• AI visibility

Guide · AI search

How do wealth management firms win new clients when prospects check them with AI before calling?

Referrals still bring most clients to wealth management firms, but a growing share of prospects, especially younger and wealthier ones, now check a firm with AI before they call, and some find their advisor that way. A firm wins those clients by making who it serves, how it is paid, its fiduciary status and what clients say about it easy for an assistant to find, verify and repeat. That work has to fit within the SEC’s marketing rule.

By Underneath Team Guide Updated

The short version

  1. AI has entered advisor selection: in a June 2026 survey of 1,000 advised investors (opens in a new tab) reported by InvestmentNews, nearly 9% used an AI tool such as ChatGPT, Gemini or Claude while searching for an advisor, rising to 25% of investors under 45.
  2. Referrals lead, but less for the wealthiest: in the same survey, 50% of investors with $5 million or more said no referral was involved in finding their current advisor; Kitces (opens in a new tab) found 43% of consumers find an advisor through friends and family, and only about 4% through a search engine or AI.
  3. AI is raising the value of advice, not replacing it: in Vanguard’s June 2026 survey of 6,686 investors, 32% said AI made them value human advice more, against 2.9% who said less.
  4. Fast growers depend less on referrals: high-growth practices in the Kitces 2026 marketing study (opens in a new tab) got only a third of new client revenue from referrals, against 80% for slower-growing peers.
  5. The rules apply to every claim: the SEC’s Division of Examinations flagged in December 2025 (opens in a new tab) that the most common testimonial failure was missing disclosures at the time the testimonial was first shared.

This guide covers how wealth management firms get found and described by AI assistants. It is not investment, legal or compliance advice; take marketing-rule questions to your chief compliance officer and counsel.

How do affluent clients find a wealth manager today?

Mostly through people they trust, followed by their own research; the wealthiest and youngest rely on referrals least.

Referrals remain the largest single source. In Kitces’ 2026 marketing study, as presented by Michael Kitces, 43% of consumers find an advisor by asking friends and family, about a quarter through an event or networking, and about 20% through a trusted professional such as an attorney or accountant. Advisors mirror this: in the same study’s survey of 506 advisors, 88% used client referrals and 64% used referrals from centers of influence such as CPAs and estate attorneys.

The referral is often only the start. The June 2026 survey of advised investors found that 15% of advised investors received a referral and then used at least one other method to evaluate the advisor before reaching out. Among investors under 45, 59% found their advisor without any referral, and only 8% relied on a referral alone. What made the final choice was fit: nearly 74% said it was “very important” that the advisor showed an understanding of their specific needs.

Kitces describes a “referral paradox.” As a firm grows, recent clients become a smaller share of the book, a smaller share of clients still have untapped networks to refer from, and referral-driven growth slows. Family Wealth Report’s summary (opens in a new tab) of the study adds that asking clients for referrals more often appears to reduce them. That is why the fastest-growing firms lean on channels they control.

Where does AI fit in choosing an advisor?

Mostly at the checking stage today, and increasingly at discovery for younger and wealthier prospects.

  • Discovery. About 4% of consumers find an advisor through a search engine or AI, by Kitces’ count. Kitces noted that even a small share of the roughly 30 million US households with $100,000 or more to invest still means a large number of people.
  • Searching with AI. The June 2026 survey’s figures are higher among the clients firms want most: 25% of investors under 45 and 15% of those with more than $5 million used an AI tool while searching for an advisor.
  • General AI use for money. In Vanguard’s survey, 32% of investors had used AI for financial guidance: 43% of Gen Z and millennial investors, 41% of Gen X and 15% of baby boomers and older.
  • Trust stays with people. Among Gen Z, millennial and Gen X investors, 63% reported low or no trust in AI advice, and 37% of AI users had received incorrect or misleading information. Cerulli (opens in a new tab) found just 38% of affluent investors at least somewhat comfortable with AI.

The pattern favors advisors. Vanguard reports that among advised clients, 41% value their advisor more because of AI, and only 2% value them less. Prospects use AI to learn and to check, then hire a person. For a firm, the risk is not that AI replaces it; the risk is that the assistant a prospect consults cannot find, or misstates, the facts that would earn the first meeting.

What do prospects ask AI about a wealth manager?

Discovery questions about specialists nearby, and verification questions about a specific firm. The examples are our own composites of what prospects tend to ask, not questions captured from real users.

