The machine asks clarifying questions; the professional refines strategy before any content is produced.
Across the marketing industry, a quiet reckoning is underway: the professionals who treat artificial intelligence as a vending machine are discovering that the machine has nothing to offer those who refuse to meet it halfway. João Rico, a B2B marketing strategist, argues that the real discipline is not prompt memorization but the cultivation of a genuine collaborative dialogue — one where human judgment shapes the algorithm's reasoning before a single word of content is produced. In an era when generative search engines are rewriting how audiences find answers, the marketers who will endure are not those who automate the most, but those who bring what no model can replicate: ethics, empathy, and the courage to lead transformation with long-term vision.
- An entire industry is wasting time chasing prompt libraries with expiration dates measured in weeks, mistaking tactical shortcuts for strategic understanding.
- The real danger is not a tool that underperforms — it is a professional culture that freezes every time a platform updates, because it never built a relationship with the technology in the first place.
- Rico's answer is a fundamental reframe: treat AI not as a passive servant but as a collaborative partner in a mutual interview, where human and algorithm build reasoning together before any output is generated.
- Enterprise platforms like Microsoft Copilot and Google Workspace Gemini must be separated from personal experimentation tools — one protects organizational integrity, the other is where the future gets discovered safely.
- By 2026, content must be architected not just for human readers but for generative search engines, demanding a new discipline of optimization that mutates as rapidly as the platforms themselves.
- The hard boundary is clear: volume of text can be automated for twenty euros a month, but soul, ethics, and irreplaceable human judgment cannot — and that is where resilience lives.
João Rico begins most mornings confronting a mistake he watches repeat across his industry. Marketing professionals treat AI like a vending machine — insert a prompt, expect perfection, blame the tool when nothing arrives. The real problem, he argues, is not the technology but the mindset. Prompt libraries and cheat sheets flood the market promising magic formulas, yet the models update constantly and yesterday's shortcut becomes tomorrow's dead end.
What Rico advocates instead is a shift from command-and-wait to genuine co-creation. He calls it a mutual interview: a dialogue where the human and the algorithm build reasoning together, where the marketer refines strategy before any content is produced. This transforms the professional from software operator into something closer to an algorithm mentor — someone who guides the system toward authentic solutions rather than demanding instant output.
Context, however, demands precision. In corporate environments, enterprise platforms like Microsoft Copilot and Google Workspace Gemini are the appropriate tools — systems that connect securely to company files, understand brand culture, and protect organizational integrity. Personal assistants like ChatGPT or consumer Gemini serve a different function entirely: they are laboratories for experimentation, places to test ideas and fail without consequence. Conflating the two is a security risk no serious leader should accept.
The horizon of 2026 adds another layer of urgency. Traditional SEO is being elevated by the rise of generative search — what Rico terms AEO and GEO — because modern consumers no longer want ten results to navigate. They want a direct, reliable answer from their digital assistant. At his personal project Mercado do Homem, Rico works constantly to ensure content is not just read by humans but recommended by these generative systems, in a discipline where strategies must mutate as fast as the platforms themselves.
Yet the deepest argument is also the simplest. A marketer whose value lies only in generating text volume will be replaced by a monthly subscription faster than expected. What endures is what binary logic cannot produce: soul, ethics, the human touch that differentiates a brand in an ocean of automated noise. The future belongs to those who understand that artificial intelligence is a mirror of human potential — and that the supreme differentiator has always been how we choose to lead this transformation.
João Rico sits down most mornings with a problem that has become impossible to ignore. As a B2B marketing manager and someone who builds strategy around artificial intelligence, he watches professionals across his industry make the same mistake over and over: they treat AI like a vending machine. You feed it a prompt. You wait. You expect perfection. When nothing emerges, they blame the machine. When the interface changes, they freeze.
This is not how the technology works, and it never has been. Rico has spent years watching the market flood with prompt libraries and cheat sheets that promise magic formulas—solutions with expiration dates measured in weeks, not months. The technology itself is not static. What works today becomes obsolete the moment the model updates. The real error is not in the tools themselves but in the mindset that treats them as passive servants rather than collaborators that demand something from us.
