Vanguard AI Market Strategy Report - Roth IRAs

Answer Capsule

Vanguard holds the third-largest recommendation footprint in the Roth IRA category, with 69.69% valid recommendation coverage in September 2026, up 1.0 point from July 2026. The brand is visible in 83.59% of qualified AI answers, yet it converts that presence into a first-position recommendation only 1.25% of the time, the widest presence-to-rank-one gap among the category's top three. Vanguard's clearest win is its 37.19% top-three rate, which rose 4.9 points since July 2026. Its clearest weakness is first-choice conversion, where Fidelity and Charles Schwab hold 47.03% and 14.84% rank-one rates respectively. The clearest opportunity sits in the Brand Recommendation cluster, where Vanguard appears in shortlists but rarely earns the primary recommendation.

Who This Report Is For

This report is written for Vanguard's brand, growth, and digital strategy teams, and for retirement and brokerage marketing leaders who need to understand how AI systems position Vanguard against Fidelity, Charles Schwab, and the rest of the Roth IRA provider set at the moment buyers ask which provider to choose.

Report Card

Executive Summary

Vanguard is the third most recommended Roth IRA provider in the September 2026 LLM Authority Index benchmark, with 69.69% valid recommendation coverage across 640 qualified observations. That places it behind Fidelity at 85.78% and Charles Schwab at 83.75%, and ahead of Robinhood at 66.87%. Vanguard's coverage rose 1.0 point from the July 2026 baseline of 68.69%, a stable result within normal month-to-month variation.

The brand's raw mention presence rate is 83.59%, up 2.7 points from July 2026. Vanguard is therefore surfaced in the large majority of qualified AI answers about Roth IRA selection. The gap between that presence and its recommendation coverage is 13.9 points, and the gap between presence and first-position recommendation is far wider.

Vanguard's framing is strongly positive. Of 535 mentions in September 2026, 490 were positive, 40 were neutral, and 5 were negative, producing a net sentiment score of 0.9065. That is the third-highest framing score among tracked brands, behind SoFi at 0.9509 and Fidelity at 0.9246, and it indicates that when AI systems discuss Vanguard, the framing is overwhelmingly favorable.

The strongest cluster signal is the Brand Recommendation cluster, which absorbed all 640 qualified observations in September 2026. Within that cluster Vanguard earned 446 valid recommendations and 238 top-three placements, a 37.19% top-three rate that rose 4.9 points from 32.27% in July 2026. That improvement approaches significance and represents the brand's clearest positive movement in the benchmark.

The weakest signal is first-position conversion. Vanguard's rank-one rate is 1.25%, meaning AI systems name Vanguard as the single best Roth IRA provider in roughly 8 of 640 qualified answers. Fidelity holds a 47.03% rank-one rate and Charles Schwab holds 14.84%. Vanguard's 69.69% coverage is closer to Charles Schwab's 83.75% than its 1.25% rank-one rate is to Charles Schwab's 14.84%.

The strongest platform signal for Vanguard is Google AI Mode, where the brand holds 77.30% valid recommendation coverage and a 46.01% top-three rate across 163 observations. The clearest platform gap is Gemini, where Vanguard's coverage falls to 52.17% and its rank-one rate is 0.00%. Perplexity and Copilot both show Vanguard above 70% coverage, while ChatGPT sits at 73.08%.

A notable pattern in the benchmark is that Vanguard's August 2026 coverage surge to 74.2% was partially reversed in September 2026, with a 4.5-point decline that left the brand within normal variation of its July baseline. The top-three gain held even as the coverage surge receded, which suggests the placement improvement is more durable than the headline coverage number.

What Vanguard Is Winning

Questions This Section Answers

• Where is Vanguard gaining ground in AI answers about Roth IRAs?
• Which platforms and framings show the strongest evidence-backed wins for Vanguard?
• How durable is Vanguard's top-three placement improvement compared to its coverage movement?

Vanguard's clearest evidence-backed win is its top-three placement trajectory. The brand's top-three rate rose from 32.27% in July 2026 to 37.19% in September 2026, a 4.9-point gain that approaches significance. That means AI systems are placing Vanguard inside the recommended shortlist more often, even though the brand's overall coverage moved only 1.0 point.

The second win is framing quality. Vanguard's net sentiment score of 0.9065 across 535 mentions places it in the top three of the category on framing, with only 5 negative mentions recorded across the entire September 2026 qualified set. There is no meaningful negative framing problem in the public evidence layer for this brand.

The third win is Google AI Mode performance. Across 163 qualified observations on that surface, Vanguard holds 77.30% valid recommendation coverage and a 46.01% top-three rate, with 126 valid recommendations. Google AI Mode is the largest single surface in the benchmark by observation count, and Vanguard performs above its category average there.

