How to hire a fintech AEO consultant: 8 questions to ask before you sign

I get asked some version of this a lot: we know we need to show up in ChatGPT and AI Overviews, but how do we tell who actually knows what they're doing? It's a fair question. The term AEO is new enough that almost anyone can claim it, and fintech adds a layer most generalists haven't dealt with: every page that could get cited has to get past compliance first.

I'm a fintech AEO consultant, so I obviously have a stake in this. But these are the same questions I'd want a client to ask me, and the same ones I'd ask if I were on the hiring side. If someone can't answer them clearly, keep looking.

1. Can you show me where we're cited today, before we sign?

Anyone doing real AEO work can show you a rough picture of your current AI visibility quickly: which prompts you appear in, which competitors appear instead, and which sources the engines pull from. If the first deliverable is a months-long "discovery phase" with nothing concrete at the end, that's a sign the measurement method doesn't exist yet.

What you want to see is a benchmark across ChatGPT, Perplexity, Gemini and Google AI Overviews, with competitors named, not a generic audit template with your logo on it.

2. Which prompts are you measuring, and who picked them?

This is the question that exposes the most. A single branded prompt tells you nothing. A useful prompt set covers the full cluster a buyer goes through for each core topic: what it is, how options compare, what the alternatives are, whether it fits a specific use case, and how to buy or get started.

That structure isn't arbitrary. A 50,000-brand study of ChatGPT defined topic ownership across exactly those five prompt types, and found most brands that "show up" in one of them don't own the topic at all. Ask to see the prompt list, and ask how it maps to what your sales team actually hears.

3. How do you work with our compliance team?

If the answer is some version of "we'll send drafts to legal," they haven't worked in regulated finance. The format AI engines like most, one precise answer to one question, is exactly the kind of statement compliance teams are trained to challenge.

A good answer involves choosing topics by review risk as well as opportunity, building a library of pre-approved language for recurring claims, and turning disclosures you already publish into pages that answer engines can extract. I've written more on how compliance review changes fintech search strategy.

4. Have you worked inside a regulated financial company?

Agency experience with fintech clients is useful. Having sat inside one is different. You learn how long approvals take, who can block a page, how product and legal language actually gets agreed, and why a sensible recommendation still dies in committee. I ran SEO in-house at Refinitiv and LSEG, and most of what I know about getting content shipped in finance came from there, not from an agency.

You don't need someone with that exact background, but you do want someone who can describe your approval process back to you without being told.

5. What's your plan for the sources we don't control?

AI engines often answer financial questions using third-party pages: comparison sites, aggregators, trade press, even YouTube. When I looked at LSEG's AI visibility in 2026, Yahoo and YouTube were pulling citation counts close to lseg.com's own in its topic space. Your own site is only part of the picture.

A credible consultant will name the specific publications and platforms the models trust in your vertical, and explain how they'd earn presence there. "We'll build backlinks" isn't a plan.

6. What do you do when AI gets our facts wrong?

In finance, misinformation is the bigger risk. When we researched AI answers about EU crypto exchanges at ColdChain, Binance appeared in roughly 76% of them despite not holding a valid MiCA licence. For licensed competitors, that isn't just lost visibility. It's buyers being pointed at a provider that can't legally serve them.

Ask how they detect inaccurate answers about licences, fees, supported countries and products, and how they trace each one back to the page or profile causing it. If accuracy isn't part of their method, they're treating a regulated brand like an ecommerce store.

7. What won't you promise?

Nobody controls what ChatGPT cites. Anyone guaranteeing a placement, a fixed citation rate or "position one in AI" is either misunderstanding the systems or hoping you do. The honest version is a measurement method, a prioritised set of changes, and a reporting rhythm that shows whether share is moving.

Timelines are worth probing too. Engines that pull live results, like Perplexity and AI Overviews, can reflect changes within weeks. How a model like ChatGPT describes a whole category moves more slowly. A consultant who gives you one timeline for everything hasn't separated the two.

8. How will we know it's working?

The answer you want is topic-level citation share, tracked on a fixed prompt set over time, with the margin over your nearest competitor reported alongside it. Margin matters because leads in AI answers are fragile: in the same Semrush data, leadership that changed hands typically did so from a lead of little more than a percentage point.

Traffic from AI referrals and assisted pipeline are useful supporting numbers, but they lag. Share of answer is the leading indicator.

Red flags worth walking away from

A few patterns come up often enough to call out. Reporting built on screenshots of single prompts. An "AEO package" that is the same content calendar they sold as SEO last year, with FAQ schema added. No mention of compliance until you raise it. A strategy that ignores third-party sources entirely. And any guarantee about what an AI model will say.

Frequently asked questions

What should a fintech AEO consultant deliver first?

A baseline AI visibility benchmark: your citation share across a defined prompt cluster in ChatGPT, Perplexity, Gemini and Google AI Overviews, compared against named competitors, plus the list of sources the engines rely on. Without that baseline there is no way to tell whether later work moved anything.

Can any AEO consultant guarantee citations in ChatGPT?

No. Nobody controls what an AI model cites. A credible consultant commits to a measurement method, a prioritised set of changes and a reporting cadence, not to a guaranteed placement.

Should a fintech company hire an AEO consultant or an agency?

If you already have content production, a senior consultant who can measure AI visibility and steer strategy through compliance is usually the missing piece. If you need content produced at volume as well, an agency or a consultant backed by one makes more sense.

What experience matters most in a fintech AEO consultant?

Experience inside regulated financial companies, so they understand compliance review and YMYL trust signals, combined with a repeatable way of measuring AI citation share. Either one without the other tends to produce advice that can't ship or can't be measured.

Where this leaves you

Hiring for AEO in fintech comes down to two things: can they measure AI visibility properly, and can they get content through a regulated approval process in a form answer engines will use. Most candidates can do one. You need both.

If you want to see how I'd approach it for your company, here's how I work as a fintech AEO consultant, or send me your market and competitors and I'll run an initial benchmark.