When U.S. clients ask AI for a wealth manager, who gets named?
We put 99 real buyer questions to ChatGPT and Gemini and Perplexity and checked which of 20 wirehouse, private-bank and independent RIA firms each answer named. 31 of the 99 questions got no named firm at all — the U.S. companion to our Swiss studies, same method, much bigger market. Run the check for your firm →
Why we ran this
“Wirehouse or independent RIA?” is one of the highest-value questions in financial services, and it increasingly starts with an AI assistant. The assistant assembles its answer from a handful of sources — firm sites, comparison platforms, forums, LinkedIn — and either names specific firms or it doesn’t. This benchmark reads how visible U.S. wealth managers currently are, engine by engine, and where the openings are.
How we measured it
We wrote 99 questions in the language a prospective client, adviser or journalist actually uses, across six topic clusters (all 99 are explorable in full below). Each question was sampled once per engine, and every answer was checked for a mention of any of 20 identifiable U.S. wealth management firms — from wirehouse and bank-owned private wealth arms like Morgan Stanley and J.P. Morgan Private Bank to independent RIAs such as Creative Planning and Mariner Wealth Advisors — using the same name matcher a live Inserviss scan uses.
A single pass per engine establishes direction and priority; it is not a trend line. Citations are reported as measured; query volumes are labelled estimates, shown as ranges. Engines are never blended. This run covers ChatGPT and Gemini and Perplexity; Microsoft Copilot is not currently sampled.
What we found, at a glance
- Visibility varies sharply by engine. ChatGPT named a tracked firm in 28 of 99 answers, Gemini named a tracked firm in 67 of 99 answers and Perplexity named a tracked firm in 36 of 99 answers.
- 31 of 99 questions got no tracked firm on any engine. Weakest: Fees, Fiduciary Duty & Transparency, Custody, Platforms & Account Transfers.
- Morgan Stanley Private Wealth Management is the most-named firm, appearing in 69 of 297 answers. Every one of the 20 tracked firms was named at least once — a sharp contrast with our Swiss studies, where most tracked firms never appeared at all.
- Wirehouses and independent RIAs get named at very different rates. See the full breakdown, and which archetype AI actually favors, in the table below.
How often does AI name a firm at all?
Below is the share of the 99 answers that named at least one tracked firm, per engine — then the full table, every firm against every engine, sortable by any column.
Share of 99 answers naming at least one of the 20 tracked firms. Per engine, never blended.
| Firm | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Morgan Stanley Private Wealth Managementbank | 19 | 36 | 14 |
| UBS Private Wealth Managementbank | 18 | 35 | 7 |
| J.P. Morgan Private Bankbank | 9 | 37 | 5 |
| Goldman Sachs Private Wealth Managementbank | 5 | 20 | 7 |
| Northern Trustbank | 3 | 27 | 2 |
| Bessemer Trust | 5 | 25 | 2 |
| Merrillbank | 12 | 13 | 3 |
| Creative Planning | 0 | 14 | 11 |
| Mercer Advisors | 0 | 5 | 16 |
| BNY Wealthbank | 1 | 12 | 3 |
| Rockefeller Capital Management | 1 | 13 | 0 |
| Wells Fargo Private Bankbank | 6 | 6 | 0 |
| Mariner Wealth Advisors | 1 | 7 | 4 |
| Cerity Partners | 1 | 7 | 4 |
| Pathstone | 1 | 4 | 0 |
| Fisher Investments | 0 | 2 | 2 |
| Edelman Financial Engines | 0 | 1 | 2 |
| Corient | 2 | 0 | 0 |
| Brown Advisory | 1 | 0 | 1 |
| Hightower Advisors | 1 | 0 | 0 |
Mentions across 99 answers per engine. Select a column heading to re-sort. Scroll the table sideways on a narrow screen.
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Where the openings are
Coverage varies by question type. Below is the best engine’s coverage for each cluster, out of ~17 questions.
Answers naming a firm on the strongest engine, per cluster (out of ~17).
How this is estimated
Estimate — a range, not a keyword-tool export. Illustrative estimate, not a keyword-tool export. Each cluster has ~17 seed buyer questions; long-tail intent phrases run ~40–250 monthly searches each across the U.S. market, one or two head terms add ~500–2,000/mo, and an AI-assistant reformulation multiplier of ×2–4 accounts for the wider phrasing people use with an assistant. Ranges are rounded and widened. For a specific firm, the real number comes from the check, not this table.
| Cluster | Best-engine coverage | Est. questions / mo |
|---|---|---|
| Choosing a Wealth Manager or Advisor | 13/17 | 4,500–16,000 |
| ●Fees, Fiduciary Duty & Transparency | 5/17 | 3,500–13,000 |
| Investment Approach & Performance | 15/17 | 3,000–11,500 |
| Tax & Estate Planning | 12/16 | 3,200–12,000 |
| Family Office, Succession & Philanthropy | 12/16 | 2,400–9,500 |
| ●Custody, Platforms & Account Transfers | 10/16 | 2,200–8,500 |
Volumes are an estimate, shown as a range. Illustrative estimate, not a keyword-tool export. Each cluster has ~17 seed buyer questions; long-tail intent phrases run ~40–250 monthly searches each across the U.S. market, one or two head terms add ~500–2,000/mo, and an AI-assistant reformulation multiplier of ×2–4 accounts for the wider phrasing people use with an assistant. Ranges are rounded and widened. For a specific firm, the real number comes from the check, not this table.
The check runs this same 99-question universe against your firm’s name, per engine, and returns your AI Visibility Score plus the exact questions where a competitor — or no one — is being named.
Check your firm’s AI visibility →Explore the 99 questions
Every question, and exactly what each engine did with it — which firms it named, and which sources it pulled from. Filter by cluster, search for your own name, or show only the questions no firm has claimed.
The 31 questions no tracked firm owns on any engine, with the sources AI cites instead — a ready-made content brief.
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Where each engine gets its answers
The domains each engine actually pulled from, per engine — never blended. ChatGPT leans on Forbes and official sources (SEC.gov, Investor.gov) alongside the big firms’ own sites. Perplexity repeats a small set of personal-finance media and forums — Reddit, WSJ, LinkedIn, SmartAsset, Kitces, NerdWallet. Gemini is the opposite: it names tracked firms most often of the three, but pulls from a very long, thin tail of small independent-adviser sites rather than a handful of dominant sources.
Times a domain was cited across the 99 answers. Blue = a tracked firm’s own site.
About this study
- Single pass per engine. One sample per question per engine establishes direction; it does not average out run-to-run answer variance.
- Snapshot in time. Collected September 4, 2026. AI engines change their answers week to week; this is not a trend line.
- Conservative name matching. Short one-token names (Merrill, Corient, Pathstone, BNY Wealth…) require an exact whole-word match, so a slight undercount is possible — but it cannot explain a 31-of-99 gap.
- ChatGPT and Gemini and Perplexity this run. Microsoft Copilot is not currently sampled; the measurement is identical when it is.
How to cite this study
To request the underlying data or discuss a firm-specific analysis, contact igor@inserviss.app.
The same measurement, run against your name — per engine, question by question — with your score and the questions to claim first.
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