Fidelity AI Market Strategy Report - IRAs

Answer Capsule

Fidelity is the dominant recommendation leader in the IRAs category, holding 86.35% valid recommendation coverage in September 2026, the highest among all ten tracked brands. Fidelity appears in 99.62% of qualified AI observations, meaning it is nearly always present in AI-generated IRA guidance, and it converts that presence into first-position placement at a 51.54% rate. The clearest win is Fidelity's rank-one dominance, which far exceeds Charles Schwab's 17.88% rate despite near-identical coverage levels. The clearest weakness is the small pocket of qualified observations where Fidelity is still not recommended, roughly 13.65% of the market. The clearest opportunity is converting the remaining presence-without-recommendation gap into valid shortlist inclusion, particularly on platforms where Fidelity's recommendation coverage trails its near-universal presence.

Who This Report Is For

This report is for IRA product, growth, and brand strategy leaders at Fidelity who need to understand where AI-generated recommendations in the IRA provider category are won and lost.

Report Card

Executive Summary

Fidelity holds the strongest recommendation position in the IRAs category. The September 2026 LLM Authority Index benchmark shows Fidelity leading all ten tracked brands with 86.35% valid recommendation coverage, ahead of Charles Schwab at 85.19% and Robinhood at 75.19%. Fidelity was present in 518 of 520 qualified observations, a 99.62% raw mention presence rate, meaning AI systems almost always surface Fidelity when answering IRA-related questions.

The gap between presence and recommendation is the core strategic finding. Fidelity is mentioned in nearly every qualified observation but is recommended in 86.35% of them. The remaining observations where Fidelity appears without being recommended represent the clearest expansion opportunity. Positive framing dominates Fidelity's profile, with 473 positive mentions, 40 neutral mentions, and only 5 negative mentions across 520 observations, producing a net sentiment score of 0.9035.

Fidelity's strongest cluster is the Brand Recommendation cluster, which captured all 520 qualified observations in September 2026. Within this cluster, Fidelity achieved a 75.19% top-three rate and a 51.54% rank-one rate. The strongest platform signal comes from Google AI Overviews, where Fidelity reached 82.35% top-three placement and 63.24% rank-one placement, followed closely by ChatGPT at 84.78% top-three and 65.22% rank-one.

The clearest platform gap is Gemini, where Fidelity's valid recommendation coverage drops to 52.94%, well below its performance on ChatGPT, Copilot, Google AI Mode, Google AI Overviews, and Perplexity. The clearest cluster gap is the absence of qualified observations in pricing, value, and multi-brand comparison clusters, meaning the public benchmark cannot yet measure how AI systems recommend Fidelity when cost or head-to-head comparisons drive the question.

What Fidelity Is Winning

Questions This Section Answers

• On which core recommendation metrics does Fidelity lead the IRAs category?
• What does Fidelity's rank-one dominance signal about how AI systems present it?

Fidelity leads the IRAs category on every core recommendation metric in September 2026. The benchmark shows Fidelity with the highest valid recommendation coverage at 86.35%, the highest top-three rate at 75.19%, and the highest rank-one rate at 51.54%. No other tracked brand comes close on first-position placement, with Charles Schwab the nearest challenger at 17.88%.

Fidelity's rank-one dominance is the strongest single signal in the dataset. Fidelity was the first recommendation in 268 of 520 qualified observations. This means AI systems are not just listing Fidelity as an option; they are consistently selecting Fidelity as the default answer for IRA account questions.

The sentiment profile is another clear win. Fidelity's net sentiment score of 0.9035 is the highest among all tracked brands, with 473 positive mentions and only 5 negative mentions. The positive visibility rate of 90.96% means that when Fidelity appears in AI responses, it is almost always framed favorably.

Fidelity also shows strength across platforms. The brand holds valid recommendation coverage above 80% on ChatGPT, Copilot, Google AI Mode, Google AI Overviews, and Perplexity, with Google AI Overviews at 82.35% and Google AI Mode at 93.48%. This cross-platform consistency is rare in the category and indicates that Fidelity's authority signals are not concentrated on a single AI surface.