StageIllustrative prompt
Discovery by niche“Fee-only fiduciary advisor in Denver who works with physicians”
Discovery by event“How do I choose a wealth manager after selling my company?”
Verification“Is this firm a fiduciary, and does it have any disciplinary history?”
Fees“What does a wealth manager typically charge on $3 million, and how is this firm paid?”
Comparison“Independent RIA or a large brokerage firm for a family with trusts?”
Reputation“What do clients say about this firm?”

The verification questions matter most for referred prospects. A referred prospect who asks an assistant about the firm and gets a thin or wrong answer may never book the meeting the referral set up, and the firm would not know why.

How does an AI answer turn into new assets under management?

Through a short path: named or confirmed, website checked, introductory meeting, then a long relationship.

  1. Named or confirmed. For a discovery question, the assistant names a few firms. For a verification question, it confirms or fails to confirm what the referrer said.
  2. Website and records. The prospect reads the firm’s site, advisor biographies and fee page, and may check public registration records.
  3. Introductory meeting. The firm earns a conversation, where fit decides the outcome.
  4. Engagement. Assets move, and fees accrue for years if the relationship holds.

Each new relationship is significant for a typical firm. The 2026 Investment Adviser Industry Snapshot (opens in a new tab) counts 16,544 SEC-registered advisers serving 73.7 million clients, and advisers focused on individuals averaged just 8 employees and $424 million in assets under management. Small teams cannot meet everyone; they need the right introductions.

Marketing efficiency is measurable. Kitces found the typical practice spends 7% of annual revenue on marketing and 70 cents for each new dollar of client revenue. By tactic, online advisor directories cost $0.28 per new revenue dollar, client referrals $0.34 and search engine optimization $0.45. Answer engine optimization, AI-focused visibility work that Kitces measured for the first time, cost $3.45, the report’s summary notes. The report also warned that AI search may never become a major route to advisor recommendations. We read this as a caution against buying AI visibility as a standalone tactic, and a case for doing the groundwork (accurate facts, directories, reviews, search) that serves both search engines and assistants.

What makes an assistant name or vouch for a firm?

Public, consistent facts and third-party signals; platforms do not document how they choose advisors.

Documented by the platform. Google explains that AI Overviews and AI Mode can split one question into several related searches, a method it calls “query fan-out” (opens in a new tab), before writing an answer. For subjects that could affect someone’s financial stability, such as choosing who manages their money, Google adds that its systems give even more weight (opens in a new tab) to content that shows strong experience, expertise, authoritativeness and trust. Neither Google nor OpenAI documents how it chooses which advisory firm to name.

Observed in our studies. None of our studies tested financial advisors, so these findings come from neighboring local professional services.

  • Reviews and maps matter for local questions. In our study of ChatGPT’s local picks, covering services such as accountants and lawyers, businesses with more Google reviews than the local median were 19.5 points more likely to be listed after adjusting for other signals, and ChatGPT listed 67.7% of businesses ranked in the Maps top 3.
  • Local answers vary more. In our agreement study, recommendation lists from four assistants overlapped far less when the question named a place (0.160 on a scale where 1 means identical) than when it did not (0.390).
  • Named sources travel. In our hidden-searches study, when ChatGPT’s search named a source such as a directory or comparison site, the answer cited it 44.0% of the time, against 8.1% when it did not.

Our inference. For a wealth firm, the facts that let an assistant vouch for you are specific: whom you serve, how you are paid, whether you act as a fiduciary, your credentials, where you are registered, and what clients say. They need to agree everywhere they appear, from your website to your regulatory filings to directory profiles. Kitces found that only 13% of practices use third-party review sites in their marketing, and at the median firm only 16% of clients left a review. A firm with a thin public record leaves assistants little to say, and prospects little reason to call.

How does the SEC marketing rule shape AI visibility work?

It governs the content assistants draw on, so compliant content is the only safe route to visibility.

Registered advisers’ advertisements fall under the SEC’s marketing rule (opens in a new tab). It bars untrue statements of material fact and misleading implications. It allows testimonials and endorsements only with clear and prominent disclosures, oversight and, where someone is paid, a written agreement. It allows third-party ratings only with a reasonable basis for believing the underlying survey was fair, plus disclosures such as whether the adviser paid in connection with the rating.

The December 2025 risk alert shows where firms slip. Examiners most often found testimonials and endorsements without the required disclosures at the time they were shared, on websites, social media, and through lead-generation firms and influencers. They also found third-party ratings used without the required basis or disclosures.

