CiteWorks Studio

E*TRADE AI Market Strategy Report - Online Stock Brokers

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • E\*TRADE was mentioned in 66.00% of qualified observations but earned valid recommendation coverage in only 48.16%, revealing a 17.84-point conversion gap.
  • September 2026 marked E\*TRADE's largest decline among tracked brands, with recommendation coverage falling 5.4 points from July and rank-one recommendations dropping to zero.
  • Google AI Mode was E\*TRADE's strongest platform for recommendation coverage at 62.4%, but its top-three placement there remained far behind category leaders.
  • Sentiment was broadly positive at 0.7744, indicating the main issue is not brand framing but failure to convert visibility into shortlist placement.

Answer Capsule

ETRADE holds meaningful presence in AI-generated broker recommendations but converts that presence into recommendation credit at less than half the rate of the category leaders. The September 2026 LLM Authority Index Online Stock Brokers benchmark recorded ETRADE at 48.16% valid recommendation coverage, down 5.4 points from its July 2026 baseline and the largest baseline decline of any tracked brand. ETRADE was mentioned in 66.00% of qualified observations, yet it earned zero rank-one recommendations in September 2026 and appeared in the top three in only 5.52% of observations. The clearest opportunity sits in the gap between mention and recommendation: ETRADE is being surfaced as context far more often than it is being chosen.

Who This Report Is For

This report is written for E*TRADE's brand, growth, and digital strategy teams, and for brokerage category leaders who need to understand how AI systems are shaping the buyer shortlist in online investing.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

E*TRADE

Category / market studied

Online Stock Brokers

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1 qualified (Brand Recommendation)

AI observations analyzed

652

Competitors tracked

9

Executive Summary

ETRADE enters the September 2026 benchmark as a brand with substantial AI presence and materially weaker recommendation conversion. The benchmark recorded ETRADE in 430 of 652 qualified observations, a raw mention presence rate of 66.00%, but valid recommendation coverage of only 48.16%. That 17.84-point spread between being mentioned and being recommended is the central strategic fact in this report.

The direction of travel is negative. E*TRADE's valid recommendation coverage fell from 53.6% in July 2026 to 48.16% in September 2026, a 5.4-point decline the benchmark classifies as significant, and the largest baseline-to-current decline of any tracked brand. The decline was gradual rather than abrupt, moving through 50.1% in August 2026 before settling at 48.16% in September 2026.

Placement quality is the sharper problem. E*TRADE's top-three rate was 5.52% in September 2026, down from 6.7% in July 2026, and its rank-one rate fell to 0.00%, down from 0.4% in July 2026. The brand earned zero first-position recommendations in the current month, compared with three in July 2026. Its qualifying recommendation count fell from 383 in July 2026 to 314 in September 2026.

Sentiment is not the constraint. ETRADE's net sentiment score was 0.7744 in September 2026, with 342 positive mentions, 79 neutral mentions, and 9 negative mentions. The framing of ETRADE when it appears is broadly favorable. The issue is that favorable framing is not converting into shortlist placement.

The strongest platform signal for ETRADE is Google AI Mode, where the brand recorded 62.4% valid recommendation coverage and 25,244 in modeled AI Authority Value, the largest single-platform contribution in its profile. The weakest meaningful platform is Copilot, where ETRADE recorded 37.2% coverage and zero top-three placements across 78 observations.

The clearest gap is structural rather than platform-specific. All 652 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The benchmark does not yet carry qualified observations in Pricing & Value or Multi-Brand Comparison, which means E*TRADE's fee, cost, and head-to-head comparison positioning is not yet measured as a distinct category. That is a measurement gap the brand should watch closely, because those are the prompt types where a mention-heavy, recommendation-light profile is most likely to be corrected.

What E*TRADE Is Winning

E*TRADE's wins in this benchmark are real but narrow.

The brand holds a positive framing position. Net sentiment of 0.7744 across 430 mentions places ETRADE in positive territory, with only 9 negative mentions against 342 positive. AI systems are not framing ETRADE unfavorably when they surface it.

E*TRADE retains a meaningful presence base. A 66.00% raw mention presence rate means the brand appears in roughly two of every three qualified observations. That is a substantial footprint and a workable foundation for recommendation-stage improvement.

Google AI Mode is E*TRADE's strongest platform. The brand recorded 62.4% valid recommendation coverage and a 9.8% top-three rate on that surface, well above its category-wide top-three rate of 5.52%. Google AI Overviews is the second-strongest surface at 43.3% coverage.

E*TRADE also carries a more favorable sentiment profile than Merrill Edge's 0.6986 and lands close to Robinhood's 0.8382. The brand is not being framed as a cautionary example.

Beyond these points, the win column is thin. E*TRADE does not lead any platform, does not lead any placement tier, and holds no rank-one recommendations in the current month.

Where E*TRADE Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • What is E*TRADE's clearest visibility gap, and how large is the mention-to-recommendation spread?
  • Which platforms show E*TRADE with weak recommendation placement despite strong presence?
  • How concentrated is competitive displacement among Fidelity, Charles Schwab, and Interactive Brokers?

