How Australian broadcast media has shaped the cost of living crisis narrative
The story around supermarket prices has been evolving for a number of months, finally reaching an inflection point as the Woolworth’s CEO appeared in a challenging interview with Four Corners and then announced his upcoming retirement only two days later.This chain of events underscores the critical importance of understanding the connections made by broadcast media, as they can significantly influence public perceptions and shape the narrative surrounding key industry players.
It was only the latest in a series of media items to seize Australia’s attention, and cast the nation’s supermarkets into something of a PR and Comms crisis.
And yet, viewing events through this framing also only gives a partial picture. As the discussion surrounding the impact of supermarkets on the rising cost of living intensifies, we’ve observed a notable surge in the usage of terms such as ‘shrinkflation’ and ‘skimpflation’. Reaching back even further, we can see how the topics attained a gradually greater place on Australian news and social channels. Shrinkflation and skimpflation are tactics employed by supermarkets during economic challenges. Shrinkflation involves reducing product sizes while maintaining prices, subtly passing on costs to consumers. Skimpflation maintains product sizes but compromises on quality to preserve profit margins. These strategies often frustrate supermarket shoppers, especially during economic strains like inflation.
Clearly, the topic has become ubiquitous. But if we want to understand how information and perceptions have been communicated to mainstream Australian audiences, then it becomes vitally important to pay particular attention to broadcast media.
Broadcast media (which includes television, radio and podcasts) plays a pivotal role in shaping public discourse and influencing perceptions, particularly on pressing issues such as the cost of living crisis.
Using Isentia to monitor these data sources, we gain valuable insights into their contribution to consumer attitudes. From identifying which organisations are most associated with the issue to pinpointing key public figures and preferred channels within radio and TV, broadcast media monitoring allows us to understand the complex dynamics that shape public opinion.
It’s the oldest of these media types which accounts for the most mentions of the supermarket crisis. Beyond reporting updates on the senate inquiry and government actions, radio excels in facilitating in-depth conversations between hosts and listeners, which surfaces more individual consumer stories than television or podcasts can match.
ABC’s predominant coverage of the topic corresponds with the network’s content strategy. Major programs such as the Supermarket Four Corners special and podcasts like The Briefing attract substantial listenership and garner attention from other channels. Channel 7, in addition to delivering key news updates, focuses on the shopper experience within supermarkets, shedding light on everyday challenges faced by audiences, such as navigating shrinkflation and skimpflation tactics.
Understanding the majority share of broadcast channels within this topic is important as it reflects who has the loudest voice, and is most persistently advancing a certain narrative or way of framing the situation.
Coles and Woolworths dominate the conversation, reflecting their prominent presence in the retail landscape. Their widespread accessibility and familiarity to consumers make them prime subjects for discussion in the context of rising costs and economic pressures.
Conversely, Aldi and IGA, while still significant players in the grocery market, may receive comparatively less focus in these discussions. Aldi’s reputation for offering lower-priced alternatives and IGA’s decentralised business model, with independently owned stores, may also contribute to their reduced presence in conversations about supermarket practices during times of economic strain.
Each channel and network approaches discussions about supermarket groups differently. While Coles and Woolworths understandably dominate each station’s broadcasts, the precise balance (and the time afforded to Adi and IGA) is revealing.
For instance, 4BC has encouraged audiences to diversify their shopping habits, with one 4BC broadcaster highlighting that “Aldi and IGA are actually doing more than the other two to really help enormously with the cost of living.”
In the discourse on supermarket practices during the cost of living crisis, a number key figures emerge across broadcast channels. Anthony Albanese, the Australian Prime Minister, is predictably prominent on just about every channel, particularly broadcaster 2SM.
All of them, that is, apart from the Australian Broadcasting Corporation (ABC), which spotlights Allan Fels, an economist and former ACCC chair who has analysed price gouging by major corporations. Other notable politicians mentioned include Treasurer Jim Chalmers, Craig Emerson, Steven Miles, and David Littleproud.
Media’s focus on these figures is crucial for shaping public discourse and policy responses amid economic pressures. While supermarkets are often discussed as a key antagonist in the cost of living crisis, they are increasingly being viewed in the context of potential solutions, particularly regarding government policy to regulate supermarket giants.
