What remains in their hands is their own coherence. And, in these new times, that is what builds their image.

CEO ONE · https://ceoone.com.br