Some trends can be picked ahead of their time, however the explosiveness of a random tweet, call-to-action or cat video is almost impossible to pin-point.
While trends will mostly fade back and be replaced with another, the occasional and rare trend can have legitimate and measurable impacts on society. A recent example of this is the anti-plastic straw movement that took off in 2018.
It started with a terribly sad and visceral video of a straw being removed from the nose of a sea turtle – it’s likely you’ve seen it yourself. The internet is filled with images and videos relating to the impacts of pollution and climate change on the wildlife, however this video happened to stick in the social media sphere long enough to cause a stir.
In the context of environmental upset and helplessness, the plastic straw became the epitome of our harmful single-use plastic culture. In the space of a couple of months, plastic straws were disappearing from venues and public discourse stigmatised their use. Massive chain restaurants such as McDonalds and Starbucks announced plans to ban the plastic straw, as well as some cities and countries introducing bans or taxes on similar single-use products.
While this is ultimately a positive movement with good intention, rejecting the use of plastic straws is an easy and short-term relief to an overwhelming frustration with single-use consumer culture. This year we’ve been seeing similar trends emerge with the rise of keep-cup popularity and debates over plastic bags in super markets.
These trends may be tokenistic, however, they are telling of widespread sentiment and signify the public’s desire to be heard and responded too.
Loren is an experienced marketing professional who translates data and insights using Isentia solutions into trends and research, bringing clients closer to the benefits of audience intelligence. Loren thrives on introducing the groundbreaking ways in which data and insights can help a brand or organisation, enabling them to exceed their strategic objectives and goals.
An organisation’s reputation is at its core, really how people feel about them. These feelings can be based on their interaction and knowledge of the brand, or their experience with the products and services the organisation provides. This reputation is important as it can often dictate the actions or choices audiences and buyers make, impacting an organisation financially and its ability to grow. If managed and measured, the value of an organisations reputation can safeguarded and used as a source of growth by strategically influencing key consumer’s consideration over the competition and the market more broadly.
People can interact directly with an organisation more than ever before, on social media, targeted advertisements, in-store experiences, customer support to name a few.
Social media is a great place to listen to the voice of consumers and key audiences who choose to voice their experiences online. It provides insight into what your organisation has done well or needs to do better. When used in conjunction with additional data, like survey analysis it can also reveal what channels and content are contributing to this perception, and how this can be shifted. Drawing from online resources and social media, Isentia has established 3 drivers to identify and quantify an organisation’s reputation.
The first driver is about the future direction of an organisation.
Does your organisation have a strong leader? Does your organisation seek to innovate? Does it shape the way society thinks? Is your organisation authentic in its messaging? Is your organisation likely to succeed?
When an organisation shows these qualities, it raises consumer trust and confidence, but it’s important that this is authentic. An example of this is Honestbee. Honestbee’s strategy covered several of these points - they were a fast expanding and innovative Singaporean startup in the online grocery delivery business. The founders focused on being perceived as successful, with plans for rapid expansion.
However, In October 2018, Habitat, the world’s first tech-integrated multi-sensory grocery and dining destination launched. Three months after the launch of Habitat, it was discovered Honestbee was deep in financial debt. This was a shock to the industry as Honestbee had a good strategy. Their downfall had been in their inauthentic messaging which resulted in the organisation losing trust of their consumers and investors.
Culture is determined by the organisation having strong values and integrity.
Is the organisation socially responsible? Are practices fair and transparent? Do they promote a balanced workplace? Is it an environment where people aspire to work? Do they have ethical relationships with their business partners?
The growing number of organisations ‘going green’ is as good example of how the market can reflect and appeal to the values of today, in this case by demonstrating they're more environmentally conscious. In a 2019 Nielsen study, it was shown 1 in 3 consumers prefer eco- friendly products. Both Fairprice and Redmart, grocery chains in Singapore, also expressed growth in demand for their environmentally friendly products.
An organisation’s workplace culture, including ethical behaviour can also negatively impact an organisation. For example, Google was challenged for the way cases of sexual harassment were handled within the workplace. They were also challenged for questionable deals in AI technology that resulted in a protest of 20,000 employees across their offices. Google’s poor behaviour was exposed which led to criticism from Amnesty International and a backlash on social media.