The shift Rico advocates for is fundamental. Instead of sending isolated commands into the void, marketers should engage in what he calls mutual interview—a genuine dialogue where the human and the algorithm build reasoning together. The machine asks clarifying questions about actual objectives. The professional refines strategy before any content is produced. This transforms the marketer from a software operator into something closer to an algorithm mentor, someone who guides the system through the maze of data toward authentic solutions. It requires understanding that you do not need memorized commands; you need a real system of co-creation.
But context matters enormously, and Rico is precise about this distinction. In the corporate world, security and data protection must come first. This means deploying enterprise platforms like Microsoft Copilot or Google Workspace Gemini—systems that connect safely to company files and communications, that understand project history and brand culture, that function as genuine productivity armor. Using personal AI assistants in secret to handle sensitive company data is a security risk that no leader should accept. It compromises organizational integrity. At the same time, those same personal tools—Gemini, ChatGPT—serve a different purpose. They are laboratories where marketers can fail, experiment, test new optimization concepts without corporate constraints. This is where the future gets discovered.
That future, in 2026, demands a new discipline. Traditional search engine optimization is not being replaced; it is being elevated by the need to be relevant to generative search engines—a practice Rico calls AEO and GEO, optimization for generative engines. The modern consumer no longer wants to navigate ten search results. They want a direct, reliable answer from their digital assistant. At Mercado do Homem, his personal project, Rico focuses on ensuring content is read and recommended by these systems. It is work of persistence and constant refinement, where strategies mutate as rapidly as the platforms themselves mature. Adaptation is the only constant.
Yet there is a hard boundary where code stops and human values begin. If a marketer's job reduces to generating volume of text, they will be replaced by a twenty-euro-per-month subscription faster than anyone expects. Resilience comes from offering something binary logic cannot: soul, ethics, the irreplaceable human touch that differentiates a brand in an ocean of automated noise. The best ideas emerge when you challenge artificial intelligence to act as a critical consultant, pointing out flaws in your reasoning and forcing you to elevate your strategic thinking. This native mindset requires learning every day and unlearning with equal speed. The only certainty is that technological evolution will not slow down.
Mercado do Homem serves as proof that it is possible to unite technical sophistication—plugin construction, automation—with content strategy that resonates with both humans and algorithms. The future belongs to those who understand that artificial intelligence is a mirror of human potential, that true power lies not in the software but in how we choose to lead this transformation with ethics and long-term vision. The human touch will always be the supreme differentiator.
Notable Quotes
If the work of a marketing professional reduces to generating volume of text, they will be replaced by a twenty-euro-per-month solution faster than anyone expects.— João Rico
The best ideas emerge when you challenge artificial intelligence to act as a critical consultant, pointing out flaws in your reasoning and forcing you to elevate your strategic thinking.— João Rico
The Hearth Conversation Another angle on the story
You keep saying marketers treat AI like a vending machine. What does that actually look like in practice?
Someone writes a prompt, gets a mediocre result, and immediately concludes the tool is broken. They never ask themselves what they actually wanted to say. They never refine the question. They just move on.
So the problem is not the AI—it is the person using it?
Partly. But it is also the mindset that says you can memorize a formula and apply it forever. Technology changes. Platforms update. If you have not learned how to think alongside the machine, you are lost the moment something shifts.
You mention this idea of mutual interview. Can you walk me through what that looks like?
The marketer and the AI have a conversation about what the actual business problem is. The AI asks questions that force clarity. Together, they build the strategy before any content is written. It is collaborative reasoning, not command-and-response.
And the distinction between enterprise platforms and personal assistants—why does that matter so much?
Enterprise platforms like Copilot know your company's files, your brand voice, your project history. They are secure. Personal tools are sandboxes where you can experiment and fail without risk. You need both, but for different reasons.
You write about generative search optimization—AEO and GEO. Is that just SEO with a new name?
No. SEO is still relevant. But now your content also needs to be the kind of answer a generative engine will pull and recommend to its users. The consumer wants a direct answer from their assistant, not a list of ten links. That changes what you write and how you structure it.
What happens to the marketer who cannot adapt fast enough?
They become replaceable by a twenty-euro subscription. But the marketer who brings ethics, empathy, and strategic thinking—who knows when to let the algorithm work and when to inject human judgment—that person becomes more valuable, not less.