Where Fidelity Has the Clearest AI Visibility Gaps

Questions This Section Answers

• What is the presence-without-recommendation pattern, and how large is Fidelity's gap?
• Why does Fidelity's recommendation performance drop on Gemini?
• How does Fidelity's first-position advantage over Charles Schwab shape the competitive risk?

Fidelity's primary gap is the difference between near-universal presence and slightly lower recommendation coverage. Fidelity is mentioned in 99.62% of qualified observations but recommended in only 86.35%. The 13.65% gap represents roughly 71 qualified observations where Fidelity appears in AI responses without earning a valid recommendation. This is the presence-without-recommendation pattern, where AI systems surface Fidelity as context or comparison but select another brand as the recommended option.

Gemini is the clearest platform-level gap. Fidelity's valid recommendation coverage on Gemini is 52.94%, substantially below its performance on other platforms. Fidelity's top-three rate on Gemini is only 23.53%, and its rank-one rate drops to 8.82%. This contrasts sharply with ChatGPT, where Fidelity achieves 84.78% top-three and 65.22% rank-one placement. The Gemini gap suggests that Fidelity's evidence layer is less effective at shaping recommendations on this surface.

The competitive displacement pattern is visible in the gap between Fidelity and Charles Schwab. While Fidelity leads on coverage by only 1.16 percentage points, the two brands diverge sharply on first-position placement. Fidelity's 51.54% rank-one rate is nearly three times Charles Schwab's 17.88%. This means Charles Schwab is present in recommendation shortlists almost as often as Fidelity but is rarely selected as the first choice. The competitive risk for Fidelity is not losing shortlist inclusion to Schwab; it is protecting the first-position advantage that drives default selection.

Biggest Opportunity

Questions This Section Answers

• Where is Fidelity's largest presence-to-recommendation conversion gap?
• What is the diagnostic priority for closing the Gemini gap?

Fidelity's biggest opportunity is converting its presence-without-recommendation gap into valid recommendation coverage on Gemini. Fidelity is present in 97.06% of Gemini observations but recommended in only 52.94%, a gap of more than 44 percentage points. This is the largest presence-to-recommendation conversion gap across all platforms in the dataset.

The opportunity is specific and measurable. If Fidelity could raise its Gemini recommendation coverage to match its ChatGPT performance, it would close the largest remaining platform gap in its AI visibility profile. The diagnostic priority is identifying which Gemini prompt types surface Fidelity without recommending it, and which competitors capture those recommendation slots. Given that Fidelity already holds strong coverage on five of six tracked platforms, Gemini represents the clearest path to near-universal recommendation coverage across the AI landscape.

Competitive Landscape

Questions This Section Answers

• How do Fidelity's placement metrics compare with Charles Schwab's shortlist behavior?
• Which positions do Robinhood and other challengers hold on coverage and top-three placement?

Fidelity holds the strongest recommendation-stage position in the IRAs category, leading on valid recommendation coverage, top-three rate, and rank-one rate. Charles Schwab is the closest challenger on coverage but trails significantly on first-position placement.

Average recommended rank covers rank-eligible recommendations only.

The table shows Fidelity leading on every placement metric while holding the highest sentiment score in the category. Charles Schwab is the only brand within reach on coverage, but the 33.66 percentage point gap in rank-one rate shows that Schwab is competing for shortlist inclusion, not for default selection. Robinhood holds a clear third position on coverage but converts that coverage into top-three placement at only 22.12%, indicating a presence-heavy profile without first-choice strength.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "Who is the best to go through for a Roth IRA?" Result: Fidelity was recommended first, achieving rank-one placement in 65.22% of ChatGPT observations, the strongest first-position rate on any platform.

Google AI Overviews / Brand Recommendation Prompt: "What is the best Roth IRA right now?" Result: Fidelity appeared in the top three at an 82.35% rate and ranked first at 63.24%, the highest rank-one rate across all tracked platforms.

Gemini / Brand Recommendation Prompt: "What company is best for Roth IRA?" Result: Fidelity was present in 97.06% of Gemini observations but recommended in only 52.94%, with top-three placement dropping to 23.53%, showing a clear presence-to-recommendation conversion gap.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific Gemini prompt types where Fidelity is present but not recommended, identifying which competitors capture those recommendation slots.

