Blog post
May 14, 2020

The 3 pillars of effective communication during COVID-19

In a time where there is an enormous amount of information, we focus on the role traditional and social media have on public opinion through media and reputation analysis across all forms of media. And how it looks through a media lens.  

In this blog, we discuss COVID-19 communication across various case studies and talk in depth about the 3 pillars of good communication during COVID-19.

  1. Clarity
  2. Compassion
  3. Creativity

 

You can also watch Isentia’a Ngaire Crawford discuss communicating through COVID-19 here

Clarity:

The clarity of information is incredibly important from the outset.

  • Be clear about what you know, what you’re doing and what you expect. 
  • Be clear about what you don’t know, and when you’ll have those answers.

For example, the New Zealand government and its COVID-19 response team have provided clear and consistent communication.

It’s easy to focus on the New Zealand Prime Minister and the effectiveness of her communication style. There are many things that get attributed to the Prime Minister because she is a woman: her empathy; how she manages conflict; how she defends her position, and; how she answers questions.

Beyond personal style, there was consistency to the NZ government’s communication that became part of everyday routines during level 4 lock down. The branding of communications was quick, and stayed consistent across all platforms for government information.The yellow striped logo and clear message to stay home, save lives, and the use of an alert level structure helped create a simple and effective message.

NZ Government communications messaging
The NZ government Covid-19 communications messaging

No communications response is perfect, and many elements of the NZ response haven’t kept up with the consistency in the detail, but the foundational message structure, visual brand and consistent delivery made it a framework that could withstand some of those inconsistencies. 

In Australia, there was a slower start to a consistent communications approach. Although an initial concern, the Australian government stepped up and are now delivering clear messages needed to cut through in a crisis. The Prime Minister has provided an important sense of consistency by holding regular press conferences to update the nation directly. Not only have announcements for economic stimulus packages and public health precautions been clear, detailed and decisive, they’ve been broadly welcomed.

Compassion:

Effective communication during COVID-19 requires compassion and it comes from understanding your audience. Empathy and compassion are central to effective communication through COVID-19 across all sectors. 

For a leader during a crisis, it’s crucial to be authentic, decisive and present. It’s important  to develop trust long before a crisis hits, so audiences will accept you as an authoritative source. 

COVID-19 has seen a shift to more empathetic leadership. Scott Morrison’s response has positioned him as more empathetic.He has shown the willingness to put his own customary views on hold including pledging to return the government’s budget to surplus. 

The government has placed medical experts at the centre of the response. A national cabinet has been formed – chaired by Morrison but including state premiers from both sides of politics. There’s no red or blue teams, it’s team Australia. Listening to experts is working. And working together, across political parties, is working.

How do people feel throughout COVID-19?

Across social media, discussions of mental health have increased more than 400% and references to anxiety have more than doubled. COVID-19 is also driving references to being unsafe, scared and isolated. 

Throughout the crisis, we’ve seen strong reactions to organisations trying to take advantage of the situation, and to point out organisations or people that weren’t playing by the rules. Level 4 lock downs in New Zealand were incredibly strict on retail. 

Compassion and social media do not always go hand in hand. Traditional media coverage often chastises social media for botting, conspiracy theories and misinformation, but social users have shown a hyper-awareness of mental health and safety.

The below images show social media users using a code to signal if someone needs help during lock down. While this might also be a performative gesture, it does set an expectation that abuse and toxic behaviours won’t be accepted.

Communications on social media

An example indicative of different political and media environments, the Malaysian government, in particular, the Ministry for women, asks women not to nag their husband, and to consider using the tone of Doraemon, a cartoon cat from Japan (see image above).

There was also some communication suggesting that women are to dress nicely and wear makeup while isolated at home. Social media went crazy over this communication. It was quickly turned into a meme, caused a lot of backlash and created international attention that probably wasn’t intended.

Creativity:

Creativity and innovation has been a theme during COVID-19.

Communication is at the core of innovation. A lot of organisations are delivering information in ways they weren’t expecting, or connecting with customers in a new way. Knowing your audience and your communication style is important when being creative. 

Although, with creativity comes over-saturation of information. Make sure your internal communications are on point, and your stakeholders/clients/customers know what’s going on, then start to look for those outward facing opportunities – it’s okay if there’s nothing to say right now. 

The core trends that have resonated on social media are: social distancing;  ways to stay connected; ways to keep kids entertained, and;  mental and physical well being. 

An interesting public health message example is Dettol’s hand washing challenge on TikTok, where people create dance moves around washing your hands. It’s communicating a known public health message in a creative way, to an audience that really wants to play by the rules and as a result, has over 50 billion views. 

TikTok handwash challenge
Dettol #HandWashChallenge on TikTok

What does all this mean for communicators?

A crisis is a crisis for a reason, very few people default to best practice behaviours in a crisis – but planning, and planning based on what has previously worked can help mitigate some of this pressure. 

The role of the media during COVID-19 hasn’t fundamentally changed as a trusted source. What has changed is that information is a far more crowded space, including content from traditional media sources, social media, influencers and the increased  access to content internationally. 

