Vanguard AI Visibility Market Strategy Report - Roth IRAs

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Vanguard is mentioned in 75.1% of qualified AI answers, but its rank-one recommendation rate is only 2.3%.
  • Fidelity and Charles Schwab lead the category on first-position recommendations, leaving Vanguard in the middle tier.
  • Google AI Overviews is Vanguard’s strongest platform, while Copilot shows recommendation coverage without first-place placement.
  • Conflicting Roth IRA minimum information on Copilot and Perplexity may be reducing recommendation confidence.

Answer Capsule

Vanguard holds 65.1% valid recommendation coverage in the Roth IRAs category in October 2026, placing it fourth among ten tracked brands and well behind category leader Fidelity at 90.3%. Vanguard is visible in 75.1% of qualified AI answers but converts that presence into a top-three recommendation only 38.8% of the time and a first-position recommendation just 2.3% of the time. The brand is appearing in fewer answers overall while placing higher when it does appear, a divergence worth watching. The clearest opportunity sits in converting its substantial reference presence into primary recommendation placement, particularly on platforms where it is mentioned but rarely chosen first.

Who This Report Is For

This report is for Vanguard's brand, growth, and digital strategy teams, and for category analysts tracking how retirement and brokerage brands are recommended inside AI-generated answers.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Vanguard

Category / market studied

Roth IRAs

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, Google AI Overviews)

Public high-intent clusters

1 with sufficient data (Brand Recommendation)

AI observations analyzed

518 qualified observations

Competitors tracked

9

Executive Summary

Questions This Section Answers

  • How large is the gap between Vanguard's presence in Roth IRA answers and its recommendation placement?
  • Which platforms show the strongest and weakest recommendation signals for Vanguard?
  • What is the central AI visibility challenge facing Vanguard in this category?

Vanguard holds a strong presence position in the Roth IRAs category but a comparatively weak recommendation position. The brand appeared in 75.1% of qualified AI answers in October 2026, the fourth-highest presence rate in the tracked set, yet its valid recommendation coverage of 65.1% places it fourth overall and more than 25 points behind Fidelity at 90.3%. The gap between presence and recommendation is the defining feature of Vanguard's position: AI systems reference the brand frequently, but they do not consistently place it in the buyer shortlist.

The brand's top-three recommendation rate of 38.8% is meaningfully higher than its rank-one rate of 2.3%. This means Vanguard is often included as a secondary or tertiary option but is rarely the first brand AI systems name. Fidelity, by contrast, holds a 57.9% rank-one rate, and Charles Schwab holds 23.4%. Vanguard's first-position strength is roughly one twenty-fifth of Fidelity's.

Sentiment framing is positive. Vanguard recorded 344 positive mentions, 40 neutral mentions, and 5 negative mentions across 389 total mentions, producing a net sentiment score of 0.8715. The brand is not being framed negatively; it is being framed as a valid option that is not the primary recommendation.

The strongest platform signal for Vanguard is Google AI Overviews, where it holds 62.2% valid recommendation coverage and a 40.7% top-three rate. The weakest platform signal is Copilot, where valid recommendation coverage sits at 68.2% but rank-one rate is 0.0%, meaning Vanguard is recommended on Copilot but never as the first choice. Perplexity shows a similar pattern with a 64.8% coverage rate and a 5.7% rank-one rate.

The clearest gap is recommendation conversion at the top of the shortlist. Vanguard is present, positively framed, and frequently included, but it is not being selected first. That is a recommendation-stage visibility problem, not a presence problem.

A high-severity factual inconsistency was detected across Copilot and Perplexity regarding Vanguard's Roth IRA account minimum. This inconsistency is detailed in the AI Response Inconsistency Alerts section below.

What Vanguard Is Winning

Questions This Section Answers

  • Where does Vanguard actually outperform competitors in AI answers about Roth IRAs?
  • How does Vanguard's sentiment in AI mentions compare with its recommendation placement?
  • Which platform provides Vanguard's strongest performance signal?

