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Ngaire Crawford, Director of Insights, ANZ

In leadership meetings across the industry, a single question has become unavoidable: "What is our AI strategy?" Behind this question is often the unspoken hope for an "AI Easy Button": a mythical, one-click solution to our most complex measurement challenges. As someone who spends a large portion of my time designing these new frameworks, I'm infinitely more excited about the blueprints and the foundations than what colour the house is painted.

For the first time in my career, we have the tools to stop using proxies and start building what we've always wanted: true, at-scale, sophisticated measurement. The real opportunity isn't in automation, which lets the AI decide;  it's in the architecture and design of systems for the AI to follow. For decades, I’ve been frustrated by proxies. I’ve watched organisations use metrics like Impressions and Share of Voice as proxies for impact and influence. Too many people have been measuring the loudness of their voice, not whether anyone was actually listening.

Much of the history of communications measurement has been a story of 'good enough' data. And in some cases, data that wasn't even good at all (*cough* AVEs). 

Why a blueprint still needs an architect

But before we can harness the potential of AI, we have to be honest about the technology and tools we're working with. As anyone who's ever used a "smart" tool knows, they can be... well, confidently wrong.

The new challenge isn't just "Garbage In, Garbage Out." The new challenge is that the AI has become a high-speed, frighteningly convincing echo chamber. When a machine delivers a flawed insight, it does so with the resolute certainty of a supercomputer, laundering that flaw into a "fact."As architects, our job is to audit the blueprints and stress-test the materials before we build the house. When my team and I test these models, we're not just looking for what they do right. We're methodically hunting for where they go wrong.

Where we continue to see a critical need for human intervention and expertise:

• Context Blindness: AI is a brilliant pattern-matcher, but it has limited real-world context and struggles to identify the intent of what’s being analysed. It can miss the nuance of language, the authority of a source, or whether something is fact or speculation.
• Language Bias: This is my personal favourite and takes a few forms. AI is trained on text, but it isn't (yet) trained on human subtext. This can look like missed nuance for slang used by younger audiences or emerging shifts in the meaning of language. Models are ultimately impacted and biased by their training data, so this can also mean larger systemic biases are amplified and not appropriately interrogated.
• Viewpoint Collapse: While AI can sometimes get locked into a perspective based on its training, it can also collapse multiple, distinct viewpoints (like a speaker's sarcastic intent vs. the literal text) into a single, flat monolith. This drastically changes the outcomes of your analysis and ultimately the understanding of your audience.

This is the methodical, behind-the-scenes work that often goes unseen, and it is the crucial due diligence needed. It’s not as flashy as writing a press release faster, but it’s the only way to build a tool you can actually trust to make a strategic decision.

New tools, same bedrock principles

This testing isn't just about finding technical bugs or funny hallucinations. We’re testing these new AI models against the foundational, hard-won principles of communications measurement that our industry has spent years formalising.

AI is an incredibly powerful new tool, but it doesn't get a free pass. It still has to follow the rules of good measurement.

• Measure outcomes, not just outputs: This has always been our goal. An AI-driven approach that only counts outputs (like mentions or sentiment) 1,000 times faster is still just a faster measure of noise. It doesn't tell you if a single mind was changed or a single action was taken.
• Demand transparency: A metric is useless if you can't explain how it's calculated. This is my biggest critique of the current "plug-and-play" approach to AI. If a vendor provides a proprietary 'Reputation Score' of 7.2, and they can't (or won't) tell you the formula, it's not a metric. It's marketing.
• Link activity to business objectives: This is the most important rule of all. The only reason to measure is to inform a strategic decision that ladders up to a business goal. A tool that just produces data, but no clear insight linked to your specific objectives, has failed.

When we stop seeing AI as a magic box and start seeing it as a powerful, scalable engine, one that we must build and steer based on these principles, then it becomes truly transformative.

The payoff: the tools are finally catching up to our ambition

A new frontier of opportunity is here. Such as the capability to move from being reactive to being predictive, and it takes careful design to get this right. Our traditional analysis has been brilliant at explaining what has just happened. Now, as architects of these new systems, we are building and testing AI models that can scan the horizon for the faint signals that precede a major narrative shift.

We can empower movement from broadcasting and the old spray and pray approach; to precision, deliberate engagement of stakeholders and audiences. This is another area where the craft of measurement design is essential. AI gives us the power to see the micro-communities and specific, high-authority voices that actually shape opinion. The work is in designing the models that can identify them accurately.