This means it’s important for your communication to be clear and consistent. Create a rhythm and content structure that makes your information easy to share and amplify. Check your crisis plans and consider how tied they are to a set of simple, core messages, or check what the process is to adapt and create messages in the first stage of a crisis.

It can be incredibly beneficial to get the foundations right, to gain trust, and create acceptance that all the information that may not be known yet. 

For more information on how your organisation can be better prepared for a crisis, get in touch with us today.

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Audiences are no longer finding information through traditional search engines that favour established news outlets. AI models now highlight highly relevant and contextual information to audiences to often include niche and regional publications alongside major news media. This change challenges the old media hierarchy around tiered publications and pushes organisations to reconsider how and where they need to show up to stay visible in an AI-first world. 

Yes, organisations must focus on optimising their own content for LLMs, but will that always drastically increase the chances of AI models picking up your page? Probably not always. Smart strategy means targeting the specific publications your actual target audience reads — because those are the sources AI models retrieve when answering niche questions. 

It’s closer to digital PR than SEO

Generative Engine Optimization (GEO) is changing how brands approach online visibility. For years, traditional SEO meant focusing on your own site—optimising keywords, building backlinks, and improving on-page content. But AI models work differently. Instead of just using your website, these AI engines rely on trusted third-party sources to answer questions. This shift is taking place  gradually, of course. LLMs increasingly source from earned media (where it is accessible) and even offsite links from trusted sites. Owned media is still where the organisation has maximum control of how it’s own content travels, but a pivotal strategy shift is needed to match what AI models are picking up and citing.

To succeed with AI search, comms professionals need to think more like a digital PR strategist than a SEO expert. The best way to stand out is by earning mentions, quotes, and citations in the external publications your audience—and the AI systems they use—trust most. This does not make a distinction between Tier 1 or Tier 2 media. If AI models are crawling sites that mention an organisation, but the organisation does not acknowledge or even know those sites are being prioritised by LLMs, they risk falling behind in being the right kind of visible. 

To make this strategy work, looking beyond common metrics like traffic to the site or domain authority is not enough. Even a respected industry site will probably not influence AI answers as much if its content is behind a paywall or blocked from search engines. For AI visibility, accessibility to the site or page, structured data that can be crawled, and strong audience alignment are important. Since AI systems use both slow training cycles and fast real-time web searches (RAG), being featured on accessible, relevant niche sites helps an organisation show up accurately when models learn and when they search the web in real time. 

Why is Tier 2 media punching at Tier 1 weight?

According to Isentia's report How AI is destabilising trust and reputation amongst audiences, LLMs cite industry and trade publications about twice as often as traditional news sources. Company content and industry press make up over 60% of the share of voice LLMs use, while traditional news is twice as likely to generate negative sentiment. Thus, tier 1 outlets no longer automatically dominate AI-generated responses and may sometimes have the opposite effect.

Two main factors are driving this shift in which media is picked up by LLMs:

  • The paywalled problem was further expanded on by Dr Momoko Fujita during the Digital News Report: Australia webinar that news organisations must figure out how to make paywalled content easily readable by LLMs. By bridging this gap, these organisations can ensure that AI tools deliver accurate, high-quality reporting rather than missing out on premium content. If not, high-quality coverage may never reach the model. Isentia’s Prashant Saxena, VP of Revenue and Insights, SEA, during a recent partner event with IABC APAC on Why AI Visibility is the next reputation frontier illustrated a paywalled Bloomberg story, for example, that was accurately summarised details it could read at the top level, but fabricated details about raised guidance, even though guidance had been cut. This is because it could not read the rest of the article and tried its best to assume what it can with the information that’s accessible.
  • Specificity outweighs prestige. Tier 2, trade, and specialist publications are often more accessible, focused, and likely to provide the concrete, citable facts models need. Amy Chappell, Vuelio's Head of Insights Strategy, found a similar trend across sectors in her report on the visibility of supermarkets in the UK “ The role of AI, LLMs, and earned media in shaping reputation” and noted that supermarkets were most often cited by trade publications like The Grocer and Grocery Gazette, not national newspapers. Trade press stories, being more focused and well-sourced, provide models with clearer, more citable facts than broader national articles. This doesn’t mean that Tier 1 coverage does not matter — CEOs value front-page exposure because it remains highly influential. However, relying only on tier 1 hits now means missing significant AI visibility opportunities.

Cited vs consulted: LLMs read a hundred sources, but cite only a few

Which type of media gets cited relies upon how AI models scan different pages. If these models are citing much more niche media outlets, we can assume that a lot of these pages that are consulted could be a part of very relevant Tier 2 media that ends up actually getting cited, and that we’re seeing more and more examples of in AI answers.  At the IABC APAC and Isentia webinar on measuring brand visibility in AI answers, Prashant Saxena, Isentia's VP of Revenue and Insights for SEA, stated that in the search era "we would get sources on our page one, page two, mostly page one", and people would click through to form their own opinions. The combined click-through rate in that era was 35 to 40 per cent. Nowadays, he says, "it's just four to five per cent" — since LLMs provide a smooth, ready-made answer and "most of us aren't really checking the citations".

