E*TRADE AI Market Strategy Report - IRAs

Answer Capsule

E*TRADE posted the largest single-month coverage gain in the IRAs category, rising 18.0 percentage points to 46.4% valid recommendation coverage in September 2026. The brand is being surfaced across far more queries, but it is not yet converting that presence into top-tier recommendation placement, with a top-three rate of just 4.81% and a rank-one rate of 0.58%. The clearest win is the significant breadth expansion in raw mention presence, while the clearest weakness is the large gap between presence and recommendation prominence. The clearest opportunity is converting the newly expanded mention base into higher recommendation placement through targeted IRA discovery and comparison content.

Who This Report Is For

This report is for IRA and brokerage marketing, brand, and growth leaders tracking how AI assistants shape provider selection and competitive visibility at the recommendation stage.

Report Card

Executive Summary

E*TRADE holds a 59.62% raw mention presence rate in September 2026, up sharply from 38.8% in July 2026, but its valid recommendation coverage sits at 46.35%, meaning the brand is mentioned in roughly six of ten qualified observations yet recommended in fewer than five. The gap between presence and recommendation conversion is the defining feature of E*TRADE's current AI visibility profile.

The brand recorded 310 total mentions across 520 qualified observations, with 260 positive, 45 neutral, and 5 negative. That distribution produces a net sentiment score of 0.8226, indicating that when E*TRADE appears, the framing is predominantly favorable. The challenge is not how the brand is discussed, but how often it is actually selected for recommendation shortlists.

E*TRADE's strongest cluster is the Brand Recommendation discovery cluster, which accounts for all 520 qualified observations in this reporting period. The brand's valid recommendation coverage of 46.35% places it sixth among the ten tracked competitors, behind Fidelity, Charles Schwab, Robinhood, Vanguard, and narrowly ahead of SoFi.

The strongest platform signal comes from ChatGPT, where E*TRADE achieves a 63.04% valid recommendation coverage rate, well above its category-wide average. The clearest platform gap is on Gemini, where valid recommendation coverage falls to 35.29% and the top-three rate is 0.00%, indicating the brand is present but rarely positioned as a leading option.

The benchmark shows E*TRADE is in a transition phase: the significant rise in mention presence and recommendation coverage demonstrates growing AI system awareness, but recommendation placement has not yet caught up with that expanded presence.

What E*TRADE Is Winning

Questions This Section Answers

• How much did E*TRADE's valid recommendation coverage grow in September 2026?
• Where does E*TRADE show its strongest platform-specific recommendation strength?

ETRADE's most significant win in September 2026 is the largest single-month coverage gain in the IRAs category. Valid recommendation coverage rose 18.0 percentage points from July 2026 to September 2026, reaching 46.35%, with the move concentrated in a single month. This is a breadth story: raw mention presence climbed 20.8 percentage points over the same period, showing that AI systems are now surfacing ETRADE across far more IRA discovery queries.

The brand also shows a meaningful pocket of strength on ChatGPT, where valid recommendation coverage reaches 63.04%, substantially higher than its category-wide rate. This suggests that on at least one major platform, E*TRADE is being recommended at a level closer to the category leaders.

E*TRADE maintains a positive framing profile with a net sentiment score of 0.8226 and only 5 negative mentions out of 310 total mentions. When the brand appears in AI responses, the context is overwhelmingly constructive.

Where E*TRADE Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How wide is the gap between E*TRADE's presence rate and its top-three recommendation rate?
• Why is Gemini a specific placement problem for E*TRADE despite high presence?

The clearest gap for E*TRADE is the conversion of presence into recommendation placement. The brand appears in 59.62% of qualified observations but is recommended in only 46.35%, and its top-three rate of 4.81% is dramatically below its presence rate. By comparison, Fidelity holds a 99.62% presence rate and a 75.19% top-three rate, showing that category leaders convert near-universal presence into dominant recommendation placement.

ETRADE's rank-one rate of 0.58% is among the lowest in the category, indicating the brand is almost never the first-choice recommendation when AI systems answer IRA discovery questions. The average recommended rank of 4.66 places ETRADE in the middle of recommendation lists rather than at the top.

The Gemini platform represents a specific gap. E*TRADE holds an 88.24% presence rate on Gemini but a 0.00% top-three rate and a 35.29% valid recommendation coverage rate. The brand is being mentioned on Gemini at near-universal levels but is not being positioned as a leading recommendation.

Competitor displacement is visible in the comparison with Vanguard and Robinhood. Vanguard, despite a significant coverage decline, still holds a 30.38% top-three rate versus ETRADE's 4.81%. Robinhood has converted its 94.62% presence rate into a 22.12% top-three rate, showing that mid-tier brands can achieve stronger placement than ETRADE currently does.

Biggest Opportunity

Questions This Section Answers

• What is the biggest opportunity for E*TRADE to convert its expanded IRA presence into stronger AI recommendation placement?

The biggest opportunity for ETRADE is converting its newly expanded mention presence into top-three recommendation placement on IRA discovery prompts. The brand's significant coverage gain in September 2026 was driven by presence rather than placement, with top-three rate rising only 2.0 percentage points even as coverage jumped 18.0 points. The path forward is to strengthen the attributes and evidence sources that lead AI systems to position ETRADE as a leading option rather than a mid-list mention, particularly on platforms like Gemini where presence is high but recommendation placement is minimal.

Competitive Landscape

Questions This Section Answers

• Where does E*TRADE rank among tracked competitors on top-three recommendation rate?
• How does E*TRADE's recommendation placement and sentiment compare with the category leaders?

Fidelity and Charles Schwab hold dominant recommendation-stage strength in the IRAs category, with Fidelity leading on both coverage and first-choice placement. E*TRADE sits in the middle of the competitive set, ahead of the lower-tier brands on coverage but well behind the leaders on recommendation prominence.