At the same time, focus does not only fall on the prominent individuals driving business decisions and policymaking. Country Hour (NSW), for instance, focused a story on cherry grower Michael Cuneo, who ceased selling to supermarkets after he made a financial loss on a shipment of fruit. And it was this story that achieved the greatest media reach of any radio content on the topic.
Clearly then, the topic has not played out in any one way across any one channel. The prominence of key figures and top broadcast channels in this conversation underscores the importance of understanding how media coverage impacts public discourse and regulatory decisions. Isentia’s broadcast capabilities offer unparalleled insight into the role of broadcast media in shaping the narrative surrounding supermarket practices. By harnessing Isentia’s monitoring and analysis tools, organisations can gain deep insights into how influential discourse and coverage can impact an industry.
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.
While this may make us laugh and may seem like a silly example, it illustrates an important point. People tend to trust what news networks are saying – and this trust doesn’t end with print news. It bleeds into every facet of news, especially televised news.
Here are the five reasons why...
1. Tradition
One of the top reasons people trust TV news networks, especially over newer sources of reporting, is tradition. TV news reporting has been around much longer than internet search and social media, making it more established. When it comes down to it, people are more likely to trust TV news networks because of their confidence in the institution.
2. Loyalty
Another reason for trusting TV news boils down to loyalty. When people have been watching their favourite anchors day-in and day-out for years, they develop a bond of familiarity. With familiarity comes loyalty, and loyalty breeds trust.
3. Communal reinforcement
It’s easy to have confidence in a TV network when the reporting supports your own belief system. In order to maintain trust, news networks tailor their stories to fall in line with the belief systems of their most loyal viewers.
4. Right from wrong
It’s a common theory that news anchors are obliged to shine light into dark places. The only way to accomplish this is by being an advocate of truth.
5. Controversial coverage
News networks also elicit trust from their audience by being the primary source of information about big and controversial stories that the public wouldn’t have much access to otherwise. When a small group of TV news anchors are the only people adequately telling a story, the viewers don’t have many other options for gathering information. As a result, most viewers will trust the story being told.
Whether or not you trust TV news networks over other sources of information, one thing is for certain – TV news networks have a powerful and influential effect on our society.
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Blog
TV News Network
Whether we like it or not, news networks play a huge role in how we form opinions. In fact, the news can be so powerful, it can even shape other news networks’ perceptions of truth.
There is a new frontier where public perception is shaped: Large Language Models. Right now, LLMs are answering critical questions about your organisation. What are they saying? And more importantly, which sources are shaping those answers?
To navigate this landscape, public relations professionals don't need generic tools, but rather technology that speaks their language, and addresses the realities of a changed media and informational landscape.
That is why we're unveiling Lumina AI View, the latest addition to our intelligent suite of AI tools from Isentia. Trained specifically on the workflows and challenges of modern PR & communications, Lumina AI View helps you understand exactly what AI knows about you, and how it learned it.
A new standard for AI visibility
AI View tracks your citation strength and source quality alongside those of your competitors, giving you a clear view of where you hold authority and where you have gaps.
Lumina AI View maps your AI reputation from the ground up, allowing you to:
See which sources matter: When tools such as ChatGPT or Gemini discuss your organisation, which outlets do they cite? Track your source footprint over time and view the impact of key target media on how you’re discussed. We measure your citation strength and source quality alongside those of competitors, giving you a clear view of where you have authority and where you have gaps.
Gain industry-specific insight: Your competitors get cited from Financial Times and Bloomberg. You get cited on Reddit. Each brings opportunity – and risk. Discover how you measure up against industry standards, and target the sources that actually influence how AI represents you.
Catch narrative shifts early: AI responses change when new sources appear, sentiment shifts, or old controversies resurface. Get alerts when citation patterns change suddenly, before they impact the way you’re perceived by stakeholders.
Measure your progress: From media monitoring to full media intelligence
Lumina AI View is built on the principle that insights get stronger with repeated measurement. To help you maintain a clear view of your reputation, our proprietary scoring system provides regular updates that show you:
Evolving trends in how sources cite your organisation
Competitive standing and benchmark metrics
Where models differ in information presented, and sources cited
Whether you run it weekly, on-demand, or whenever you need a check-in, patterns will emerge, trends will become clear, and you will build a baseline that makes any sudden narrative changes both comprehensible and the prerequisite to action.