ETRADE's clearest gap is recommendation conversion, not visibility. The brand is present in 66.00% of qualified observations but receives valid recommendation credit in only 48.16%. That 17.84-point gap means AI systems are frequently naming ETRADE as context, comparison anchor, or background reference without placing it on the shortlist.

The displacement is measurable against the category leaders. Fidelity recorded 81.1% valid recommendation coverage and a 68.10% top-three rate in September 2026. Charles Schwab recorded 81.6% coverage and a 62.88% top-three rate. ETRADE's 5.52% top-three rate is roughly one-twelfth of Fidelity's. When AI systems build a three-option shortlist for a broker recommendation prompt, ETRADE is absent from that shortlist in approximately 94.5% of cases.

The rank-one gap is absolute. ETRADE earned zero rank-one recommendations in September 2026, down from three in July 2026. Fidelity earned 306. Charles Schwab earned 114. Interactive Brokers earned 41. Robinhood earned 30. Even Tastytrade, with 27.2% presence, earned 30 rank-one placements. ETRADE's zero is the only zero among the top seven brands by presence.

Platform-level gaps compound the picture. On Copilot, ETRADE recorded 37.2% valid recommendation coverage and zero top-three placements across 78 observations. On Gemini, coverage was 35.3% with a 7.4% top-three rate. On Perplexity, coverage was 49.4% with a 3.4% top-three rate. These are surfaces where ETRADE is visible but not being selected.

The competitive displacement is concentrated. Fidelity and Charles Schwab together hold the top of the recommendation set on nearly every platform. Interactive Brokers holds a strong third position with a 46.17% top-three rate. Robinhood holds a 24.08% top-three rate. ETRADE's 5.52% places it in a distinct lower tier alongside Webull at 7.36% and Vanguard at 9.20%, despite ETRADE's presence rate exceeding Vanguard's by nearly 20 points.

Biggest Opportunity

Questions This Section Answers

  • Where is E*TRADE's highest-leverage opportunity to convert mentions into recommendations?
  • How large is the gap between E*TRADE's presence and top-three rate on Google AI Mode compared with Fidelity?

E*TRADE's single clearest opportunity is to convert its existing mention base into top-three recommendation credit on Google AI Mode and Google AI Overviews, the two surfaces where its coverage is already strongest and where the category's recommendation decisions are most heavily concentrated.

Google AI Mode carried 338,092.5 in modeled total monthly AI opportunity value in September 2026, the largest single-platform pool in the benchmark. ETRADE captured 25,244 of that, a 7.5% share, while Fidelity captured 74,992, a 22.2% share. The gap is not a presence gap. ETRADE was present in 70.1% of Google AI Mode observations. The gap is that E*TRADE's top-three rate on that surface was 9.8% against Fidelity's 79.4%.

This is the highest-leverage correction available to the brand. The prompts are already reaching ETRADE. The recommendation decision is not following. Closing even a portion of that conversion gap on the two Google surfaces would move ETRADE's category-wide top-three rate more than any other single intervention supported by this dataset.

Competitive Landscape

Questions This Section Answers

  • Where does E*TRADE sit in the broker recommendation standings, and which brands lead?
  • How does E*TRADE's top-three and rank-one placement compare with competitors like Fidelity, Charles Schwab, and Interactive Brokers?

Fidelity and Charles Schwab hold recommendation-stage strength in the Online Stock Brokers category, with Fidelity leading on rank-one placement and Charles Schwab leading on valid recommendation coverage. E*TRADE sits in the lower-middle of the tracked set, with presence comparable to the upper tier but recommendation placement closer to the bottom.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Fidelity

68.10%

46.93%

1.60

0.8821

Charles Schwab

62.88%

17.48%

2.24

0.8727

Interactive Brokers

46.17%

6.29%

3.15

0.9269

Robinhood

24.08%

4.60%

3.86

0.8382

Vanguard

9.20%

0.77%

4.62

0.7632

Webull

7.36%

0.31%

5.07

0.8776

Tastytrade

6.44%

4.60%

4.67

0.9661

E*TRADE

5.52%

0.00%

4.87

0.7744

Public

1.07%

0.15%

6.37

0.7657

Merrill Edge

0.31%

0.00%

6.52

0.6986

Average recommended rank covers rank-eligible recommendations only.

E*TRADE ranks eighth of ten on top-three rate and holds the only zero rank-one rate among the top seven brands by presence. Its average recommended rank of 4.87 is the second-weakest among brands with rank-eligible recommendations, ahead of only Public and Merrill Edge. The table shows a brand with upper-tier presence and lower-tier placement.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "best trading app" Result: E*TRADE was present in the observation but did not appear in the top-three recommendation set, which was led by Fidelity and Charles Schwab.

Copilot / Brand Recommendation Prompt: "best app to buy stocks" Result: E*TRADE was mentioned as context but recorded zero top-three placements on Copilot across the full month, a surface where Fidelity held a 73.1% top-three rate.

Google AI Overviews / Brand Recommendation Prompt: "day trading platforms" Result: ETRADE appeared in the observation with positive framing, but the rank-one placement went to a competitor, consistent with ETRADE's 0.00% rank-one rate for the month.