Finally, we can (at last!) move from quantifying to qualifying at scale. For me, this is the most exciting and complex challenge. For 20 years, I’ve had to choose: a large-scale quantitative study (which missed nuance) or a small-scale qualitative review (which couldn't be scaled). As architects, we can now design frameworks that don't just give a "positive" score but confirm that a specific strategic message landed, with the right audiences, and in the intended context.

That is the opportunity. It's not magic. It's the methodical, patient engineering we've been waiting for. It’s the difference between a "plug-and-play" gimmick and a truly strategic asset. The real payoff isn't just faster reporting, it’s about fundamentally upgrading behaviours and expectations of measurement. This isn't an overnight shift. As any research leader will tell you, a new methodology takes time, testing and refinement to get right.

The future we've been waiting for

For my entire career, we’ve been strategic thinkers working with tools that could only show us the past. We were forced to be historians, meticulously analysing what had already happened to predict future behaviour. The key to using this new, complex technology effectively is; strong communication, articulation and critical human thinking. The power of any AI is unlocked by the quality of the question you ask it. It's a system that rewards clear, precise, and strategic language.

This is a massive homefield advantage for communicators, who have spent their entire careers honing the exact skills required to be the architects of this new era. The AI we are using today is the worst it will ever be. It will only get better, faster, and more capable from here. This is what's so thrilling, and it's just the beginning. This new generation of AI driven approaches doesn't replace our intuition, it amplifies it. As communicators (and researchers!) this is the moment to level up. We get to be the explorers and the strategists who connect communications directly to business, policy and societal outcomes. 

We're not just building better measurement and deeper insights; we're leading a more intelligent, more responsive and more impactful profession. What an incredibly exciting time to be in this industry.

Ready to be the architect of your own measurement strategy?

To learn how to build the right KPIs and tell a compelling story with your data, register for our live webinar:

• Topic: Making Communications Count: Build your KPI confidence and storytelling"
• Date & time: 12 November, 11am AEDT/ 2pm NZT
• Hosted by: Ngaire Crawford, Director of Insights for ANZ, Isentia.

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The global landscape of Muslim travel has fundamentally changed in the post-pandemic era. We are no longer talking about a niche market but about a dynamic, rapidly expanding demographic reshaping global tourism. We recently worked on a co-branded report with Have Halal, Will Travel (HHWT), which included an analysis of 1.4 million data points on mainstream and social media sources in the APAC region from 1st November 2024 - 31st August 2025 to a significant shift in modern travel. Asia has emerged as the new epicentre for travel conversations, surpassing the Middle East. As countries seek to attract this market for economic growth, especially amid declining tourism from other regions, the space has become crowded. For brands and destinations looking to capitalise on the right audiences, superficial efforts are no longer enough. Being authentic is the crucial currency in this new world.

Prashant Saxena, VP of Revenue and Insights, for the SEA region presented this report at the Have Halal, Will Travel Deep Dive session on "Brave New World" that saw PR & Comms and marketing folks from airlines, hotels and tourism boards interested to understand what the latest travel insights are and why Muslim travel is surging. We interacted with the attendees at our booth to introduce them to our media monitoring and audience intelligence capabilities.

Walking the talk: building culturally inclusive infrastructure

Destinations and brands are "walking the talk" by moving beyond marketing campaigns to tangible, on-the-ground investment. Nations are actively developing Muslim-friendly infrastructure, including airlines, hotels, and payment platforms, to cater to this influx of travelers. This does not mean providing only basic services, but rather aiming to be as culturally inclusive as possible by embedding Muslim-friendly considerations into the travel experience. This is also in part exacerbated by the decline in Chinese travellers to Southeast Asia, which has led to nations in this region attracting Muslim tourists and looking at them as the best option, seeing how much of a muslim crowd there already is domestically.

For example, Vietnam is building a comprehensive Halal tourism ecosystem with the goal of establishing Muslim-friendly zones in its capital by 2030. Similarly, the Philippines has rolled out halal-accredited establishments and essential services like healthcare and finance , while Australia is mainstreaming halal food alongside other ethical/lifestyle choices like 'vegan' and 'gluten-free'. This changes the narrative, showing a deep commitment that resonates far more powerfully than a simple welcome.

Owning the narrative by navigating traveller concerns

The necessity is for brands and tourism destinations to take control of the story, even when there are issues. The opportunity is immense, but travellers are acutely aware of challenges. Conversations around rising costs and scams have dominated online discussions, particularly in Southeast Asia. Countries like Malaysia and Turkey have seen negative sentiment due to issues with halal certification and travel scams, which erode trust at a foundational level. In Indonesia, some even link inflation to the regulatory burdens of halal certification on small businesses.

The best way for brands and tourism groups to address these concerns is to clearly explain what they are doing to fix them. Admitting there are problems shows responsibility and helps build trust by proving they listen to travelers. Technology, like apps for faith-based services, is helpful, but it is not enough on its own. They must be backed by transparent action on the ground.

