Fidelity AI Market Strategy Report - Robo-Advisors

Answer Capsule

Fidelity is the dominant recommendation leader in the Robo-Advisors category, holding 83.75% valid recommendation coverage in September 2026, effectively flat against its 83.4% July baseline. The benchmark shows Fidelity appears in 99.11% of qualified observations, the highest raw presence rate in the tracked set, and holds a 6.4 percentage point coverage lead over second-place Charles Schwab. The clearest strength is Fidelity's 57.31% top-three recommendation rate, more than double any competitor outside Charles Schwab. The clearest weakness is a 4.1 point decline in rank-one rate, from 41.3% in July to 37.22% in September, meaning Fidelity is being shortlisted as broadly as ever but appearing first less often. The clearest opportunity is defending and extending first-position recommendation share across the six tracked AI surfaces.

Who This Report Is For

This report is for Fidelity's marketing, digital strategy, and competitive intelligence teams, and for category analysts tracking how AI systems recommend robo-advisors at the discovery and consideration stage.

Report Card

Executive Summary

Fidelity holds dominant recommendation power in the Robo-Advisors category. The September 2026 benchmark shows Fidelity at 83.75% valid recommendation coverage, up 7.7 points from August's 76.1% and effectively even with its 83.4% July baseline. The brand appears in 99.11% of qualified observations, the highest raw mention presence rate in the tracked set, and leads second-place Charles Schwab by 6.4 percentage points.

The recommendation profile is strongly positive. Fidelity recorded 624 positive mentions, 46 neutral mentions, and 1 negative mention across 671 total mentions in 677 qualified observations, producing a net sentiment score of 0.9285. The brand holds 567 valid recommendations, 388 top-three placements, and 252 rank-one placements.

The strongest cluster is Brand Recommendation discovery and evaluation, the only qualified cluster in the public benchmark. Fidelity's 57.31% top-three rate and 37.22% rank-one rate both lead the category. The brand's average recommended rank of 1.66 is the strongest in the tracked set.

The clearest weakness is rank-one erosion. Fidelity's rank-one rate fell 4.1 points from 41.3% in July to 37.22% in September, even as overall coverage held steady. The brand is being shortlisted as broadly as ever, but it is appearing first in AI answers less often than at the start of the series.

The strongest platform signal is Google AI Mode, where Fidelity holds 87.2% valid recommendation coverage and a 45.3% rank-one rate across 179 observations. Copilot shows the highest rank-one rate at 60.4%, though on a smaller base of 89 observations. ChatGPT shows the lowest rank-one rate at 47.8%, still well above any competitor.

The clearest platform gap is Perplexity, where Fidelity's rank-one rate is 14.6%, the lowest of the six tracked surfaces. The brand remains the coverage leader on Perplexity at 88.5%, but first-position recommendations are concentrated on other surfaces.

What Fidelity Is Winning

Questions This Section Answers

• Where does Fidelity lead the Robo-Advisors category most decisively?
• Which metrics show Fidelity's strongest recommendation position over Charles Schwab and Betterment?

Fidelity holds the strongest recommendation position in the category across nearly every measured dimension.

The brand leads on valid recommendation coverage at 83.75%, a 6.4 point gap over Charles Schwab and more than 8 points over third-place Betterment. Fidelity's 99.11% raw mention presence rate means the brand appears in nearly every qualified observation, giving it the broadest possible surface for recommendation conversion.

Fidelity's top-three recommendation rate of 57.31% is more than double Charles Schwab's 46.09% and more than triple Betterment's 18.76%. The brand's 37.22% rank-one rate is nearly four times Charles Schwab's 10.04%, the second-highest in the category.

The brand's average recommended rank of 1.66 is the strongest in the tracked set, well ahead of Charles Schwab at 2.34 and Vanguard at 3.28. This indicates that when Fidelity is recommended, it is typically recommended near the top of the list.

Fidelity's net sentiment score of 0.9285 reflects 624 positive mentions against a single negative mention, the cleanest framing profile among high-coverage brands. The brand shows no meaningful negative framing across any platform.

On Google AI Mode, Fidelity holds 87.2% valid recommendation coverage and a 45.3% rank-one rate across 179 observations, the largest single-platform observation base in the benchmark. On Copilot, the brand's rank-one rate reaches 60.4%, the highest of any platform.

Where Fidelity Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Which platforms show Fidelity's lowest rank-one rates despite strong coverage?
• What does the rank-one decline mean for Fidelity's position on AI-recommended robo-advisors?

Fidelity's primary gap is rank-one erosion rather than coverage loss. The brand's rank-one rate fell from 41.3% in July to 37.22% in September, a 4.1 point decline, even as valid recommendation coverage held at 83.75%. This means Fidelity is being shortlisted as broadly as ever but is appearing first in AI answers less often.