Delivery is how good an organisation is at delivering on it’s day to day business.
Do people perceive the organisations products are good quality? Are the products well received? Is the organisation well known in the industry? Do customers have a good experience? Are they successful?
A good example of how delivery can be analysed is in the sphere of reputation is the case of, Razer Inc. known as an organisation passionate about gaming. With a tagline ‘For Gamers. By Gamers’, they are well known in the gaming industry for supply gaming software, hardware and accessories.
According to their annual report, their revenue last year, hit an all-time high of 712 billion US dollars. While online reviews of their mostly praise the high quality of Razer products, a common complaint on sites such as trustpilot.com, Reddit and Forum Hardwarezone are about slow or unhelpful customer support. Some customers even expressed that due to the poor customer support for products, they were even considering switching brands. This signals an opportunity. While Razer Inc has performed well financially and seemingly has a message that appeals to their key consumer, by improving their touchpoint experience and capacity to deliver they could potentially eclipse the competition and swing those who were apathetic towards other brands.
This is just a small glimpse of how your organisation’s reputation can be analysed and measured by a combination of social media data and more traditional market research techniques. Executing a broad analysis of your organisation based on the 3 drivers of Strategy, Culture and Delivery, we can assist in gauging your organisation’s reputation and how it fares against competitors. With a clear metric for overall reputation and a breakdown of performance by driver, Isentia's Reputation Analysis helps your organisation identify areas for improvement and where there are opportunities to strengthen PR, marketing and engagement strategies.
Request a sample of Isentia's Reputation Analysis here.
An organisation’s reputation is at its core, really how people feel about them. These feelings can be based on their interaction and knowledge of the brand, or their experience with the products and services the organisation provides. This reputation is important as it can often dictate the actions or choices audiences and buyers make, impacting […]
AI has become a powerful stakeholder in its own right — from being just another ‘technological advancement’ to an active contributor to modern-day communications, that’s massively changed the media landscape today.
Isentia hosted an essential conversation with Lisa Main (Director, Main Bureau), Dr Nici Sweaney (Founder and Director, AI Her Way), Prashant Saxena (Isentia’s VP of Revenue and Insights, SEA), and Ngaire Crawford (Isentia’s Director of Insights, ANZ). Together, they explored how AI reshapes the world of communications and corporate affairs all the while figuring out how to manage and strategically engage with it.
In this session, we covered:
Following the webinar, our panellists took the time to answer the most insightful questions from our attendees that we couldn't get to during the live session. Here are their expert perspectives.
As the Founder and Director of AI Her Way, Dr Nici Sweaney advocates for a strategic approach to AI that prioritises human intent over technical capability. The questions directed to her focused on the ethical foundations of AI, how organisations should structure their internal AI strategy, and practical ways to start using agents today.
Ethical AI, to me, is about two things working together: avoiding harm and actively doing good. It’s not just “don’t break anything” — but genuinely asking, does this create value for the business, for the people using it, and for the broader world? Transparency, equity, and accountability are the pillars. Transparency means being honest with your audience and colleagues about when AI is involved. Equity means asking who this helps and who it leaves behind, as AI scales existing biases. Finally, accountability means humans stay in the loop. AI should inform decisions, not make them. When the "why" is clear — like saving a team time to focus on strategy — you are using AI with integrity.
My answer is probably not what IT wants to hear. AI is part of your infrastructure, so IT must be involved for security and guardrails. However, the strategy behind adoption is fundamentally a human problem, not a technical one. I advocate for a cross-functional "coalition" that brings IT, HR, communications, and strategy to the same table. If you create a dedicated AI leadership role, that person should sit closer to human-centric functions like HR and communications. The hardest part of adoption isn’t the technology; it’s the people, the culture, and the narrative you build around it internally.
First, acknowledge that the fear is real; it is a biological response to an unprecedented rate of change. Trust is built through honesty. Pretending AI won’t displace roles destroys trust, so be honest about how the landscape is shifting. What actually moves people is showing, not telling. Show them how AI can solve their specific "pain points" — the tedious, joyless tasks that don't add value. When people see AI as an "empowered choice" that uplifts their work rather than replacing their judgment and strategic thinking, buy-in follows. Build confidence with small wins first.
