Merrill Edge AI Visibility Market Strategy Report - Roth IRAs

Answer Capsule

Merrill Edge holds a valid recommendation coverage of 14.3% in the Roth IRAs category for October 2026, placing it eighth among ten tracked brands. The brand is visible in 19.5% of qualified AI answers but converts that presence into a valid recommendation in only 14.3% of them, and into a top-three placement in just 1.0%. Its clearest win is a positive framing profile with zero negative mentions across 101 observed mentions. Its clearest weakness is a near-total absence from first-position recommendations, with a rank-one rate of 0.2%. The clearest opportunity is closing the gap between raw presence and recommendation conversion in the consideration-stage prompt cluster where the category is decided.

Who This Report Is For

This report is for Merrill Edge marketing, digital strategy, and product leadership teams, and for wealth management executives evaluating how AI-driven discovery is reshaping Roth IRA provider selection.

Report Card

Executive Summary

Merrill Edge enters October 2026 with a presence rate of 19.5% and a valid recommendation coverage of 14.3% across 518 qualified observations in the Roth IRAs category. That places the brand eighth of ten tracked entities, ahead of only Wealthfront Corporation and M1 Finance. The gap between presence and recommendation is 5.2 percentage points, meaning roughly one in four AI answers that mention Merrill Edge does not convert that mention into a valid recommendation shortlist placement.

The brand's recommendation profile is thin at the top of the answer. Merrill Edge holds 74 valid recommendations and 73 top-ten placements, but only 5 top-three placements and a single rank-one placement. Its top-three rate of 1.0% and rank-one rate of 0.2% sit far below the category leaders. Fidelity holds an 86.1% top-three rate and a 57.9% rank-one rate, and Charles Schwab holds 80.5% and 23.4% respectively. The distance between Merrill Edge and the leadership cluster is not a presence problem. It is a recommendation conversion problem.

The strongest platform signal for Merrill Edge is Google AI Overviews, where the brand records 21 mentions, 15 positive mentions, and a 10.4% valid recommendation coverage. The weakest platform signal is Copilot, where Merrill Edge records 16 mentions and an 18.9% presence rate but no top-three placements and a 12.9% valid recommendation coverage. ChatGPT shows a similar pattern: 15 mentions, a 30.0% presence rate, and a 26.0% valid recommendation coverage, but zero top-three placements.

The brand's sentiment profile is positive. Merrill Edge recorded 76 positive mentions, 25 neutral mentions, and zero negative mentions in October 2026, producing a net sentiment score of 0.7525. That is the lowest net sentiment score among the ten tracked brands, though the difference is driven by a higher neutral share rather than by any negative framing. No AI platform surfaced a cautionary or negative claim about Merrill Edge in this dataset.

The clearest gap is in recommendation placement rather than in visibility. Merrill Edge appears in nearly one in five qualified answers but is recommended in the top three in only 1.0% of them. Competitors with similar or lower presence rates, including Betterment LLC at 25.3% presence and 23.8% coverage, convert their appearances into recommendation shortlists at a higher rate. The observed data suggests Merrill Edge is being referenced as a comparison anchor or a listed option rather than being selected as a primary recommendation.

What Merrill Edge Is Winning

Questions This Section Answers

• Why does Merrill Edge's zero negative mentions matter compared to competitors in the Roth IRA category?
• Which platform and prompt cluster currently produce the strongest recommendation behavior for Merrill Edge?

Merrill Edge holds a clean framing profile. Across 101 observed mentions in October 2026, the brand recorded zero negative mentions. That is a meaningful signal in a category where Fidelity, Charles Schwab, Vanguard, Robinhood, and E*TRADE each recorded between four and five negative mentions. The absence of cautionary framing gives Merrill Edge a stable base to build from.

The brand also shows a measurable presence on every tracked platform. Merrill Edge appears on ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. That cross-platform consistency is not universal in the tracked set. M1 Finance, for example, recorded zero mentions on ChatGPT in October 2026.

Merrill Edge's strongest platform by recommendation behavior is Google AI Overviews, where it holds a 10.4% valid recommendation coverage and 14 valid recommendations. Its strongest cluster is C01, the consideration-stage discovery cluster, which is the only cluster with sufficient data in this benchmark. Within that cluster, the brand holds a 14.7% positive visibility rate and a 5.7 average recommended rank.

The brand's net sentiment score of 0.7525 reflects a framing profile that is positive but carries a higher neutral share than its competitors. That is a narrow but real win: AI systems are not framing Merrill Edge negatively, and they are not treating it as a cautionary example.

Where Merrill Edge Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Merrill Edge mentioned in Roth IRA answers but rarely placed in the top three recommendations?
• How does Merrill Edge's presence-to-recommendation conversion compare to Betterment LLC?
• Which platform and prompt clusters leave Merrill Edge's competitive positioning unmeasured?

