E*TRADE AI Market Strategy Report - Roth IRAs

Answer Capsule

ETRADE holds meaningful presence in AI-generated Roth IRA recommendations but converts very little of that presence into shortlist placement. In September 2026, the brand appeared in 33.12% of qualified AI answers yet earned valid recommendation coverage of only 24.37%, and it captured the first recommendation position only seven times across 640 qualified observations. The clearest win is a positive framing profile with a net sentiment score of 0.7783 and no negative visibility on several platforms. The clearest weakness is a rank-one rate of 0.00% and a top-three rate of just 1.09%, meaning ETRADE is visible but almost never chosen. The clearest opportunity is converting its existing mention footprint into valid recommendation shortlists, particularly on ChatGPT and Google AI Mode where presence is strongest.

Who This Report Is For

This report is for E*TRADE's brand, growth, and digital strategy teams, and for wealth management marketers who need to understand how AI systems position brokerage brands during Roth IRA selection.

Report Card

Executive Summary

ETRADE is visible in AI-generated Roth IRA answers but is rarely recommended. Across 640 qualified observations in September 2026, the brand appeared in 212 answers, a raw mention presence rate of 33.12%. Of those, only 156 qualified as valid recommendations, giving ETRADE a valid recommendation coverage of 24.37%. That gap between presence and recommendation is the defining feature of E*TRADE's AI visibility profile.

The brand's framing is positive. ETRADE recorded 169 positive mentions, 39 neutral mentions, and 4 negative mentions, producing a net sentiment score of 0.7783. This is the lowest net sentiment among the top eight tracked brands, though still firmly positive. AI systems are not criticizing ETRADE; they are simply not selecting it.

Placement is the critical weakness. ETRADE's top-three recommendation rate is 1.09%, meaning it appears in a top-three shortlist in fewer than 1 in 90 qualified answers. Its rank-one rate is 0.00%: across 640 qualified observations, ETRADE was never the first brand recommended. The average recommended rank of 4.76 confirms that when E*TRADE does receive rank credit, it sits in the middle of the list, not at the top.

The strongest platform signal for ETRADE is ChatGPT, where the brand achieved a valid recommendation coverage of 44.23% and a positive visibility rate of 44.23%. Google AI Mode also shows meaningful presence at 30.06% coverage. The weakest platform is Gemini, where ETRADE's coverage drops to 17.39% and its net sentiment score falls to 0.5833, the lowest platform-level sentiment reading for the brand.

The clearest gap is between ETRADE and the category leaders. Fidelity holds 85.78% valid recommendation coverage and a 47.03% rank-one rate. Charles Schwab holds 83.75% coverage and a 14.84% rank-one rate. ETRADE's 24.37% coverage places it eighth of ten tracked brands, ahead of only M1 Finance and Merrill Edge. The brand is present in the conversation but absent from the shortlist.

What E*TRADE Is Winning

Questions This Section Answers

• Where does E*TRADE have the strongest positive framing in AI-generated Roth IRA answers?
• Which platform gives E*TRADE its highest valid recommendation coverage?

ETRADE's strongest asset is its positive framing. The brand recorded only 4 negative mentions across 640 observations, producing a net sentiment score of 0.7783. On ChatGPT, Copilot, Perplexity, and Google AI Mode, ETRADE recorded zero negative mentions. AI systems are not framing E*TRADE negatively; they are simply not prioritizing it.

The brand's second win is its ChatGPT performance. ETRADE achieved 44.23% valid recommendation coverage on ChatGPT, its highest platform-level coverage. This suggests that when ChatGPT does surface ETRADE, it is more likely to include the brand in a recommendation context than on other platforms.

ETRADE also maintains a meaningful presence on Google AI Mode, where it recorded 49 valid recommendations and a 30.06% coverage rate. Google AI Mode carries the largest share of total AI opportunity in this benchmark, making ETRADE's presence there strategically relevant even at moderate coverage levels.

These wins are real but narrow. E*TRADE has no rank-one placements, no top-three strength, and no cluster where it leads. The brand is a consistent also-mentioned, not a consistent contender.

