Evidence · Home and contents insurance

Every question, every answer, every source

Explore all 372 home and contents insurance questions and the 1,476 answers saved on 11 October 2026. Read the original responses and download the tables behind the study’s comparisons, sources, sentiment and factual checks.

questions
372
answers saved, of 1488 planned
1476
consumer situations
12
named regions
16
AI platforms
4

01

Every question, with its answers

Each question went to the four AI platforms. All were collected with a New Zealand setting. Open a question to read every captured answer in full.

Showing 20 of 372 questions

02

The tables behind the study

Every figure on the study page comes from these tables. They are CSV files, which open in any spreadsheet.

  • Questions

    questions.csv

    One row per question, with its exact saved wording.

    Question ID, source references, question, consumer situation, named regions, question group and collection setting

  • Answers

    answers.csv

    One row per captured answer, with its full text.

    Answer ID, question ID, platform, collection setting, consumer situation, named regions and full answer

  • Sources by answer

    sources.csv

    One row per website recorded as a source of an answer.

    Answer ID, question ID, assistant, collection setting, website and publisher type

  • Checks against primary sources

    checks.csv

    One row per stated assertion checked, for one platform.

    Check, question and answer IDs, assistant, exact passage, verdict, primary-source finding, URL and date

  • Consumer recommendation coding

    consumer-recommendation-coding.csv

    One row per reviewed provider role in a consumer-selection answer.

    Answer ID, question ID, consumer, platform, provider, role, counted recommendation, exact passage and conditions

  • Consumer selection membership

    consumer-selection-membership.csv

    One row per answer in the matched consumer-selection comparison.

    Answer ID, question ID, consumer, platform, question group and full text; twelve home and twelve contents selection questions, with missing captures preserved

  • Ongoing support coding

    support-coding.csv

    One row per reviewed named-provider role in an eligible support answer.

    Answer ID, question ID, consumer, platform, provider, role, support-preference decision and exact passage

  • Ongoing support membership

    support-membership.csv

    One row per answer in the actual consumer-support group.

    Answer ID, question ID, consumer, platform, question group and full text; acquisition validation is excluded

  • Regional recommendation coding

    regional-recommendation-coding.csv

    One row per reviewed provider role in a region-named selection answer.

    Answer ID, question ID, named consumer region, platform, provider, recommendation decision and exact passage

  • Regional selection membership

    regional-selection-membership.csv

    One row per answer in the matched regional comparison.

    Answer ID, question ID, named consumer region, platform and equal-comparison membership; four home and three contents platform answers per region

  • Insurer sentiment

    insurer-sentiment.csv

    One row per unique saved claim about an insurer in a selection answer.

    Claim, question and answer IDs, insurer, saved stance, exact passage and original-answer offsets

  • Recorded source URLs

    source-urls.csv

    One row per recorded answer, website and URL association.

    Answer ID, question ID, platform, website, URL, source records and presence in the captured answer text

  • Matched consumer platform membership

    platform-membership.csv

    One row per answer in the identical-question platform comparison.

    Answer ID, question ID, product, consumer and platform; 22 identical questions per platform

  • Matched regional platform membership

    regional-platform-membership.csv

    One row per answer in the identical-question regional platform comparison.

    Answer ID, question ID, product, region and platform; 31 identical questions per platform

Use these tables to trace findings back to the original questions and answers. The full text of each answer is also on this page, under its question.

ChatGPT · New Zealand

When comparing contents insurers, what verifiable evidence, if any, exists about settlements, complaints and consumers receiving appropriate replacements—and what can't we infer?

New Zealand contents insurance: what the evidence actually tells us

There is verifiable evidence about insurance complaints, customer satisfaction, policy entitlements and how claims can be settled in New Zealand. There is much less publicly available evidence showing, insurer by insurer, whether customers actually received fair settlements or appropriate replacement goods.

The key distinction is between what an insurer promises in its policy, what customers report about their experience, and what happens when an individual claim is assessed or disputed. These are different measures, and they should not be treated as interchangeable.