The fourth win is presence breadth. At 83.59% raw mention presence, Vanguard is surfaced in more than four of every five qualified AI answers about Roth IRA selection. Only Fidelity at 99.53% and Charles Schwab at 98.28% are meaningfully ahead. Vanguard is not a discoverability problem.

Where Vanguard Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Vanguard's presence in AI answers fail to convert into first-position recommendations?
• How does Vanguard's rank-one rate on Gemini compare to its category-wide performance?
• What missing pricing and comparison signals limit Vanguard in the Roth IRA buyer journey?

The dominant gap is first-choice conversion. Vanguard appears in 83.59% of qualified answers and earns a valid recommendation in 69.69% of them, but it is named first in only 1.25%. Fidelity converts 99.53% presence into a 47.03% rank-one rate. Charles Schwab converts 98.28% presence into a 14.84% rank-one rate. Vanguard's presence is within 15 points of Charles Schwab's, but its rank-one rate is roughly one-twelfth of Charles Schwab's.

The second gap is the Gemini surface. Vanguard's valid recommendation coverage on Gemini is 52.17%, well below its 69.69% category-wide figure, and its rank-one rate on that surface is 0.00% across 69 observations. Gemini is the smallest surface in the benchmark by observation count, but the coverage shortfall is the largest platform-level gap in Vanguard's profile.

The third gap is the absence of pricing, value, and head-to-head comparison signal. All 640 qualified observations in September 2026 fell into the Brand Recommendation cluster. The Pricing and Value cluster and the Multi-Brand Comparison cluster recorded zero qualified observations. Vanguard therefore has no measurable public signal for how AI systems frame its fees, costs, or direct comparisons against Fidelity and Charles Schwab, even though those are the questions buyers ask closest to a decision.

The fourth gap is the August-to-September reversal. Vanguard's coverage rose 5.5 points to 74.2% in August 2026 and then declined 4.5 points to 69.7% in September 2026. The brand did not hold the August gain. The top-three improvement did hold, which suggests the coverage surge was driven by a set of prompts that did not repeat, while the placement improvement came from a more stable source.

Biggest Opportunity

Questions This Section Answers

• What is the highest-leverage way for Vanguard to convert shortlist presence into primary recommendations?
• Why is first-position conversion the most actionable target for Vanguard in the Brand Recommendation cluster?

Vanguard's single biggest opportunity is converting its already-strong shortlist presence into first-position recommendations inside the Brand Recommendation cluster. The brand is already in the answer, already framed positively, and already inside the top three in 37.19% of qualified observations. The missing step is the primary recommendation, which currently lands at 1.25%.

That conversion gap is the highest-leverage target in Vanguard's profile because it does not require new discoverability. It requires the public evidence layer that AI systems retrieve when they decide which provider to name first. The benchmark shows Fidelity earning the primary recommendation in nearly half of all qualified answers, and Charles Schwab converting a stable presence into a rising rank-one rate. Vanguard's own top-three gain shows the placement layer is already moving in the right direction.

Competitive Landscape

Questions This Section Answers

• How does Vanguard compare to Fidelity and Charles Schwab on first-choice conversion in Roth IRA recommendations?
• Where does Vanguard sit in the Roth IRA provider set on coverage versus rank-one rate?

Fidelity and Charles Schwab hold recommendation-stage strength in the Roth IRA category, with Fidelity dominant on first-position recommendations and Charles Schwab strengthening its rank-one rate. Vanguard sits clearly third, ahead of Robinhood and Betterment on coverage but far behind the two leaders on first-choice conversion.

Average recommended rank covers rank-eligible recommendations only.

Vanguard's position in the table shows a brand with a real shortlist footprint and a very thin first-choice footprint. Its 37.19% top-three rate is more than three times Robinhood's 11.25%, but its 1.25% rank-one rate is below Robinhood's 1.56% and below Wealthfront's 2.66%. The average recommended rank of 3.36 places Vanguard third in the category, consistent with its coverage position, but well behind Fidelity at 1.41 and Charles Schwab at 2.08.

Prompt Evidence

Questions This Section Answers

• What do individual AI prompts reveal about where Vanguard earns top-three placements but loses the primary recommendation?
• Which platforms show Vanguard present but not first when buyers ask which Roth IRA provider is best?

Google AI Mode / Brand Recommendation Prompt: "What is the best Roth IRA right now?" Result: Vanguard appeared in the recommendation set with a top-three placement, consistent with its 46.01% top-three rate on this surface, but did not take the first position.

Gemini / Brand Recommendation Prompt: "best roth ira accounts" Result: Vanguard was mentioned in the answer but recorded no rank-one credit on Gemini, where its rank-one rate is 0.00% across 69 observations.

