SoFi AI Visibility Market Strategy Report - Roth IRAs

Answer Capsule

SoFi holds 46.72% valid recommendation coverage in the Roth IRAs category in October 2026, ranking sixth of ten tracked brands, while category leader Fidelity sits at 90.35%. SoFi is visible in 52.32% of qualified AI answers but converts that presence into a valid recommendation less than half the time, and its top-three recommendation rate of 8.69% shows it rarely reaches the shortlist positions where buyer decisions form. The clearest win is a strong positive framing profile with a 0.9004 net sentiment score and zero negative mentions. The clearest gap is rank-one placement at 0.58%, and the biggest opportunity is converting its broad presence into top-three recommendations on high-intent Roth IRA selection prompts.

Who This Report Is For

This report is for SoFi's marketing, growth, and product leadership teams, and for anyone responsible for how the brand appears when buyers ask AI systems which Roth IRA provider to choose.

Report Card

Executive Summary

SoFi is present in the Roth IRAs category but under-recommended relative to its visibility. The benchmark recorded 271 mentions across 518 qualified observations, a raw mention presence rate of 52.32%, yet only 242 of those observations produced a valid recommendation, a coverage rate of 46.72%. That gap between being mentioned and being recommended is the central finding of this report.

The framing around SoFi is strongly positive. Of its 271 mentions, 244 were positive, 27 were neutral, and none were negative, producing a net sentiment score of 0.9004. SoFi carries no negative framing burden in this category. The problem is not how AI systems describe SoFi. The problem is how often they choose SoFi.

SoFi's strongest platform signal is Perplexity, where it holds 75.00% valid recommendation coverage and a 25.00% top-three rate. Its weakest platform signal is ChatGPT, where it holds 8.00% coverage and no top-three placements at all. That spread between platforms is the widest of any tracked brand and points to a retrievability gap rather than a reputation gap.

The strongest cluster is C01, Best Budgeting Apps Discovery and Evaluation, the only cluster with sufficient data in this benchmark. SoFi's performance there mirrors its overall position: visible, positively framed, but rarely placed in the top three. Its top-three rate of 8.69% and rank-one rate of 0.58% place it well behind Fidelity, Charles Schwab, Robinhood, and Vanguard.

The clearest gap is rank-one placement. SoFi received the primary recommendation in only 3 of 518 qualified observations. Fidelity received it in 300. Even E*TRADE, which holds nearly identical coverage at 48.07%, converts more of its presence into top-three placements relative to its base.

The benchmark also flagged one high-severity factual inconsistency involving SoFi. Google AI Overviews stated a $5 minimum for fractional share investing while Copilot stated a $1 minimum, both in response to the same question about the best broker for fractional shares. That conflict is detailed later in this report and represents a specific, correctable evidence-layer problem.

What SoFi Is Winning

Questions This Section Answers

• How strong is SoFi's sentiment profile compared with the rest of the Roth IRA category?
• Which AI platform gives SoFi its strongest recommendation signal?
• Has SoFi's valid recommendation coverage improved over the past few months?

SoFi's clearest win is its framing quality. With 244 positive mentions, 27 neutral mentions, and zero negative mentions, SoFi carries the second-highest net sentiment score in the tracked set at 0.9004, behind only Betterment LLC at 0.9466. No AI platform in this benchmark produced a negative framing of SoFi.

SoFi's second win is Perplexity. On that platform, SoFi holds 75.00% valid recommendation coverage, a 25.00% top-three rate, and a 1.00% rank-one rate. Perplexity is SoFi's strongest recommendation surface by a wide margin, and it shows that SoFi can reach shortlist positions when the retrieval and synthesis conditions are right.

SoFi's third win is its coverage trajectory. The benchmark recorded a 10.4-point increase in valid recommendation coverage from July 2026 to October 2026, from 36.3% to 46.7%, classified as a significant rise beyond normal month-to-month variation. SoFi is moving in the right direction on the metric that matters most.

These are real wins, but they are narrow. SoFi's positive framing does not currently convert into recommendation placement at the rate its visibility would suggest, and its strongest platform is also its smallest by observation count.

Where SoFi Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is SoFi mentioned so often but rarely recommended as a top Roth IRA choice?
• How far behind Fidelity, Charles Schwab, Vanguard, and Robinhood is SoFi on top-three placement?
• Why is SoFi nearly absent on ChatGPT compared with the category leaders?

SoFi's most significant gap is recommendation conversion. It appears in 52.32% of qualified answers but receives a valid recommendation in only 46.72%. That 5.6-point gap between presence and recommendation means SoFi is frequently mentioned as context, as a comparison point, or as a secondary option rather than as a recommended choice.

The second gap is top-three placement. SoFi's top-three rate of 8.69% places it sixth in the category, behind Fidelity at 86.10%, Charles Schwab at 80.50%, Vanguard at 38.80%, and Robinhood at 25.29%, and ahead of only E*TRADE at 7.72%, Betterment LLC at 2.32%, Merrill Edge at 0.97%, Wealthfront Corporation at 0.58%, and M1 Finance at 0.97%. SoFi is in the middle of the field on presence but near the bottom on shortlist placement.

