CiteWorks Studio

Interactive Brokers AI Market Strategy Report - Online Stock Brokers

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Interactive Brokers ranked third in valid recommendation coverage at 78.83%, behind Charles Schwab and Fidelity.
  • The brand showed broad visibility and clean framing, with 90.18% presence and zero negative mentions across 588 total mentions.
  • Its main weakness was first-position conversion: a 6.29% rank-one rate despite a 46.17% top-three recommendation rate.
  • Copilot was the strongest platform for Interactive Brokers, while Google AI Mode and AI Overviews showed the largest rank-one gaps versus Fidelity and Charles Schwab.

Answer Capsule

Interactive Brokers holds strong recommendation power in the Online Stock Brokers category, with 78.83% valid recommendation coverage in September 2026, third behind Charles Schwab at 81.60% and Fidelity at 81.13%. The brand is present in 90.18% of qualified observations and carries the strongest sentiment profile in the tracked set at 0.9269, with zero negative mentions recorded. Its clearest weakness is rank-one placement: a 6.29% rank-one rate against Fidelity's 46.93% means Interactive Brokers is frequently shortlisted but rarely chosen first. The clearest opportunity sits in converting that broad top-three presence, 46.17%, into first-position recommendations across the high-intent broker selection prompts where the category's buying decisions are formed.

Who This Report Is For

This report is written for Interactive Brokers marketing, brand, and growth leadership, and for category analysts tracking how online brokerages are recommended inside AI-generated answers during the account selection and platform evaluation stage.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Interactive Brokers

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 active (Best IRA Accounts & Top Providers)

AI observations analyzed

652 qualified observations

Competitors tracked

10

Executive Summary

Interactive Brokers enters September 2026 as the third-ranked brand in the Online Stock Brokers benchmark, with 78.83% valid recommendation coverage. That places it 2.77 points behind category leader Charles Schwab at 81.60% and 0.70 points behind Fidelity at 81.13%. The brand is present in 90.18% of qualified observations, which is a strong presence position, though it trails Charles Schwab at 98.77% and Fidelity at 97.55%.

The recommendation profile is where the brand separates from the top two. Interactive Brokers recorded 514 valid recommendations across 652 qualified observations, with a top-three rate of 46.17% and a rank-one rate of 6.29%. Fidelity recorded a 68.10% top-three rate and a 46.93% rank-one rate over the same period. The gap is not in whether AI systems know the brand. It is in how often AI systems place the brand first when a buyer asks for a broker recommendation.

Sentiment is the strongest signal in the dataset for Interactive Brokers. The brand recorded 545 positive mentions, 43 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.9269. That is the highest net sentiment score among all ten tracked brands, ahead of Tastytrade at 0.9661 on a much smaller mention base and ahead of Fidelity at 0.8821 and Charles Schwab at 0.8727. The absence of negative framing is a meaningful asset in a category where cautionary mentions appear for most competitors.

The strongest platform signal for Interactive Brokers is Copilot, where the brand recorded an 88.46% valid recommendation coverage rate and a 21.79% rank-one rate. Google AI Mode follows with 82.99% coverage and a 4.12% rank-one rate, and Google AI Overviews recorded 82.02% coverage with a 2.25% rank-one rate. These three surfaces carry the bulk of the brand's recommendation volume.

The clearest platform gap is Gemini, where Interactive Brokers recorded 67.65% valid recommendation coverage and a 7.35% rank-one rate, and ChatGPT, where coverage was 70.21% with a 4.26% rank-one rate. Both surfaces trail the brand's overall coverage level, and both represent surfaces where competitors like Fidelity and Charles Schwab hold stronger rank-one positions.

The clearest cluster gap is structural rather than performance-based. All 652 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The benchmark's Pricing & Value and Multi-Brand Comparison classes recorded zero qualified observations in both July 2026 and September 2026. This means the public benchmark cannot yet show how Interactive Brokers performs on fee, cost, or head-to-head comparison prompts, which are the prompt types where a low-cost brokerage positioning would typically be expected to convert.

