Build plan · inuio.co.nz · Insurance transparency

The insurance industry counts on you not reading the policy.

Inuio becomes the Kiwi consumer's advocate in insurance: a free AI policy decoder that reveals the traps in your cover, plain-English writing on how the trade really works, and help getting quotes with your eyes open. You don't sell insurance — you put the consumer in the driver's seat, and get paid when they act on it.

01 · Why this wins right now

Distrust is at a record high — and it's front-page news

You picked the one financial category where confusion is the default state and the anger is peaking. This isn't a niche you have to manufacture demand for; the demand is screaming, and the news cycle refills your content calendar every week.

600

Insurance disputes escalated to the Ombudsman in the year to Jun 2025 — up 25%, and 2× the 2022 level

+37%

Rise in average NZ house-insurance premium since 2022 — now ~$2,815/yr

29%

Of Kiwis feel confident they even know how to complain about a financial provider

Court-proven · the "tricks" write themselves

In 2025 alone: IAG ordered to pay $19.5m for fair-dealing breaches (pricing errors, unapplied discounts); Tower ordered to pay $7m after overcharging ~61,000 customers by $11m+; Southern Cross Travel fined $1.1m for misleading discount claims. You're not alleging insurers play games — the High Court already ruled they did.

Sources: FMA / Auckland High Court rulings, 2025

Live news hook

In February 2026 the Government launched a high-powered review into soaring insurance premiums. Four in five Kiwis now say insurance is becoming unaffordable; from July 2026 Westpac shows address-level natural-hazard risk inside quotes. Every one of these is a guide you can publish and rank for while people are actively searching.

Sources: 1News Feb 2026 · IAG climate poll · Insurance Business NZ

02 · The wedge

Own comprehension, not comparison

There's already a good price-comparison player: Quashed, with 100,000+ users, monetising on insurer commission at no cost to the consumer — proof this model pays. But comparison answers "who's cheapest?" It never answers the question that actually scares people: "what am I really buying, and where will I get caught?" That question is wide open.

Don't out-compare Quashed. Out-explain everyone. Inuio is where a Kiwi understands their cover before they buy it — the trust layer the whole category is missing.

The reveal your content leads with

Most people think they're choosing between a dozen insurers. They're not. IAG (~41% share) owns AMI, State & NZI; Suncorp (~16%) owns Vero and half of AA. Two companies underwrite most of the market. "Shopping around" between three brands owned by the same insurer is exactly the kind of trick you exist to expose — and it's a killer first article.

Source: NZ P&C market-share data, 2025

03 · The hero build

The AI Policy Decoder

One free tool does all the heavy lifting: it's the lead magnet, the email capture, the shareable moment, and the reason people link to you. A user uploads their policy PDF; Claude reads all of it and hands back a plain-English Policy Health Check — the traps, ranked, in dollars and consequences.

inuio.co.nz/decode · Policy Health Check

!Underinsured by ~$140k. Your sum insured is $520k; typical rebuild for this home is closer to $660k. In a total loss, that shortfall is yours.

!Gradual damage excluded. Slow leaks and hidden water damage aren't covered — a common claim-time surprise. Here's the exact clause.

~$2,500 excess on any natural-hazard claim. Higher than three comparable policies. Worth challenging at renewal.

~"Market value", not "agreed value" on your car. The insurer decides what it's worth at claim time, not you. Ask to switch.

What it outputs

Plain-English summary — what you're actually covered for, in a paragraph a human can read.
Traps flagged by severity — exclusions, excesses, sum-insured gaps, sneaky definitions, each with the real-dollar consequence.
Underinsurance check — the single most common and most expensive Kiwi mistake, surfaced up front.
"Questions to ask before you renew" — turns the user into a confident negotiator, and sets up the quote hand-off.

Build notes. Run the analysis on Claude (Opus 4.8 for nuanced clause reasoning; Sonnet for cost at volume) with the policy PDF passed as a document — it's exactly the extract-and-explain task the model is strongest at. Two guardrails are non-negotiable: (1) frame everything as education, not financial advice — you're not a licensed adviser under the FMA/CoFI regime, so refer complex cases to advisers; (2) every output carries a "verify with your insurer" disclaimer and never states a coverage determination as fact. Ask me to spin up the Claude integration when you're ready.

04 · The content engine

"Tricks of the trade" — the SEO moat

The decoder pulls people in; evergreen guides make you rank and earn. Each one targets a real search, ends in a quote or adviser hand-off, and can be spun straight out of the news. A starter set for your first two months:

"You're not comparing 10 insurers — you're comparing 3." (the ownership reveal)
How to read a house policy: sum insured, excess, exclusions, and the words that cost you.
Market value vs agreed value: the car-insurance default that quietly favours the insurer.
Are you underinsured? How to check your rebuild figure in 10 minutes.
Risk-based & postcode pricing explained — and how to find your flood risk before the bank does.
The multi-policy "discount" that's disappearing in 2026 — what to do instead.
Your claim was declined. Here's how to fight it (and take it to the Ombudsman for free).

05 · How it earns

Get paid when the consumer acts — never by them

Revenue line	How it works	Value	Start
Quote referral / affiliate	Commission when a user buys via a partner insurer or platform — same price to them (the Quashed model)	High	Phase 1
Adviser / broker lead-gen	Qualified enquiries for complex cover (house, life, business) sold to advisers who pay per lead	High	Phase 2
"Powered by" sponsorship	A trusted partner sponsors the decoder or a guide (MoneyHub model)	Medium	Phase 3
Display on guides	Ad units once organic traffic compounds	Low	Later

Trust is the entire product here, so monetise it the way MoneyHub does: disclose commercial relationships openly and never let a payout skew the advice. The decoder's honesty is the marketing.

06 · The plan at ~1 day / week

~12 working days over 90 days

Weeks 1–3 · Clear the decks & validate

Reframe the site and prove the traffic

Retire the Xero apps from the site (or park them) — they're incongruent with a consumer insurance brand.
New homepage: "Insurance, decoded — put yourself in the driver's seat." Analytics with intent events.
Apply to insurance affiliate / quote-referral programmes and 1–2 adviser referral arrangements.
Publish the two strongest "tricks" guides (the ownership reveal + how to read a house policy) to test ranking and clicks.

Weeks 4–8 · Build the decoder MVP

Ship the free AI Policy Health Check

Upload PDF → Claude analysis → Policy Health Check report, gated by a light email capture.
Start with house & contents (highest pain, highest premium, clearest underinsurance story); add car next.
Wire the report's "get a better quote" and "talk to an adviser" hand-offs to your Phase 1 partners.

Weeks 9–12 · Compound & monetise

Content cadence + first real revenue

One new guide per week, each riding a live premium/claim news story into the decoder.
Measure decoder → quote conversion; sign your first per-lead adviser deal or "powered by" sponsor.
Build an email list from decoder users — renewal reminders are a recurring, high-intent re-engagement hook.

07 · Watch-outs

Three things that could bite

Advice vs information. Stay firmly on the education side of the FMA/CoFI line. You inform and empower; you don't recommend a specific policy for a specific person. Advisers handle that — and pay you for the lead.
AI accuracy & liability. The decoder must never assert coverage as fact. "Here's what the clause appears to say — confirm with your insurer" is the tone. Log inputs, keep disclaimers visible.
Quashed is ahead on comparison. Don't rebuild their market-scan and lose. Win the comprehension lane, and treat them as a possible affiliate partner, not just a rival.