Merrill Edge is present but not chosen. The brand appears in 19.5% of qualified AI answers but converts that presence into a valid recommendation in only 14.3% of them. More importantly, it converts into a top-three placement in just 1.0% of qualified answers and into a first-position recommendation in 0.2%. The gap between presence and top-three placement is 18.5 percentage points, the widest such gap among the ten tracked brands.

The displacement pattern is visible in the platform data. On Copilot, Merrill Edge records 16 mentions and an 18.9% presence rate but zero top-three placements. On ChatGPT, it records 15 mentions and a 30.0% presence rate but zero top-three placements. On Google AI Overviews, it records 21 mentions and a 15.6% presence rate with zero top-three placements. The brand is being mentioned across platforms without being elevated into the recommendation set.

The comparison to Betterment LLC is instructive. Betterment LLC holds a 25.3% presence rate and a 23.8% valid recommendation coverage, with a 2.3% top-three rate and a 0.2% rank-one rate. Merrill Edge holds a lower presence rate at 19.5% but a similar recommendation coverage at 14.3%. The difference is that Betterment LLC converts a larger share of its presence into recommendation shortlist placements. Merrill Edge's conversion rate from presence to valid recommendation is 73.3%, while Betterment LLC's is 94.1%.

The brand's average recommended rank of 5.73 is the lowest among the ten tracked brands. That means when Merrill Edge does receive rank credit, it typically appears near the bottom of the recommendation set. Fidelity's average recommended rank is 1.39, Charles Schwab's is 2.06, and Vanguard's is 3.77. Merrill Edge is not competing for the top of the answer.

The clearest platform gap is Copilot, where Merrill Edge holds a 12.9% valid recommendation coverage and zero top-three placements. The clearest cluster gap is the absence of qualified observations in the Pricing & Value and Multi-Brand Comparison clusters, which means the benchmark cannot show whether Merrill Edge is competitive on cost or head-to-head positioning. That is a data limitation, not a confirmed weakness, but it leaves the brand's commercial positioning in AI answers unmeasured.

Biggest Opportunity

Questions This Section Answers

• Which high-intent Roth IRA prompts offer the clearest path to improving Merrill Edge's top-three recommendation rate?

The single biggest opportunity for Merrill Edge is closing the recommendation conversion gap in the consideration-stage discovery cluster. The brand already appears in 19.5% of qualified answers and holds a positive framing profile with zero negative mentions. The missing piece is recommendation placement. Moving from a 1.0% top-three rate to even a mid-single-digit top-three rate would require converting a small number of existing mentions into recommendation shortlist placements.

The prompt evidence points to the specific question types where this gap is widest. Prompts such as "What company is best for Roth IRA?" and "What is the best Roth IRA right now?" are the highest-intent questions in the cluster, and they are the questions where top-three placement matters most. Merrill Edge is being mentioned in answers to these prompts but is not being recommended in the top three. The opportunity is to build the owned answer layer and citation support that moves the brand from a listed option to a recommended one.

Competitive Landscape

Questions This Section Answers

• Where does Merrill Edge rank against Fidelity, Charles Schwab, and the rest of the tracked Roth IRA providers?
• What separates the leadership tier from the lower tier in AI recommendation placement?

Fidelity and Charles Schwab hold recommendation-stage strength in the Roth IRAs category, with Fidelity leading at a 90.3% valid recommendation coverage and Charles Schwab close behind at 89.4%. Merrill Edge sits in the lower tier of the tracked set, with a 14.3% coverage and a 1.0% top-three rate.

Average recommended rank covers rank-eligible recommendations only.

Merrill Edge sits eighth of ten by top-three rate, tied with M1 Finance at 0.97%. Its average recommended rank of 5.73 is the lowest in the tracked set, meaning that when the brand does receive rank credit, it appears near the bottom of the recommendation list. The table shows a clear separation between the leadership cluster of Fidelity and Charles Schwab, a middle tier of Vanguard and Robinhood, and a lower tier where Merrill Edge competes with SoFi, E*TRADE, Betterment LLC, M1 Finance, and Wealthfront Corporation.

Prompt Evidence

Google AI Overviews / C01: Best Budgeting Apps Discovery & Evaluation Prompt: "What company is best for Roth IRA?" Result: Merrill Edge was mentioned in the answer but did not receive a top-three placement, consistent with its 1.0% top-three rate on this platform.

ChatGPT / C01: Best Budgeting Apps Discovery & Evaluation Prompt: "What is the best Roth IRA right now?" Result: Merrill Edge appeared in the answer with a 30.0% presence rate on ChatGPT but recorded zero top-three placements, indicating a mention without recommendation conversion.

Perplexity / C01: Best Budgeting Apps Discovery & Evaluation Prompt: "What brokerage account is the best?" Result: Merrill Edge received a valid recommendation with an average recommended rank of 5.14 on Perplexity, placing it near the bottom of the recommendation set.