What Interactive Brokers Is Winning

Questions This Section Answers

  • Where does Interactive Brokers hold its strongest advantage over Fidelity and Charles Schwab?
  • Which platform gives Interactive Brokers its best rank-one performance?

Interactive Brokers holds the strongest sentiment profile in the tracked set. With 545 positive mentions, 43 neutral mentions, and zero negative mentions, the brand recorded a net sentiment score of 0.9269. No other brand in the benchmark combined that volume of mentions with zero negative framing. Fidelity recorded six negative mentions, Charles Schwab recorded seven, and Robinhood recorded fourteen.

The brand also holds a strong top-three position. A 46.17% top-three rate places Interactive Brokers third in the category, behind Fidelity at 68.10% and Charles Schwab at 62.88%, and ahead of Robinhood at 24.08%. That top-three rate is supported by 301 top-three recommendations across the month, which is a substantial placement base.

Copilot is the brand's strongest platform. Interactive Brokers recorded 88.46% valid recommendation coverage on Copilot, the highest coverage rate of any platform for the brand, alongside a 21.79% rank-one rate. That rank-one rate is the second-highest platform-level rank-one figure for Interactive Brokers after Gemini, and it is the platform where the brand comes closest to Fidelity's first-position strength.

The brand also shows a stable coverage base. Interactive Brokers moved from 80.4% valid recommendation coverage in July 2026 to 78.8% in September 2026, a 1.6-point decline that the benchmark classifies as within normal monthly variation. That is a materially smaller movement than the declines recorded by Charles Schwab, Fidelity, Robinhood, E*TRADE, and Merrill Edge over the same period.

Where Interactive Brokers Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How large is Interactive Brokers' rank-one gap compared with Fidelity and Charles Schwab?
  • Which AI platforms show the widest rank-one deficit for Interactive Brokers?
  • What does Interactive Brokers' 90.18% presence rate mean for the observations where it is absent?

The primary gap is rank-one placement. Interactive Brokers recorded a 6.29% rank-one rate in September 2026, against Fidelity at 46.93% and Charles Schwab at 17.48%. The brand received 41 rank-one recommendations across 652 qualified observations, compared with 306 for Fidelity and 114 for Charles Schwab. This is the clearest displacement pattern in the dataset: Interactive Brokers is shortlisted at a high rate but is rarely the first option AI systems surface.

The gap is visible at the platform level as well. On Google AI Mode, Interactive Brokers recorded a 4.12% rank-one rate against Fidelity's 59.79% and Charles Schwab's 17.53%. On Google AI Overviews, the brand recorded a 2.25% rank-one rate against Fidelity's 60.67% and Charles Schwab's 14.61%. These are the two highest-volume surfaces in the benchmark, and they are the surfaces where the rank-one gap is widest.

ChatGPT and Gemini represent a second gap. Interactive Brokers recorded 70.21% valid recommendation coverage on ChatGPT and 67.65% on Gemini, both below the brand's overall coverage of 78.83%. On ChatGPT, Fidelity recorded 74.47% coverage and Charles Schwab recorded 72.34%, so the gap on that surface is narrow. On Gemini, Fidelity recorded 58.82% coverage and Charles Schwab recorded 64.71%, which places Interactive Brokers ahead of both on coverage but behind on rank-one placement, where Fidelity recorded 22.06% and Charles Schwab recorded 29.41% against the brand's 7.35%.

The brand's presence rate of 90.18% is strong but not universal. Charles Schwab is present in 98.77% of qualified observations and Fidelity in 97.55%. That leaves a small but consistent set of qualified observations where Interactive Brokers is not mentioned at all, and those observations are where competitors absorb the recommendation without the brand entering the shortlist.

Biggest Opportunity

Questions This Section Answers

  • Why is Interactive Brokers' problem a recommendation-conversion gap rather than a visibility gap?
  • Where should Interactive Brokers focus to convert top-three placements into rank-one recommendations?

The clearest opportunity is converting Interactive Brokers' top-three presence into rank-one placement on the highest-volume surfaces. The brand already appears in the top three in 46.17% of qualified observations, which means AI systems are consistently treating it as a valid option. The gap is in the final selection step, where Fidelity and Charles Schwab capture first position far more often.

