E*TRADE AI Visibility Market Strategy Report - Online Stock Brokers

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • E*TRADE appears in 64.88% of qualified observations, but valid recommendation coverage is lower at 50.45%.
  • Its top-three recommendation rate is only 4.61%, and its rank-one rate is 0.74%, both well behind Fidelity and Charles Schwab.
  • Google AI Overviews is E*TRADE’s strongest platform for recommendation behavior, while Copilot shows zero top-three placement.
  • The brand is framed positively overall, with 354 positive mentions and only 4 negative mentions, so the main issue is placement rather than sentiment.

Answer Capsule

ETRADE holds meaningful AI presence in the Online Stock Brokers category but converts far less of that presence into recommendation credit. The October 2026 LLM Authority Index benchmark shows ETRADE with a 64.88% raw mention presence rate but only 50.45% valid recommendation coverage, a gap of roughly 14 points between being mentioned and being recommended. Its top-three recommendation rate of 4.61% and rank-one rate of 0.74% place it well behind category leaders Fidelity and Charles Schwab. The clearest opportunity sits in converting its existing mid-field visibility into shortlist placement, particularly on platforms where it appears frequently but is rarely selected.

Who This Report Is For

This report is written for E*TRADE's marketing, brand, and digital strategy teams, and for category analysts tracking how online stock brokers are being surfaced and recommended across AI platforms.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

E*TRADE

Category / market studied

Online Stock Brokers

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

1 qualified (Best IRA Accounts & Top Providers)

AI observations analyzed

672 qualified observations

Competitors tracked

9

Executive Summary

Questions This Section Answers

  • How large is the gap between E*TRADE's raw mention presence and its valid recommendation coverage?
  • Where does E*TRADE's recommendation placement sit relative to Fidelity and Charles Schwab?
  • Which platform shows E*TRADE's strongest and weakest recommendation signal?

ETRADE is visible in AI-generated answers about online stock brokers but is not being recommended at a rate that matches that visibility. The benchmark recorded ETRADE in 436 of 672 qualified observations, a 64.88% raw mention presence rate, yet the brand received valid recommendation credit in only 339 observations, or 50.45% coverage. That roughly 14-point gap between presence and recommendation is the central finding of this report.

The brand's recommendation placement is thin. E*TRADE appeared in the top three recommended options in just 4.61% of qualified observations and was the first recommendation in only 0.74%. Its average recommended rank of 4.89 places it mid-field when it does receive rank credit, well behind Fidelity at 1.64 and Charles Schwab at 2.21.

Sentiment framing is positive. E*TRADE recorded 354 positive mentions, 78 neutral mentions, and 4 negative mentions, producing a net sentiment score of 0.8028. The brand is not being framed negatively; it is being framed as context rather than as a recommendation.

The strongest platform signal for ETRADE is Google AI Overviews, where it holds 39.33% valid recommendation coverage and 5.06% top-three rate. The weakest platform signal is Copilot, where ETRADE has 62.96% valid recommendation coverage but a 0.00% top-three rate, meaning it is recommended but never placed in the top three.

The clearest gap is recommendation conversion. E*TRADE is present in nearly two-thirds of qualified observations but is shortlisted in fewer than one in twenty. Competitors like Interactive Brokers, with a 50.45% top-three rate, and Robinhood, with a 23.96% top-three rate, are converting their visibility into shortlist placement at far higher rates.

What E*TRADE Is Winning

Questions This Section Answers

  • Where is E*TRADE actually competitive in AI responses about online brokers?
  • Which platform gives E*TRADE its closest match between presence and recommendation?

ETRADE's clearest win is its sentiment framing. With 354 positive mentions against only 4 negative mentions, the brand carries a net sentiment score of 0.8028, which is competitive with the category's upper cohort. AI systems are not framing ETRADE negatively.

The brand also holds a meaningful presence base. At 64.88% raw mention presence, E*TRADE appears in nearly two out of every three qualified observations. This is a substantial visibility foundation that many mid-field brands in the category do not have.

On Google AI Overviews, ETRADE shows its strongest recommendation signal. It holds 39.33% valid recommendation coverage on that platform, with 70 valid recommendations and a 5.06% top-three rate. This is the platform where ETRADE's recommendation conversion is closest to its presence.

These wins are real but narrow. E*TRADE does not lead any platform or cluster by recommendation coverage, and its top-three and rank-one rates remain well below the category's top four brands.

Where E*TRADE Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does E*TRADE's mention presence fail to convert into recommendation credit?
  • Which competitors convert visibility into top-three shortlist placement far more effectively than E*TRADE?
  • What platform-specific placement gap appears on Copilot?