1. What evidence is available?

Policy wording and settlement terms

Direct evidence of entitlement

Policy documents specify whether an item qualifies for replacement, repair or a depreciated-value payment, along with exclusions, limits and conditions. This is the most direct evidence of what an insurer is contractually required to provide in a particular situation, but it does not establish how consistently that promise is delivered in practice. How to get the best house and contents insuranceHouse & Contents Insurance: Sum Insured Explained

External complaints and dispute decisions

Evidence of disputed outcomes

New Zealand publishes data about personal insurance complaints decided by external dispute resolution schemes. Individual decisions can reveal whether a particular settlement or claim-handling decision was fair. Aggregate statistics are useful, but they do not tell us the full story of ordinary, undisputed claims. How to Make an Insurance Complaint (NZ)Resolving disputes and claims

Consumer satisfaction surveys

Evidence of reported experience

Consumer NZ surveys provide evidence about customers' reported satisfaction with insurers. They are valuable for comparing perceptions of service, but satisfaction alone cannot prove that a customer received the correct replacement item or the full amount owed under a policy. House and contents insuranceConsumer reveals the best and worst insurance providers

2. What the published complaints figures show

The Insurance Council of New Zealand (ICNZ) publishes complaints data from external dispute resolution schemes. The latest annual figures I found are for 2025, in its Annual Review 2025. Fair Insurance Code

New Zealand general insurance industry · 2025

1.31m

Claims received

28,033

Complaints referred to internal dispute resolution

603

Complaints referred to external dispute resolution schemes

16

Complaints recorded as upheld against insurers in the published summary

Source: ICNZ Annual Review 2025. Industry-wide figures, not contents-only statistics.

The report also records 41 externally referred complaints settled and 22 partially upheld against insurers. These are separate categories in the published summary. Fair Insurance Code

What this establishes: formal disputes do reach independent schemes, and some are resolved or upheld against insurers.

What it does not establish: that the other claims were handled correctly, that customers received suitable replacements, or that an insurer with fewer complaints is necessarily fairer.

There are several important qualifications:

  • The figures cover multiple insurance products. They include personal and other general insurance activity, not just contents insurance.
  • External complaints are a selected group. Many issues are resolved internally, while other dissatisfied customers may not complain or pursue a dispute.
  • The numbers are not a clean performance ranking. Insurers differ in size, claim volumes, product mix and the types of claims they handle.
  • A complaint outcome is not the same as a replacement-quality assessment. A dispute might concern exclusions, delays, communication or valuation rather than the quality of an item supplied.

ICNZ itself cautions that insurer claim volumes differ and that this context matters when interpreting complaint counts. How to Make an Insurance Complaint (NZ)

For a fair comparison, we would ideally want contents-only complaint rates per 1,000 claims, the nature of the dispute, the final outcome and the amount or remedy provided. The headline industry figures do not provide that complete picture.

3. What do we know about customers receiving appropriate replacements?

This is where the evidence becomes more limited.

New Zealand policies can provide replacement cover, indemnity cover, or a mixture depending on the item and circumstances. Under replacement cover, an insurer may replace an eligible item with a new one or repair it to an as-new condition, subject to policy conditions. Indemnity cover generally reflects the item's value immediately before the loss, including depreciation. House & Contents Insurance: Sum Insured ExplainedHow to get the best house and contents insurance

A replacement dispute can involve several different questions:

  • Was the original item covered?
  • Did the policy promise a new replacement or only its depreciated value?
  • Was the replacement genuinely equivalent in function, quality and relevant features?
  • Was the item subject to a special limit or age restriction?
  • If a suitable replacement was unavailable, was the cash settlement calculated correctly?

These questions require evidence about the individual claim, not simply an insurer's overall reputation.

For example, AA Insurance's published explanation of its contents claims process says eligible items may be repaired or replaced, while certain categories, such as clothing and footwear, may be settled at market value. This illustrates why the details of the policy and the type of item matter; it does not establish that AA's actual settlements are consistently better or worse than those of other insurers. How will my contents insurance claim be settled?

Evidence that is useful — and evidence that is missing

Evidence What it can establish What it cannot establish alone
Policy wording The contractual replacement entitlement and exceptions Whether the insurer honoured it
Individual claim records What was lost, offered, supplied or paid Whether the result is representative of all customers
Independent dispute decisions Whether a particular disputed decision was fair The rate of poor outcomes across all claims
Customer satisfaction surveys How respondents felt about their insurer Whether replacement goods were objectively equivalent
Online reviews and anecdotes Possible recurring problems worth investigating The frequency or prevalence of those problems

I found examples of public consumer research into claims experiences, but not a comprehensive, independently verified, nationwide dataset that measures the suitability of replacement goods by contents insurer.

