Machines Can’t Bridge Your Skills to the Customer Problem for You
For most of modern business, organisations have communicated from the inside out: describing their expertise, products, services and experience. The customer does the reasoning, matching those attributes to a problem and deciding whether the organisation might help.
That model has always placed a burden on the buyer, but humans are remarkably good at carrying it. We infer, interpret and make connections from incomplete information. We can look at a list that includes media relations, market-entry strategy and executive profiling and think: “This team could help us establish credibility in Southeast Asia.”
Increasingly, however, a machine sits between the organisation and the buyer. It may be a search engine generating an answer, an AI assistant preparing a shortlist, or an internal tool summarising possible suppliers. These systems can process extraordinary amounts of information, but they work best when the logic is explicit. They are perfectionists in the sense that they seek a complete, defensible chain. If a company describes what it does but never connects that work to the customer’s situation, the machine is being asked to supply the missing premise.
That is a risk. Where the relationship between problem, intervention and outcome is merely implied, an AI system may overlook it, qualify it or favour another organisation that has made the connection easier to retrieve and repeat.
The answer is not to write robotic copy, stuff websites with keywords or produce a page for every imaginable prompt. It is to reverse the direction of communications. Start with the issue the customer recognises, explain why it occurs, show how the organisation addresses it, and state what should change as a result. In its simplest form: because you face X, we do Y, which enables Z.
We saw this while reworking our own Pinpoint PR website and, later, that of a customer. A conventional agency website tends to lead with capabilities: media relations, content, stakeholder engagement, reputation. Those labels say what the agency sells, but not necessarily when or why a client needs them. A clearer structure begins with the client’s situation: entering an unfamiliar market, struggling to explain a complex technology, or lacking the credibility required to influence a buying decision. The relevant communications skills then become the response to a defined business problem, rather than a catalogue from which the client must self-diagnose.
When we rebuilt pinpointpr.sg, we did so around the two situations our customers come to us for: entering Southeast Asia for the first time or scaling from Singapore across the region. The outcome was that the quality and quantity of enquiries reaching us changed within three months. They became more specific, better matched to what we do, and more of them arrived as formal briefs. In our latest tests, AI engines returned Pinpoint PR for four of the five buyer questions we track that don’t mention us by name, such as how to choose an agency to promote a B2B technology product in Southeast Asia.
The second example was humbling, because the irony was so sharp. An advisory firm we work with helps technology companies fix their routes to market across Asia Pacific. Yet its website was organised around internal disciplines: finance, go-to-market, operations and mergers and acquisitions. A chief executive whose resellers had signed up but were not selling first had to diagnose the problem as “go-to-market”. The firm that fixed route-to-market problems had one on its own website.
We rebuilt their website content around three situations their clients recognise: finding channel partners in a new market, fixing a channel that is underperforming, and transforming a channel business whose model no longer works. In the first month after relaunch, pageviews rose 35% month on month and pages viewed per visit increased from 1.43 to 2.48. Those figures do not yet prove lead generation—our analysis also identified missing conversion paths—but they are an early indication that visitors are exploring the new story more deeply. Their expertise now sits beneath the customer’s situation as proof, rather than above it as the headline.
This shift I’m describing has consequences beyond websites. Press releases, executive profiles, proposals, case studies and opinion pieces all need to carry the bridge. All claims should be supported by evidence, and ideally, keep a claims register of the sources for citations. Case studies are almost mandatory because they provide proof of your claim. They show you can do what you promise you can do. In case studies, identify the starting problem, the action taken and the result—not simply celebrate the work.
None of this diminishes the public relations professional. Rather, it raises the bar. Describing a customer’s problem accurately, in the customer’s own words, takes listening, sector knowledge and judgement—the very things a machine cannot supply. AI cannot change the oldest rule in our profession: communication starts with the audience.
About Illka Gobius
Illka Gobius is Founder and Managing Director of Pinpoint PR, a Singapore-based consultancy specialising in B2B technology and cybersecurity communications across Asia Pacific. She founded the firm in 2015 after agency roles at Burson-Marsteller and Euro RSCG, and has more than 30 years of communications experience in the region. She was named Asia-Pacific Best PR Leader at the WCFA Davos Communications Awards in 2022 and won Gold for Outstanding Marketing Communications Campaign at the 2026 awards. She is a past board member of the Institute of Public Relations Singapore and Programme Director of the IPRS PRISM Summit.
FAQs
-
AI answer engines and assistants work best when the logic is explicit. They look for a complete, defensible chain from the customer’s problem to the organisation’s intervention and the outcome. If a company describes its expertise, products and services but never connects them to the customer’s situation, the AI is left to supply the missing premise. It may then overlook the company, qualify it, or favour a competitor that made the connection explicit.
-
Reverse the direction of communications. Start with the issue the customer recognises, explain why it occurs, show how the organisation addresses it, and state what should change as a result. In its simplest form: because you face X, we do Y, which enables Z. This does not mean robotic copy, keyword stuffing or a page for every imaginable prompt.
-
A capability-led website leads with what a firm sells, such as media relations, content or stakeholder engagement, and leaves buyers to work out whether those services fit their problem. A situation-led website begins with circumstances buyers recognise, such as entering an unfamiliar market, struggling to explain a complex technology or lacking the credibility to influence a buying decision, and presents the firm’s skills as the response to that defined problem.
-
"text": "Pinpoint PR rebuilt pinpointpr.sg around the two situations its clients come to it for: entering Southeast Asia for the first time and scaling from Singapore across the region. Within three months, enquiries became more specific and better matched to its work, and more of them arrived as formal briefs. In its latest tests, AI engines returned Pinpoint PR for four of the five tracked buyer questions that do not mention it by name.
-
Pinpoint PR rebuilt an advisory client’s website around three situations its clients recognise: finding channel partners in a new market, fixing an underperforming channel, and transforming a channel business whose model no longer works. In the first month after relaunch, pageviews rose 35% month on month and pages viewed per visit increased from 1.43 to 2.48. That is an early indication that visitors are exploring the new story more deeply, not yet proof of lead generation.
-
Yes. Press releases, executive profiles, proposals, case studies and opinion pieces all need to connect the customer’s problem to the solution. Every claim should be supported by evidence, ideally recorded in a claims register of sources. Case studies are close to essential because they prove an organisation can deliver what it promises, and they should set out the starting problem, the action taken and the result rather than simply celebrate the work.
-
No. It raises the bar. Describing a customer’s problem accurately, in the customer’s own words, takes listening, sector knowledge and judgement, which a machine cannot supply. AI cannot change the oldest rule in the profession: communication starts with the audience.
