E*TRADE AI Visibility Market Strategy Report - Roth IRAs

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • E\*TRADE’s valid recommendation coverage reached 48.07% in October 2026, but top-three placement stayed low at 7.72%.
  • The brand’s strongest platform was ChatGPT, where it achieved 72.00% coverage and its highest recommendation performance.
  • Copilot was the clearest gap: E\*TRADE recorded 40 valid recommendations there but no rank-one placements.
  • The main opportunity is to turn broader presence in Roth IRA answers into stronger first-choice and top-three recommendations.

Answer Capsule

ETRADE holds 48.07% valid recommendation coverage in the Roth IRAs category for October 2026, placing it fifth of ten tracked brands. The benchmark shows strong presence growth, with raw mention presence up 18.2 points to 57.53%, but recommendation placement remains shallow: the brand converts coverage into top-three placements at only 7.72% and rank-one placements at 0.19%. The clearest win is the largest single-month coverage acceleration in the series, up 23.7 points from September 2026. The clearest gap is first-choice strength, where ETRADE trails Fidelity by 57.73 points on rank-one rate despite appearing in more than half of qualified answers.

Who This Report Is For

This report is for E*TRADE marketing, brand, and digital strategy leaders who need to understand how AI systems recommend Roth IRA providers and where the brand is losing the buyer shortlist at the recommendation stage.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

E*TRADE

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 qualified (Brand Recommendation)

AI observations analyzed

518 qualified observations from 800 prompt-surface observations

Competitors tracked

9

Executive Summary

E*TRADE is visible but under-recommended in the Roth IRAs category. The brand appeared in 298 of 518 qualified observations in October 2026, a raw mention presence rate of 57.53%, yet it earned valid recommendation credit in only 249 observations, a coverage rate of 48.07%. That gap between presence and recommendation is the defining pattern in this report.

The brand's October 2026 position reflects real momentum. Valid recommendation coverage rose 20.7 points from 27.4% in July 2026 to 48.07% in October 2026, and the single-month move from September 2026 was 23.7 points, the largest single-month acceleration in the tracked series. Raw mention presence rose 18.2 points over the same baseline period.

Recommendation placement did not follow coverage at the same pace. E*TRADE recorded 40 top-three placements and 1 rank-one placement on a base of 249 valid recommendations. The top-three rate of 7.72% and rank-one rate of 0.19% place the brand well behind Fidelity (86.10% top-three, 57.92% rank-one) and Charles Schwab (80.50% top-three, 23.36% rank-one), and also behind Robinhood (25.29% top-three) and Vanguard (38.80% top-three).

The strongest platform signal for E*TRADE is ChatGPT, where the brand recorded 72.00% valid recommendation coverage and 36 valid recommendations, the highest platform-level coverage in the brand's profile. The weakest platform signal is Copilot, where coverage stood at 47.06% with 40 valid recommendations and a rank-one rate of 0.00%.

Sentiment is positive but not perfect. E*TRADE recorded 252 positive mentions, 41 neutral mentions, and 5 negative mentions, producing a net sentiment score of 0.8289. That is the lowest net sentiment score among the top six brands by coverage, suggesting that framing quality is a secondary concern behind the primary challenge of recommendation conversion.

The clearest opportunity is to convert E*TRADE's expanded presence into top-three and first-position recommendations. The brand now appears in more than half of qualified answers but rarely takes the primary recommendation. Closing that placement gap is the highest-leverage move available in this category.

What E*TRADE Is Winning

Questions This Section Answers

  • Where did E*TRADE post its largest single-month coverage gain?
  • Which platform is E*TRADE's strongest for recommendation coverage, and how strong is it?
  • Does E*TRADE's sentiment suggest a reputational problem or a placement problem?

E*TRADE recorded the largest single-month coverage acceleration in the tracked series, rising 23.7 points from September 2026 to October 2026. No other brand posted a comparable single-month move in the benchmark period.

The brand's baseline coverage gain of 20.7 points from July 2026 to October 2026 is the second-largest four-month increase among brands with a full measurement history, behind only Betterment LLC's entry from a zero baseline. Among brands tracked continuously since July 2026, E*TRADE's gain is the largest.

ChatGPT is E*TRADE's strongest platform by recommendation behavior. The brand recorded 72.00% valid recommendation coverage on ChatGPT, with 36 valid recommendations and a rank-one rate of 2.00%. That coverage level is the highest the brand achieved on any tracked platform.

E*TRADE's net sentiment score of 0.8289 reflects a predominantly positive framing environment. With 252 positive mentions against only 5 negative mentions, the brand is not facing a reputational headwind in AI-generated responses. The challenge is placement, not perception.

Where E*TRADE Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How does E*TRADE's coverage-to-top-three conversion compare with Fidelity and Charles Schwab?
  • Where does the first-choice gap show up most clearly across the tracked set?
  • Which platform shows E*TRADE earning recommendations without any rank-one placements?

