• AI visibility

Guide · AI search

How do investing apps and robo-advisors get chosen when people ask AI which platform to use?

They get chosen by being the obvious fit for a specific need, such as a first account, options trading or automated investing, in the comparison and review sources AI assistants cite. Most investors now use AI somewhere in their research, and the answers to “which app should I use?” lean on the review sites that compare brokers by use case. For an investment platform, AI visibility is won with plain fee, feature and safety facts that independent reviewers confirm.

By Underneath Team Guide Updated

The short version

  1. AI is part of retail investing: in an Investing.com survey (opens in a new tab) of 938 US investors in April 2026, 62% had used AI tools to help with investment decisions, and 54% had used chatbots such as ChatGPT for investing research.
  2. Answers lean on comparison sites: in our hidden-searches study, a source such as NerdWallet that ChatGPT’s own search had named was cited 44.0% of the time, against 8.1% otherwise.
  3. A funded customer is valuable: Robinhood (opens in a new tab) reported 28.4 million funded customers and average revenue per user of $187 a year in the second quarter of 2026.
  4. Answers vary by assistant: in our agreement study, 66.3% of the options four assistants recommended were named by only one of them.

This guide covers how investment platforms get found and described in AI answers. Nothing here is investment, legal or regulatory advice, and nothing here suggests any platform or product suits any investor.

Who chooses an investment platform, and what is a funded account worth?

Individuals choose, usually at a trigger moment; a funded account can pay back for many years once assets arrive.

The customer is a person opening a first account, adding a second platform for a different purpose, or moving assets from a provider they no longer like. Common triggers are a first salary, retirement-account season, a new product such as a retirement match, or frustration with an existing app. Platforms aim at a broad range of people: Wealthfront, which set terms for its stock market listing in December 2025, said in its prospectus (opens in a new tab) that its average individual funded client is 38 and that its funded clients earn about $165,000 a year.

The money comes after funding, not at sign-up:

PlatformLatest public figuresWhat drives revenue
Robinhood (Q2 2026)28.4 million funded customers; average revenue per user of $187; 4.8 million Gold subscribers; net deposits of $21.7 billionTrading, interest on balances, subscriptions, and new products such as its robo-advisor
Wealthfront (July 2025)Over 1.3 million funded clients; $88.2 billion in platform assetsAdvisory fees and cash management on growing balances

Two details show where the value sits. About 40% of Robinhood’s new funded customers signed up for its Gold subscription in the quarter, and its automated investing product, Robinhood Strategies, grew to over 300 thousand funded customers. Robinhood also counts account transfer and retirement match incentives in its net deposits, a sign of how hard platforms compete for assets that are moving. We infer that the most valuable AI answer is not the one that produces an app download but the one that sends someone who will fund and stay.

How much do investors already rely on AI?

Heavily for research, but with caution: most verify what AI tells them before acting.

  • Broad use. In the Investing.com survey, 62% had used AI tools for investment decisions: 24% regularly, 27% occasionally and 11% once or twice.
  • Chatbots lead. 54% had used chatbots such as ChatGPT for investing research. In an earlier Motley Fool survey (opens in a new tab) of 2,000 investors who use generative AI, conducted in September 2024, 66% said ChatGPT had helped them make investment decisions.
  • Verification is the norm. 54% of Investing.com’s respondents said they trust AI analysis only somewhat and usually check it against other sources, and 39% worried about incorrect or misleading recommendations.

Regulators push the same habit. A joint investor alert (opens in a new tab) from the SEC’s investor education office, NASAA and FINRA warns that AI-generated information “might rely on data that is inaccurate, incomplete, or misleading,” and reminds investors that investment platforms generally must be registered. For a platform, that verification step is where review sites, registration records and your own disclosures do their work.

These surveys measure research about investments, not the choice of platform. No public survey we found measures how many people ask AI which brokerage or robo-advisor to open, so the scale of that specific behavior is unknown.

What do people ask AI when choosing a brokerage or robo-advisor?

Questions about fit for a purpose, fees, safety and switching. The investor prompts in this table are our own examples, not questions collected from real users.