Perplexity / Brand Recommendation Prompt: "stock brokers" Result: E*TRADE was present in 81.6% of Perplexity observations but earned top-three placement in only 3.4%, illustrating the mention-to-recommendation gap on that surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every high-intent broker recommendation prompt where ETRADE is mentioned but not shortlisted, and identify which competitors take the placement when ETRADE does not.

Phase 2: Recommendation Readiness Plan Prioritize the Google AI Mode and Google AI Overviews surfaces where E*TRADE's presence is strongest and its recommendation conversion gap is widest.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages and structured content that AI systems retrieve when forming broker shortlists, with emphasis on the prompt themes where E*TRADE is currently a reference rather than a recommendation.

Phase 4: Citation / Authority Layer Development Develop the third-party source footprint that AI systems appear to draw on when ranking brokers, so that E*TRADE's favorable framing is supported by retrievable, attributable evidence.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track valid recommendation coverage, top-three rate, and rank-one rate monthly to confirm whether the mention-to-recommendation gap is closing.

Why This Matters

AI systems are now forming the broker shortlist before a buyer ever visits a comparison page. E*TRADE's 66.00% presence rate means the brand is in the room for most of those decisions. Its 5.52% top-three rate means it is rarely in the final three. For a category where the buyer's next step is opening an account, being mentioned without being recommended is a commercial position, not a neutral one.

The correction is targeted, not broad. E*TRADE does not need more visibility. It needs its existing visibility to convert into placement on the surfaces where recommendation decisions concentrate. That means fixing the prompt, page, and citation layers that AI systems use when they decide which three brokers to name.

Core Metrics

Metric

Value

Mentions

430

Valid recommendations

314

Top 3 recommendation count

36

Rank #1 recommendation count

0

Average recommended rank

4.87

Positive mentions

342

Neutral mentions

79

Negative mentions

9

Raw mention presence rate

66.00%

Valid recommendation coverage

48.16%

Top 3 recommendation rate

5.52%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.7744

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

For E*TRADE in September 2026: (342 × 1 + 79 × 0 + 9 × -1) / 430 = 0.7744.

This score matters because unclassified mention counts are misleading. A brand with 430 mentions could look strong on a share-of-voice chart while earning almost no recommendation credit. E*TRADE's case shows why that reading is wrong. Its 0.7744 sentiment score is positive and healthy, but sentiment is a framing measure, not a placement measure. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal outcomes, and counting all mentions as wins is bad measurement.

Classified sentiment is required before interpreting AI visibility. E*TRADE's favorable framing tells us AI systems are not warning buyers away from the brand. It does not tell us whether the brand is being chosen. Those are separate questions, and this benchmark answers them separately.

Sentiment by Platform

Questions This Section Answers

  • On which AI platforms does E*TRADE have the strongest and weakest sentiment?
  • Does positive sentiment on a platform translate into recommendation placement for E*TRADE?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

136

127

8

1

0.9265

Strongest public recommendation signal

Perplexity

71

51

20

0

0.7183

Present, but not recommendation-led

Google AI Overviews

94

82

10

2

0.8511

Positive, but placement lags presence

ChatGPT

31

22

9

0

0.7097

Present as context, not recommendation

Gemini

43

31

9

3

0.6512

Positive, but sample and placement both weak

Copilot

55

29

23

3

0.4727

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of E*TRADE's position in the LLM Authority Index AI Market Discovery Index for Online Stock Brokers, reporting on September 2026.
  2. The reporting window is September 2026, with baseline comparison to July 2026 and month-over-month comparison to August 2026.
  3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six produced qualified observations in the reporting month.
  4. The September 2026 benchmark produced 652 qualified observations, drawn from 800 raw prompt-surface observations, 713 relevant prompts, and 593 unique questions.
  5. Ten brands were tracked: Charles Schwab, E*TRADE, Fidelity, Interactive Brokers, Merrill Edge, Public, Robinhood, Tastytrade, Vanguard, and Webull.
  6. All 652 qualified observations fell into the Brand Recommendation buyer-intent class. The public benchmark does not yet carry qualified observations in Pricing & Value or Multi-Brand Comparison.
  7. A mention is counted when a tracked brand appears in a qualified observation, whether or not it is recommended.
  8. A valid recommendation is counted when a brand receives one or more valid, non-placeholder recommendations in a qualified observation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  9. Top-three rate and rank-one rate are calculated within the qualified benchmark set, not the raw collection set.
  10. Average recommended rank covers rank-eligible recommendations only. E*TRADE's average recommended rank of 4.87 reflects the 314 observations where it received valid rank credit.
  11. The benchmark records which sources appeared alongside answers, not whether those sources caused the recommendation. Source presence is evidence about the information environment, not proof of causation.
  12. The benchmark does not measure market share, revenue outcomes, attributable conversions, organic-search ranking positions, or causality from a metric movement alone.

See Where AI Is Recommending Your Brand

The public benchmark shows where E*TRADE is present and where it is being passed over. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and source patterns behind those numbers, and turns them into a prioritized plan for closing the recommendation gap.

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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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