The primary gap is recommendation placement. E*TRADE's 48.07% valid recommendation coverage converts into a top-three rate of only 7.72% and a rank-one rate of 0.19%. By comparison, Fidelity converts 90.35% coverage into an 86.10% top-three rate and a 57.92% rank-one rate. Charles Schwab converts 89.38% coverage into an 80.50% top-three rate and a 23.36% rank-one rate. Even Vanguard, with lower coverage at 65.06%, achieves a 38.80% top-three rate.

The gap is most visible at the first-choice level. ETRADE recorded 1 rank-one placement across 518 qualified observations. Fidelity recorded 300. Charles Schwab recorded 121. Robinhood recorded 22. Vanguard recorded 12. SoFi recorded 3. ETRADE's rank-one rate of 0.19% places it near the bottom of the tracked set on first-choice strength.

Copilot represents a specific platform gap. ETRADE's Copilot coverage stood at 47.06% with a rank-one rate of 0.00%. The brand earned 40 valid recommendations on Copilot but never achieved a first-position placement. This is the only tracked platform where ETRADE recorded zero rank-one placements despite meaningful recommendation volume.

The brand's presence-to-recommendation conversion rate is also worth noting. ETRADE appeared in 298 observations but earned valid recommendation credit in only 249, a conversion rate of 83.56%. Fidelity converted 516 mentions into 468 valid recommendations, a rate of 90.70%. Charles Schwab converted 515 mentions into 463 valid recommendations, a rate of 89.90%. ETRADE's conversion rate trails both leaders, suggesting that when the brand appears, it is less likely to be framed as a recommendation.

Biggest Opportunity

Questions This Section Answers

  • What is the highest-leverage move for converting E*TRADE's presence into recommendations?
  • Which citation sources should E*TRADE strengthen to improve its Roth IRA recommendation placement?

The single biggest opportunity for E*TRADE is to convert its expanded presence into top-three and first-position recommendations within the Brand Recommendation cluster. The brand now appears in more than half of qualified answers about Roth IRA provider selection, but it rarely earns the primary recommendation.

The path from reference to recommendation runs through the evidence layer that AI systems retrieve and synthesize. E*TRADE's coverage gains on ChatGPT and Google AI Mode suggest that the brand is becoming more visible in the source material these platforms draw from. The next step is to ensure that the brand's differentiators, including its trading platform capabilities, account features, and beginner-friendly positioning, are clearly articulated in the pages and sources that AI systems cite when forming recommendations.

The benchmark's citation data shows that review and comparison sites dominate the top cited domains, with nerdwallet.com, investopedia.com, and fool.com leading. Only one tracked brand domain, fidelity.com, appears in the top 10 cited domains. E*TRADE's opportunity is to strengthen its presence in the comparison and review sources that AI systems rely on when forming Roth IRA recommendations.

Competitive Landscape

Questions This Section Answers

  • Where does E*TRADE rank on top-three and rank-one rates against the other tracked brands?
  • What does E*TRADE's average recommended rank say about where it appears on the shortlist?

Fidelity and Charles Schwab hold dominant recommendation-stage strength in the Roth IRAs category, with Fidelity leading on both top-three and rank-one rates. E*TRADE sits in the middle tier, ahead of Betterment LLC, Merrill Edge, Wealthfront Corporation, and M1 Finance on coverage but well behind the leaders on placement quality.

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

E*TRADE

7.72%

0.19%

4.63

0.8289

SoFi

8.69%

0.58%

4.78

0.9004

Betterment LLC

2.32%

0.19%

4.71

0.9466

Merrill Edge

0.97%

0.19%

5.73

0.7525

Wealthfront Corporation

0.58%

0.19%

5.49

0.8806

M1 Finance

0.97%

0.00%

5.05

0.7414

Average recommended rank covers rank-eligible recommendations only.

ETRADE's position in the table shows a brand with meaningful coverage but limited placement strength. The 7.72% top-three rate places it fifth of ten, and the 0.19% rank-one rate places it in a cluster with Betterment LLC, Merrill Edge, and Wealthfront Corporation, all of which recorded a single rank-one placement. The average recommended rank of 4.63 indicates that when ETRADE is recommended, it typically appears in the middle of the shortlist rather than at the top.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "What is the best Roth IRA right now?" Result: E*TRADE appeared in the recommendation set with positive framing, contributing to its 72.00% coverage rate on ChatGPT, but did not achieve a top-three placement on this prompt type.

Copilot / Brand Recommendation Prompt: "What brokerage account is the best?" Result: E*TRADE was mentioned and received valid recommendation credit, but the brand recorded zero rank-one placements on Copilot despite 40 valid recommendations, indicating presence without first-choice strength.

Google AI Mode / Brand Recommendation Prompt: "Which brokerage is good for beginners?" Result: E*TRADE appeared in the recommendation set with a 53.78% coverage rate on Google AI Mode, reflecting the brand's relevance to beginner-focused queries but again without top-three placement.

