There is a version of this person in every New Zealand town. Twenty years in the trade, clients who ring them by name, other professionals sending work their way, a drawer full of qualifications that cost real money and real years. Then someone Googles them, and they are not there. Not on page one, not anywhere that matters.
The pillar failing for that person is Trust Signal, and the clock is the minutes clock. Twenty years of proof exists, and the reader that decides who gets seen can't feel any of it, because a machine reads text as a claim, and a claim is worth nothing until it can be checked.
Trust Signal is machine-readable evidence: the structured data, the schema markup, the technical plumbing that tells Google not just what a business says about itself but what it verifiably is. Most credible people are invisible online not because the credibility is missing, but because nobody ever translated it into a format machines can read. And the machines are doing more of the reading every year.
The Accidentally Opaque Problem
The credentials are probably on the website right now. A bio somewhere says qualified financial adviser, fifteen years' experience, an MBA, a specialisation in SME tax planning, and a human reads that as proof. Google reads it as text, and text is just a claim, and the web is a landfill of claims.
Without Trust Signal, the twenty-year adviser is competing on level terms with a first-year grad who learned WordPress on YouTube, because the machine cannot see the difference a human sees in four seconds. I think of it as accidental opacity. The work was done, the proof exists, and nobody ever told the machines.
What Schema Actually Is
Schema markup is tedious, technical, and worth doing anyway.
When Google crawls a site it is trying to separate verifiable facts from marketing, to work out whether the author is qualified or merely confident. Schema is the grammar for the first category. It lets a site say this person holds a law degree from this university, awarded in this year, practising in these areas, and here is where that can be independently checked. That is not a claim anymore. It is a declaration, made in a language built for verification.
Run it across professions and the pattern holds. A financial adviser's markup can carry the registration, the years, the client types and the location, all checkable against the public register. A lawyer's can carry the admission year, the practice areas, the regions served, and whether the work is litigation or advice or both. For a tradie it is the licence, the years, and the suburbs actually covered. Declare it precisely enough and Google can see the business really operates in West Auckland rather than claiming it from somewhere else entirely. Even a restaurant gets the same treatment, cuisine and hours and price range and whether it delivers, every field checkable somewhere external. The more specific the markup, the more verifiable the claim, and the more confidently a machine will display it.
The same information sitting on a LinkedIn profile helps too, because Google trusts third-party sites more than it trusts yours, and an entry on the Law Society or Financial Markets Authority register outranks both. Schema on your own site is the next best thing to the register. It is you, declaring what you are, in the machine's own language.
The Credibility That Stays Hidden
Walk through what a typical professional services firm actually holds. Years of real work with real clients. Degrees, registrations, certifications that took study and money and time. Genuine specialisation, because nobody does everything well, and the clients arrive precisely because of the narrow thing. A location and a service region, which matter enormously, since a person searching for an Auckland lawyer wants an Auckland lawyer. And a track record of referrals and repeat clients, which is the strongest evidence of all and the least readable, because machines cannot see relationships.
The website presents all of that badly. The about page is 300 words of narrative. The credentials are buried inside case studies, which is marketing, not structured fact. The specialisations are scattered across seven pages, and the location sits in the footer, assumed rather than declared. Google sees text. It does not see structure. So the first-year graduate with WordPress and clean markup is now more discoverable than the thirty-year practitioner, not because they are better, but because they are legible.
What Strong Trust Signal Looks Like
Contrast that with a firm that has done the plumbing. Every staff member has a structured profile carrying education, credentials, specialisations and verified contact details. Every service is marked up with what it includes, what it costs and what problem it solves, and every qualification points at something external that confirms it.
To a human visitor the two websites look the same, both professional, both well designed, both mentioning credentials somewhere. To Google they are different objects entirely. One is a set of structured facts it can check against registers and display with confidence, the other is a pile of claims it has to treat as uniform uncertainty.
The display follows the difference. The structured site earns rich results, qualifications shown, ratings and review counts, open right now, distance for the mobile searcher, all of that extra real estate flowing from structured data. The unstructured site gets the standard blue link, a title and a meta description and nothing else. The person choosing between them is influenced by all that verified furniture whether they notice it or not.
When someone searches for a tax accountant in Auckland who knows construction, Google is not just matching keywords. It is looking for firms that have explicitly declared the specialisation, the city and the qualifications, in a form it can verify against external databases. A firm without schema might be equally qualified, but Google cannot prove it, so it ranks the one it can verify above the one it cannot. Trust Signal does not replace quality. It makes quality visible to machines.
Twenty Years of Silence
I have spent over ten years in NZ digital marketing, homes.co.nz and mortgagehq among the stops, and I watched this pattern from inside the finance industry. So treat the firm that follows as a composite rather than a client I am naming.
Picture an advisory firm operating since the early 2000s. Partners with degrees, designations and twenty-plus years each, real relationships, real credibility, and near-total invisibility online. People are out there searching for exactly what the firm knows, how to structure a business loan, what to do with KiwiSaver. The results serve them robo-advisers and comparison sites, with the firm on page three or absent altogether. The warm referrals still convert, but every referred lead who Googles first sees competitors first, which is a quiet tax on every introduction.