Lumina AI View is part of Lumina AI, a comprehensive suite of AI tools built specifically for communicators. Our Lumina suite evolves traditional media monitoring into narrative intelligence, enabling you to truly understand how perceptions form, evolve, and impact your reputation.
Get in touch to register your interest and see what Lumina AI View can do for you.
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Blog
Introducing Lumina AI View: AI Visibility Built for PR & Comms
Lumina AI View, the latest in Isentia’s AI suite, is trained on PR & comms workflows to help you understand what AI knows about you — and how it learned it.
Why PR and comms teams need to take LLM visibility seriously — and what to do about it
The next time a journalist, investor or potential customer wants to know about your organisation, it’s now increasingly likely they won’t Google you. They'll ask an AI.
They'll type a question into ChatGPT, Claude or Gemini, something like "Who are the leading renewable energy companies in Australia?" or "What's the best PR agency for healthcare in Singapore?" and the AI will give them an answer. The question is whether your own organisation shows up in that answer.
The implications are significant for communications professionals, whether they’re in the agency-side working with clients or in-house managing a brand. The rules of reputation and discovery are being rewritten, and there’s a new kind of playbook that we all need to adapt to. That’s what’s going to take us forward.
The shift no one saw coming, but perhaps should have
For decades, earned media has been the backbone of credibility. A strong piece in a respected outlet signalled trust, authority and relevance. This hasn't particularly changed, but the way that coverage gets used has.
Large language models (LLMs) are trained on vast amounts of publicly available content - news articles, company websites, industry reports, social media, expert commentary. When someone asks an AI a question, it synthesises all of that material into a single answer. If an organisation has a strong, consistent, well-sourced presence across those channels, it is more likely to show up. If it doesn't, it becomes invisible and is absent from the conversation entirely.
Gartner's latest predictions for Chief Communications Officers underline how serious this shift is. They forecast that as LLMs increasingly replace traditional search, PR and earned media budgets will double by 2027. What they say is that this is a communications challenge, one that requires PR expertise to build trust, secure quality coverage, and maintain consistent messaging across stakeholders.
Their research also predicts that by 2029, 45% of CCOs will be using narrative intelligence technologies to monitor reputation amid rising disinformation, a recognition that the old keyword-based approach to media monitoring simply can't keep up with the way stories now form, spread and multiply.
The AI-generated content loop and why it matters
One of the less obvious risks in this new landscape is what happens when AI starts feeding on itself.
Catherine Arrow, Executive Director of the PR Knowledge Hub, raised this point during Isentia's recent Inside the AI Shift webinar. As she explained, "AI can identify and interpret some publicly available commentary. The difficulty is that we have to be careful about what it is actually reading. You can already see this in AI overviews where the system may refer to online discussion without digging deeply enough into whether the original sources are genuine, reliable or themselves AI-generated. So we end up with AI nested inside AI, nested inside AI."
That creates a real problem for anyone in communications. If the content landscape is increasingly populated by AI-generated material which is optimised to be found by algorithms rather than to inform real people, then the signals that LLMs rely on to build their answers become less trustworthy. Human judgement, original thinking and genuine expertise become harder for these systems to find, precisely because they're being drowned out by content that was designed to game them.
Catherine puts it simply, "People can become immune to this kind of content because it does not sound like the way we speak to each other, nor does it reflect the way genuine relationships are built. Then, when conflict or outrage is layered on top, the environment becomes even harder to interpret."
For PR and comms teams, it's not enough to produce more content. The right content needs to be produced, one that is original, expert-led, and well-placed in the channels and formats that LLMs are most likely to surface.
What this means in practice
So what does it actually look like to build LLM visibility into your communications strategy? It starts with the fundamentals, but applied with new intent:
Expert commentary placed in credible publications.
Thought leadership that's genuinely distinctive, not a rehash of what everyone else is saying.
Consistent messaging across channels.
Media coverage that's authoritative enough for an AI system to treat it as a reliable source.