That is an important evidence gap. It is not proof that insurers provide poor replacements, nor proof that they provide good ones.

4. What do customer satisfaction surveys tell us?

Consumer NZ's February 2026 report, based on its survey conducted at the end of 2025, found that overall satisfaction with house, contents and health insurance had recovered to levels seen in 2021–22. It also reported that smaller providers were leading on satisfaction, while larger providers lagged. Best and worst insurance companies in New Zealand

Its earlier 2025 report highlighted FMG, with 78% overall satisfaction for contents insurance, and MAS for house insurance, with 76% satisfaction. Those are dated survey results, not current claims-settlement success rates. Consumer reveals the best and worst insurance providers

There is also a useful example of why satisfaction measures need careful interpretation. In research following the Auckland Anniversary Weekend floods and Cyclone Gabrielle, Consumer NZ reported dissatisfaction with communication, claim speed and the help received, even though respondents were generally very satisfied with the fairness of their settlements. The survey involved a small number of affected customers and focused on disaster-related claims, particularly house claims. It cannot establish how contents claims generally perform. Cyclone Gabrielle floods: Insurers leave customers dissatisf

The distinction is important: an insurer can communicate poorly while ultimately paying a fair settlement. Equally, a customer can report a positive experience without the survey independently verifying that every item was replaced correctly.

5. What can and cannot be inferred when comparing insurers?

Reasonable conclusions

  • An insurer's policy wording can be compared against the protection you need.
  • Published dispute decisions can demonstrate particular instances of unfair or contested claims handling.
  • Satisfaction surveys can identify differences in customers' reported experiences.
  • Repeated, independently documented problems with the same type of settlement can justify closer scrutiny.

Conclusions the evidence does not justify on its own

  • That the insurer with the fewest complaints has the fairest claims process.
  • That a high customer satisfaction score means replacement goods are consistently appropriate.
  • That an insurer which loses a dispute routinely treats customers unfairly.
  • That an absence of published complaints means there are no underlying problems.
  • That any insurer is definitively the best for actual contents claim settlements without comparable outcome data.

6. How to make a more evidence-based choice

For a meaningful comparison in New Zealand, I would prioritise these sources:

  1. Consumer NZ's house and contents comparison — compare policy coverage, excesses, limits and customer satisfaction.
  2. ICNZ complaints data — examine formal dispute outcomes, while accounting for claim volumes and the fact that the data covers multiple insurance lines.
  3. The insurer's current policy wording — look for replacement versus indemnity cover, age restrictions, special item limits and how cash settlements are calculated.
  4. Published decisions from the Insurance and Financial Services Ombudsman Scheme — look for cases involving valuation disputes, unsuitable replacements, disputed cash offers or failures to follow policy wording.

When asking an insurer about its claims record, the most revealing questions would be whether it tracks replacement disputes, how often customers challenge proposed replacement items, how often those challenges change the outcome, and whether it publishes independently verifiable results.

Those measures would be much closer to the question of whether customers receive appropriate replacements than general satisfaction ratings or raw complaint counts.

Bottom line

New Zealand has useful evidence about policy entitlements, consumer satisfaction and formal complaints, but these sources do not provide a complete, comparable measure of whether each contents insurer consistently delivers fair settlements and suitable replacement goods.

The strongest conclusion is therefore not that one insurer necessarily settles claims better than another. It is that consumers can compare contractual protection and some aspects of customer experience, while the quality and consistency of actual replacement outcomes remain much harder to verify publicly.

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Captured 11 October 2026

Gemini · New Zealand

When comparing contents insurers, what verifiable evidence, if any, exists about settlements, complaints and consumers receiving appropriate replacements—and what can't we infer?

When comparing contents insurers in New Zealand, looking closely at what verifiable data exists—and distinguishing it from what cannot be reliably measured—helps cut through marketing claims.


