Blog post
July 28, 2021

COVID-19 outbreak highlights communications gap with multicultural communities

The surge in COVID-19 cases in South-western Sydney has brought to the fore the difficulties that government and private organisations have in communicating with multicultural communities. Not for the first time, in this period of rapid daily, and sometimes hourly change, non-English speaking communities have been left behind in conversations about restrictions, government support and health information. One of the many things that COVID-19 has highlighted is the importance of co-operation and a community-wide effort, and that requires effective communication. Too often we have failed to meet the challenge of communicating with multicultural communities – which comes at a cost for all of us.

Being a first-generation migrant myself, with non-English speaking Australian grandparents and growing up in a bilingual household I have seen firsthand the challenges of communication with Australian communities which originally came from other countries. I have seen my grandparents struggle with feelings of misrepresentation, a lack of awareness of government programs, an inability to keep up with current affairs.

My grandparents are deeply Australian, not in a stereotypical sense, but in the sense that they love this country. They regularly tell me how grateful they are to have been taken in when they needed a new start, how proud they are of their citizenship and Australia’s sporting, economic and other achievements, and how happy they are of the opportunities Australia has bestowed upon their children and grandchildren.

And despite this they cannot fully let go of their past. Love for one’s adopted home does not override the human instinct towards nostalgia, the acknowledgement and love of one’s roots, and certainly not the cultural influences, traditions and unique viewpoints of one’s home and history.  My grandfather still loves Russian vodka (although he also developed a love of VB), my grandmother is still devout in her Russian orthodox faith, they still tell stories of the beauty of the Volga, and the superiority of produce straight from Moldovan farms. Yet both talk about Australian politics, think deeply about how they want to vote and cheered with equal vigour both the success of the Australian World Cup team in 2006 and the Russian UEFA European Championship team in 2008.

They naturally form a community with those who speak their language and share some part of their background and history. But this community is no less Australian because it is different than either someone from metropolitan Melbourne or remote rural Queensland. What makes us all Australian is not language or a set of stereotypical behaviours involving barbecues and TABs, or a love AFL or cricket, but a shared desire to see Australia succeed. The most recent census data in 2016 showed 21% of households spoke a language other than English at home. This is a huge market that is overlooked by English-only media monitoring and communications strategies. This market has very different needs and often viewpoints that are not met or reflected by English-language media coverage. 

A recent report by the Labor Party on multicultural engagement provided first-hand accounts of people from multicultural communities struggling to access government services, understand government programs and navigate the difficulties of setting up a business. The Royal Australian College of General Practitioners (RACGP) worried about the communication to multicultural communities regarding telehealth services set up during the COVID-19 pandemic, and that these communities would delay meeting their health needs. The ACCC highlighted the fact that multicultural communities were likely to lose over twice as much money on individual scams and that these scams were tailored and targeted towards them. 

The report also discussed the negative effects of English-language media communication about those communities, describing a story of a returning international student who had visited China during the Chinese New Year, just as COVID-19 was starting to spread. The Chinese-Australian community rallied together, encouraged the students to stay home and did their grocery shopping and other tasks for them to help them isolate, long before any official program was in place. There was a sense not only of a responsibility to the Australian community, but also that their community was under suspicion and being framed negatively in the media and they needed to work together to protect their image. 

This story reveals something that is prevalent if one reviews the difference between multicultural media and mainstream media discussion of the same topics. Mainstream media too often talks about these communities, rather than to or within these communities. English-speaking media for many non-English speaking communities feels like reading international news to get information about Australia. It doesn’t understand their communities and doesn’t communicate with them, rather it too often largely communicates about them.

In culturally and linguistically diverse media one can find articles on how people might navigate loving the country of their birth and their adopted home at the same time during a period of heightened tensions between the two nations. Articles like these written directly within these communities, speaking to these communities, provide great insight into the difficulties these communities face.

There is significant work to be done by Australian companies and government departments to improve their outreach to culturally and linguistically diverse communities and a great opportunity to improve the efficiency of services and connect with a large swathe of the Australian population. For organisations, talking to communities that have felt underrepresented, misrepresented and misunderstood for so long, and trying to understand them through greater engagement with their in-language media can not only help access a wider range of the population, but build trust and credibility in an under-utilised space.

Government organisations are starting to understand this, the ACCC launched targeted campaigns to warn communities of specific scams targeting them. ASIC, in its 2019-2020 strategy for small businesses made specific mention of outreach to multicultural communities to help inform people of their role in assisting, engaging and helping to protect small business, while also helping them access the resources they need to improve their financial acumen. Meanwhile, the Victorian state government spent 7.8% of its media and campaign budget on multicultural media in 2019-2020, up from 3.5% ten years earlier.

There is momentum in this direction, and culturally and linguistically diverse focused communications strategies, media monitoring and analysis is hopefully one way that organisations can make that push to reach all sections of the Australian community.

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The advent of LLMs and AI search means that there has been a colossal shift in how audiences are consuming information today,  and a reciprocal shift in how all types of organisations, from government agencies to brands are responding . But while discussion amongst PR and comms pros tends to fall disproportionately on how brands are impacted, the needs of the former are just as keenly felt, and often quite distinctive.

So how can government agencies respond, especially in a time of global flux, when major policy changes need to be communicated and important stakeholders need to be managed? After all, government organisations do care about reputation, much as brands do, but have quite distinctive goals when it comes to ensuring accurate information reaches the right audiences.