Most professionals don’t need complex autonomous agents yet; they need custom bots and automated workflows. The magic is in understanding your process first. Some practical starting points include:
Answer: Your instinct is right. If your team uses free consumer tools, your data may be used to train future models. You should move to enterprise-grade tools like Claude for Teams, Microsoft Copilot, or ChatGPT Enterprise, which offer contractual data protections. You should also build an AI Usage Policy that defines which data is public, internal, or restricted, and map AI rules to those classes. In Australia, we recommend aligning with the EU AI Act — the most comprehensive framework available — to future-proof your organisation.
Prashant Saxena, Isentia’s VP of Revenue and Insights for SEA, approaches AI through the lens of psychological bonding and media structural shifts. His insights address the changing role of media and the technical ways we must now communicate to satisfy AI as a new audience.
Media's value is shifting from being the "trusted narrator" for humans to being the "training signal" for AI. When AI models generate answers, they weight authoritative media sources much more heavily than random web content. Even as human trust erodes, media’s structural influence on AI-generated information is growing. For communicators, "earned media" now serves two audiences simultaneously: the humans who read it and the machines that learn from it. Publications with strong editorial standards become more valuable because AI systems use domain authority and editorial signals as quality proxies.
AI models don't "rank" sources like Google does. They weight information based on source authority, recency, consistency, and structured data quality. If five credible outlets report the same fact, that fact becomes a "high-confidence training signal." This means volume across credible sources matters more than a single "big hit." For your strategy, consistency of messaging across all placements is vital because AI looks for corroboration. Factual, entity-rich statements will be picked up more reliably than narrative-heavy feature writing.
This is the core of my PhD research. It is what I call "synthetic authenticity." AI systems deploy cues like warmth and memory that we evolved to interpret as human. These trigger "parasocial bonding" — the same mechanism that makes you trust a friend’s recommendation. The danger is that cognitive awareness (knowing it’s AI) doesn't override the emotional feeling. We need a new kind of literacy that teaches people to recognise when their "trust response" is being activated by design rather than by a genuine relationship.
Yes. This is a very practical move. AI models extract information more reliably from structured formats. A Q&A format gives the AI clear question-answer pairs that map to how people query systems. You should also focus on "AI-readable claims" — entity-rich, factual statements. Instead of saying "We are committed to sustainability," say "Our Singapore operations reduced carbon emissions by 34% between 2023 and 2025." The second version is a verifiable fact an AI can actually use and cite.
This is the new frontier. Traditional monitoring tracks what humans publish; AI sentiment monitoring tracks what AI systems say about your brand when asked. Since there is no single "AI sentiment" (ChatGPT, Grok, and Claude all give different answers based on their training), you need to monitor across platforms. We are developing capabilities to systematically query these platforms to see how their narratives change over time and identify which source materials are driving those answers.
Every model reflects the values, training data choices, and alignment decisions of its creators. ChatGPT (OpenAI) tends towards cautious, balanced responses with strong content guardrails. Conversely, Grok (xAI) was explicitly designed to be less filtered, sometimes surfacing perspectives that other models suppress. Claude (Anthropic) prioritises honesty and nuance. For communicators, this means your brand's narrative varies by platform; you must monitor across multiple models because the same question about your brand will receive materially different answers depending on which tool is used.
Major publishers like the New York Times and Reuters have blocked AI crawlers, creating a gap in training data. When authoritative journalism is unavailable, AI models may fill that gap with lower-quality content or brand-owned content. For communicators, this means your "owned content" — such as your website, blog, and structured data — carries proportionally more weight in AI-generated answers. Your media targeting strategy now needs to account for which outlets are AI-accessible, as they will be disproportionately influential in shaping your narrative.
Ngaire Crawford, Isentia’s Director of Insights for ANZ, emphasises the role of the analyst. Her approach is characterised by a "rhythm of interrogation," arguing that the most effective way to use AI is through constant questioning and a focus on high-authority inputs.
I was initially very sceptical, but it is now part of my every day. I use models like Claude and Gemini to workshop conference outlines, plan education programmes, update code, and structure strategic thinking. My best practice advice is to develop a "rhythm of interrogation." Don't just accept the first answer; ask for evidence and challenge the output. While AI saves time on technical tasks like coding, for strategic work it simply shifts the "mental load." You spend the same amount of time, but the depth and quality are significantly improved because you aren't starting from a blank page.
