Fidelity AI Visibility Market Strategy Report - IRAs

Answer Capsule

Fidelity is the dominant recommendation leader in the IRA category for October 2026, holding valid recommendation coverage of 87.5% and a rank-one rate of 56.5%, the highest first-position rate among all ten tracked brands. The benchmark shows Fidelity present in 99.6% of qualified observations, with a top-three recommendation rate of 83.3% and a net sentiment score of 0.8778. Its clearest strength is placement power: Fidelity is named first more than half the time it appears. Its clearest gap is that 12.5% of qualified observations still exclude Fidelity from valid recommendation shortlists entirely, and one high-severity factual inconsistency about its asset size was detected across Copilot and Google AI Overviews.

Who This Report Is For

This report is for Fidelity's brand, content, and digital strategy teams, and for executives responsible for how the firm is positioned in AI-generated recommendations for IRA and retirement account discovery.

Report Card

Executive Summary

Fidelity holds dominant recommendation power in the IRA category. The October 2026 benchmark shows Fidelity with valid recommendation coverage of 87.5%, unchanged from its July 2026 baseline, and a rank-one rate of 56.5%, up from 50.1% in July 2026. No other tracked brand comes close on first-position placement. Charles Schwab, the nearest competitor on coverage at 86.5%, holds a rank-one rate of just 23.4%.

The gap between Fidelity and Charles Schwab on coverage is 1.0 percentage point, the narrowest top-two separation in the four-month series. But the placement gap is more than 33 points. Fidelity's dominance is expressed not through broader presence but through how often it is named first when it appears. Its top-three rate rose 19.4 points from 63.9% in July 2026 to 83.3% in October 2026.

Fidelity's raw mention presence rate is 99.6%, meaning it appears in nearly every qualified observation. Positive mentions total 471, neutral mentions total 57, and negative mentions total 4. The net sentiment score of 0.8778 reflects strong positive framing across the category.

The strongest platform signal for Fidelity is Google AI Overviews, where it holds a rank-one rate of 65.96% and a valid recommendation coverage of 90.07%. Perplexity also shows strong recommendation behavior, with Fidelity at a 54.12% rank-one rate and 96.47% valid recommendation coverage. Copilot shows the highest rank-one rate at 70.37%.

The clearest gap is the 12.5% of qualified observations where Fidelity does not appear in a valid recommendation shortlist at all. These are the prompts where competitors capture the recommendation slot. The benchmark also flagged one high-severity factual inconsistency about Fidelity's asset size, with Google AI Overviews stating over $7 trillion in assets and Copilot stating $18.0 trillion in total client assets and $7.1 trillion AUM.

What Fidelity Is Winning

Questions This Section Answers

• How dominant is Fidelity's first-position placement compared with Charles Schwab and Robinhood?
• Which platforms produce Fidelity's strongest rank-one rates in the IRA category?

Fidelity holds the strongest placement profile in the IRA category. Its rank-one rate of 56.5% in October 2026 is more than double Charles Schwab's 23.4% and more than 17 times Robinhood's 3.2%. When Fidelity appears in a recommendation shortlist, it is named first more than half the time.

The brand's top-three rate rose from 63.9% in July 2026 to 83.3% in October 2026, a 19.4-point gain. This means Fidelity is not just present but consistently placed within the top three recommendations across qualified observations.

Fidelity's strongest platform is Google AI Overviews, where it holds a 65.96% rank-one rate and 90.07% valid recommendation coverage. On Perplexity, Fidelity holds a 54.12% rank-one rate and 96.47% valid recommendation coverage. On Copilot, the rank-one rate reaches 70.37%.

The brand also shows no meaningful negative framing. Negative mentions total 4 out of 532 present observations, a negative visibility rate of 0.75%. Fidelity's net sentiment score of 0.8778 is among the highest in the category.

Where Fidelity Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Fidelity mentioned in 99.6% of observations but recommended in only 87.5%?
• Where does Fidelity's placement dominance weaken across platforms?
• What caused the high-severity asset size inconsistency between Copilot and Google AI Overviews?

Fidelity is present in 99.6% of qualified observations but appears in valid recommendation shortlists in 87.5% of them. That 12.5-point gap represents the observations where Fidelity is mentioned but not recommended. These are the prompts where competitors capture the recommendation slot.

Charles Schwab is the closest competitor on coverage at 86.5%, just 1.0 point behind Fidelity. While Fidelity leads on rank-one placement by a wide margin, Charles Schwab's top-three rate of 78.8% means it appears in the top three nearly as often as Fidelity's 83.3%. The competitive threat is not displacement at the top but erosion of Fidelity's first-position dominance if Schwab closes the placement gap.

