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Our IT teams spend much of their time talking with clients about new ideas and improving user experience. As such, product development is a huge part of their role.

Computer science is as much art as it is science. With that in mind, at Isentia, we try to keep things as simple as possible. We increase our developers’ productivity by training them to avoid code complexity, write simple code and follow good software engineering practices when implementing a solution to a problem.

The goal is to make Mediaportal, our blue ribbon platform, easy to use for both the everyday user and those who log in more sporadically.

After extensive research we uncovered a few home truths:

The Architecture of Information in Mediaportal needed improvement: Users felt that jumping from one important feature to another took too many steps. At the same time, visual complexity made the menu hard to scan.

More intuitive design was required: Certain core functionalities were not prominent, with some users struggling to navigate to popular tabs.

Mediaportal needed a more responsive design: Client feedback from users logging on via lesser-known browsers or smartphones showed that not all Mediaportal functions were easy to navigate. We know how important it is for clients to access Mediaportal throughout the day across multiple devices. As such, our technology requires constant review to ensure Mediaportal remains a platform that delivers insights and news anywhere, anytime.

As such Mediaportal has undergone an overhaul.

At the core of this project, as always, were the clients. We worked closely with more than 35 of them, collecting hours and hours of interviews and testing dozens of different design variations. We listened carefully to their feedback and ensured it was incorporated into every design. The end result? Our teams designed a platform that is intuitive and can be used to its full potential by everyone – from first-time users to our most regular visitors.

Enterprise applications bring a whole domain of complexities when compared to consumer apps, as they usually involve connecting to one or more legacy systems and include a much greater scope. However, complexity does not mean we have to settle for less in design. Instead, a well-designed enterprise application harnesses a greater positive impact for the business.

For more information on our Mediaportal platform and the service we deliver, visit our services page and connect with us.

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Take a peek at Isentia's new look Sydney and Melbourne offices

24 October 2018

Media intelligence and insights leader, Isentia (ASX:ISD) opens its doors to a newly refurbished Melbourne office and shares a sneak peak into its Sydney HQ designed for a new and tech savvy workforce.

SYDNEY

Located on Cleveland Street in Surry Hills, the light-filled Sydney HQ enjoys uninterrupted views of Sydney city and Prince Alfred Park. 

Conveniently located, just a few minutes’ walk from Central Train Station, the office is well connected to bus routes and the soon to be completed light rail. Staff also benefit from newly renovated end-of-trip facilities such as showers, lockers and bicycle parking. 

The vibrant area of Surry Hills is home to a range of cafes and restaurants, gyms, yoga studios and (year-round heated) Prince Alfred Park Pool, with open grass area for unwinding or enjoying a quick break outdoors. 

Isentia HQ benefits from an airy and open plan design creating a sense of community. A newly renovated, open plan kitchen and common area isoften used for Friday drinks, birthday celebrations and friendly (competitive) table tennis matches. Breakout areas, huddle spots, and quiet rooms are available in addition to meeting rooms, making a range of work activity possible – with an innovation lab coming soon!

The office renovations form part of Isentia’s transformation as a tech company. Supporting this are a wide range of career opportunities from CX, product design and development, infrastructure and solutions development to media analysts. 

MELBOURNE

Last week the team presented a completely redesigned Melbourne office, now housing more than 70 desks for local analysts, sales, client service and editorial team members as well as new glass offices and meeting spaces that encourage natural light to flow to every corner. 

While Sydney will remain Isentia's headquarters, the decision to update the Melbourne office was an easy one says John Bissinella, Head of Client Solutions. "It was important we update the look and feel of our Melbourne office to keep pace with the speed and innovation of our tech. We deliver Australia’s fastest, most comprehensive and reliable media monitoring, intelligence and insights service – it was time for our workspace to be reflective of this.”

We’re excited to share this space with our valued clients who value the rigour with which our insights and intelligence services are delivered, and appreciate hearing from the people who work to deliver their service 365 days of the year.

With a new kitchen and breakout spaces, renovated bathrooms (including showers and change facilities for commuters), as well as improved lighting, flooring and desk layouts, the office promotes greater collaboration between teams and encourages a more flexible work environment.

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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. 

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

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