Perplexity / Brand Recommendation Prompt: "What is the best app to start investing on?" Result: E*TRADE received valid recommendation credit with a 54.55% coverage rate on Perplexity, contributing to the brand's overall coverage but not converting to a top-three position.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map E*TRADE's prompt-level wins and losses across all six tracked platforms, identifying the specific queries where the brand appears but does not convert to a top-three recommendation.

Phase 2: Recommendation Readiness Plan Prioritize the prompts and clusters where E*TRADE has the highest presence-to-placement gap, focusing on the Brand Recommendation cluster where all qualified observations reside.

Phase 3: Owned Answer Layer Buildout Strengthen E*TRADE's owned pages and content to clearly articulate differentiators that AI systems can retrieve and synthesize when forming Roth IRA recommendations.

Phase 4: Citation / Authority Layer Development Increase E*TRADE's presence in the review, comparison, and news sources that AI systems cite most frequently, including nerdwallet.com, investopedia.com, and fool.com.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track E*TRADE's coverage, top-three rate, and rank-one rate month over month to measure whether placement is improving alongside presence.

Why This Matters

AI presence alone is not enough. E*TRADE's October 2026 results show a brand that has successfully expanded its visibility in AI-generated answers about Roth IRAs but has not yet converted that visibility into recommendation placement. The brand appears in more than half of qualified answers but earns a top-three placement in fewer than one in twelve.

The next move is targeted correction of the prompt, page, and citation layers. E*TRADE needs to ensure that the sources AI systems retrieve when forming Roth IRA recommendations clearly position the brand as a top choice, not just a mentioned option. That means strengthening the brand's presence in comparison and review sources, clarifying differentiators on owned pages, and tracking whether those changes move the brand from presence to placement.

Core Metrics

Metric

Value

Mentions

298

Valid recommendations

249

Top 3 recommendation count

40

Rank #1 recommendation count

1

Average recommended rank

4.63

Positive mentions

252

Neutral mentions

41

Negative mentions

5

Raw mention presence rate

57.53%

Valid recommendation coverage

48.07%

Top 3 recommendation rate

7.72%

Rank #1 recommendation rate

0.19%

Net sentiment score

0.8289

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

ChatGPT (72.00% coverage)

Sentiment Score

Questions This Section Answers

  • How is E*TRADE's sentiment score calculated, and what does it reveal beyond raw mention counts?
  • Why does E*TRADE's raw presence overstate its recommendation strength?

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

For E*TRADE in October 2026: (252 × 1 + 41 × 0 + 5 × -1) / 298 = 247 / 298 = 0.8289.

This score matters because unclassified mention counts are misleading. 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. E*TRADE's 298 mentions include 41 neutral references and 5 negative mentions, which means the brand's raw presence overstates its recommendation strength.

Share of voice is a diagnostic metric, not a business KPI. ETRADE's 57.53% presence rate tells you the brand is visible, but the 48.07% valid recommendation coverage and 7.72% top-three rate tell you how often that visibility converts to a recommendation. Classified sentiment is required before interpreting AI visibility, and ETRADE's net sentiment score of 0.8289 indicates a positive but not uniformly enthusiastic framing environment.

Sentiment by Platform

Questions This Section Answers

  • Which platforms show the strongest sentiment for E*TRADE, and where is negative framing present?
  • Where does E*TRADE's platform sentiment diverge from its recommendation behavior?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

39

36

3

0

0.9231

Strongest platform by coverage and sentiment

Copilot

49

41

7

1

0.8163

Present, but no rank-one placements

Gemini

32

17

12

3

0.4375

Positive, but sample too small and negative framing present

Perplexity

51

49

2

0

0.9608

Strongest public recommendation signal by sentiment

Google AI Mode

70

64

6

0

0.9143

High presence, moderate placement

Google AI Overviews

57

45

11

1

0.7719

Present as context, not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of E*TRADE's AI recommendation visibility in the Roth IRAs category for October 2026. It is not a client implementation case study.
  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 after deduplication.
  5. Of the 800 observations, 579 were relevant to the Roth IRAs vertical and 221 were filtered as irrelevant, yielding 518 qualified observations for the public denominator.
  6. 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.
  7. One public high-intent cluster was qualified for analysis: Brand Recommendation (C01). The Pricing & Value and Multi-Brand Comparison clusters recorded no qualified observations in this period.
  8. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
  9. A mention is defined as any appearance of the brand in a qualified observation, regardless of recommendation status.
  10. A valid recommendation is defined as an observation where the brand appears in a valid recommendation shortlist, as marked by the dataset.
  11. Brand-level percentages use the 518 qualified observations as the public denominator, not the 800 raw prompts collected.
  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.
  13. Directional analysis identifies movement worth investigating; it does not establish cause. The October 2026 advances and declines are benchmark movements, not outcomes attributable to any single factor.
  14. The public 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.

See How AI Is Recommending Your Brand

The public benchmark shows where E*TRADE stands in AI-generated Roth IRA recommendations. A company-level AI visibility audit maps the specific prompts, competitors, and sources shaping those recommendations into a prioritized strategy. That analysis turns a category-level observation into a brand-level action plan.

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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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