The authenticity playbook: a strategic guide to aid authentic communication

Brands need to understand that in an increasingly digital world, audiences are highly alert to signals of what feels "real". The report introduces an "authenticity playbook" that outlines key cues that shape whether audiences trust and engage with content. The analysis shows that social media posts with more authenticity cues or signals have higher engagement rates.

To make the most of this, brands should create strategies that are both efficient and focus on the human qualities people care about. Communication from brands or leaders should include:

• Cultural anchoring: Brands should do more than just make small gestures. They can offer useful guides for halal food, point out easy-to-find prayer spaces, and highlight truly inclusive experiences. For example, AirAsia understands its audience and operates many flights between countries with large Muslim populations. The airline makes its message clear through special deals, collaborations with influencers, and partnerships with online travel agencies to offer the best packages, while also promoting halal food and Muslim-friendly services.
• Endorsement and validation: Brands should work with trusted Muslim travel influencers and, even more importantly, encourage regular travelers to share their stories and reviews. This kind of social proof is much more believable than traditional ads.
• Consistent voice: Brands need to maintain a reliable, familiar tone across all communication channels. Being consistent shows they are stable and committed, which helps build a strong brand image over time.

The Muslim travel market is evolving with sophistication and purpose. Travellers today are looking for more than just halal food options. They are seeking digital detox retreats inspired by Islamic values, regenerative tourism that supports local communities, and safe spaces for solo female travelers. For destinations and brands, the path forward requires an authentic and strategic commitment. The ones that master the art of genuine connection and consistently "walk the talk" will not only capture a share of this thriving market but will also earn its most valuable asset: trust.

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Interested in learning how Isentia can help? Fill in your details below to get access to our latest co-branded report on "Muslim Travel Pulse: evolving audience perception on Muslim food, travel and trade" and read more about our cues designed to measure brand authenticity.

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During reputational crises, many brands find themselves pressed into strategies that are entirely reactive. However, a better understanding of a brand's audience and stakeholders – how they communicate and what they value – would empower brands and the teams running their messaging to respond more authentically, helping comms land in the right way at the right time.
With AI content taking over audience news and social feeds, brand leadership must invest in creating a framework that actually measures authenticity.

Prashant Saxena, VP of Revenue and Insights, for Isentia (SEA region) in his research paper on "Authenticity in the age of AI" has identified cues or signals that audiences subconsciously look for when identifying if a social post is written by a human or virtual influencer. Understanding these cues gives brands and PR leaders a much needed manual or playbook that guides them with the content audiences expect to consume. These equip us with a practical roadmap with clear implications for AI governance and digital literacy amidst the workplace and audiences.

Why is authenticity in crisis?

Cues in action

Audiences are more alert than ever to signals of what feels genuine online. These subtle markers, from factual accuracy and cultural relevance to tone, consistency, and timing, influence whether people trust a brand’s message, engage with it, or scroll past.

Our analysis of leadership posts on social platforms reveals a pattern. The more authenticity cues a post displayed, the higher the engagement it received. It’s not about relying on one signal but about layering multiple ones together. Posts that showed identity, accuracy, emotional expression, and consistency outperformed those that didn’t. For brands, this insight offers a practical takeaway. Every post can be tested against these cues. The closer the content aligns with them, the more likely it is to spark meaningful engagement. When conversations are filtered through these markers, the most valuable audience feedback comes into focus, the kind that helps brands adjust strategies and connect more deeply with people.

Looking at how tech leaders post on LinkedIn shows just how powerful authenticity cues can be. Piotr Skalski’s celebration of hitting 30,000 GitHub stars combined identity, visuals, community validation, and more - and it drew the highest engagement. Tay Bannerman’s post leaned on accuracy, cultural insight, and emotion, earning slightly less traction, while Oliver Molander’s take on ChatGPT carried fewer cues overall and saw the lowest engagement of the three. This comparison highlights how posts with a richer mix of cues tend to resonate more, while those with fewer signals struggle to spark the same response.

Authenticity isn’t one-dimensional. It’s built from many layers, and brands that balance the scale and efficiency of AI with recognisable human signals will stand out. Those who manage both can achieve more by building trust, relevance, and long-term human connection. Ching Yee Wong, VP of Communications, APEC at Marriott International said, "AI can enhance planning and recommendations, but the human element remains central to the experience. Technology supports efficiency, while cultural sensitivity and personal care must remain human-driven."