NeedIllustrative prompt
First account“Best investing app for a beginner with $500 to start”
Head-to-head“Robinhood vs Fidelity for a Roth IRA”
Automated investing“Cheapest robo-advisor with tax-loss harvesting”
Active trading“Which broker has the lowest options fees and good charts?”
Safety“Is my money protected if this investing app goes bankrupt?”
Switching“How do I move my brokerage account, and which broker pays a transfer bonus?”

Each of these needs is a separate question, and we expect each to produce its own shortlist: the app suited to a first $500 account may not be the one an active options trader is pointed to. A platform therefore has many AI reputations, one for each kind of question. Which funds people pick inside an account is a separate contest, covered in how asset managers get funds considered.

Which platforms do AI answers name, and what decides it?

Mostly brokers that editorial comparison sites rate well; assistants publish little about how they choose.

Documented by the platform. Google says AI Overviews and AI Mode may use “query fan-out” (opens in a new tab), running several related searches across subtopics before answering. For money topics, Google’s helpful-content guidance says its systems lean harder on signs of experience, expertise, authoritativeness and trust (opens in a new tab), because the stakes for people’s financial stability are higher. Neither Google nor OpenAI documents how it chooses between brokers.

Observed by others and by us.

  • Awards are evidence, not a guarantee. SoFi Invest ranked first among do-it-yourself platforms in J.D. Power’s 2026 study, which surveyed 7,982 advised and 4,335 do-it-yourself investors. We found no public data showing whether an award like this changes how often assistants name a platform, so treat it as one more reviewer fact, not a shortcut.
  • Comparison sites pass into answers. In our hidden-searches study, when ChatGPT’s own search named a source such as NerdWallet, the answer cited it 44.0% of the time, against 8.1% when it did not. In our citation study, nerdwallet.com appeared in 10.0% of all AI Overviews in the sample.
  • Each assistant has its own list. In our agreement study, two-thirds of recommended options were named by only one of four assistants, so tracking one assistant gives a partial picture.

Our inference. Assistants appear to borrow the “best for” labels that reviewers assign: best for beginners, best for active traders, best for retirement. A platform that wants to be named for a use case needs that label in the reviews and comparisons assistants read, backed by facts on its own pages that the reviewers can check. Fees, minimums, account types, fractional shares, protections and the regulated entities behind the product are the facts reviewers line up in their comparison tables, so they are the facts most likely to be repeated.

What path leads from an AI answer to a funded brokerage account?

Through four steps: named in the answer, confirmed on review sites, account opened, then assets funded or transferred.

  1. Named for a need. The assistant lists two to four platforms for the person’s stated purpose.
  2. Checked. The person compares fees and features, reads reviews, and checks safety and registration.
  3. Opened. They download the app or open the account, often the same day.
  4. Funded. They deposit cash or transfer an existing account. This is where revenue starts, and where premium tiers and other products follow.

Each step can fail on an out-of-date fact. If an assistant repeats an old fee, a retired promotion or a missing account type, the person may drop out before opening, and the platform never learns why. We suggest measuring AI visibility by use case and connecting it to funded accounts and net deposits, not downloads, and asking new customers where they first heard of you. Analytics often undercount AI-assisted visits, as covered in why analytics miss AI visibility.

Which marketing rules apply to what assistants repeat?

The same rules that govern your advertising. A fact an assistant repeats is only as safe as the page it came from.

Robo-advisers are usually registered investment advisers, and the SEC’s marketing rule (opens in a new tab) bars advertisements that include an untrue statement of a material fact. It sets conditions on testimonials and endorsements, and it permits third-party ratings only with specific disclosures, such as whether the adviser paid in connection with obtaining or using the rating. Brokerages answer to FINRA’s communications rules, and many platforms run both kinds of entity. SoFi’s release, for example, names an SEC-registered investment adviser for its robo investing and a FINRA and SIPC member broker for self-directed trading.

Two practical points follow, which your compliance team should confirm. First, fee tables, promotions and award badges on your site are the facts assistants and reviewers pick up, so they need the same review and dating as any advertisement. Second, rankings you pay to appear in or license, such as award logos, carry disclosure duties; the J.D. Power award notice in SoFi’s release says use of award materials is subject to a license fee. Do not seed reviews or testimonials to influence AI answers; the rules on endorsements apply however the content is found. Lenders face a similar duty with rate claims, covered in how mortgage platforms win borrowers through AI.