Where E*TRADE Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is E*TRADE's mention presence not converting into recommendation coverage?
• How does E*TRADE's recommendation placement compare to competitors like Charles Schwab?

ETRADE's most significant gap is recommendation conversion. The brand appears in 33.12% of qualified answers but earns valid recommendation coverage in only 24.37%. That 8.75-point gap between presence and recommendation means AI systems are mentioning ETRADE without placing it in a shortlist. Competitors like Fidelity and Charles Schwab convert nearly all of their presence into recommendation coverage.

The second gap is placement depth. ETRADE's top-three rate of 1.09% and rank-one rate of 0.00% place it far behind every brand above it in the standings. Even Wealthfront, which declined sharply this period, holds a 2.66% rank-one rate. ETRADE has never been the first recommendation in any qualified observation. This is not a marginal shortfall; it is a structural absence from the top of the list.

The third gap is platform inconsistency. ETRADE's coverage ranges from 17.39% on Gemini to 44.23% on ChatGPT. On Gemini, the brand's net sentiment score drops to 0.5833, and its positive visibility rate is only 21.74%. On Copilot, ETRADE's coverage is 33.33%, but its rank-one rate remains 0.00%. The brand lacks a platform where it consistently converts presence into primary recommendation.

Compared to Charles Schwab, which holds 83.75% coverage and a 14.84% rank-one rate, ETRADE is not competing for the same shortlist positions. Schwab appears in top-three recommendations in 55.63% of qualified answers; ETRADE appears in 1.09%. The gap is not incremental. It reflects a different tier of recommendation authority.

Biggest Opportunity

Questions This Section Answers

• Which platforms offer the clearest path to converting E*TRADE mentions into Roth IRA recommendations?
• What evidence changes would help AI systems place E*TRADE in recommendation shortlists?

ETRADE's clearest opportunity is converting its existing ChatGPT and Google AI Mode presence into valid recommendation shortlists. On ChatGPT, the brand already achieves 44.23% coverage, its strongest platform result. On Google AI Mode, it holds 49 valid recommendations and 30.06% coverage. These are the platforms where ETRADE is closest to recommendation eligibility.

The path forward is not expanding presence. ETRADE already appears in one-third of all qualified answers. The opportunity is ensuring that when AI systems mention ETRADE, they place it in the recommendation set rather than treating it as a reference or comparison anchor. This requires strengthening the public evidence layer that supports recommendation-stage inclusion: comparison pages, fee transparency content, and third-party sources that AI systems retrieve when building shortlists.

Competitive Landscape

Questions This Section Answers

• Where does E*TRADE rank on top-three and rank-one recommendations in the Roth IRA category?
• How far ahead are Fidelity and Charles Schwab on recommendation-stage strength?

Fidelity and Charles Schwab hold dominant recommendation-stage strength in the Roth IRA category, with Fidelity leading on both coverage and rank-one rate. E*TRADE sits in the lower tier, visible but rarely shortlisted.

Average recommended rank covers rank-eligible recommendations only.

E*TRADE ranks eighth of ten brands on top-three rate and holds the lowest net sentiment score among the top eight. The table shows a brand that is mentioned but not selected, present but not prioritized.

Prompt Evidence

Questions This Section Answers

• What happened when high-intent Roth IRA prompts surfaced E*TRADE across ChatGPT, Google AI Mode, Perplexity, and Copilot?

ChatGPT / Brand Recommendation Prompt: "What is the best app to start investing on?" Result: E*TRADE received a valid recommendation with a rank-one placement, one of the strongest outcomes observed for the brand across all platforms.

Google AI Mode / Brand Recommendation Prompt: "What is the best Roth IRA right now?" Result: E*TRADE appeared in the answer but was not included in the top-three recommendation shortlist.

Perplexity / Brand Recommendation Prompt: "Which broker has the best IRA accounts?" Result: E*TRADE was mentioned with positive framing but received no rank-one credit and appeared outside the top three.

