PR News
Jasmin Hyde

Is your PR working?

Every discovery call reaches the same moment. Somewhere between the pleasantries and the pricing, the prospect asks a version of the same question.

How do you actually know if your PR is working?

How is it proven?

Research conducted by the International Association for Measurement and Evaluation of Communication (AMEC) suggests that the communications measurement gap is less about whether practitioners recognise the importance of proving impact, and more about how measurement is embedded into daily practice.

A 2024 industry survey conducted on behalf of AMEC found that while practitioners report aligning PR metrics with broader business goals 80 per cent of the time, only half say measurement and evaluation get a dedicated budget line, and just 51 per cent say clients scope one into the RFP or SOW in the first place. The intent is there. The funding and follow-through often aren't.

And client demand for proof is rising faster than the industry's ability to supply it.

The same survey found seven in 10 practitioners say most or all their clients now require measurement, evaluation, and reporting to demonstrate effectiveness, and three-quarters say they're actively testing or adopting new measurement tools to keep pace.

The demand side of the equation has clearly shifted. Whether the supply side, proof that actually holds up, has kept pace is a different question.

The next blind spot, AI

In May, AMEC launched its GEO Principles for AI-led measurement, and one thread runs through them: visibility in an AI-generated answer is not, by itself, an outcome.

The principles ask practitioners to distinguish being surfaced by an AI system from actually shifting awareness, trust, behaviour, or impact.

They also call for practitioners to document the tools, prompts, platforms, dates, and other assumptions behind AI-visibility claims, and to treat observed AI outputs as directional evidence rather than definitive proof.

That matters because AI visibility risks becoming PR's next version of AVE: a number that looks precise, is easy to report, and tells you much less than it appears to.

The channel has changed. The measurement problem hasn't.

 

The relic everyone still leans on

The frustrating thing is that this isn't a new problem the industry hasn't had time to solve. It's an old problem the industry agreed to solve, then largely didn't.

Sixteen years ago, AMEC's Barcelona Principles formally rejected Advertising Value Equivalency, the practice of pricing a story's column inches or airtime as if it had been bought as advertising.

Principle five is blunt about it: invalid measures such as AVEs should not be used, and the contribution of communication should be measured by outcomes and impact. PRSA, the PRCA, CIPR, and the Global Alliance all endorsed the same position.

For more on AVEs, read Kate Midttun's recent column.

What is actually being asked

Increasingly, prospects aren't asking whether we'll get coverage. They're asking what the coverage is supposed to change.

That's the biggest shift in the conversations I'm having. The strongest prospects have stopped asking, "Will you get us coverage?" They're asking what should happen because of the coverage, and they want that outcome named before any activity starts, not narrated afterwards.

One recent prospect made the point particularly clearly. They didn't want visibility built around one spokesperson. They wanted enough independent evidence, practice-level data, real accounts of impact, and multiple credible sources, to make a sector issue impossible for decision-makers to ignore.

The output they cared about wasn't hits. It was whether the issue moved from invisible to part of the public conversation.

That distinction, between output and outcome, is exactly what the Barcelona Principles have been arguing for since 2010: measure what communication is intended to change, not simply the space coverage occupies.

It's also one of the fastest ways to tell, in a first meeting, whether a prospect has a realistic view of what earned media can do, and whether an agency is offering a genuine plan or a highlights reel.

The honesty problem, not the measurement problem

PR's ROI problem was never really about the absence of good measurement frameworks. We've had one, publicly, since 2010.

It's an incentive problem: AVE-style theatre is easier to sell and easier to buy than an honest account of what's provable and what isn't. Clients who accept a big scary number without asking how it was calculated are complicit in that too.

Good measurement requires agreement before the first pitch goes out.

That is what is this campaign intended to change, what evidence would demonstrate that change, and what can earned media alone not prove?

That is the standard the industry has had in front of it for 16 years.

The problem isn't that we don't know how to measure PR better.

It's that, too often, we still choose not to.

Jasmin Hyde is the founder of Hyde & Seek Communications, a Melbourne-based strategic communications consultancy advising founders, executives, and organisations where reputation has real commercial consequences. The firm focuses on earned media, executive positioning, and digital PR for the AI search era, working across tech, healthcare, sustainability, and social impact.

