Be the fintech ChatGPT trusts enough to name.

Often yes, and we will tell you which side of the line you are on before any budget is committed. OpenAI approves advertisers in financial services case by case as the category rolls out, the pilot has admitted financial brands including Robinhood and BestMoney, and approvals in finance are handled one advertiser at a time through manual review. We prepare the verification and the application, and we build the organic answer layer in parallel so your brand is gaining ground either way.

It sits at the front, where it belongs, and it makes the work better rather than slower. Before anything is written we agree the claim library with your compliance team: what can be said about rates, returns, eligibility and protections, and in what words. Every ad and every page then goes through your reviewers before it is submitted to the platform, with version history kept so an examiner can see exactly what ran and when. Teams who have been burned by agencies inventing claims tend to find this the reassuring part.

They overlap, and that is an advantage rather than a problem. Classic search rewards a page that ranks; an assistant rewards a page it can quote accurately, which for a regulated product means unambiguous fees, stated eligibility, verifiable licences and structure a model can parse. Much of that work lifts both surfaces at once. What is genuinely new is prompt auditing, citation tracking across several assistants, and the paid placements themselves, which behave differently from a search auction.

With a fixed prompt set and a repeatable test. We agree the questions a prospective customer would genuinely ask about a product like yours, run them across ChatGPT, Gemini and Perplexity on a schedule, and record whether you appear, what is said about your fees and terms, and which sources the answer is built from. That gives a baseline and a monthly trend line. Alongside it we tag assistant referrals in analytics, so the qualitative picture and the application count are checked against each other.

A fixed monthly fee for the work, quoted after the audit rather than off a rate card, plus whatever media budget you approve separately and pay directly. We set the target against your own economics, not an average, because averages are useless here: reported fintech CAC spans $50 to $14,772 depending on the product. We agree a target cost per funded account or approved application in month one and report against it every month.

In our experience they are better informed and more decisive, which cuts both ways. They arrive understanding the product category, having already discarded providers whose terms read evasively, and they expect straight answers on fees. That suits a fintech with a clean fee page and hurts one without. On the B2B side the effect shows up in cost per qualified lead rather than volume — a sales-ready B2B fintech lead runs around $490 across paid channels, and a pre-educated prospect converts further down that curve.

It changes the regulatory process, not the opportunity. FINRA Rule 2210 governs communications with the public, including which retail communications must be filed with the Advertising Regulation Department and when, so we build the campaign calendar around your filing obligations instead of discovering them halfway through. Assets are written to your supervisory procedures, principal approval is captured before anything is submitted to the platform, and records are kept in a form your examiners can follow.

Citation movement usually appears within one to three months of the first content going live, because assistants re-crawl and re-rank sources faster than classic search settles. Paid placements, where eligibility allows, produce data in days but need a few weeks before the numbers mean anything. A stable, predictable flow of applications from ChatGPT ads is a six to twelve month proposition, and we agree the leading indicators up front so nobody is waiting in the dark.

That is one of the first things we look for, and it is fixable. Assistants misstate a fee or a limit when the clearest source on the internet is an outdated review site rather than your own documentation. The fix is to publish the authoritative version in a form a model prefers to quote, correct the third-party sources that are actually being cited, and re-test the prompt set until the answer is right. We track it as a metric in its own right, because an inaccurate mention costs more than no mention at all.

It will, and the plan is built for that. The answer-layer content is yours and keeps working across every assistant and classic search regardless of what any one platform decides about advertising. The media side is deliberately flexible: small tests, monthly commitments, nothing that depends on one placement type surviving. We track the ad policy pages and changelogs weekly and tell you what changed and what it means for your product, in the monthly read.

Alongside, not instead, and the split should follow the evidence rather than the excitement. Search and paid social still produce the bulk of acquisition for most fintech brands. What is changing is the layer above them: a billion weekly ChatGPT users, a fifth of them showing commercial intent. We usually recommend keeping the existing programme funded, adding a measured position here, and letting cost per funded account decide the balance over the following two quarters.

Early stage is arguably the best moment, provided the product is live and the fee terms are settled. The answer layer rewards whoever publishes the clearest explanation of a specific problem, and in a young category that is frequently the newest company rather than the largest one. We scale the work down honestly: a tighter prompt set, a handful of pages on the questions your first customers actually asked, no media until eligibility is confirmed, and the same reporting so you can see whether it is paying before you commit more.

Ask four questions and the field thins quickly. First, what is their read on your eligibility — anyone promising a launch date before reviewing your category has not read the policy, since finance advertisers are approved manually, case by case. Second, who owns the ads account and the material: it should be you, always. Third, what does their targeting and measurement strategy look like beyond impressions — ask to see a sample monthly report and check whether conversion is tracked to a funded account. Fourth, will a named senior marketer work on the account, or a junior team behind a ticket queue. A clear, specific answer to all four is rarer than it should be.

Less than most teams expect, and we are direct about it in week one. We need a named owner on your side who can get a decision made, an hour each with a product person and a compliance reviewer, access to your analytics and tag manager, and your existing claim library if one exists. We handle the platform account, the verification paperwork, the creative, the contextual targeting setup and the tracking build. Where you already run Google or paid social with another partner, we work from their conversion definitions rather than inventing competing ones, so the numbers reconcile instead of arguing.

Partly, and it is worth being precise rather than optimistic. A recommendation the model generates itself carries far more weight with a user than an advertisement placed beside it, which is exactly why we treat the free, organic citation as the primary asset and the paid placement as amplification. The commercial context is genuinely strong — a fifth of a billion weekly users show commercial intent — but a brand that buys placements while the same assistant describes its fees inaccurately is paying to accelerate a bad impression. Fix the answer first, then buy.

Yes, and the numbers get more honest when one team holds them. Our AI search, paid search and analytics specialists work from the same plan, so a funded account is attributed once instead of claimed by three suppliers. Hiring us for this channel alone is equally fine — we document the setup and leave every account open in your name.