How the launch of Chat GPT-5 did not conform with audience expectations

The GPT-5 launch was not the best. The expectations were so high, that audiences knew it was bound to disappoint. Why was it not up to mark? The online vocal users of a brand are the spokespeople that the brand did not choose. These audiences are loyal users of the product and in exchange, they expect that the brand provide them with what they need. The monetary aspect becomes irrelevant if the brand delivers.

When OpenAI launched GPT-5, many long-time users felt let down. The decision to merge earlier models into one version was seen by some as a cost-cutting move, and the disappointment was loudest among the platform’s most loyal audience. Running these reactions through our authenticity cues showed a clear gap in cultural relevance. The release didn’t reflect the expectations or norms of its most vocal users. That’s an important lesson for brands and leaders - audiences want to feel heard. The best way to achieve that is by analysing online conversations through these cues, which can reveal what people truly expect and guide how to respond.

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Interested in learning how Isentia can help? Fill in your details below to get access to our latest Authenticity Report and read more about our cues designed to measure brand authenticity.

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Mass AI-generated content has overwhelmed our social feeds, and that has set a sense of panic among PR leaders. Brand communications were tricky earlier, but this has been exasperated even further by AI content. Audiences have been left confused, whether it be not being able to differentiate between real and fake personalities online or fake statements being circulated to mislead audiences. This has kept leadership wondering how they can cut through and impact their target audiences who are, at the moment, overstimulated with AI-driven content.

We analysed 30M data points between 1st January 2025 - 12th August 2025 globally on social and mainstream media like X, Forums, Online news, LinkedIn, TikTok, Instagram and Facebook. We looked at real world cases of how audiences have been misled to believe something is real, and how this started a domino effect on the content being consumed by the world today.

The rise of synthetic content outranks fact-checkers by a mile

Synthetic media has taken over the internet and audience feeds have been flooded with unrelated and unreliable AI content. What's important to note is that, with mass AI content, unreliability can lead to getting into a dangerous spiral of consuming nonsensical content that does not benefit anybody. As a result, audiences have started to defend the content they see by wanting to only subscribe to what conforms with their expectations. With a decline in the number of fact-checkers, misinformation and disinformation have become rampant.

Virtual influencers are creeping in on social media feeds

Mia Zelu, a virtual influencer, grew popular during this year's Wimbledon. On her Instagram, she had uploaded a photo carousel that looked like she was physically there at the All England Club enjoying a drink. At first, she seemed real, but the media and audiences quickly questioned it. She posted the images in July of this year during the tournament with a caption, but was quick to disable her comment section adding to the mystery and debate. There was a lot of online backlash with audiences clearly frustrated with how easily deceiving this could be. Despite the backlash, her follower count grew and her account now has about 168k followers.

The conversations around AI influencers is only just beginning and raises serious questions on authenticity, digital consumption and how AI personas can truly affect audience perceptions - without truly existing.

AI means brands are operating in a space of reduced trust

According to the AI Marketing Benchmark Report 2024, the trust deficit directly impacts brand communications strategies, as 36.7% of marketers worry about the authenticity of AI-driven content, while 71% of consumers admit they struggle to trust what they see or hear because of AI.

Audiences are not rejecting AI outright, but the opacity around it could be dangerous, making their confidence in AI as a tool shaky. This is where PR leaders need to make authentic communication a necessity and not just a "nice-to-have". In times where audiences are doubting whether a message was written by a human or a machine, the value of genuine and sincere human-driven storytelling rises.

Real-world instances where AI as a tool misses

Scepticism towards AI doesn’t just come from high-profile controversies. It shows up in small, everyday moments that frustrate audiences and remind them how fragile trust can be.

• Grok’s image blunder: A widely shared photo of a young girl begging for food in Gaza was wrongly tagged by Grok as being from Iraq in 2004. The mistake spread quickly across platforms, fuelling anger about misinformation and raising questions about the reliability of AI tools.
• McDonald’s drive-thru glitch: A customer in the US posted a TikTok showing how AI at a drive-thru added nine extra sweet teas to her order. The error caused by crosstalk from another lane, might seem trivial, but it highlights how automation can fail at simple tasks and how easily those failures go viral when shared online.
• Air Canada chatbot case: A customer seeking information about bereavement fares was misled by the airline’s chatbot. When the company was asked to explain this, they claimed the chatbot was “responsible for its own actions.” A Canadian tribunal then, rejected this defence and ordered Air Canada to compensate the passenger. The incident drew widespread coverage, reinforcing public concerns that businesses are over-relying on AI without accountability.

Audiences expect to consume "more real and less fake"

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Interested in learning how Isentia can help? Fill in your details below to access the full Authenticity Report 2025 that uncovers cues for measuring brand and stakeholder authenticity.

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