Vanguard's clearest win is its presence rate. At 75.1%, the brand appears in three out of every four qualified AI answers about Roth IRAs. That is a strong public evidence layer and indicates that AI systems have substantial retrievable material about the brand.

The second win is top-three placement relative to mid-tier competitors. Vanguard's 38.8% top-three rate is nearly five times higher than Robinhood's 25.3% and more than four times higher than E*TRADE's 7.7%. Among brands outside the top two, Vanguard holds the strongest top-three position by a wide margin.

The third win is sentiment framing. With a net sentiment score of 0.8715 and only 5 negative mentions across 389 total, Vanguard is not being framed as a cautionary option. The brand is being described positively or neutrally in nearly every mention.

The fourth win is Google AI Overviews performance. Vanguard holds 62.2% valid recommendation coverage and a 40.7% top-three rate on that platform, making it the strongest single-platform signal in the dataset for the brand.

These wins are real but narrow. Vanguard is winning presence and inclusion, not selection.

Where Vanguard Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is Vanguard rarely the first brand named in AI Roth IRA recommendations?
  • What happened to Vanguard's presence rate between July and October 2026?
  • How could the account minimum inconsistency affect recommendation confidence on pricing-sensitive Roth IRA prompts?

The primary gap is rank-one recommendation. Vanguard holds a 2.3% rank-one rate across all platforms. Fidelity holds 57.9%, and Charles Schwab holds 23.4%. Even Robinhood, which has lower overall coverage, holds a 4.2% rank-one rate. Vanguard is being recommended, but it is almost never the first brand named.

The second gap is Copilot. Vanguard holds 68.2% valid recommendation coverage on Copilot but a 0.0% rank-one rate. The brand is included in recommendation sets on that platform but never selected first. This is a recommendation conversion gap, not a presence gap.

The third gap is the presence decline. Vanguard's raw mention presence rate fell 5.8 points from July 2026 to October 2026, from 80.9% to 75.1%. This is a significant decline. The brand is appearing in fewer answers overall, even as its top-three rate improved. If the presence decline continues, the top-three gains may not hold.

The fourth gap is the account minimum inconsistency. Copilot and Perplexity provided conflicting information about whether Vanguard requires a minimum to open a Roth IRA. This kind of factual inconsistency can suppress recommendation confidence, particularly on pricing-sensitive prompts.

Compared to Fidelity, Vanguard is present in a similar share of answers but is selected first at a fraction of the rate. The gap is not about being known. It is about being chosen.

Biggest Opportunity

Questions This Section Answers

  • On which platforms can Vanguard most realistically convert its existing Roth IRA presence into first-position recommendations?
  • How does the citation and evidence layer connect to Vanguard's rank-one recommendation gap?

Vanguard's biggest opportunity is converting its existing presence into first-position recommendations on Copilot and Perplexity. On Copilot, the brand holds 68.2% valid recommendation coverage but a 0.0% rank-one rate. On Perplexity, it holds 64.8% coverage and a 5.7% rank-one rate. These are platforms where Vanguard is already being recommended but is not being selected first.

The path to closing this gap runs through the citation and evidence layer. The account minimum inconsistency on Copilot and Perplexity suggests that source material about Vanguard's Roth IRA requirements is conflicting or unclear. Resolving that inconsistency and ensuring that authoritative, current, and consistent source material is retrievable could improve recommendation confidence on those platforms.

This is a recommendation-stage visibility opportunity, not a presence opportunity. Vanguard does not need to be mentioned more often. It needs to be chosen first more often when it is mentioned.

Competitive Landscape

Questions This Section Answers

  • How does Vanguard's top-three and rank-one performance compare with Fidelity and Charles Schwab?
  • Where does Vanguard typically appear when AI systems recommend Roth IRA providers?
  • Which competitors hold recommendation-stage strength ahead of Vanguard in the category?