ChatGPT / Brand Recommendation Prompt: "What bank is the best for investing?" Result: Vanguard was surfaced with a valid recommendation, contributing to its 73.08% coverage on ChatGPT, but the primary recommendation on this surface more often went to Fidelity or Charles Schwab.

Google AI Overviews / Brand Recommendation Prompt: "What is the best Roth IRA to open?" Result: Vanguard appeared with a valid recommendation and a top-three placement, consistent with its 70.45% coverage and 46.02% top-three rate on Google AI Overviews.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the exact prompts, surfaces, and competitor placements behind Vanguard's 1.25% rank-one rate, and isolate which answer types consistently name Fidelity or Charles Schwab first.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation cluster prompts where Vanguard already earns a top-three placement but not the primary recommendation, and define the evidence those answers need to convert.

Phase 3: Owned Answer Layer Buildout Strengthen Vanguard's owned pages around the specific Roth IRA selection questions where the brand is present but not chosen, so the retrievable answer layer matches the questions AI systems are answering.

Phase 4: Citation and Authority Layer Development Build the public evidence layer that supports first-position recommendations, including the source types AI systems appear to retrieve when they name a primary provider.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and framing by surface each month, with Gemini and the August-to-September reversal pattern as named watch items.

Why This Matters

Questions This Section Answers

• What does Vanguard's first-choice conversion gap mean for buyers deciding between Roth IRA providers?
• Why is being recommended without being named first a material outcome for Vanguard in AI answers?

Vanguard is already in the room. The benchmark shows the brand surfaced in 83.59% of qualified AI answers and recommended in 69.69% of them. What it does not show is Vanguard being named first. At a 1.25% rank-one rate, the brand is a frequent shortlist entry and a rare primary recommendation, while Fidelity takes the first position in nearly half of all qualified answers.

For a buyer asking an AI system which Roth IRA provider to choose, that difference is the whole decision. Presence without first-choice conversion means Vanguard is compared, considered, and then passed over in the answer itself. The next move is targeted correction of the prompt, page, and citation layers that shape the primary recommendation, starting with the Brand Recommendation cluster where Vanguard's top-three rate is already climbing.

Core Metrics

Sentiment Score

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

For Vanguard in September 2026: (490 × 1 + 40 × 0 + 5 × -1) / 535 = 0.9065.

This matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI answers and still lose the recommendation if those appearances are neutral references, cautionary notes, or comparison anchors. Counting every mention as a win would make Vanguard look stronger than it is, because 40 of its 535 mentions were neutral and 5 were negative.

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 events. Vanguard's 0.9065 score tells us the framing is strongly favorable, but it does not tell us whether the brand is being chosen. The rank-one rate of 1.25% answers that separate question.

Classified sentiment is required before interpreting AI visibility. Vanguard's high sentiment score and low rank-one rate are not in conflict. They describe two different things: how the brand is described when it appears, and how often it is named first. Both matter, and they need to be read separately.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Vanguard's position in the Roth IRAs category, drawn from the LLM Authority Index AI Market Discovery Index for September 2026. It is not a client implementation result.
2. The reporting window is September 2026, with July 2026 as the baseline comparison month and August 2026 included where the benchmark reports it.
3. Six AI and search surfaces were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The September 2026 run began with 800 source prompt-surface observations and produced 640 qualified observations after qualification.
5. The competitor universe contains 10 tracked brands: Betterment, Charles Schwab, E*TRADE, Fidelity, M1 Finance, Merrill Edge, Robinhood, SoFi, Vanguard, and Wealthfront.
6. Three public clusters were defined: Best IRA Accounts and Top IRA Providers (consideration), IRA Comparisons and Account Type Evaluations (evaluation), and IRA Fees, Costs and Pricing Comparisons (decision). Only the first cluster recorded qualified observations in September 2026.
7. Stage 0 extraction retains the query, surface, 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 answer, regardless of recommendation status.
9. A valid recommendation is counted when a brand appears in a recommendation shortlist, as marked by the dataset. Neutral, cautionary, and listed-only mentions are not counted as valid recommendations.
10. Brand-level percentages use the 640 qualified observations as the public denominator, not the 800 raw prompts collected.
11. Unique questions totaled 577 in September 2026, up from 532 in July 2026. The public benchmark does not expose a per-brand unique prompt count.
12. Single-month movements should not be read as sustained trends without confirming data. Small recommendation bases elsewhere in the category illustrate how limited samples affect percentage movement; Vanguard's own base of 446 valid recommendations is large enough to support the readings in this report.

See How AI Is Recommending Your Brand

The public benchmark shows where Vanguard stands in AI recommendations across the Roth IRA category. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind those numbers, and turns a category-level position into a prioritized plan for winning the primary recommendation.