There is a new entry point for stakeholders


The era of "Let me Google that" is rapidly fading. Instead of clicking through to official websites, people are asking chatbots for direct answers.  What’s striking is that government agencies often have no visibility on how they’re being talked about in the LLM space, even as it becomes a central channel for messaging and reputation. 

When AI models become the primary gatekeeper, audiences bypass official portals entirely — driving down site traffic and leaving agencies vulnerable to misinformation, negative sentiment, or worse, being left out of the conversation altogether. 

Therefore, the entry point is different. For commercial brands, this shift is profound but in some ways mediated – an FMCG brand, for instance, often discovered through third-party platforms in any case. But for government entities, the stakes are entirely different. As the sole, authoritative source for public information, they need citizens on their websites to get accurate details. Government agencies, especially if they are the authority or regulator in a particular industry or sector, need to make sure audiences know where to go to get the right information.

Different types of government agencies have different considerations

Not all government agencies are alike, and they all have different parameters that are quite non-negotiable for them, just by the way they function. 

  1. Service delivery agencies - these rely heavily on content freshness. They can’t risk outdated sources impacting eligibility or process changes not reaching audiences.
  2. Regulators - these need to transmit authority and trust. Regulators have to make it a priority that they’re amongst the first place audiences go to for information and that the industry they’re regulating does not put them in the shade on the channels stakeholders are actually using
  3. Policy departments - did the AI's account of a policy match what was actually announced? They want to be able to make sure the accuracy of a policy (and ideally, its effectiveness) is translated when audiences search through LLMs.
  4. Local and state authorities want to make sure the services they carry out on behalf of locals are visible too. Much like service providers, there is a question around access and awareness of programmes and regulations, but also an added consideration: not appearing on LLMs discontent amongst those wishing to see a return on taxation and electoral mandates, and give credence to bad actors.

What do government agencies want to get out of this new LLM-mediated landscape? 

Reputation is important, but that exists downstream from maintaining a flow of accurate information. It’s useful for communications teams in government organisations to self reflect and ask themselves the following questions:

  • Where are citizens going to find information about your services if not your website — and do you know what they're being told?
  • If there was a significant policy change or incident in the last twelve months, do you know how it's currently being characterised when someone asks an Al tool about your agency?
  • When you communicate a major service change or policy update, do you have any way of measuring whether it’s surfacing in searches about you?
  • How do you currently understand the gap between what your agency publishes and what citizens actually receive when they search for information?
  • Are there community groups, advocacy organisations, or media outlets shaping perception of your agency - and do you know if that's feeding into what Al models say?

These are gaps they already realise, but they don’t actually know what to do about it – how to manage or measure them. They need a tool that allows them to know this critical piece of information and make informed decisions. 

Lumina AI View: AI visibility for PR & Comms


Lumina AI view is built for communicators who want to understand how their organisation and their competitors are being talked about by various AI models – including ChatGPT, Gemini, and Claude. AI View users get an insight into which sources are being cited, and how they would need to respond as a way of protecting their reputation or making sure correct information about them is being disseminated. 

The tool provides an AI view score — a composite metric ranging from zero to 100, designed to help track brand performance over time and facilitate comparisons against competitors. It is calculated using five weighted factors — sentiment, visibility, authority, dominance and freshness. Beyond the overall score, the platform provides a summary of a brand's AI narrative based on four distinct reputation pillars — direction, performance, integrity and innovation. 

These pillars help users identify exactly which dimension of a brand's reputation is under pressure, offering specific, actionable insights for board presentations or reviews. Ultimately, while the AI view platform provides the necessary intelligence, the strategic decisions regarding how to respond to these insights remain with the organisation.

Spotlight: An Australian Council


This progressive local government council is located in Australia’s leading center for culture and sports.

The council earned an AI view score of 74 reflected by strong reach and authority. Publications like CBD News and its own website are the most cited by LLMs — interestingly, most of them being cited by Claude.

Content freshness scored lower at 48. Their website still carries error pages and annual reports from a few years ago. If a report — one that is seen as an organisation’s most comprehensive and authoritative content, is still being cited even if it’s older, might potentially be in the way of the organisation’s own perception. Which means more work is needed to prevent outdated content from still appearing.

What type of content is showing up?

Most citations for the council originate from government sources, followed by news outlets, reports, and blogs. The domain is evenly split between owned content and content earned from external sources media articles and independent authorities. 

While most are recent, some older articles from major outlets such as The BBC remain visible and may significantly influence how LLMs perceive the council. Owned content typically addresses last year’s budget plans and the council’s latest vision for the city, which LLMs are referencing. Government sources are the major content type, however, external sources have a greater impact on the council’s overall LLM score.

The stakes are higher for government agencies

When brands track LLM visibility, they often ask, "Are we shown in a positive light?" or "Are we cited accurately?" For the government, additional questions arise: "Is this information accurate enough for someone to act on?" and "Are we still viewed as more authoritative than what we oversee?" Mistakes can have serious consequences, such as individuals applying for ineligible programs or missing critical deadlines for new initiatives or elections. This can quickly lead to public frustration. It is essential for government communicators to recognize these risks.


If you would like to know more about our Lumina suite, please reach out here and our team will get in touch with for you a quick demo.

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Blog
Why is tracking government visibility on LLMs different from tracking brands?

Government agencies often can’t see how AI chatbots describe them. Here’s why LLM visibility matters and how to track it.

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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.

Ready to get started?

Get in touch or request a demo.