Fidelity and Charles Schwab hold recommendation-stage strength in the Roth IRAs category, with Fidelity leading on both top-three and rank-one rates. Vanguard sits in the middle tier, ahead of E*TRADE, SoFi, and the smaller brands but well behind the two leaders on first-position strength.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Fidelity

86.10%

57.92%

1.39

0.9050

Charles Schwab

80.50%

23.36%

2.06

0.8971

Vanguard

38.80%

2.32%

3.77

0.8715

Robinhood

25.29%

4.25%

3.86

0.8619

SoFi

8.69%

0.58%

4.78

0.9004

E*TRADE

7.72%

0.19%

4.63

0.8289

Betterment LLC

2.32%

0.19%

4.71

0.9466

Merrill Edge

0.97%

0.19%

5.73

0.7525

M1 Finance

0.97%

0.00%

5.05

0.7414

Wealthfront Corporation

0.58%

0.19%

5.49

0.8806

Average recommended rank covers rank-eligible recommendations only.

Vanguard's 38.80% top-three rate places it third in the category, but its 2.32% rank-one rate places it fourth, behind Robinhood. The average recommended rank of 3.77 confirms that when Vanguard is recommended, it typically appears in the third or fourth position rather than at the top of the shortlist.

AI Response Inconsistency Alerts

Questions This Section Answers

  • What conflicting information did Copilot and Perplexity provide about Vanguard's Roth IRA account minimum?
  • Which sources contributed to the conflicting account minimum claims?
  • Why does the account minimum inconsistency matter for Vanguard's AI recommendation visibility?

One high-severity factual inconsistency was detected for Vanguard across two AI platforms: Copilot and Perplexity. The conflict concerns Vanguard's Roth IRA account minimum.

When asked "What is the best place to open a Roth IRA?", Perplexity stated that Vanguard has "no minimums," citing NerdWallet, SmartAsset, and Investopedia as sources. Copilot, responding to the same question, stated that Vanguard requires a "$1,000 minimum," citing Business Insider, Young and the Invested, and GrokTrade as sources. Vanguard cannot both have no account minimum and require $1,000 to open a Roth IRA.

The flagged sources include a Business Insider page that contains both claims in close proximity, with an excerpt reading "Account Minimum $1,000 ... No minimums or fees and certified financial planner access with SoFi Plus." This suggests the source page may be conflating Vanguard's requirements with another provider's terms. An Investopedia page cited by Perplexity states "No Roth IRA account fees or minimums to open," supporting the no-minimum claim. A GrokTrade page cited by Perplexity references Fidelity's no-minimum policy, which may be contributing to cross-brand confusion in the source layer.

This inconsistency matters because account minimum is a pricing-sensitive attribute that buyers weigh when choosing a Roth IRA provider. When AI platforms provide conflicting information about a brand's minimum, recommendation confidence may be suppressed, particularly on prompts where cost or accessibility is a deciding factor.

Prompt Evidence

Perplexity / Brand Recommendation

Prompt: "What is the best place to open a Roth IRA?"

Result: Perplexity stated Vanguard has no account minimums, citing NerdWallet, SmartAsset, and Investopedia, while Copilot stated Vanguard requires a $1,000 minimum, citing Business Insider and other sources.

Copilot / Brand Recommendation

Prompt: "What is the best Roth IRA right now?"

Result: Vanguard was included in the recommendation set with 68.2% valid recommendation coverage on Copilot, but its rank-one rate on that platform is 0.0%, meaning it was never selected first.

Google AI Overviews / Brand Recommendation

Prompt: "What is the best Roth IRA to open?"

Result: Vanguard appeared with 62.2% valid recommendation coverage and a 40.7% top-three rate on Google AI Overviews, its strongest platform signal in the dataset.

ChatGPT / Brand Recommendation

Prompt: "What brokerage account is the best?"

Result: Vanguard held 74.0% valid recommendation coverage on ChatGPT but a 0.0% rank-one rate, appearing in recommendation sets without being selected first.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Vanguard is mentioned but not recommended first, and identify which competitors are taking the primary position on those prompts.

Phase 2: Recommendation Readiness Plan Prioritize the Copilot and Perplexity account minimum inconsistency and define the correct, current, and consistent answer for Vanguard's Roth IRA requirements.