Fidelity's average recommended rank is 1.3719, the strongest in the category. Charles Schwab's average recommended rank is 1.9932. The difference is meaningful but not insurmountable if Schwab improves its rank-one rate.

On ChatGPT, Fidelity holds a rank-one rate of 48.39% and valid recommendation coverage of 75.81%. These are strong figures but lower than Fidelity's performance on Google AI Overviews and Perplexity. ChatGPT represents a platform where Fidelity's placement dominance is less pronounced.

The benchmark also flagged one high-severity factual inconsistency about Fidelity's asset size. Google AI Overviews stated Fidelity manages over $7 trillion in assets, while Copilot stated $18.0 trillion in total client assets and $7.1 trillion AUM. Both platforms cited overlapping sources, including The Motley Fool, but produced incompatible figures for the same company's asset size.

Biggest Opportunity

Questions This Section Answers

• Which prompt types and platforms produce the 12.5% of observations where Fidelity is mentioned but not shortlisted?
• How does the absence of Pricing & Value or Multi-Brand Comparison clusters affect Fidelity's measured opportunity?

Fidelity's clearest path from reference to recommendation is closing the 12.5% coverage gap where it is mentioned but not shortlisted. These observations represent prompts where Fidelity appears in the AI response but does not earn a valid recommendation. The opportunity is to identify which prompt types and platforms produce these gaps and build the owned answer layer and citation architecture to convert mentions into recommendations.

The benchmark shows all 534 qualified observations fell into the Brand Recommendation cluster. There are no qualified observations in Pricing & Value or Multi-Brand Comparison clusters this month. This means the current measurement captures default guidance prompts, not cost-driven or head-to-head comparison prompts. Fidelity's opportunity is to strengthen its position in the default recommendation layer while preparing for future measurement in pricing and comparison clusters.

Competitive Landscape

Questions This Section Answers

• How far ahead is Fidelity on top-three and rank-one rates compared with Charles Schwab and Vanguard?
• Which competitors pose the biggest threat to Fidelity's first-position dominance?

Fidelity holds the strongest recommendation-stage position in the IRA category, with Charles Schwab as the closest challenger on coverage and Robinhood and Vanguard trailing on placement strength. Fidelity leads on both top-three rate and rank-one rate, but the coverage gap to Charles Schwab is narrow.

Average recommended rank covers rank-eligible recommendations only.

Fidelity's 83.33% top-three rate and 56.55% rank-one rate place it first in the category on both measures. Charles Schwab is the only competitor within 5 points on top-three rate, but its rank-one rate is less than half of Fidelity's. The remaining eight brands hold top-three rates below 40%, with Vanguard the nearest at 37.64%.

AI Response Inconsistency Alerts

Questions This Section Answers

• What exactly did Google AI Overviews and Copilot say about Fidelity's asset size?
• How did overlapping sources like The Motley Fool produce the conflicting asset size figures?

One high-severity factual inconsistency was detected for Fidelity across two AI platforms. The conflict involves conflicting claims about Fidelity's asset size.

When asked "What are the top stock brokerage firms?", Google AI Overviews stated that Fidelity manages over $7 trillion in assets, citing Investopedia, the New York Institute of Finance, and The Motley Fool. Copilot, responding to the same question, stated that Fidelity has $18.0 trillion in total client assets and $7.1 trillion AUM, citing The Motley Fool, The College Investor, and BrokerChooser.

The two claims are incompatible for the same company's asset size. The flagged source excerpt from The Motley Fool shows "Fidelity $18.0 trillion $7.1 trillion 57 million customers 12/31/2025," indicating that both total client assets and AUM figures appear in the same source. Investopedia's excerpt states "Fidelity Investments had $7.1 trillion under management and 57 million active accounts."

The inconsistency reflects how AI platforms synthesize different figures from overlapping sources. Google AI Overviews surfaced the AUM figure as the primary asset measure, while Copilot presented both total client assets and AUM. The conflicting framing could create confusion for users comparing brokerage firms based on asset size.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What are the top stock brokerage firms?" Result: Fidelity appeared as the first recommendation with a rank-one rate of 65.96% on this platform, though the response also produced a factual inconsistency about Fidelity's asset size.

ChatGPT / Brand Recommendation Prompt: "What is the best app to start investing on?" Result: Fidelity holds a 48.39% rank-one rate on ChatGPT, lower than its performance on Google AI Overviews and Perplexity, indicating platform-specific placement variation.

Perplexity / Brand Recommendation Prompt: "What is the best Roth IRA to open?" Result: Fidelity holds a 54.12% rank-one rate and 96.47% valid recommendation coverage on Perplexity, one of its strongest platform signals.