Communications teams now face a new consideration: the distinction between sources that are consulted and those that are cited. At the IABC APAC and Isentia webinar, Takeo Apitzsch, Hoffman Agency’s Chief Digital and AI Officer, explained that AI models scan hundreds of pages to generate an answer but cite only a select few to users. This means that the audience sees only a small, curated portion of the sources that actually influenced the AI's response and a lot of what actually shapes the AI answer doesn’t get visible credit. Therefore, organisations need to make sure they reach out to those publications that AI models can actually crawl and audiences trust the most. 

What does this mean for communications professionals?

We are seeing four practical shifts:

  • Rebuild your tier list based on what LLMs actually cite, not on internal assumptions. A so-called “low-priority” trade publication or niche forum may contribute more to your AI visibility than a national outlet you have long targeted.
  • Keep your reshuffled tier list fresh, not just correctly ranked. In Why is content freshness the new currency for AI visibility? we discuss that a page that hasn't been updated in eighteen months is far more likely to drop out of AI answers altogether, no matter how well it once performed. Getting the right tier 2 outlets on side is only half the job done. Feeding them (and your own owned channels) on an ongoing basis is the other half.
  • Treat consistency as an essential. The largest gap between an organisation’s claims and what an LLM will confidently state is often due to inconsistencies between owned content and third-party coverage. When this occurs, the model may stop providing factual answers altogether.
  • Shift your focus from share of voice to share of mind. It is now less about how much you are discussed and more about whether the systems mediating the most have got the correct information about your organisation.If the system holds the wrong version, your audience may never access the right one.

Structurally, as Ashley Knapp, Head of Brand and Corporate Affairs, East Asia at Schneider Electric noted during the webinar, these efforts can no longer remain siloed. Owned, earned, shared, and paid media have traditionally been managed by separate teams. Now, because of AI visibility, this required a unified approach, as models do not distinguish between departments but are first to detect inconsistencies. 

This also means reconsidering the PESO (paid, earned, shared and owned) strategy deployed by organisations since the way that LLMs access and prioritise them has changed. They prioritise brevity in content due to the high costs of GPUs and data centres. As a result, the shortest, clearest, and most trusted answers are favoured which benefits brands with strong reputations. Earned media remains important, but its influence now depends more on the credibility of the analyst than the platform. Shared content amplifies messages more than ever but is also where misinformation spreads fastest. Paid media is becoming more prominent in some models, though brands are still learning how this impacts visibility.

Media monitoring companies are becoming strategic AI visibility consultants

This shift requires media monitoring companies to evolve. Tracking mentions and sentiment across media channels has been central to media intelligence, but AI visibility has added a new dimension to this.  This means monitoring not only what is said about an organisation, but also which sources AI models use when answering questions about that organisation, and assessing how current, authoritative, and consistent those sources are. This gives media monitoring organisations an opportunity to own what they’ve developed and also be thought leaders in this space. Stakeholders value the “so what” advice much more than just knowing “this is what is being said about you in the media”.

Lumina AI View addresses this by tracking which sources ChatGPT, Gemini, Claude, and other models cite when representing an organisation, benchmarks citations against competitors, identifies narrative shifts before they reach stakeholders, and regularly scores AI visibility against four reputation pillars: Direction, Performance, Integrity, and Innovation, These pillars have always supported reputation management, now applied to a largely unseen audience.

If you're weighing up where a tool like this sits alongside the rest of your stack, our own comparison, Best AI Tools for PR & Comms Teams (2026), breaks down how AI-assisted coverage, measurement, crisis response and reporting tools stack up, Lumina included.

Because that’s really the mindset shift comms teams, and the firms advising them both need to make. As Takeo put it on the IABC APAC and Isentia webinar: “I fear that this is the mindset shift communications teams and their advisors must adopt. I fear that AIs will be your secondary, and if not, at least equal… audience in the future.” Beyond human visibility, reputation is about being accurately represented by the systems that mediate access to your audience, which is an additional layer that cannot be trivialised anymore. 


Want to see which sources are shaping how AI describes your organisation? Get in touch about Lumina AI View.

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Blog
How relevant is Tier 1 and Tier 2 media hierarchy in impacting how organisations show up in LLMs?

The hierarchy that exists between Tier 1 & 2 publications today is being challenged. AI models are the new way audiences discover information requiring organisations to rethink how they show up to remain visible in an AI-mediated environment.

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Would you trust a brand more if an AI model recommended it? For many, the answer is yes – and it’s changing the very nature of PR & Comms.

Our latest report digs into the changing nature of trust, as audiences turn to AI models for quick answers instead of going to organisations or media outlets directly, with AI fast becoming the final stop in the comms cycle. 

This report unpacks:

  • Why trust has shifted, and where audiences are having these conversations
  • Why AI has become the last stop in the comms cycle
  • Methods for staying on top of your brand trust and reputation

To access the full report, fill in the form below:

Discover our Lumina AI suite here.


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How AI is destabilising trust and reputation amongst audiences?

Learn how LLMs reshape brand perception and actionable steps organisations can take to maintain trust and reputation in the new information era.

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