The third gap is rank-one placement. SoFi received the primary recommendation in 3 of 518 qualified observations, a rank-one rate of 0.58%. Fidelity holds 57.92%, Charles Schwab holds 23.36%, Robinhood holds 4.25%, and Vanguard holds 2.32%. SoFi is not competing for the first-choice position in this category.

The fourth gap is ChatGPT. SoFi holds 8.00% valid recommendation coverage on ChatGPT, with no top-three placements and no rank-one placements across 50 observations. By contrast, Fidelity holds 98.00% coverage on ChatGPT and Charles Schwab holds 96.00%. SoFi is nearly absent from the platform where the category leaders are strongest.

The fifth gap is the fractional share minimum inconsistency. Google AI Overviews and Copilot provided conflicting minimum investment figures for SoFi's fractional share product in response to the same question. That conflict is detailed in the next section.

AI Response Inconsistency Alerts

Questions This Section Answers

• What fractional share minimum did AI platforms report for SoFi, and why did they conflict?
• Which sources did Google AI Overviews and Copilot cite for their competing SoFi figures?

One high-severity factual inconsistency was detected for SoFi across two AI platforms in October 2026.

When asked "Which broker is best for fractional shares?", Google AI Overviews stated that SoFi requires a $5 minimum for fractional share purchases, while Copilot stated that SoFi requires a $1 minimum. Both platforms were answering the same question about the same product, and the two figures are incompatible. The conflict carries a confidence score of 0.95 and is classified as a pricing inconsistency.

Google AI Overviews cited three sources for its $5 claim: the Interactive Brokers fractional trading page, a NerdWallet guide to the best brokers for fractional shares, and a StockBrokers.com guide to fractional share brokers. Copilot cited three different sources for its $1 claim: a Phroogal guide to fractional share investing, an Investing Simple comparison of fractional share brokerages, and a Side by Side Brokers comparison of online stock brokers.

The benchmark also flagged three additional sources that appear to carry both figures or ambiguous figures. A Yahoo Finance article referenced minimum purchase requirements "as low as $1 to $5." A Finder.com comparison listed SoFi Active Invest at $5 alongside Robinhood at $1, Public.com at $1, Fidelity at $1, and Charles Schwab at $5. An EMAC International comparison described SoFi's fractional share program as letting investors "buy pieces of any of 7,800+ stocks and ETFs for just $1."

The pattern suggests that the public evidence layer contains both figures, and AI platforms are retrieving different sources depending on the platform and the query context. This is a correctable problem. When a brand's own product specifications are not the dominant, most retrievable source for a factual claim, AI systems will synthesize from third-party pages that may carry outdated or conflicting information.

Biggest Opportunity

SoFi's biggest opportunity is converting its broad presence into top-three recommendations on high-intent Roth IRA selection prompts. The benchmark shows that SoFi is mentioned in more than half of qualified answers and framed positively in nearly all of them, but it reaches the top three in fewer than one in ten. The gap between presence and shortlist placement is where the commercial opportunity sits.

The specific path is the C01 cluster, Best Budgeting Apps Discovery and Evaluation, which contains prompts such as "What company is best for Roth IRA?", "What is the best Roth IRA right now?", and "Which brokerage is good for beginners?" These are the prompts where buyers form their shortlist. SoFi appears in the answers but rarely in the top three. Closing that gap requires making SoFi's own product pages, comparison content, and third-party evidence more retrievable and more authoritative for those specific questions.

The fractional share minimum inconsistency is a concrete example of the same problem. When SoFi's own specifications are not the dominant source, AI systems fill the gap with whatever they can retrieve, and the result is conflicting claims across platforms.

Competitive Landscape

Questions This Section Answers

• Where does SoFi sit against Fidelity and Charles Schwab on top-three and rank-one placement?
• Why does SoFi show the widest gap between sentiment score and placement in the category?

Fidelity and Charles Schwab hold recommendation-stage strength in the Roth IRAs category, with Fidelity leading at 90.35% valid recommendation coverage and Charles Schwab close behind at 89.38%. SoFi sits in the middle of the field on coverage at 46.72%, but its top-three and rank-one rates place it well below the leaders and below Robinhood and Vanguard.

Average recommended rank covers rank-eligible recommendations only.

SoFi's position in the table shows a brand with strong framing but weak placement. Its sentiment score of 0.9004 is the second-highest in the set, yet its top-three rate of 8.69% and rank-one rate of 0.58% place it near the bottom on the metrics that determine whether a buyer sees the brand as a shortlist candidate. The gap between SoFi's sentiment and its placement is the widest of any brand in the table.

Prompt Evidence

Perplexity / Best Budgeting Apps Discovery and Evaluation Prompt: "What is the best Roth IRA right now?" Result: SoFi appeared in the recommendation set with positive framing, consistent with its 75.00% coverage on Perplexity, but did not reach the top three.

ChatGPT / Best Budgeting Apps Discovery and Evaluation Prompt: "What company is best for Roth IRA?" Result: SoFi was absent from the recommendation set on ChatGPT, where it holds 8.00% coverage and no top-three placements across 50 observations.