Copilot / Brand Recommendation Prompt: "What are the top stock brokerage firms?" Result: Fidelity holds a 70.37% rank-one rate on Copilot, the highest across all platforms, but the response also produced conflicting asset size figures.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the 12.5% of qualified observations where Fidelity is mentioned but not recommended, identifying which prompt types and platforms produce those gaps.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where Fidelity's placement dominance is weakest, particularly ChatGPT, and build a plan to convert mentions into recommendations.

Phase 3: Owned Answer Layer Buildout Strengthen Fidelity's owned content to ensure accurate, consistent asset size figures and clear IRA positioning are available for AI systems to retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Expand Fidelity's presence in the source layer, particularly on platforms where third-party sources dominate citations, to support consistent recommendation framing.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Fidelity's coverage, top-three rate, rank-one rate, and sentiment across all six platforms to measure progress and detect emerging inconsistencies.

Why This Matters

AI presence alone is not enough. Fidelity appears in 99.6% of qualified observations but earns a valid recommendation in 87.5% of them. The 12.5-point gap represents prompts where Fidelity is mentioned but not chosen. In a category where Charles Schwab is 1.0 point behind on coverage, every recommendation slot matters.

The next move is targeted correction of the prompt, page, and citation layers. Fidelity's placement dominance is strong, but it depends on consistent, accurate framing across platforms. The asset size inconsistency detected across Copilot and Google AI Overviews shows how conflicting source data can create confusion even for the category leader. Closing the coverage gap and resolving source inconsistencies will strengthen Fidelity's position as the default recommendation for IRA discovery.

Core Metrics

Sentiment Score

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

Fidelity's sentiment score is 0.8778. This is calculated from 471 positive mentions, 57 neutral mentions, and 4 negative mentions across 532 total mentions.

This matters because unclassified mention counts are misleading. 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. Fidelity's 532 mentions include 57 neutral references and 4 negative mentions that would be miscounted as positive if sentiment were not classified.

Share of voice is a diagnostic metric, not a business KPI. Fidelity's 99.6% presence rate shows it appears in nearly every qualified observation, but presence alone does not capture whether Fidelity is recommended, how prominently it is placed, or how it is framed. Classified sentiment is required before interpreting AI visibility.

Sentiment by Platform

Questions This Section Answers

• Which platform shows the highest sentiment score for Fidelity, and which shows the lowest?
• How does Copilot's high rank-one rate relate to its flagged asset size inconsistency?

Methodology

1. This report is a benchmark-based analysis of Fidelity's AI recommendation visibility in the IRA category for October 2026. It is not a client result and does not imply that CiteWorks Studio caused any benchmark outcome.
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 Overviews, and Google AI Mode. Platform-level metrics are reported only for platforms with qualified observations.
4. The October 2026 benchmark produced 534 qualified observations after qualification. The raw collection began with 800 prompt-surface observations, 619 unique questions, and 800 brand-mentioned prompts.
5. The competitor universe includes ten tracked brands: Fidelity, Charles Schwab, Robinhood, Vanguard, E*TRADE, SoFi, Betterment LLC, Merrill Edge, Wealthfront Corporation, and M1 Finance.
6. One public high-intent cluster had qualified data in October 2026: C01, Best Budgeting Apps Discovery & Evaluation, at the consideration buyer stage. Clusters C02 (Budgeting App Comparisons & Alternatives) and C03 (Budgeting App Pricing, Fees & Cost Evaluation) had no qualified observations this month. The C01 cluster label does not match the IRA category measured in this report, so cluster-level findings should be read as a taxonomy conflict rather than a direct IRA signal.
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 and is not automatically proof that the source caused the recommendation.
8. A mention is counted when Fidelity appears in an AI response to a qualified observation. A valid recommendation is counted when Fidelity appears in a valid recommendation shortlist within a qualified observation.
9. Top-three rate measures the share of qualified observations where Fidelity is recommended within the top three positions. Rank-one rate measures the share where Fidelity is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
10. Net sentiment score is calculated as (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions, on a scale from -1 to 1. This is framing quality, not customer sentiment.
11. The entity label for Betterment and Wealthfront changed in September 2026. Betterment appears as Betterment LLC and Wealthfront appears as Wealthfront Corporation. Earlier data points for those two entities are not directly comparable to current readings.
12. Limitations: The public benchmark does not measure market share or sales attribution, every possible AI response across all surfaces and phrasings, organic-search ranking performance, social media mention volume, private or sponsored channels, or causality from a metric movement alone. The benchmark records change but does not establish why it occurred. Small counts for lower-coverage brands carry higher uncertainty than the leaders.

See How AI Is Recommending Your Brand

The public benchmark shows where Fidelity stands in AI-generated recommendations for IRAs. A company-level AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns behind those numbers into a prioritized strategy for your brand.