This is where the gap between media monitoring and media intelligence becomes critical. Monitoring tells you what's been said. Intelligence tells you how stories are forming, which perspectives are shaping them, and where your organisation sits within those narratives — including how AI systems are representing you.
Dr Nici Sweaney, Founder and Director of AI Her Way, made this distinction sharply during Isentia's AI as a New Stakeholder webinar. "What will set people apart, and what AI cannot replicate is the human lens. The judgment, the relationships, the institutional knowledge, the strategic read of a room. The organisations that lean into supporting their people to harness these tools, rather than just deploying the tools, will be the ones best placed.”
That's an important framing. The answer to AI disruption is to get clear on what only humans can do and then make sure the tools we’re using actually support that.
Staying credible when the noise is deafening
There's a temptation, when faced with a challenge like this, to throw more content at the problem – more posts, more articles, more releases. But Catherine Arrow points out the risks of that approach.
"Maintaining credibility and authenticity means being yourself and not allowing AI to suffocate your identity. That will become harder to do as digital twins, synthetic voices and other tools make it easier for organisations to use it as a mask. The real challenge is not so much maintaining credibility. It is about maintaining humanity, empathy, kindness and a genuine wish to connect with others beyond the AI-intermediated space.”
That advice matters just as much for organisations as it does for individuals. Brands that let AI do their thinking, generating bland, interchangeable content at scale, will find themselves blending into the noise rather than cutting through it. The brands that show up in LLM answers will be the ones with a clear, consistent, well-evidenced point of view.
Dr Nici Sweaney reinforced this from the operational side. "Ethical use is not about not using AI. It’s about using it with intention, honesty, and a clear sense of what good looks like on the other side.” She was also direct about the risks of rushing in, "Don’t add new shiny AI projects on top of already overloaded teams. That creates resentment, not buy-in. Start by solving the problems people already have."
The cultural dimension
There's another layer to this that often gets overlooked and that’s the cultural one.
Catherine Arrow raised important concerns about how different AI systems can distort or flatten cultural context. Many of the most widely used models are shaped by US language, commercial assumptions and social norms. Chinese models operate within a different political and cultural framework. For organisations working across the Asia-Pacific region, it directly affects how the brand, messaging and the market are understood and represented by AI.
"Different AI systems may distort cultural context by privileging dominant languages, simplifying complex meanings, mistranslating concepts, omitting local histories or reproducing the worldview of their developers and training environments. They may flatten culture by making everything sound the same.”
For communicators operating across diverse markets, this means paying close attention to where content sits, who produced it, and whether the AI systems the audiences are using can actually interpret it with the nuance it deserves.
Where Isentia's platform fits with its new toolkit for AI visibility
This is precisely the challenge that Isentia's Lumina suite was built to address. Lumina is an intelligent suite of AI tools trained on the language, workflows and realities of modern public relations and communications, designed to empower, not replace, the human element of communications strategy.
Isentia's Lumina AI View feature will allow organisations to track how their brand, competitors and key topics are described by leading LLMs, with auditable claims, citations and transparency with regards to the sources. It's the difference between wondering whether AI is getting your story right and actually being able to see for yourself. These aren't generic AI features bolted onto a monitoring tool. They're intelligence systems built for the way communicators actually work.
The bottom line
The communications landscape has shifted. AI isn't just a tool the team might use, it's a stakeholder in its own right, actively shaping how an organisation is discovered, understood and evaluated.
For PR and comms professionals, the priorities are to ensure experts, commentary and evidence are placed widely enough for LLMs to find them and include them in their answers. Intelligence is imperative and required to how narratives are forming across both traditional media and AI platforms. All of this needs to be done without losing the human credibility that makes communications worth paying attention to in the first place.
As Dr Nici Sweaney put it, "The people who get the most from AI aren’t the ones who use the most tools, they’re the ones who understand their work deeply enough to know exactly where AI can add the most leverage."
That's the opportunity. The question is whether we’re set up to take it.
To explore how Isentia's Lumina suite can help your team navigate AI visibility, get in touch or discover Lumina.
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Blog
If AI can’t find you, neither can your stakeholders
We explore why LLM visibility should be a priority for PR and comms teams — and why harnessing AI, not just deploying it, is what matters.