Three points follow for GEO, which your compliance team should confirm:

  1. Reviews need a program, not a push. Inviting clients to leave Google reviews and displaying them involves testimonial rules; design the process with compliance before scaling it.
  2. Awards and rankings carry duties. “Top advisor” lists are exactly the third-party content assistants may repeat, and using them in your marketing triggers the rating provisions.
  3. Never manufacture signals. Paid placements disguised as editorial content, or reviews written to influence AI answers, create regulatory risk and, as covered in can fake reviews make AI assistants recommend a fake brand?, reputational risk too.

What does GEO look like for a wealth management firm?

Generative engine optimization (GEO) makes your firm’s niche, terms and reputation easy for assistants to find, check and repeat accurately.

For an RIA or wealth firm, the work usually covers:

  1. A clear niche page. Who you serve best (business owners, physicians, executives with equity pay, retirees), the problems you solve, and minimums, written plainly. Kitces found firms with a well-defined niche overrepresented among high-growth practices with up to $1 million in revenue.
  2. Fees and status in text. How you are paid, whether you act as a fiduciary, and your services, consistent with your regulatory filings.
  3. Advisor profiles. Credentials, experience and specialties for each advisor, matching their public registration records.
  4. Directories and maps. Accurate profiles on the directories and map listings assistants draw on, the lowest-cost tactic in Kitces’ data.
  5. A compliant review program. Designed with your compliance team, so the reviews that prospects and assistants read are real, current and properly disclosed.
  6. Professional and press coverage. Articles, podcasts and talks that show expertise in your niche, plus visibility with the CPAs and attorneys who refer clients.
  7. Monitoring. Track discovery and verification questions about your firm in several assistants and in Google’s AI surfaces, since local answers differ most.

If an assistant misstates your fees, minimums or credentials, the correction process is in how to fix wrong information about your brand in AI answers. For building third-party credibility more broadly, see how brands build authority that AI search recognizes, and for smaller firms competing with national names, how a small brand can get recommended by AI assistants. Fund firms face a related question, covered in how asset managers get funds considered by AI. No one can guarantee that an assistant will recommend a firm; GEO makes the evidence it finds accurate, consistent and compliant.

What can’t the current advisor data tell us yet?

How many new clients AI produces: surveys measure use, not the assets that follow.

  • Small channel, uncertain growth. Kitces’ roughly 4% and the June 2026 survey’s 9% measure different things in different samples. Neither shows how fast AI discovery is growing.
  • Interested parties and narrow samples. Vanguard and Cerulli serve the wealth industry, so their findings are useful but not neutral. The June 2026 survey covered only investors who already work with an advisor.
  • No advisor-specific AI studies. Our local-picks evidence comes from other professional services; we have not tested advisor questions directly.
  • Cost figures are early. Kitces measured AI-focused visibility work for the first time in 2026; the report’s summary suggests it may become more efficient as it matures.

Where should a wealth management firm start?

Start by checking what assistants say when a referred prospect asks about your firm, then fix the gaps.

A useful first review covers verification questions about your firm and each lead advisor, discovery questions for your niche in your markets, and how your fees, fiduciary status and credentials are described. It shows whether assistants confirm what your referrers say, which firms they name instead, and which facts are missing or inconsistent with your filings.

If your growth depends on turning introductions into new relationships and assets, talk to us about a review of your firm in AI answers. We will compare how assistants describe you and the firms you compete with, list what they get wrong or cannot find, and plan the profile, directory, review and content work, designed with your compliance team, that helps prospects who check you with AI take the next step. Our generative engine optimization service page describes how that work runs for an advisory firm, from niche and fee pages to advisor profiles and monitoring.

Frequently asked questions

Do wealthy investors really use ChatGPT to find a financial advisor?

Some do. In a June 2026 survey of advised investors, 15% of those with more than $5 million used an AI tool while searching for an advisor, and 25% of those under 45.

Will AI replace wealth managers?

The evidence so far says no. In Vanguard’s survey, investors were about 11 times as likely to say AI raised the value they place on human advice as to say it lowered it.

Can we ask clients for Google reviews?

Reviews can help, but under the marketing rule testimonials carry disclosure and oversight duties. Design any review program with your compliance officer before you start.

Is GEO worth it if most clients come from referrals?

Yes, if it supports referrals. Referred prospects often check a firm before calling, and an accurate, verifiable public record helps that referral turn into a meeting.

Sources

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