What does GEO look like for an investment platform?

Generative engine optimization (GEO) makes the use cases you serve, and their facts, easy for assistants to find and verify.

For a brokerage, investing app or robo-advisor, the work usually covers:

  1. Use-case pages. One clear page for each audience you serve well (first-time investors, retirement savers, active traders, automated investing), stating what you offer them and what you do not.
  2. Fee and feature facts in text. Commissions, account minimums, advisory fees, cash rates with dates, account types and transfer process, written so a reviewer or assistant can quote them correctly.
  3. Safety and entity facts. Which registered entity provides each service, membership details, how customer assets are held, and what protection does and does not cover, written with compliance.
  4. Reviewer relationships. Accurate data and product access for the editorial review sites assistants cite, plus prompt corrections when their tables go stale.
  5. Explainers people watch. Short, accurate videos on account types and transfers; in our YouTube study, AI Overviews for financial services searches cited a YouTube video on 49.0% of searches.
  6. Monitoring across assistants. Track your use-case questions in several assistants and Google’s AI surfaces, since answers differ between them.

If an assistant quotes a stale commission or names the wrong custodian, our guide to correcting wrong brand facts in AI answers walks through the repair. Smaller platforms facing incumbents can learn from how a fintech startup gets recommended by AI when established brands own the answers, and consumer money apps outside investing are covered in how consumer fintech apps win customers when people ask AI about money. Savings accounts are covered in how digital banks win depositors through AI. No one can guarantee that an assistant will name a platform; GEO makes the facts it finds accurate, current and confirmed by independent sources.

Where does the evidence on investment platforms run out?

At the conversion step: we can see who gets named, but not how many accounts those answers open or fund.

  • Investor surveys measure research, not platform choice. The Investing.com and Motley Fool surveys ask about investment decisions; neither measures how people pick a brokerage. Both come from publishers with a stake in investing content.
  • Our studies are snapshots. They cover many industries at one point in time, not investing alone, and answers change between assistants and over time.
  • No public link to funded accounts. We found no public data connecting AI visibility to account openings or net deposits for any platform. Our cross-industry review, does AI visibility drive business results?, covers what little is known beyond investing.
  • Assistants inside brokerages are new. Several platforms now offer their own AI assistants. How those change the choice of platform, rather than investing within one, is not yet measured.

Where should an investment platform start?

Start by asking assistants the platform-choice questions for each use case you serve, then check every fee and safety fact.

A useful first review covers the “best app for” questions for your target customers, head-to-head comparisons with the platforms you lose to, and safety and “is it legit” questions about your brand. It shows where you are named, which reviewers the answers rely on, and which of your facts are missing, wrong or out of date.

If your growth depends on funded accounts and net deposits, ask us to review how AI answers present your platform. We will compare your visibility with your closest competitors by use case, list the facts assistants and reviewers get wrong, and plan the pages, reviewer outreach and monitoring, checked by your compliance team, that give your platform a fair hearing. The generative engine optimization service page shows how use-case pages, fee and safety facts, and reviewer outreach run as one program for brokerages and robo-advisors.

Frequently asked questions

Do people really ask ChatGPT which investing app to use?

Many use AI for investing research: 54% of Investing.com’s respondents had used chatbots for it. How many ask specifically which platform to open is not publicly measured.

Why do AI answers about brokers cite review sites instead of broker websites?

Assistants search for comparisons and reuse what they find: in our hidden-searches study, a source that ChatGPT’s own search had named was cited 44.0% of the time. That favors the brokers the comparison sites feature, which is why accurate reviewer data matters.

Can a platform pay to be recommended in AI answers?

We know of no documented way to buy a place in an assistant’s recommendations; ads, where offered, are a separate question covered in are ads coming to ChatGPT and other AI assistants?. Paid rankings and licensed awards carry disclosure duties.

Should a robo-advisor publish its fees in plain text?

Yes. Assistants and reviewers quote fees and minimums constantly. Clear, dated fee pages reduce the chance an answer repeats an old or wrong figure.

Sources

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