Phase 2: Recommendation Readiness Plan Prioritize the presence-to-recommendation gap on Gemini, where Fidelity's 44 percentage point conversion gap is the largest across all platforms.

Phase 3: Owned Answer Layer Buildout Strengthen owned content that answers IRA discovery questions in the format AI systems use for recommendation shortlists, focusing on the prompt patterns where Fidelity loses placement.

Phase 4: Citation / Authority Layer Development Expand the public evidence layer that supports Fidelity's IRA recommendation claims, with emphasis on sources that Gemini retrieves when forming IRA guidance.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Fidelity's Gemini recommendation coverage monthly to measure whether the conversion gap narrows and whether the rank-one advantage over Charles Schwab holds.

Why This Matters

Fidelity has already won the most important battle in AI-driven IRA discovery: it is the default first recommendation across most platforms and prompt types. But AI presence alone is not enough. The 13.65% of qualified observations where Fidelity appears without being recommended, and the 44 percentage point conversion gap on Gemini, represent the next layer of competitive risk.

The buyer decision moment is shifting to AI-generated recommendations. When a prospective IRA customer asks an AI assistant which provider to use, Fidelity is currently the answer more than half the time. Protecting that position requires closing the remaining gaps where Fidelity is visible but not selected, because those are the slots where competitors like Charles Schwab and Robinhood are gaining ground.

Core Metrics

Sentiment Score

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

For Fidelity, the calculation is (473 x 1 + 40 x 0 + 5 x -1) / 518, producing a net sentiment score of 0.9035.

This score matters because unclassified mention counts are misleading. Fidelity appears in 518 observations, but treating all mentions as equal would hide the fact that 5 mentions carry negative framing and 40 are neutral references. Share of voice is a diagnostic metric, not a business KPI; being mentioned is not the same as being recommended. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal outcomes. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates genuine recommendation strength from mere presence.

Sentiment by Platform

Methodology

1. Report orientation: This is a benchmark-based AI market strategy report for Fidelity in the IRAs category, derived from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio analysis. It is not a client implementation case study.
2. Reporting window: September 2026, with July 2026 and August 2026 referenced for movement context where available.
3. Platforms tracked: Six canonical AI/search surface families: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
4. Observation count: 520 qualified benchmark observations in September 2026, drawn from 800 source prompt-surface observations.
5. Competitor universe: Nine tracked competitors: Betterment LLC, Charles Schwab, E*TRADE, M1 Finance, Merrill Edge, Robinhood, SoFi, Vanguard, and Wealthfront Corporation.
6. Public clusters used: One public high-intent cluster, Brand Recommendation, which captured all 520 qualified observations. Pricing, value, and multi-brand comparison clusters had no qualified observations in the public dataset.
7. Stage 0 role: Raw prompt-surface observations are collected and qualified before brand-level metrics are calculated. The qualified set is the public denominator.
8. Definition of a mention: A brand appears at all in an AI response to a qualified observation. Fidelity was present in 518 of 520 qualified observations.
9. Definition of a valid recommendation: A brand appears in a recommendation shortlist within a qualified observation. Fidelity earned 449 valid recommendations.
10. Limitations: The September 2026 measurement introduced an entity label change for Betterment and Wealthfront, making their values not directly comparable to earlier months. The qualified observation count declined from 690 in July 2026 to 520 in September 2026. Movement in a given month identifies areas worth investigating but does not establish cause. The public benchmark does not measure market share, sales attribution, organic search ranking, or causality from metric movements alone.
11. Platform metrics are calculated within each platform's observation set, which varies by surface. Gemini had 34 observations, ChatGPT had 46, Copilot and Perplexity each had 83, Google AI Mode had 138, and Google AI Overviews had 136.
12. Sentiment scoring uses negative = -1, neutral = 0, positive = 1, calculated across classified mentions only.

See How AI Is Recommending Your Brand

The public benchmark shows where Fidelity stands in AI-generated IRA recommendations, but the aggregate percentages cannot identify the specific prompts, competitors, or sources driving each result. A company-level AI visibility audit maps those patterns into a prioritized strategy for closing the Gemini gap and protecting Fidelity's rank-one advantage.