It's important to know that models are optimised to give the most useful answer, not necessarily the most accurate one. They are pattern-completing, not fact-checking. Because model responses are not fixed and change based on the conversation, I suggest focusing on the "controllable inputs" that feed them. This includes your own website, company material, Wikipedia data, and review sites (including employee reviews). Ensuring these bases are telling the intended story is the absolute best starting point for managing AI "sentiment."
There is no "PageRank" to reverse-engineer here. Models are shaped by what was prominent and widely cited in their training data. Practically, this means a shift from volume to authority. A hundred pieces of low-quality coverage do less work than ten pieces in genuinely credible outlets (major mastheads, industry publications, or your own well-structured site). The question for the modern communicator isn't "did we get coverage?", it's "does the coverage that exists, taken as a whole, tell a coherent and credible story?" AI reads the whole picture, not just the highlights reel.
Honestly? We don’t know yet. The commercial layer of AI is being figured out in real time. The moment someone wonders if they are getting the "best" answer or a "sponsored" one, trust erodes. However, we still click Google ads, so it will likely happen. What's important is that organisations that "earned" their reputation through authoritative presence before the ad market caught up will be in a much stronger position than those trying to buy a shortcut later.
The insights from our panellists make one thing clear: AI is no longer a tool of the future; it is a stakeholder of the present. To lead with credibility in this new era, communicators must pivot from chasing volume to building authority. Whether it is through adopting a rigorous ethical framework, optimising content for AI readability, or maintaining a "rhythm of interrogation" with the tools we use, the goal remains the same: ensuring our brand narratives are coherent, credible, and human-led.
The tools have finally caught up to the ambitions of our industry. Now, it is up to us to provide the architect's blueprint for how they are used.
Interested in viewing the whole recording? Watch our webinar here.
Alternatively, contact our team to learn more insights into meaningful measurement, KPIs and communicating using the right dataset.
In this blog, panelists from our recent webinar on “AI as a stakeholder” get to answering all your burning questions.
The media landscape is accelerating. In an era where influence is ephemeral and every angle demands instant comprehension, PR and communications professionals require more than generic technology—they need intelligence engineered for their specific challenges.
Isentia is proud to introduce Lumina, a groundbreaking suite of intelligent AI tools. Lumina has been trained from the ground up on the complex workflows and realities of modern communications and public affairs. It is explicitly designed to shift professionals from passive media monitoring back into the role of strategic leaders and pacesetters.
“The PR, Comms and Public Affairs sectors have been experimenting with AI, but most tools have not been built with their real challenges in mind.” said Joanna Arnold, CEO of Pulsar Group.
“Lumina is different; it is the first intelligence suite designed around how narratives actually form today, combining human credibility signals with machine-level analysis. It helps teams understand how stories evolve, filter out noise and respond with context and confidence to crises and opportunities.”
Lumina is centered on empowering, not replacing, the human element of communications strategy. This suite is purpose-built to help PR, Comms, and Public Affairs professionals significantly improve productivity, enhance message clarity, and facilitate early risk detection.
Lumina enables communicators to:
We are launching the Lumina suite by making our first module immediately available: Stories & Perspectives.
In the current fragmented, multi-channel media environment, communications professionals need to be able to instantly perceive not just how a story is growing, but also how it is being perceived across different stakeholder groups.
Stories & Perspectives organizes raw media mentions into clustered, cohesive Stories, and the Perspectives that exist within each, reflecting distinct media, audience, and public affairs angles. This unique functionality allows users to:
"Media isn’t a stream of mentions," said Kyle Lindsay, Head of Product at Pulsar Group. "But rather a living system of stories shaped by competing perspectives. When you can see those structures clearly, you gain the ability to understand issues as they form, anticipate how they’ll evolve, and act with precision. That’s what we mean when we talk about AI built for communicators, and that's what an off-the-shelf LLM can't give you."
The launch of Stories & Perspectives is the first release of many. Over the upcoming months, we will systematically roll out the full Lumina roadmap, introducing a comprehensive set of AI tools engineered to handle every phase of the communications lifecycle.
The full Lumina suite will soon incorporate:
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