Average recommended rank covers rank-eligible recommendations only.

The table shows ETRADE ranked sixth by top-three rate despite holding the sixth-highest valid recommendation coverage. The brand's average recommended rank of 4.66 indicates it appears in the middle of recommendation lists when selected, and its rank-one rate of 0.58% shows it is rarely the first-choice answer. ETRADE's sentiment score of 0.8226 is the lowest among the top six brands by coverage, suggesting that while the brand is discussed positively, the framing is slightly less favorable than its closest competitors.

Prompt Evidence

Questions This Section Answers

• What does the ChatGPT prompt evidence show about E*TRADE's IRA recommendation strength?
• How does E*TRADE's recommendation placement differ between Gemini and Perplexity on IRA discovery prompts?

ChatGPT / Brand Recommendation Prompt: "What is the best Roth IRA right now?" Result: E*TRADE appears in the recommendation set with a 63.04% valid recommendation coverage rate on ChatGPT, its strongest platform performance.

Gemini / Brand Recommendation Prompt: "What brokerage account is the best?" Result: E*TRADE is present in 88.24% of Gemini observations but achieves a 0.00% top-three rate, indicating mention without prominent recommendation placement.

Perplexity / Brand Recommendation Prompt: "Where to open a Roth IRA" Result: E*TRADE holds a 43.37% valid recommendation coverage rate on Perplexity with a 10.84% top-three rate, showing moderate recommendation strength.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompt types and AI surfaces that drove E*TRADE's September 2026 coverage surge and identify which competitors lost those recommendation slots.

Phase 2: Recommendation Readiness Plan Close the gap between E*TRADE's 59.62% presence rate and its 4.81% top-three rate by identifying the attributes AI systems associate with the brand versus category leaders.

Phase 3: Owned Answer Layer Buildout Develop IRA-specific owned content that positions E*TRADE as a first-choice recommendation for discovery prompts, targeting the question categories where the brand is present but not prominent.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems draw on when forming IRA recommendations, focusing on sources that support E*TRADE's inclusion in top-three positions.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether E*TRADE's coverage gains convert into placement improvements across ChatGPT, Gemini, Perplexity, Copilot, AI Overviews, and AI Mode in subsequent months.

Why This Matters

AI-generated recommendations are becoming the default answer for IRA discovery questions, and the brands that appear in top-three positions are the ones buyers will evaluate. E*TRADE's significant coverage gain in September 2026 shows that AI systems are increasingly aware of the brand, but presence alone does not determine selection. The brands that win the recommendation stage are those that combine high presence with the attributes, evidence, and framing that lead AI systems to position them as leading options.

The next move for E*TRADE is targeted correction of the prompt, page, and citation layers that influence recommendation placement. The brand has built the awareness foundation; the opportunity is converting that awareness into the top-of-list positioning that drives buyer consideration.

Core Metrics

Sentiment Score

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

For E*TRADE, the calculation is (260 × 1 + 45 × 0 + 5 × -1) / 310, producing a net sentiment score of 0.8226.

This score matters because unclassified mention counts are misleading. A brand can appear in hundreds of AI responses, but if those mentions are neutral references, cautionary notes, or competitor comparisons, they do not represent recommendation strength. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it reveals whether a brand's presence is actually building recommendation momentum or simply generating awareness without selection.

Sentiment by Platform

Methodology

1. Report orientation: This is a benchmark-based AI market strategy report for E*TRADE in the IRAs category, derived from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio analysis. It is not a client implementation case study.
2. Reporting window: Data reflects September 2026 measurements, with July 2026 and August 2026 referenced for movement context.
3. Platforms tracked: Six canonical AI and search surface families were measured: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. Observation count: The benchmark began with 800 prompt-surface observations and produced 520 qualified observations for September 2026 after relevance and qualification filtering.
5. Competitor universe: Ten brands were tracked: Betterment LLC, Charles Schwab, E*TRADE, Fidelity, M1 Finance, Merrill Edge, Robinhood, SoFi, Vanguard, and Wealthfront Corporation.
6. Public clusters used: All 520 qualified observations fell into the Brand Recommendation cluster, which captures which provider AI systems suggest for IRA accounts. No qualified observations fell into pricing, value, or multi-brand comparison clusters in this reporting period.
7. Stage 0 role: Raw prompt-surface observations were collected and qualified before brand-level metrics were calculated. The public denominator is the qualified benchmark set, not the raw collection universe.
8. Definition of a mention: A mention is any qualified observation where the brand appears in an AI response, regardless of whether the brand is recommended, referenced neutrally, or discussed in a cautionary context.
9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand appears in a recommendation shortlist with positive framing. Neutral references, cautionary mentions, and competitor-displaced mentions are not counted as valid recommendations.
10. Limitations: The September 2026 measurement introduced an entity label change for Betterment and Wealthfront, meaning their values are not directly comparable to earlier months. E*TRADE's metrics are not affected by this change. Movement observed in a single month identifies areas worth investigating but does not by itself establish the cause of those changes. Small counts for lower-coverage brands carry higher uncertainty than the category leaders.
11. Metric interpretation: Raw mention presence, valid recommendation coverage, top-three rate, rank-one rate, and net sentiment are distinct signals and should not be collapsed into a single AI visibility metric.
12. Source layer: Source presence in AI responses is evidence about the information environment; it is not automatically proof that a source caused a recommendation outcome.

See How AI Is Recommending Your Brand

The public benchmark shows where E*TRADE stands in AI-generated IRA recommendations, but the aggregate percentages cannot identify the specific prompts, competitors, or sources driving the result. A company-level AI visibility audit maps those patterns into a prioritized strategy for converting presence into recommendation placement.