This is a recommendation-conversion problem, not a visibility problem. The brand does not need to be mentioned more often. It needs to be chosen first more often in the prompts where buyers ask which broker to use. That work sits in the owned answer layer and the citation layer: the pages, comparison content, and source material that AI systems retrieve when they decide which broker to name first.

Competitive Landscape

Questions This Section Answers

  • Where does Interactive Brokers rank against Fidelity, Charles Schwab, and Robinhood on top-three rate?
  • Why does Interactive Brokers rank fifth in the category on rank-one rate despite holding the highest sentiment score?

Fidelity and Charles Schwab hold the strongest recommendation-stage positions in the Online Stock Brokers category, with Interactive Brokers, Robinhood, and Webull forming the next tier. Interactive Brokers sits third on valid recommendation coverage and third on top-three rate, but its rank-one rate places it fifth in the tracked set, behind Fidelity, Charles Schwab, Robinhood, and Tastytrade.

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.

Interactive Brokers holds the third-highest top-three rate in the category and the highest sentiment score, but its 6.29% rank-one rate places it well behind Fidelity and Charles Schwab. The table shows a brand that is consistently shortlisted and rarely selected first, with an average recommended rank of 3.15 against Fidelity's 1.60 and Charles Schwab's 2.24.

Prompt Evidence

Google AI Mode / Best IRA Accounts & Top Providers Prompt: "best trading platform for beginners" Result: Interactive Brokers received a valid recommendation with a top-three placement, consistent with its 51.55% top-three rate on Google AI Mode, but Fidelity and Charles Schwab captured the first-position recommendation.

Google AI Overviews / Best IRA Accounts & Top Providers Prompt: "What is the best platform to use for trading?" Result: Interactive Brokers appeared as a valid recommendation with a 43.82% top-three rate on this surface, while Fidelity recorded a 79.21% top-three rate and a 60.67% rank-one rate, showing the placement gap on the highest-volume surface.

Copilot / Best IRA Accounts & Top Providers Prompt: "What apps do I need to start investing?" Result: Interactive Brokers recorded a valid recommendation with a 66.67% top-three rate on Copilot and a 21.79% rank-one rate, the brand's strongest platform-level first-position performance.

ChatGPT / Best IRA Accounts & Top Providers Prompt: "best day trading platform for beginners" Result: Interactive Brokers received a valid recommendation with a 53.19% top-three rate on ChatGPT, while Fidelity recorded a 68.09% top-three rate and a 34.04% rank-one rate on the same surface.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Interactive Brokers is shortlisted but not selected first, and identify which competitor takes the rank-one position in each case.

Phase 2: Recommendation Readiness Plan Prioritize the highest-volume surfaces, Google AI Mode and Google AI Overviews, where the rank-one gap is widest and the recommendation volume is largest.

Phase 3: Owned Answer Layer Buildout Strengthen the pages and content that AI systems retrieve when forming first-position recommendations, with emphasis on the platform selection and beginner trading prompts where the brand already holds top-three placement.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that supports first-position framing, including comparison content, platform capability documentation, and source material that AI systems can retrieve and synthesize.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track rank-one rate, top-three rate, and coverage by platform month over month to confirm whether the placement gap is closing on the surfaces where it is widest.

Why This Matters

Interactive Brokers is already known to AI systems. The brand appears in 90.18% of qualified observations, carries the strongest sentiment profile in the category, and holds a top-three recommendation in 46.17% of qualified observations. What the benchmark shows is that being known and being shortlisted are not the same as being chosen first. Fidelity converts 68.10% of its top-three presence into a rank-one recommendation 46.93% of the time. Interactive Brokers converts 46.17% of its top-three presence into a rank-one recommendation 6.29% of the time.

That difference is where buyer decisions are formed. When a buyer asks an AI system which broker to use, the first recommendation carries weight that a third-position mention does not. The next move for Interactive Brokers is not broader visibility. It is targeted correction of the prompt, page, and citation layers that determine which brand AI systems name first.