Copilot / C01: Best Budgeting Apps Discovery & Evaluation Prompt: "Which brokerage is good for beginners?" Result: Merrill Edge was mentioned with an 18.9% presence rate on Copilot but recorded zero top-three placements and a 12.9% valid recommendation coverage.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Merrill Edge is mentioned but not recommended, and identify which competitors take the top-three placements in those answers.

Phase 2: Recommendation Readiness Plan Prioritize the consideration-stage prompts where Merrill Edge already has presence and build the answer-layer content needed to convert mentions into recommendation shortlist placements.

Phase 3: Owned Answer Layer Buildout Develop owned pages and structured content that directly address the highest-intent Roth IRA selection questions where Merrill Edge is currently a listed option rather than a recommended one.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems retrieve and synthesize, focusing on the review, comparison, and news sources that dominate citations in this category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track top-three rate, rank-one rate, and average recommended rank month over month to measure whether presence is converting into recommendation placement.

Why This Matters

AI presence alone is not enough. Merrill Edge appears in nearly one in five qualified AI answers about Roth IRAs, but it is recommended in the top three in only 1.0% of them. For a buyer asking an AI system which Roth IRA provider to choose, a mention without a recommendation is not a shortlist placement. The brand is being seen but not selected.

The next move is targeted correction of the prompt, page, and citation layers. The prompts where Merrill Edge loses top-three placement are identifiable. The pages and sources that AI systems cite in those answers are traceable. The recommendation gap is a fixable measurement problem before it becomes a structural one.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why do Merrill Edge's neutral mentions pull its sentiment score below category leaders despite zero negative framing?

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

For Merrill Edge in October 2026: (76 × 1 + 25 × 0 + 0 × -1) / 101 = 0.7525.

This matters because unclassified mention counts are misleading. A brand that appears in 101 answers with 76 positive mentions and 25 neutral mentions is in a different position than a brand with the same mention count and a mix of positive, neutral, and negative framing. Merrill Edge's zero negative mentions is a genuine strength, but its 24.8% neutral share pulls the score below the category leaders.

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. Merrill Edge's 101 mentions include 25 neutral references that do not carry recommendation weight. Classified sentiment is required before interpreting AI visibility, and for Merrill Edge the classification shows a positive but neutral-heavy profile.

Sentiment by Platform

Questions This Section Answers

• Which platforms show the strongest positive sentiment for Merrill Edge but still fail to convert it into recommendations?

Methodology

1. This report is a benchmark-based analysis of Merrill Edge's AI recommendation visibility in the Roth IRAs category for October 2026. It is not a client implementation case study and does not imply that any remediation has been performed.
2. The reporting window is October 2026. The benchmark series began in July 2026 and includes monthly measurements for July, August, September, and October 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. Platform-level metrics are reported only for platforms where Merrill Edge recorded at least one mention.
4. The October 2026 benchmark analyzed 518 qualified observations. The raw collection began with 800 prompt-surface observations, of which 619 were unique questions, 579 were relevant, and 221 were filtered as irrelevant.
5. The competitor universe includes ten tracked entities: Betterment LLC, Charles Schwab, E*TRADE, Fidelity, M1 Finance, Merrill Edge, Robinhood, SoFi, Vanguard, and Wealthfront Corporation. Betterment and Wealthfront appear as separate legacy labels in the movement data but are not part of the October 2026 tracked set.
6. One public high-intent cluster carried sufficient data in October 2026: C01, Best Budgeting Apps Discovery & Evaluation, at the consideration buyer stage. The Pricing & Value and Multi-Brand Comparison clusters recorded zero qualified observations.
7. Stage 0 extraction retains the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment, not proof that the source caused the recommendation.
8. A mention is counted when Merrill Edge appears in a qualified AI answer, regardless of recommendation status. A valid recommendation is counted when Merrill Edge appears in a valid recommendation shortlist as marked by the dataset.
9. Top-three rate and rank-one rate are calculated against the 518 qualified observations. Average recommended rank covers rank-eligible recommendations only.
10. The qualified denominator contracted from 697 observations in July 2026 to 518 in October 2026. Brand percentages are calculated within the qualified set, not against the 800 raw prompts collected.
11. Entity labels changed within the series. Betterment, Betterment LLC, Wealthfront, and Wealthfront Corporation appear as distinct series. The zero readings on the original labels and the first appearances of the new labels occur in the same month.
12. Directional analysis identifies movement worth investigating. It does not establish cause. The October 2026 metrics are benchmark observations, not outcomes attributable to any single factor.

See How AI Is Recommending Your Brand

The public benchmark shows where Merrill Edge stands in AI recommendations across the Roth IRAs category. A company-level AI visibility audit maps the specific prompts, competitors, and sources shaping those results, and turns a category-level observation into a prioritized brand-level action plan.