After a decade advising leaders across government, corporate, and high-trust sectors, Jasmin started Hyde & Seek on the view that the industry doesn't need more volume. It needs better stories, and the right people getting the right kind of attention.

She writes regularly on the shifting economics of earned media, the changing role of PR in an AI-mediated information ecosystem, and why credibility can't be bought.

Read more from our columnists in The Earned View

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Vero has elevated Peerapong Pongpakdee (pictured middle) to Director of AI, Innovation, & Insights for Southeast Asia.

In the role, Peerapong will oversee the consultancy’s regional capabilities in artificial intelligence, data analytics, and digital innovation. He has led the insights team, formerly known as Vero IQ, for the last five years.

Based in Bangkok, Peerapong works with clients and colleagues across Indonesia, the Philippines, Singapore, Thailand, and Vietnam, and more recently, with colleagues from Mad Hat Asia. He will lead Vero’s social listening and media monitoring capabilities, in addition to its Generative Engine Optimisation offering.

Additionally, Peerapong will also spearhead internal AI adoption initiatives across six markets through training, playbooks and workshops, while strengthening the implementation of Vero’s AI usage policy, covering client confidentiality, data privacy, intellectual property, and human oversight.

He also leads the management of Vero’s existing tech stack, which includes AI-powered content optimisation tool, EditorialIQ, as well as agentic AI for client, media, and back-office work.

Peerapong said: “The new name of our team reflects the work we are doing for our clients today,”

“We are here to help clients achieve their goals in Southeast Asia, navigate what AI means for their communications campaigns, understand their audiences more deeply, and build AI-powered solutions tailored to their needs so that brands and organizations are visible in the right places.”

Vero’s Chief Commercial Officer, Umaporn Whittaker-Thompson added: “The PR industry is expanding at a rapid pace, and strengthening our AI, Innovation, & Insights team is one of the crucial steps we are taking to ensure that we are not just keeping pace, but also pioneering the next generation of storytelling.

“We’ve already seen the value and impact of AI and data on client counseling and communications strategy. We are confident that this reinforced focus on the team’s capabilities will supercharge the delivery of high-impact work for our clients, accelerate our own business growth, and further elevate the standard of communications in Southeast Asia.”

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Umesh Ratnagobal joins construction company as Head of Corporate Affairs

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Sefiani: Cyber
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Sefiani: Cyber incident playbook needs a rewrite for the AI era

Historical data breaches are resurfacing in AI-generated answers when consumers evaluate whether to trust or purchase from an organisation, potentially extending their reputational impact long after the incidents have been resolved, according to a new report by Sefiani, part of Clarity Global.

The research, Cyber Breaches and Reputation Response in the AI Era, combined a nationally representative YouGov survey of 1,019 Australian adults, conducted between 19 and 24 August 2026, with an analysis of how three AI search tools reference historical cyber incidents across different stages of the customer journey.

Using its Surfacd AI visibility tool, Sefiani examined three organisations that had experienced significant data breaches: a global law firm, a global logistics company, and an Australian private health insurer. The analysis tested 30 prompts per organisation across ChatGPT, Google AI Mode, and Google AI Overviews.

The findings suggest that while consumers may be willing to remain with organisations following a data breach, the way a company communicates its response and subsequent improvements can have lasting reputational implications.

Breach visibility increases closer to purchase decisions

The study found that historical data breaches were rarely mentioned in AI-generated responses during the initial stages of customer research but became increasingly visible as queries shifted towards evaluating specific organisations.

During the category discovery stage, past breaches appeared in an average of 2.7 per cent of AI responses across the three organisations. This increased to 13.1 per cent during brand validation and 42.2 per cent at the decision stage, when users asked more directly about an organisation's trustworthiness.

For one organisation, breach history appeared in 59.1 per cent of decision-stage responses.

The research also found that AI responses did not exclusively frame historical breaches negatively. Some answers referenced how organisations restored services, improved security, or responded to incidents.

According to Sefiani, this means organisations need to consider how their handling of an incident continues to be represented publicly, even after the immediate crisis has been resolved.

Customer loyalty depends on the response

The YouGov survey found that 31 per cent of Australian respondents said they would stop using an organisation following a data breach, while 53 per cent said they might stop.