Google AI Overviews / Best Budgeting Apps Discovery and Evaluation Prompt: "Which broker is best for fractional shares?" Result: Google AI Overviews stated a $5 minimum for SoFi's fractional share product, citing Interactive Brokers, NerdWallet, and StockBrokers.com, while Copilot stated a $1 minimum for the same product, citing Phroogal, Investing Simple, and Side by Side Brokers.

Copilot / Best Budgeting Apps Discovery and Evaluation Prompt: "Which brokerage is good for beginners?" Result: SoFi appeared in the recommendation set with positive framing, consistent with its 78.82% coverage on Copilot, but did not reach the top three.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where SoFi appears but is not recommended, and identify which competitors take the top-three positions SoFi is missing.

Phase 2: Recommendation Readiness Plan Prioritize the C01 cluster prompts where SoFi's presence is high but its top-three rate is low, and define what evidence would move SoFi into shortlist positions.

Phase 3: Owned Answer Layer Buildout Build SoFi-owned pages that directly answer the high-intent Roth IRA selection questions, with clear, retrievable product specifications that resolve the fractional share minimum conflict.

Phase 4: Citation and Authority Layer Development Strengthen the third-party evidence layer by ensuring comparison sites, review pages, and financial guides carry accurate, current SoFi specifications, particularly for fractional share minimums and account features.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track SoFi's coverage, top-three rate, rank-one rate, and sentiment across all six platforms monthly, with specific attention to whether the fractional share inconsistency resolves.

Why This Matters

Questions This Section Answers

• Why is being mentioned in Roth IRA answers not the same as being recommended?
• What layers need correction to move SoFi from visible mention to recommended choice?

AI presence alone is not enough. SoFi is mentioned in more than half of qualified Roth IRA answers and framed positively in nearly all of them, yet it reaches the top three in fewer than one in ten. Buyers who ask AI systems which Roth IRA provider to choose are seeing SoFi in the answer, but they are not seeing SoFi as a recommended choice.

The next move is targeted correction of the prompt, page, and citation layers. The fractional share minimum inconsistency is a specific example of what happens when a brand's own specifications are not the dominant, most retrievable source. Fixing that requires making SoFi's product pages more retrievable, ensuring third-party sources carry accurate information, and building content that directly answers the high-intent questions where buyers form their shortlists.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For SoFi in October 2026: (244 × 1 + 27 × 0 + 0 × -1) / 271 = 0.9004.

This matters because unclassified mention counts are misleading. A brand that appears in 271 answers sounds impressive until you separate those mentions into positive recommendations, neutral references, and cautionary or displaced mentions. SoFi's 271 mentions break down into 244 positive, 27 neutral, and zero negative, which is a strong framing profile. But framing is not the same as recommendation.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. SoFi's sentiment score of 0.9004 tells us that when AI systems mention SoFi, they frame it positively. It does not tell us whether SoFi is being recommended, and in this benchmark, SoFi is recommended in fewer than half of the answers where it appears.

Classified sentiment is required before interpreting AI visibility. SoFi's strong sentiment score is a genuine asset, but it needs to be read alongside its 8.69% top-three rate and 0.58% rank-one rate to understand the full picture.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of SoFi's AI recommendation visibility in the Roth IRAs category for October 2026. It is not a client result and does not imply that any action by CiteWorks Studio caused the observed outcomes.
2. The reporting window is October 2026, with comparison data from July 2026, August 2026, and September 2026 where available.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. The benchmark began with 800 prompt-surface observations in October 2026, producing 619 unique questions, 579 relevant observations, and 518 qualified observations after all filters.
5. The competitor universe includes ten tracked brands: Betterment LLC, Charles Schwab, E*TRADE, Fidelity, M1 Finance, Merrill Edge, Robinhood, SoFi, Vanguard, and Wealthfront Corporation.
6. One public high-intent cluster had sufficient data in this benchmark: C01, Best Budgeting Apps Discovery and Evaluation. Two additional clusters, C02 and C03, had no qualified observations.
7. Stage 0 extraction retained the query, AI platform, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is counted when a tracked brand appears in a qualified AI response, regardless of recommendation status.
9. A valid recommendation is counted when a tracked brand appears in a valid recommendation shortlist within a qualified AI response. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Brand-level percentages use the 518 qualified observations as the public denominator, not the 800 raw prompts collected.
11. Average recommended rank covers rank-eligible recommendations only. SoFi's average recommended rank of 4.78 is based on its 242 valid recommendations.
12. The benchmark does not measure market share, attributable sales, every possible AI response, organic search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. The unique-question denominator and cluster taxonomy are drawn from the benchmark's own labeling, and the C01 cluster name is retained as published.

See How AI Is Recommending Your Brand

The public benchmark shows where SoFi stands in the Roth IRAs category. A company-level AI visibility audit maps the specific prompts, competitors, platforms, and evidence sources behind those numbers, and turns a category-level observation into a prioritized action plan for moving SoFi into the shortlist positions where buyer decisions form.