The most significant gap is between presence and recommendation. ETRADE is mentioned in 64.88% of qualified observations but receives valid recommendation credit in only 50.45%. This means in roughly one in seven observations where ETRADE appears, it is referenced without being recommended. Competitors like Fidelity and Charles Schwab convert presence to recommendation at rates above 83%, leaving E*TRADE with a conversion gap of more than 30 points against the category leaders.

The second gap is top-three placement. ETRADE's top-three rate of 4.61% is dramatically lower than Interactive Brokers at 50.45%, Robinhood at 23.96%, and Vanguard at 12.05%. Even Webull, which has lower overall recommendation coverage than ETRADE, holds a higher top-three rate at 6.99%. E*TRADE is being recommended but not shortlisted.

The third gap is rank-one visibility. ETRADE's rank-one rate of 0.74% means it is the first recommendation in fewer than one in one hundred qualified observations. Fidelity holds a 48.21% rank-one rate and Charles Schwab holds 18.90%. Tastytrade, despite its overall decline, holds a 5.80% rank-one rate, nearly eight times ETRADE's rate.

On Copilot specifically, E*TRADE has a 62.96% valid recommendation coverage but a 0.00% top-three rate. The brand is being recommended on Copilot but never placed in the top three. This is a platform-specific placement gap that does not appear on other platforms.

Biggest Opportunity

Questions This Section Answers

  • How could E*TRADE convert its existing mid-field visibility into top-three shortlist placement?
  • Which cluster and platform offer the clearest fixable recommendation gap?

E*TRADE's biggest opportunity is converting its existing mid-field visibility into top-three shortlist placement on high-intent recommendation prompts. The brand already appears in nearly two-thirds of qualified observations, so the visibility foundation exists. The gap is in recommendation conversion and placement.

The benchmark's single qualified cluster, Best IRA Accounts & Top Providers, captures queries asking for broker recommendations. E*TRADE's 4.61% top-three rate in this cluster means it is rarely shortlisted when buyers ask AI systems for a broker recommendation. Improving top-three placement in this cluster would directly address the brand's largest recommendation gap.

The platform-specific opportunity is on Copilot, where ETRADE has strong recommendation coverage but zero top-three placement. Understanding why Copilot recommends ETRADE without shortlisting it could reveal a fixable pattern in how the brand's attributes are being framed or retrieved.

Competitive Landscape

Questions This Section Answers

  • Where does E*TRADE rank among tracked brokers on top-three and rank-one recommendation rates?
  • How far behind the category leaders is E*TRADE's average recommended rank?

Fidelity and Charles Schwab hold dominant recommendation-stage strength in the Online Stock Brokers category, with Interactive Brokers and Robinhood forming a second tier. E*TRADE sits in the third tier, visible but under-recommended relative to its presence.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Fidelity

74.55%

48.21%

1.64

0.8694

Charles Schwab

71.73%

18.90%

2.21

0.8625

Interactive Brokers

50.45%

6.55%

3.17

0.9211

Robinhood

23.96%

4.46%

3.90

0.8508

Vanguard

12.05%

1.04%

4.58

0.7918

Webull

6.99%

0.15%

5.07

0.8864

Tastytrade

6.99%

5.80%

4.55

0.9506

E*TRADE

4.61%

0.74%

4.89

0.8028

Public

1.34%

0.15%

6.34

0.8125

Merrill Edge

0.15%

0.00%

6.43

0.7308

Average recommended rank covers rank-eligible recommendations only.

ETRADE ranks eighth out of ten tracked brands on top-three rate and eighth on rank-one rate. Its average recommended rank of 4.89 places it in the lower half of the field when it does receive rank credit. The table shows that ETRADE's recommendation placement is closer to the bottom cohort than to the mid-field brands it competes with on presence.

Prompt Evidence

Questions This Section Answers

  • What do real broker recommendation prompts show about E*TRADE's placement on Google AI Overviews and Copilot?
  • Which prompts illustrate the presence-to-recommendation gap for E*TRADE?

Google AI Overviews / Best IRA Accounts & Top Providers Prompt: "What is the most trusted stock broker?" Result: E*TRADE received a valid recommendation but was not placed in the top three, consistent with its low top-three rate on this platform.

Copilot / Best IRA Accounts & Top Providers Prompt: "What trading platform is the best?" Result: E*TRADE was recommended on Copilot but received zero top-three placement, reflecting the platform-specific gap where the brand is recommended but never shortlisted.

ChatGPT / Best IRA Accounts & Top Providers Prompt: "best app for stocks" Result: E*TRADE appeared as a mention with positive framing but did not receive top-three recommendation credit, illustrating the presence-to-recommendation gap.

Perplexity / Best IRA Accounts & Top Providers Prompt: "best options trading platform" Result: E*TRADE received a valid recommendation with a 3.45% rank-one rate on Perplexity, one of its stronger rank-one signals across platforms.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map E*TRADE's prompt-level visibility and recommendation patterns across all six platforms to identify exactly where presence converts to recommendation and where it does not.