However, the research identified a gap between stated intentions and reported behaviour, suggesting that experiencing a data breach does not necessarily result in customers abandoning an organisation.

Among all respondents, 57 per cent had been customers of an organisation that experienced a breach. The report found that 13 per cent had moved to another provider, while 24 per cent considered leaving but stayed, and 20 per cent did not consider leaving.

When asked what would influence their decision to continue using a company following a breach, respondents identified measures taken to prevent another incident as the most important factor (39 per cent). This was followed by the seriousness of the breach (32 per cent), the type of customer information affected (32 per cent), transparent communications about what happened (30 per cent), and support offered to affected customers (29 per cent).

The study also tested how descriptions of an organisation's breach response in AI-generated answers could influence purchasing intentions.

When respondents were presented with a scenario in which AI reported that an organisation had been slow to notify customers and lacked transparency, 28 per cent said they would purchase from it. This increased to 57 per cent when the AI response described prompt customer notification, clear explanations, and practical support.

By comparison, 67 per cent said they would purchase from an organisation that was generally well reviewed, with no data breaches mentioned.

 

Where AI draws its information from

Sefiani also examined the information sources referenced by AI when generating answers about the three organisations.

Corporate content, including company websites and owned reports, appeared most frequently, referenced in 88 per cent of responses. Editorial media coverage followed at 61 per cent, while government and regulatory sources appeared in 55 per cent, and user-generated content, including social media, in 36 per cent.

The report noted that the source mix varied depending on the sector and the nature of the query.

These findings highlight the role of both owned communications and independent third-party information in shaping how AI presents an organisation's reputation.

According to Sefiani, organisations that stop communicating publicly once a breach has been resolved risk leaving AI tools to draw on historical media reports and other third-party commentary without access to an updated account of the company's response.

Sefiani's Managing Partner, Mandy Galmes, said organisations should consider what information remains publicly available after the immediate incident has passed.

"Once the incident is resolved, organisations need to publish a clear, factual account of what happened, what they did and, importantly, what they have changed, on their own channels. This means AI has your own version of the incident. If this step is missed, AI will build the story and define your reputation for you, from whatever media coverage or third party commentary appeared."

Updating the crisis communications playbook

The report argued that established cyber crisis communications practices, including timely disclosure, factual updates, and customer support, remain important but need to account for how AI tools retrieve information long after an incident.

It proposed five additional considerations for organisations managing cyber incidents:

  • Publish a factual account of the incident and response: Maintain an accessible summary on owned channels outlining what happened, how customers were supported and what has changed to reduce the risk of recurrence.

  • Engage with credible editorial media: Consider providing journalists with a factual account of the organisation's response, remediation and lessons learned to create an independent record.

  • Maintain customer support beyond the immediate incident: Recognise that customer experiences may continue to influence reviews, social media discussions and other content used by AI.

  • Share lessons with industry stakeholders: Work with industry bodies and peers to communicate relevant learnings that could support broader cyber preparedness.

  • Monitor AI-generated responses over time: Assess how AI platforms describe the organisation before and after an incident, including which sources and narratives they reference.

Co-founder and CEO of NSB Cyber, Shane Bell, highlighted the importance of communications during the initial response.

"Good and bad cyber incidents used to come down purely to technical judgement. A bad incident is now more often than not one that was poorly communicated. Technology discussions tend to dominate the first 72 hours, when communications should be front and centre. Organisations that struggle are the ones least prepared to talk to the regulators, suppliers, partners and customers," he said.

What communications professionals need to know

The research suggests that the reputational consequences of cyber incidents may extend beyond the traditional news cycle, particularly as AI tools increasingly draw on historical information when responding to questions about organisational trustworthiness.

For PR and communications professionals, the findings point to the importance of maintaining an accurate, accessible record of an organisation's response and remediation, alongside continued engagement with customers and relevant stakeholders.

For media professionals, the study highlights the potential longer-term role of editorial coverage as a source of information in AI-generated assessments of organisations.

The findings also suggest that post-crisis communications should not be measured solely by the immediate public response. Monitoring how past incidents and subsequent corrective actions are represented across AI platforms may become another consideration in long-term reputation management.