WHILE the espresso machine is grinding and the city has yet to wake, my screen lights up with activity. Sentiment logs begin pulling in data from major news portals and from Twitter, TikTok, Facebook, and Instagram, all filtered through the keyword matrices I had set weeks, sometimes months, before. These digital signals stream in automatically, triggered by topics, names, and language combinations tied to my client’s identity and ecosystem.
What they return is not simply noise. They reveal emotion. They show me how the crowd feels – where sympathy lingers, where sarcasm simmers, where outrage begins to brew.
I am not just watching for volume or virality. I am looking for tone, pattern, drift. Sarcasm disguised as support. A sudden spike in engagement among fringe groups. A well-placed comment beginning to steer the public mood. This is not abstract work. It is strategic brand defense in the age of algorithmic perception. And it is what I do every morning, not as a digital routine, but as a diagnostic scan of public trust. I read the feeds as others read the weather, not because I seek storms, but because a brand’s survival often depends on predicting them.
There are days when nothing stands out. A quiet pattern. A benign pulse. But there are mornings when the alert pings red. An unexpected narrative has taken root. Sentiment graphs dip sharply. A coordinated comment surge appears unnatural. These are the moments I switch into full mode. The goal is not simply to respond, but to reduce the emotional temperature. To interrupt the drift. To wrestle back narrative leadership before others define it for us.
In the work I do as a strategic communications strategist, perception is not a soft concern. It is the pulse of power. I sit at the edge where institutions meet the public, where narratives form before press statements are drafted, and where trust can be gained or lost before lunchtime. My practice does not rely on slogans or slogans alone. It relies on early signals, thematic interpretation, and an unyielding attention to cultural nuance.
What I have come to understand, however, is that this practice is rarely mapped. Strategic branding, particularly in volatile digital environments like Malaysia, is still largely reactive and improvisational. Many professionals in this space are talented and perceptive, but few have a framework. Few have a theory. What they possess is intuition, built on experience and gut feel, often under pressure. And that is not sustainable for an industry tasked with managing public trust.
I have spent years as a communications strategist embedded in the tension between institutions and the public. Between silence and backlash. Between message and meaning.
Over the past two years, I have also embarked on a deeper intellectual journey to formalise this lived experience into a doctoral dissertation. Titled “Strategic Branding in the Age of Artificial Intelligence: A Corporate Framework for AI-Enhanced Image Management and Reputation Leadership”, the research reflects what I do daily, but also asks how we might build a more resilient framework for others to do it well.
The framework I propose works like an intelligent, multilingual control tower for brand perception. It starts by pulling in public sentiment data from various languages and platforms, capturing what people are saying in real time. This data flows into a set of algorithmic tools that track mood changes, predict how certain narratives might spread, and generate strategic content when needed.
What makes this system different is that it does not operate blindly. It is guided by a layer of governance that includes clear protocols, bias checks, and oversight mechanisms to ensure the AI behaves responsibly and transparently. The degree of government or regulatory pressure further shapes how strictly this layer is enforced.
As the system helps organisations understand and respond to public mood, it builds stakeholder trust. Over time, that trust generates reputational advantages such as faster sentiment recovery and greater resilience during crises. A continuous learning loop feeds insights from outcomes back into the system, making it smarter and more effective with each cycle.
This is not theory for its own sake. It is a proposed system of thought for a field that too often runs on improvisation. The hope is that it will invite replication, debate, and refinement. If successful, it can provide a language for an industry still finding its voice.
And make no mistake, the stakes are not abstract. I remember watching a major infrastructure institution in Malaysia struggle to control the meaning of its own story. A strategic appointment with an international investment partner, intended to position the organisation as future-facing and financially sophisticated, was instead cast by the public as a betrayal of sovereignty. The misfire began with a headline, accelerated through TikTok and Facebook, and calcified into public suspicion before the first official clarification was even drafted.
The damage was not just reputational. It was narrative. They lost control of the story because they failed to detect its mutation in time.
That failure was not due to incompetence. It was due to a lack of anticipation infrastructure. A lack of computational cultural awareness. The old rules of issuing statements and waiting for them to take root do not apply when meaning now moves faster than facts.
In many ways, this is the real terrain my research aims to chart. Not just what AI can do, but what brand leadership must become. It is no longer about loud messages, glossy campaigns, or safe neutrality. The organisations that succeed in digital public space are those who know what the public is about to feel – before they even express it. It is not manipulation. It is understanding.
Trust is no longer earned in boardrooms or press conferences. It is earned in seconds, through signals, on screens. In my own work, I have sat with leaders who believe that their good intentions will carry them through. But intention is not narrative. It is not inherently shareable. It must be constructed, articulated, and constantly re-anchored in public perception. That work can no longer rely on guesswork. It needs method.
Of course, I bring my own disposition into this effort. I have always been drawn to complexity and unspoken patterns. My mind leans toward decoding what lies beneath the visible, which is both a gift and an ongoing tension. Strategic communications, especially in the digital arena, offers just enough ambiguity and urgency to satisfy that inner engine. It is not about knowing more. It is about perceiving deeper.
And yet, I know this field is still under-formed. Too few enter it with structure. Too many rely on charisma and instinct alone. My aim is to help create a discipline that others can enter with clarity and confidence. A field where strategy is not just reactive storytelling, but structured perception governance. Where talent is paired with training. Where brilliance is matched with method.
This proposed framework is still taking shape, but the need for it has never been clearer. I see it every morning, in the raw signals of unrest. I see it in organisations caught off guard by narratives they never thought to model. I see it in the silence that follows when a brand realises it has no map, only a message.
I also know that the kind of thinking this work demands is not common. Many in the industry solve problems with instinct and invention, because that is all they have. But instinct alone is not a strategy. And as someone whose mind never rests – who finds peace only through pattern and purpose – this field offers not just professional purpose, but cognitive relief. Strategic communications, when done with discipline, become more than messaging. It becomes meaning-making.
Each day begins with the grind of the espresso machine. The screen lights up again. A new issue brews somewhere in the feed. The job is not to panic. The job is to perceive before reacting. To map before messaging. And to lead with context, not Control.
That, I believe, is the future of strategic branding. And that is the idea I hope to leave behind when this dissertation is done. – June 27, 2025
Raziz Rashid is a DBA scholar, strategic communications consultant, and former head of corporate communications at the Prime Minister’s Department of Malaysia. His research explores AI-enhanced branding, narrative intelligence, and reputation leadership in complex public environments.