Is ChatGPT Recommending Your Competitor? AI Visibility for Financial Planners

29 August 2026·6 min read

Quick answer: People are increasingly asking ChatGPT, Perplexity and Google's AI Overviews things like "how do I find a good financial planner in [suburb]" or general finance questions, and those tools cite specific sources when they answer. You can check right now what AI tools currently say about your practice, then improve your odds with clear FAQ-style content and detailed adviser bio/credential pages — but this space is still evolving fast and no result is guaranteed or quick. 🚀

Please note: general information, not financial or tax advice — check current official guidance (ATO, ASIC, or your professional body) before relying on it.

Ask ChatGPT "how do I choose a good financial planner in Australia" and it'll give you a structured, confident answer — credentials to look for, questions to ask, red flags to avoid — often without naming a single specific practice, because generic advice-style queries tend to get generic answers. But ask something more specific, like "financial planners in [suburb] who specialise in SMSF," and increasingly these tools do pull in named practices, usually ones with clear, well-structured web content that directly answers the question being asked. 💖 Most financial planning practices have never actually checked what AI tools say when someone searches for their name, their specialty, or their suburb — and a surprising number are either invisible in these results or, worse, have a competitor showing up in their place because that competitor's website happens to be structured more clearly.

What most financial planning practices get wrong

The first mistake is simply never checking. AI visibility isn't something you can infer from your Google rankings — a site can rank well in traditional search and still be completely absent from AI-generated answers, because these systems weight content structure and clarity differently than classic SEO does. The second mistake is unstructured content — a services page written as flowing marketing prose ("At [practice], we believe in holistic wealth") gives an AI model nothing clean to extract and cite, whereas a clearly formatted FAQ ("What does an SMSF specialist adviser do?" followed by a direct, well-written paragraph answer) is exactly the shape these tools favour when pulling in source material. The third mistake is thin or missing adviser bio pages — no credentials, no specialisations listed clearly, no authored content under a named adviser's byline — which means there's no clear "who is this person and what are they qualified to say" signal for a model to latch onto when a query is about trust and expertise, which nearly every financial advice query implicitly is.

Steal this: a 10-minute AI visibility audit you can run today

Ask ChatGPT, Perplexity and Google (via AI Overviews, where shown) three queries: "financial planners in [your suburb/region]", "best financial planner for [your specialty] in [region]", and your practice name directly.
Note whether you're mentioned at all, whether a competitor appears instead, and — where a source link is shown — click through to see exactly which page on their site is being cited.
Look at that cited page's structure: is it FAQ-formatted? Does it have a clear, named author with credentials? That's the pattern to replicate on your own site.
Repeat the audit quarterly — these results shift as models update and as your own content changes.

Solo financial planner checking AI visibility for the first time: Anna, a solo planner in a regional centre, ran the audit above and found ChatGPT recommended two competitors by name for "financial planner in [her region]" but never mentioned her — despite her having a stronger local reputation. Digging into why, her competitors' sites both had clear "Meet the Adviser" pages listing qualifications, AFSL details and areas of specialisation in a scannable format, while her site had a single generic "About Us" paragraph. She rebuilt her bio page with a clear credentials list, specialisations, and a short FAQ section ("What areas does Anna specialise in?", "How does an initial consultation work?"), and re-ran the audit two months later to track any change.

Multi-adviser practice building out bio pages: A six-adviser practice had one shared "Our Team" page with a paragraph and a headshot per adviser. They split it into individual, URL-specific bio pages per adviser, each with a clear specialisation statement, qualifications, an authored article or two, and a short FAQ relevant to that adviser's niche (one specialised in aged care advice, another in business owner advice). This gave each adviser a distinct, citable page rather than all six competing for relevance on one crowded page — a structural change that also happened to improve their traditional SEO.

The mechanics: what to actually build

Two things do most of the heavy lifting. First, FAQ-structured content on key service and specialty pages — a genuine question as a heading, followed by a direct, complete-in-itself paragraph answer, written so it could be lifted and quoted on its own and still make sense. Second, detailed individual adviser bio pages with named credentials (AFSL details, qualifications, specialisations, years of experience) and, ideally, some authored content under that adviser's byline — articles, guides, or FAQ answers attributed to them specifically. Structured data markup (schema for FAQPage and Person) can reinforce both, giving AI crawlers an explicit, machine-readable version of the same information.

💡 Don't expect quick or guaranteed results. AI visibility for regulated financial advice content is a genuinely new and still-shifting area — models update, citation behaviour changes, and there's no reliable way to force a specific citation. Treat this as good practice worth doing regardless (it also improves clarity for human readers and traditional SEO), not a guaranteed lead channel.

Mistakes to avoid

Never checking what AI tools currently say about your practice, and assuming good Google rankings mean good AI visibility.
Writing service pages as flowing marketing prose with no clear question-and-answer structure.
Keeping adviser credentials and specialisations buried in one shared "About Us" paragraph instead of individual bio pages.
Expecting fast, guaranteed, or trackable-to-the-dollar results from AI visibility work.

Frequently asked questions

Can I actually influence what ChatGPT says about my practice?

To a degree — you can improve the odds of being cited by making your own content clearer, more structured, and more authoritative, but you can't directly control or guarantee what any AI model says, and results vary between tools and change over time as models are updated. It's an ongoing practice, not a one-off fix.

Is this different from traditional SEO?

Related but distinct — traditional SEO and AI visibility both reward genuinely useful, well-structured content, but AI tools weight extractability and clear question-answer framing more heavily than some traditional ranking factors do, so content that ranks well in classic search doesn't automatically get cited by AI tools.

Should every adviser have their own bio page, even in a small practice?

Generally yes, even for a two- or three-adviser practice — individual pages give each adviser a distinct, citable identity with their own specialisation and credentials, which is harder to achieve on one shared team page.

How often should I re-check my AI visibility?

Quarterly is a reasonable cadence given how frequently these models and their citation behaviour change — checking monthly is unlikely to show meaningful movement and risks over-indexing on noise rather than real trend.