Phase 3: Owned Answer Layer Buildout Build or update owned pages that clearly state Vanguard's Roth IRA account minimum, fee structure, and eligibility so AI systems have an authoritative source to retrieve.

Phase 4: Citation / Authority Layer Development Identify which third-party sources AI platforms are citing for Vanguard's Roth IRA terms and work to correct or supplement conflicting source material.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Vanguard's rank-one rate, top-three rate, and presence rate month over month to confirm whether recommendation conversion improves as source consistency improves.

Why This Matters

AI presence alone is not enough. Vanguard is mentioned in three out of four qualified AI answers about Roth IRAs, but it is selected first only 2.3% of the time. Buyers who ask AI systems for a Roth IRA recommendation are seeing Vanguard as an option, not as the answer.

The next move is targeted correction of the prompt, page, and citation layers. The account minimum inconsistency on Copilot and Perplexity is a concrete example of how conflicting source material can undermine recommendation confidence. Resolving that inconsistency and ensuring that authoritative, current, and consistent source material is retrievable is the clearest path from reference to recommendation.

Core Metrics

Metric

Value

Mentions

389

Valid recommendations

337

Top 3 recommendation count

201

Rank #1 recommendation count

12

Average recommended rank

3.77

Positive mentions

344

Neutral mentions

40

Negative mentions

5

Raw mention presence rate

75.10%

Valid recommendation coverage

65.06%

Top 3 recommendation rate

38.80%

Rank #1 recommendation rate

2.32%

Net sentiment score

0.8715

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For Vanguard in October 2026: (344 × 1 + 40 × 0 + 5 × -1) / 389 = 339 / 389 = 0.8715.

This score matters because unclassified mention counts are misleading. A brand that appears in 389 answers but is framed negatively in a third of them is in a different position than a brand with the same mention count and no negative framing. Vanguard's 0.8715 score indicates that the vast majority of its mentions are positive or neutral.

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. Classified sentiment is required before interpreting AI visibility, and Vanguard's classified sentiment is strong.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

41

39

2

0

0.9512

Present, but not recommendation-led

Copilot

68

59

8

1

0.8529

Present as context, not recommendation

Gemini

31

20

9

2

0.5806

Positive, but sample too small

Perplexity

59

58

1

0

0.9831

Strongest public recommendation signal

Google AI Mode

91

82

8

1

0.8901

Present, but not recommendation-led

Google AI Overviews

99

86

12

1

0.8586

Strongest public recommendation signal

Methodology

  1. This report is a benchmark-based analysis of Vanguard'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 qualified benchmark set contains 518 observations in October 2026, down from 697 in July 2026. Brand-level percentages use the qualified set as the denominator, not the 800 raw prompts collected.
  5. Ten companies were tracked in the competitor universe: 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 October 2026: Brand Recommendation (C01). The Pricing & Value and Multi-Brand Comparison clusters 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 Vanguard appears in a qualified AI answer, regardless of recommendation status.
  9. A valid recommendation is counted when Vanguard appears in a valid recommendation shortlist, as marked by the dataset. Negative, neutral, cautionary, and listed-only mentions are not counted as valid recommendations.
  10. Top-three rate and rank-one rate are calculated against the qualified observation set. Average recommended rank covers rank-eligible recommendations only.
  11. The account minimum inconsistency was detected across Copilot and Perplexity with high severity and high confidence. It is reported as a factual conflict, not as a verified error by any single platform.
  12. Entity labels changed within the series. Betterment, Betterment LLC, Wealthfront, and Wealthfront Corporation appear as distinct series. The zero readings on the original labels and the first appearances of the new labels occur in the same month and should be read together.

See How AI Is Recommending Your Brand

The public benchmark shows where Vanguard stands in AI recommendations across the Roth IRAs category. A company-level AI visibility audit maps the specific prompts, competitors, and sources shaping those recommendations into a prioritized strategy. If you want to see which prompts Vanguard is winning, which competitors are taking the primary recommendation when Vanguard is mentioned, and which sources AI platforms are citing, an AI visibility audit can show you the mechanism behind the numbers.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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