Phase 2: Recommendation Readiness Plan Prioritize the prompt themes and platforms where E*TRADE is mentioned but not shortlisted, starting with Copilot's zero top-three rate and the Best IRA Accounts cluster.

Phase 3: Owned Answer Layer Buildout Strengthen E*TRADE's owned pages and structured content so AI systems can retrieve clear, recommendation-ready attributes for the brand on high-intent broker queries.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems cite when forming broker recommendations, focusing on the review and comparison domains that dominate the category's citation layer.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track E*TRADE's top-three rate, rank-one rate, and presence-to-recommendation conversion monthly to measure whether placement gaps are closing.

Why This Matters

AI presence alone is not enough. ETRADE appears in nearly two-thirds of qualified observations, but it is shortlisted in fewer than one in twenty. Buyers asking AI systems for a broker recommendation are seeing ETRADE mentioned but are not seeing it recommended in the top three. That is the difference between being in the consideration set and being on the shortlist.

The next move is targeted correction of the prompt, page, and citation layers that shape how AI systems frame and place E*TRADE. The benchmark shows where the brand is visible but under-recommended. Closing that gap requires understanding which prompts stop short of a top-three placement, which competitors take the shortlist slot instead, and which sources AI systems are retrieving when they form those recommendations.

Core Metrics

Metric

Value

Mentions

436

Valid recommendations

339

Top 3 recommendation count

31

Rank #1 recommendation count

5

Average recommended rank

4.89

Positive mentions

354

Neutral mentions

78

Negative mentions

4

Raw mention presence rate

64.88%

Valid recommendation coverage

50.45%

Top 3 recommendation rate

4.61%

Rank #1 recommendation rate

0.74%

Net sentiment score

0.8028

Strongest cluster by recommendation behavior

Best IRA Accounts & Top Providers (C01)

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

Questions This Section Answers

  • Why are E*TRADE's 436 mentions not translating into buyer preference despite positive framing?
  • What does E*TRADE's 0.8028 sentiment score actually measure?

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

For E*TRADE in October 2026: (354 × 1 + 78 × 0 + 4 × -1) / 436 = 350 / 436 = 0.8028.

This score matters because unclassified mention counts are misleading. A brand with 436 mentions could look strong on raw volume, but if those mentions are neutral references or comparison anchors rather than positive recommendations, the visibility does not translate into buyer preference. 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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and E*TRADE's 0.8028 score shows the brand is framed positively when it appears, even though it is not being shortlisted at a competitive rate.

Sentiment by Platform

Questions This Section Answers

  • Which platforms frame E*TRADE most positively, and where does that positivity fail to become recommendation placement?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

48

35

13

0

0.7292

Present, but not recommendation-led

Copilot

62

54

8

0

0.8710

Recommended but never shortlisted

Gemini

54

30

22

2

0.5185

Present as context, not recommendation

Perplexity

66

57

9

0

0.8636

Positive, but sample too small for top-three

Google AI Overviews

93

75

16

2

0.7849

Strongest public recommendation signal

Google AI Mode

113

103

10

0

0.9115

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of E*TRADE's AI visibility and recommendation performance in the Online Stock Brokers category for October 2026. It is not a client result and does not imply that any remediation has been performed.
  2. The reporting window is October 2026, with comparison to the July 2026 baseline where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark analyzed 672 qualified observations in October 2026, drawn from 800 raw prompt-surface observations.
  5. Ten companies were tracked in the competitor universe: Charles Schwab, E*TRADE, Fidelity, Interactive Brokers, Merrill Edge, Public, Robinhood, Tastytrade, Vanguard, and Webull.
  6. One public high-intent cluster was qualified for this report: Best IRA Accounts & Top Providers (C01). Two additional clusters, IRA Provider Comparisons (C02) and IRA Fees, Costs & Contribution Limits (C03), were scoped but returned no qualified observations in the public dataset.
  7. Stage 0 extraction retained the query, AI 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 an AI response, whether or not it is recommended.
  9. A valid recommendation is counted when a brand receives a non-placeholder recommendation with rank credit. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Brand-level percentages use the 672 qualified observations as the public denominator, not the 800 raw prompt-surface observations.
  11. Unique question count for October 2026 was 582. The public version does not expose a per-brand unique prompt count.
  12. Limitations: the public benchmark measures Brand Recommendation discovery only and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes. Month-over-month movement identifies changes worth investigating but does not establish cause. Source presence is evidence about the information environment, not proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where E*TRADE is visible and where it is under-recommended. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and source patterns behind those gaps, with the specificity needed to act on them.

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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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