Core Metrics

Metric

Value

Mentions

588

Valid recommendations

514

Top 3 recommendation count

301

Rank #1 recommendation count

41

Average recommended rank

3.15

Positive mentions

545

Neutral mentions

43

Negative mentions

0

Raw mention presence rate

90.18%

Valid recommendation coverage

78.83%

Top 3 recommendation rate

46.17%

Rank #1 recommendation rate

6.29%

Net sentiment score

0.9269

Strongest cluster by recommendation behavior

Best IRA Accounts & Top Providers

Strongest platform by recommendation behavior

Copilot

Sentiment Score

Questions This Section Answers

  • What does Interactive Brokers' zero negative mentions in September 2026 reveal about its framing versus its placement?
  • Why is share of voice misleading without classified sentiment?

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

For Interactive Brokers in September 2026, that calculation is (545 × 1 + 43 × 0 + 0 × -1) / 588, which produces a net sentiment score of 0.9269.

This matters because unclassified mention counts are misleading. A brand that appears in 588 observations could look identical to a brand that appears in 588 observations with a different mix of positive, neutral, and negative framing. 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 in commercial terms, and counting all mentions as wins is bad measurement.

Interactive Brokers recorded zero negative mentions in September 2026, which is the strongest negative-framing position in the tracked set. That is a meaningful asset. It means the brand is not losing recommendation credit to cautionary or comparison-anchor framing. The gap for Interactive Brokers is not framing quality. It is placement. Classified sentiment is required before interpreting AI visibility, and in this case it shows a brand with clean framing and a first-position conversion gap.

Sentiment by Platform

Questions This Section Answers

  • Which AI platforms gave Interactive Brokers its strongest sentiment scores?
  • Where did Interactive Brokers record positive sentiment but weak rank-one placement?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Copilot

74

70

4

0

0.9459

Strongest public recommendation signal

Google AI Mode

172

168

4

0

0.9767

Strongest public recommendation signal

Google AI Overviews

161

151

10

0

0.9379

Present, but not recommendation-led at rank one

Perplexity

81

69

12

0

0.8519

Present as context, not first-position recommendation

ChatGPT

44

34

10

0

0.7727

Present, but not recommendation-led

Gemini

56

53

3

0

0.9464

Positive, but rank-one placement lags

Methodology

  1. This report is a benchmark-based analysis of Interactive Brokers within the Online Stock Brokers category, drawing on the LLM Authority Index AI Market Discovery Index for September 2026 and the associated company-level metrics aggregation.
  2. The reporting window is September 2026, with baseline comparison points from July 2026 and August 2026 where the benchmark provides them.
  3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six produced qualified observations in September 2026.
  4. The September 2026 collection produced 800 raw prompt-surface observations, of which 652 qualified for the public benchmark denominator after relevance filtering.
  5. The competitor universe contains ten tracked brands: Charles Schwab, E*TRADE, Fidelity, Interactive Brokers, Merrill Edge, Public, Robinhood, Tastytrade, Vanguard, and Webull.
  6. One buyer-intent cluster carried qualified observations in September 2026: Best IRA Accounts & Top Providers, classified under the Brand Recommendation buyer-intent class. The Pricing & Value and Multi-Brand Comparison classes recorded zero qualified observations in both July 2026 and September 2026.
  7. Stage 0 extraction retained the query, surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources for each observation.
  8. A mention is counted when a tracked brand appears in a qualified observation, whether or not it was recommended.
  9. A valid recommendation is counted when a brand receives one or more valid, non-placeholder recommendations within a qualified observation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Top-three rate and rank-one rate are calculated against the 652 qualified observations in September 2026, not the 800 raw prompt-surface observations collected.
  11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are shown with an em dash in the competitive landscape table.
  12. The benchmark records metric movements, not their causes. Directional analysis identifies changes worth investigating and does not by itself establish why those changes occurred. Source presence in the evidence layer is not treated as proof that a source caused a recommendation.

See Where AI Is Recommending Your Brand

The public benchmark shows where Interactive Brokers is shortlisted and where it is not selected first. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind those placement patterns, and turns them into a prioritized plan for closing the rank-one gap on the surfaces that matter most.

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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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