Under the hood the markup is partial and wrong. The advisers are not identified as distinct people, the services connect to nobody in particular, and the credentials sit in prose where nothing can check them. The fix is methodical rather than clever. Each adviser gets a structured profile with education, registration, specialisation and years, and each service gets its shape declared, what it includes, who delivers it, what it costs, what problem it solves. Everything points outward to data that can be verified.
Run that forward six months and the shape of discovery changes. Adviser names start appearing for the searches that matter, referred clients Google a name before the first meeting and find the person they were promised, and the enquiries that arrive have already done their checking. Same people, same qualifications, same track record. The credibility never changed. The machines just finally learned to read it.
The NZ Professional Services Pattern
That composite generalises across the country. Lawyers thirty years in, accountants who know their field cold, architects whose buildings are standing in the street outside, consultants and advisers who have steered hundreds of clients through their biggest decisions, and almost none of it machine-readable, because the plumbing was never installed. Trust Signal does not create a gram of credibility. It translates the credibility that already exists into the format the machines were always going to demand.
Trust Signal Beyond Google
Google still controls most discovery, but the ground is moving faster than most firms have noticed.
LinkedIn behaves more like a search engine every year. People go there deliberately hunting for lawyers, accountants and consultants, and its algorithm favours the profiles with structure, qualifications listed properly, specialisations marked, experience documented. Industry databases run on the same rule, where the professionals who filled in their credentials are findable and the rest are not.
Then there is AI search. Hundreds of millions of people now put their questions to ChatGPT, with Perplexity and Claude growing behind it. When someone asks one of these systems to recommend an Auckland adviser who knows KiwiSaver, it goes hunting for structured, verifiable facts, because marketing copy is exactly what it has learned to see through. A firm with clean markup is simply easier for a machine to recommend.
Treating schema as a Google tactic is thinking too small. Structured data is infrastructure, and it compounds across channels, flowing into Google's results, into LinkedIn's recommendations, into the industry databases, into whatever the AI systems read next. The referred client Googles you today, asks ChatGPT tomorrow, and checks a database the day after. One investment in legibility covers all of them, and the firms most discoverable in five years will be the ones that made that investment now.
The Referral Trap
"Our business is built on word of mouth. We don't need to worry about search."
I am sympathetic to that sentence, because I ran the business it describes. BookPrint, the book printing company I built and sold, has not spent a dollar on advertising since the sale and has kept growing on its position and its repeat customers. But the one piece of marketing I believe the new owners have taken up is Trustpilot, stacking up verified reviews, and I do not think that is a coincidence. Reviews are exactly the kind of trust a stranger, or a machine, can check.
Because referred people still Google. A friend recommends the firm, the friend goes home, and somewhere between the couch and the kettle they search the name, the profession, the city, verifying the recommendation without ever thinking of it as verification. If nothing comes back, the warmth leaks out of the referral at step one. Are these people even real, why can I not find them, was my friend actually right.
The modern referral is a two-step trust transfer, where a trusted person vouches and then a machine confirms. A referred lead who cannot find the firm online starts quietly doubting the referrer. One who finds machine-verified credentials in the top results arrives more convinced than the recommendation alone could have made them. Trust Signal does not replace referrals. It stops them leaking.
Why This Matters Most for You
The twenty years are the hard part, and if you have them, they are already banked. Nobody is asking you to reinvent yourself or to manufacture a personality for the internet. The work is translation, taking credibility that already exists and making it legible, which is why Trust Signal is the pillar with the fastest payback for a business that already has Brand and Reputation behind it.
Schema is tedious, a technical audit is unglamorous, and structured data is nobody's idea of fun. For a credentialed firm with no visibility, it is still the shortest path to being found. You do not need marketing. You need plumbing.
What To Do Next
Google your own name plus your profession, then your profession plus your city, accountant Wellington, family lawyer Auckland, whatever fits. If you are not in the first three results, your Trust Signal is broken. It is worth running the same searches on each senior person in the firm, because individual names will not surface unless markup connects the people to their specialisations.
Then get a technical audit rather than a marketing one. The question is not whether the copy is compelling. The question is whether a machine can read the credibility: is the schema present, is it correct, does it point at anything external that can confirm it. Have the markup installed properly, every qualification and registration as structured data, every service defined by what it includes, who delivers it, how long it takes, what it costs and what problem it solves. Then connect the lot to the public registers that govern your field, because machines trust external verification far more than self-description.
Do not buy a template. Find someone who has done schema for professional services specifically, since they will know which declarations actually move visibility and which are decoration. None of this requires rebuilding the site, either, because markup can be added to what already exists. The credibility is real. The remaining work is making it readable.
The longer story of learning all this, from the print floor to the finance industry, is in Marketing Curious: Working the Noise. This page is a rendering. The seed is the source. The book is the story of building it.
Learn more: The Three Clocks | Brand, the proof you make | The Algorithm | Diagnostic