Copilot / Brand Recommendation Prompt: "What are the best apps to start investing?" Result: E*TRADE appeared in the answer with neutral to positive framing but was not recommended in the top three positions.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• Which phases would CiteWorks Studio prioritize to convert E*TRADE's Roth IRA mentions into valid recommendations?

Phase 1: AI Market Discovery Audit Map every prompt where ETRADE appears without recommendation credit, and identify which competitors absorb the shortlist positions ETRADE loses.

Phase 2: Recommendation Readiness Plan Prioritize the ChatGPT and Google AI Mode prompts where E*TRADE already has presence, and define the evidence and content changes needed to convert mentions into valid recommendations.

Phase 3: Owned Answer Layer Buildout Strengthen E*TRADE's owned pages for Roth IRA comparison, fee transparency, and account selection so AI systems retrieve clearer recommendation signals.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems cite when constructing Roth IRA shortlists, focusing on comparison contexts where E*TRADE currently appears as a reference rather than a recommendation.

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

Why This Matters

AI systems are now forming the shortlist before a buyer ever visits a brokerage website. When E*TRADE appears in one-third of AI answers but earns a top-three recommendation in only 1.09% of them, the brand is losing the decision moment even when it is visible. Presence without recommendation is not a win; it is a missed opportunity.

The next move is not broader visibility. ETRADE already has that. The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems place ETRADE in the recommendation set or leave it as a passing reference. That is where recommendation authority is built.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why is a positive sentiment score like E*TRADE's not the same as being recommended?
• Why does a high share of positive mentions still understate the shortlist problem?

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

For E*TRADE in September 2026: (169 × 1 + 39 × 0 + 4 × -1) / 212 = 165 / 212 = 0.7783.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers without being recommended, and a positive reference is not the same as a recommendation. E*TRADE's 0.7783 sentiment score shows that AI systems frame the brand positively when they mention it, but that framing does not translate into shortlist placement.

Share of voice is a diagnostic metric, not a business KPI. Counting all mentions as wins is bad measurement. A neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Classified sentiment is required before interpreting AI visibility, and E*TRADE's classified sentiment shows a brand that is liked but not chosen.

Sentiment by Platform

Questions This Section Answers

• Which platforms show the weakest sentiment signal for E*TRADE in Roth IRA answers?
• Where does E*TRADE's platform sentiment diverge from its recommendation coverage?

Methodology

1. This report is a benchmark-based analysis of E*TRADE's AI recommendation visibility in the Roth IRA category for September 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 September 2026, with comparisons to July 2026 and August 2026 where the source data supports them.
3. Six AI and search platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The benchmark began with 800 prompt-surface observations. After qualification, 640 observations formed the public denominator for all brand-level metrics.
5. Ten brands were tracked: Betterment, Charles Schwab, E*TRADE, Fidelity, M1 Finance, Merrill Edge, Robinhood, SoFi, Vanguard, and Wealthfront.
6. One qualified buyer-intent cluster was active in September 2026: Brand Recommendation, covering prompts that ask which Roth IRA provider to choose. Pricing and comparison clusters recorded zero qualified observations.
7. A mention is counted when a tracked brand appears in a qualified AI answer, regardless of recommendation status.
8. A valid recommendation is counted when a brand appears in a recommendation shortlist as marked by the dataset. Neutral, cautionary, or comparison-anchor mentions are not counted as valid recommendations.
9. Top-three rate and rank-one rate are calculated against the 640 qualified observations, not against the raw 800-prompt collection.
10. Average recommended rank covers rank-eligible recommendations only. E*TRADE's average rank of 4.76 reflects the valid recommendations where rank credit was assigned.
11. Net sentiment score is calculated as (positive mentions minus negative mentions) divided by total mentions. It measures framing quality, not customer sentiment.
12. Single-month movements should not be read as sustained trends without confirming data. The benchmark does not measure market share, attributable sales, or causality from any metric movement. The public version of this benchmark does not expose a unique prompt count, so prompt-level totals are reported as qualified observations rather than distinct prompts.

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 results, and turns a category-level observation into a brand-level action plan.