1. Verifiable Evidence That Exists

Hard evidence regarding insurance settlements, complaints, and replacement practices comes primarily from independent external dispute resolution schemes, regulatory reporting, and industry codes:

  • External Dispute Resolution (EDR) Data: Schemes like the Insurance & Financial Services Ombudsman (IFSO) and Financial Services Complaints Ltd (FSCL) publish annual reports and case studies. Their data tracks the exact number of complaints accepted, the types of disputes (e.g., declined contents claims, payout quantum disagreements, settlement delays), and how many were resolved in favour of consumers or settled via conciliation.
  • The Fair Insurance Code: Most major New Zealand insurers are signatories to the Fair Insurance Code (overseen by the Insurance Council of New Zealand). This code sets verifiable, enforceable service standards—such as acknowledging claims within 5 business days and deciding whether to accept or decline a claim within 10 business days of having all necessary information. Breach metrics can sometimes be audited or surfaced through compliance reporting.
  • Internal Dispute Resolution (IDR) Metrics: Insurers are legally required to maintain internal complaints processes and track dispute volumes, though public reporting on internal metrics varies by company unless requested via regulatory channels.

2. What We Can't Infer (The Blind Spots)

Despite available dispute data, several critical aspects of insurer performance cannot be reliably inferred or quantified:

  • Total Claim Acceptance vs. Decline Rates per Insurer: New Zealand does not mandate a standardized public database showing the exact percentage of contents claims approved versus declined for every provider. A low volume of ombudsman complaints does not automatically mean an insurer has high customer satisfaction; it can sometimes mean they settle disputes aggressively behind closed doors or that consumers give up before escalating.
  • The True Quality of "Appropriate Replacements": While policies state whether items will be replaced on an "new for old" or indemnity basis, verifiable data on whether consumers are genuinely satisfied with the quality, speed, or matching of replacement items (such as specific clothing brands, electronics, or furniture sourced via preferred supplier networks) is largely anecdotal. Public metrics rarely track whether a replacement item met a policyholder's subjective standards.
  • True Processing Speed Averages: While the Fair Insurance Code sets maximum procedural timeframes, aggregate data on how long a typical, straightforward contents claim takes from lodgement to final payout across different brands is not uniformly or transparently published.

Summary Checklist for Evaluating Insurers

Verifiable Data Source What It Tells You What It Does Not Tell You
IFSO / FSCL Annual Reports Which insurers face external dispute escalation and what issues trigger formal complaints. The total volume of minor grievances resolved privately or abandoned by frustrated customers.
Fair Insurance Code Compliance Whether an insurer adheres to baseline service standards and communication timeframes. The subjective quality of customer service or ease of dealing with individual adjusters.
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Captured 11 October 2026

AI Overviews · New Zealand

When comparing contents insurers, what verifiable evidence, if any, exists about settlements, complaints and consumers receiving appropriate replacements—and what can't we infer?

AI Overview

When comparing contents insurance providers at the national level in New Zealand, the landscape of verifiable evidence is strictly divided between broad industry metrics and opaque individual performances. Knowing what data exists—and what is missing—prevents making false assumptions when selecting a policy.

What Verifiable Evidence Exists?

You can access concrete data regarding overall market satisfaction and high-level dispute categories, though it rarely drills down into individual company settlement specifics:

  • General Customer Satisfaction Standings: The most direct evidence comes from third-party independent studies, such as the annual Consumer NZ Insurance Satisfaction Survey. For instance, mutual or niche insurers like FMG and MAS consistently rank highest in overall customer satisfaction for contents and house policies, while major retail bank-branded insurance programs typically score below the market average.

  • National Complaint Escalation Trends: Both the Insurance & Financial Services Ombudsman (IFSO) Scheme and Financial Services Complaints Limited (FSCL) publish annual reports documenting record-high consumer dispute inquiries. These reports outline macro trends—proving that house, contents, and motor vehicle claims generate the vast majority of general insurance disputes.

  • Common Dispute Triggers: Industry-wide evidence clearly ranks the specific catalysts for contents disputes. The IFSO Scheme Annual Reports highlight that the core friction points are consistently driven by a lack of clarity around policy terms like "gradual damage," "sum insured" definitions, and strict exclusions regarding lost or stolen luxury items (such as jewelry or electronics).

