The state of financial AI distribution today

Last updated: 24 August 2026

There are two kinds of finance app on ChatGPT, and only one of them matters for distribution.

The first kind gives you data. Market feeds, dashboards, accounting queries, credit analytics, FinOps tooling. Useful, but you cannot buy anything through them.

The second kind sells. You can get a quote, start an application, compare real offers, or reach the person who completes the sale. This is distribution, and it is the part of the app store that changes how financial products reach customers.

We pulled the public registry of finance apps live on ChatGPT, sorted every one into those two buckets, and then did something we have not seen anyone else do: we read the full list of tools each distribution app publishes, so we could say what these apps can actually do rather than how many there are.

128 of them are distribution apps. 74 are insurance.

Insurance is over half the field

Insurance is more than mortgage, lending, banking, tax and investing put together. The full split by business model:

Note that insurance comparison marketplaces sit in the comparison row by business model but count as insurance by product. Counting insurance by business model alone would undercount it by 17.

The category is notably international and spans motor, home, pet, travel, life, bicycle, funeral, taxi, personal-guarantee and commercial cover. That long tail of specific products is the telling signal. This is not two big players testing a channel. It is a broad set of insurers, brokers and comparison sites all arriving at the same conclusion at roughly the same time.

It went vertical in May

For most of the past year new distribution apps trickled in. Two were live in December. Thirty-five by the end of April. Then May added 34 on its own, and the running total has climbed steadily since: 69, 90, 115, 128.

Two things are worth pulling out of that curve.

The first is that May’s surge was only half insurance. Sixteen of the 34 were insurance; the other eighteen were mortgage, banking, lending and tax. Insurance leads the field cumulatively but did not drive the inflection on its own.

The second is that the pace has not dropped. June added 21, July 25, and August is on 13 with a week to run. Whatever friction was holding financial companies back came down in the spring and has stayed down.

Most of the “insurers” are not insurers

Zoom into the 74 insurance apps and split them by who actually holds the risk.

Only 17 of the 74 underwrite what they sell, and 14 of those 17 are established insurers. Meanwhile, of the 57 apps that do not carry the risk, 41 are challenger brands.

So the value chain has split cleanly along the channel. Legacy money is turning up as carriers. New money is turning up as distribution. Two different bets on the same surface, and you can see which side each company thinks it can win.

One caveat: a company’s licence status is not always in an app’s description, so treat the carrier count as a floor. The shape holds either way.

Almost nobody prepares the next step

Here is the finding that matters most if you are thinking about building one.

Buying is not available inside ChatGPT. No app in the set publishes a tool that takes payment or binds cover, and that is a platform fact rather than a failing of these companies. So the useful question is not whether an app can complete a sale. It is how well it prepares the step that follows.

By that measure, 71 of the 74 insurance apps do nothing at all. They return a price and stop.

Three do more:

• Insurify collects a full consented application, records the consent, and submits it to carriers to return their real quotes.
• Nomad Assurance builds the cover, lets the customer add or remove optional products, then captures subscriber and traveller details so they are pre-filled at payment.
• InsurConnect matches the customer to a licensed agent and hands over the lead. Its directory covers Texas.

That is the entire list.

To be precise, because it matters: many of these quotes are real. Nine apps submit a genuine request to insurers and return live carrier prices rather than an estimate. Seguro Match submits to multiple insurers through Codeoscopic. GoCompare returns real provider results. The gap is not the quote. It is everything after it.

Precise on price, silent on the product

The tool lists reveal a lopsided investment.

On pricing, 13 of the 74 insurance apps look the customer’s risk up in real data rather than accepting what was typed: a licence plate resolved to a vehicle, a postcode or cadastral reference resolved to a property, a company number resolved in Companies House, an address geocoded and scored for natural risk. That is genuine underwriting infrastructure exposed through a chat interface.

On the product itself, almost nothing. Only 9 publish a tool that can surface the actual policy wording. 38 can describe cover at a summary level. 27 expose no tool about cover at all.

So an app is far more likely to price you accurately than to tell you what you would be buying. That is worth sitting with, because the price is the easy part to automate and the cover is the part a customer actually needs explained.

One nuance in fairness to the apps: for some, the silence is deliberate. Neptune Flood’s tool instructions explicitly forbid it from interpreting policy language or deciding whether a specific loss would be covered, and require it to offer a licensed agent instead. That is a compliance guardrail, not neglect, and some of the 27 are likely the same.

It is not a US story

The single largest market is the US at 49 of the 128 apps, and nothing else is close. But add Europe up and it comes to 56 across 13 countries.

In insurance specifically it is 39 in Europe against 24 in the US. 25 countries have at least one distribution app, and three more apps operate across borders. A market map that starts and ends in the US is looking at roughly a third of the field.

One limit worth naming: the registry records a country per app, not a region within it, so a state-level view of the US is not available from this data. Of the US apps, almost none name the states they serve.

What the landscape actually tells you

Put the picture together.

Financial distribution on ChatGPT is real, it is already mostly insurance, most of those “insurers” do not carry their own risk, Europe is a bigger block than the US, it inflected in May and has not slowed, and it is frictionless at the top (84% require no login) but almost entirely undeveloped after the price.

The market has crossed the first threshold. Being live is no longer the differentiator, because 128 apps are live and more arrive every week.

The second threshold is depth, and the field is wide open there. Everything past the price is barely built: how well the handoff works, whether the app holds a real conversation, whether it stays compliant while it sells. Nor is anyone measuring which conversations turn into customers.

That gap between “we shipped a quote” and “we run the funnel” is where the next year of this market gets decided.

This is the problem WaniWani works on: the distribution app itself, plus the analytics to measure the funnel from discovery to lead, plus compliance monitoring as the rules catch up. We have been testing these apps one by one and scoring them on product depth, compliance and conversation quality, and we will publish those scores shortly.

One deliberate scope limit: this is ChatGPT only. The same registry covers Claude (208 finance apps) and Codex (19). Claude has a single app in an insurance category and it is claims operations, not distribution; Codex has none. Insurance distribution inside AI assistants is, for now, a ChatGPT story.