  • Regulated Codes of Conduct: Under the Conduct of Financial Institutions (CoFI) regime and the Insurance Council of New Zealand (ICNZ) Fair Insurance Code, member insurers are legally audited on how they format internal complaints timelines, ensuring a paper trail exists if a claim is escalated.


What Can't We Infer?

A lack of granular reporting means certain assumptions cannot legally or logically be made when shopping for a policy:

  • Individual Settlement Ratios: You cannot infer a provider's likelihood to payout based on marketing or generic satisfaction surveys. Insurers do not publicly publish the exact percentages of contents claims they approve versus those they decline.

  • The Speed or "Fairness" of Replacements: Because contents insurance heavily relies on whether you have a "new-for-old" policy or an "indemnity value" (current market value) policy, you cannot infer how smoothly a replacement will go without reading the fine print. Ombudsman data doesn't track whether a consumer received an exact "appropriate replacement" or an alternative voucher option.

  • Direct Correlation Between Premium Price and Payout Ease: A higher premium does not guarantee a smoother claims process. In fact, IFSO data notes that recent severe premium hikes have simply driven up consumer expectations, leading to a rise in complaints when standard, restrictive policy definitions are applied during a claim.

  • External Resolution As An Accurate Reflection of Fault: If an insurer has a higher number of complaints listed with the IFSO or FSCL, you cannot automatically infer they are an inferior provider. The ICNZ points out that out of millions of claims made annually, only a tiny fraction reach external schemes, and a high volume can simply reflect a massive market share rather than poor business ethics.


If you are looking to narrow down your options, could you tell me if you are looking for renters/tenants cover or an owner-occupier policy? Also, let me know if you have specific high-value items—like jewelry or specialized electronics —that you need to protect.

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Captured 11 October 2026

Google AI Mode · New Zealand

When comparing contents insurers, what verifiable evidence, if any, exists about settlements, complaints and consumers receiving appropriate replacements—and what can't we infer?

When comparing contents insurers in New Zealand , looking at verifiable evidence helps separate concrete performance metrics from marketing or assumptions.

What Verifiable Evidence Exists

  • Consumer Satisfaction Surveys: Independent organizations like Consumer NZ run regular, nationally representative sentiment and satisfaction surveys. These provide empirical data on how members or customers rate their insurers regarding communication, claim processing, value, and overall satisfaction.

  • External Dispute Resolution (EDR) Data: Schemes like the Insurance & Financial Services Ombudsman (IFSO) Scheme or Financial Dispute Resolution Service (FDRS) publish data and case notes on formal complaints that reach a deadlock. These reports detail specific policy clauses, dispute types (such as item valuation or replacement cost disagreements), and final determinations.

  • Financial Strength Ratings: Insurers in New Zealand are legally required to maintain and display an official credit rating (such as from AM Best or Standard & Poor's) indicating their capacity to pay claims.

  • Policy Wording Definitions: Contractual definitions of "replacement," "indemnity value," or "new for old" are explicitly stated in each insurer’s publicly accessible policy documents.

What We Can't Infer

  • Individual Claim Outcomes from High-Level Satisfaction: High overall satisfaction percentages for an insurer do not mean every single claimant received a smooth payout or replacement, nor does a low score mean every claim fails.

  • Volume Equivalence in Ombudsman Data: A higher raw count of complaints for a major insurer compared to a smaller boutique provider cannot be directly inferred as worse performance; larger insurers insure a substantially higher volume of households and policies, meaning total dispute ratios must be normalized.

  • Future Claim Experience from Past Marketing or Awards: Winning a consumer choice award in a given year does not guarantee that supply chain delays or specific replacement item sourcing will favor a future claim identically.

  • Universal Replacement Quality: Marketing claims of "new for old" cannot be inferred to mean an identical brand/model replacement, as insurers retain contractual clauses regarding equivalent quality, obsolescence, or preferred supplier networks.

If you'd like, I can:

  • Detail how the Insurance & Financial Services Ombudsman (IFSO) Scheme handles deadlock resolution
  • Break down what specific metrics Consumer NZ evaluates for contents policies

Let me know what aspect you'd like to explore further.

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Captured 11 October 2026