The gap is most visible on Perplexity, where Fidelity's rank-one rate is 14.6% despite an 88.5% coverage rate. The brand is present and recommended on Perplexity, but first-position recommendations are concentrated on other surfaces. Charles Schwab's Perplexity rank-one rate is 16.7%, slightly ahead of Fidelity on that surface.

On ChatGPT, Fidelity's rank-one rate is 47.8%, the lowest of the six tracked platforms. The brand still leads the category on ChatGPT by a wide margin, but the first-position rate trails its own performance on Copilot and Google AI Mode.

The benchmark does not yet contain qualified observations in the Pricing and Value or Multi-Brand Comparison clusters. Fidelity's position in price-focused or head-to-head comparison prompts is not measured in this public series, leaving a commercial question unanswered about how AI systems frame Fidelity against named competitors when buyers ask directly.

The rank-one decline is not accompanied by a presence decline. Fidelity's raw mention presence rate rose from 98.3% in July to 99.11% in September. The brand is appearing in more answers, not fewer, but is being placed first less often. The benchmark identifies where attention is warranted; a company-level analysis is needed to explain which prompts or surfaces account for the shift.

Biggest Opportunity

Fidelity's clearest opportunity is defending and extending rank-one recommendation share across the six tracked AI surfaces. The brand already holds the broadest coverage and the strongest average recommended rank in the category. The gap between its 57.31% top-three rate and its 37.22% rank-one rate represents 20.1 percentage points of shortlist placements where Fidelity is recommended but not first.

Closing even part of that gap would strengthen Fidelity's position at the decision moment, where buyers are forming their shortlist and choosing which brand to evaluate first. The opportunity is concentrated on Perplexity and ChatGPT, where rank-one rates trail the brand's own performance on Copilot and Google AI Mode.

Competitive Landscape

Questions This Section Answers

• How does Fidelity's recommendation performance compare to Charles Schwab and other robo-advisors?
• Which competitors pose the strongest challenge to Fidelity's AI recommendation leadership?

Fidelity holds the strongest recommendation-stage position in the Robo-Advisors category, leading on coverage, top-three rate, rank-one rate, and average recommended rank. Charles Schwab is the strongest challenger, holding second place on coverage and top-three rate but trailing Fidelity by a wide margin on rank-one placements.

Average recommended rank covers rank-eligible recommendations only.

Fidelity's position at the top of the table reflects its 57.31% top-three rate and 37.22% rank-one rate, both the highest in the tracked set. The gap between Fidelity and Charles Schwab on rank-one rate, 37.22% versus 10.04%, is the widest separation between the top two brands on any metric in the table.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the best app to start investing on?" Result: Fidelity was recommended in the top three positions in 59.2% of Google AI Mode observations and ranked first in 45.3%, the strongest platform-level placement rate in the benchmark.

Perplexity / Brand Recommendation Prompt: "Who is the biggest robo-advisor?" Result: Fidelity held 88.5% valid recommendation coverage on Perplexity but ranked first in only 14.6% of observations, the lowest rank-one rate of the six tracked platforms.

ChatGPT / Brand Recommendation Prompt: "What is the best investment app for a beginner?" Result: Fidelity appeared in 82.6% of ChatGPT observations as a valid recommendation and ranked first in 47.8%, the lowest rank-one rate among the brand's high-coverage platforms.

Copilot / Brand Recommendation Prompt: "Who has the best robo investing?" Result: Fidelity ranked first in 60.4% of Copilot observations, the highest rank-one rate of any platform, with 83.5% valid recommendation coverage across 89 observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Fidelity's prompt-level recommendation outcomes across all six tracked surfaces, isolating the specific prompts and clusters where rank-one placements declined between July and September 2026.

Phase 2: Recommendation Readiness Plan Prioritize the Perplexity and ChatGPT surfaces where rank-one rates trail the brand's own performance on Copilot and Google AI Mode, and identify the prompt types driving the gap.

Phase 3: Owned Answer Layer Buildout Strengthen Fidelity's owned content on the comparison, pricing, and selection prompts that AI systems draw on when forming first-position recommendations, particularly where the public benchmark shows no qualified coverage.

Phase 4: Citation and Authority Layer Development Develop the public evidence layer that AI systems retrieve and synthesize, focusing on the source types that appear most often in Fidelity's high-rank-one platform observations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track rank-one rate, top-three rate, and coverage by platform and cluster month over month to confirm whether the September rank-one decline reverses or continues.

Why This Matters

AI presence alone is not enough. Fidelity appears in 99.11% of qualified observations, but its rank-one rate fell 4.1 points between July and September 2026. A buyer asking an AI system for a robo-advisor recommendation may see Fidelity in the answer without seeing it first, and the first brand named often shapes which options the buyer evaluates.

The next move is targeted correction of the prompt, page, and citation layers that drive first-position recommendations. Fidelity's coverage lead is secure; the opportunity is converting that coverage into first-position placements on the surfaces where the brand is present but not leading.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why does Fidelity's sentiment score matter more than its raw mention count?
• What does Fidelity's near-zero negative framing reveal about its AI visibility?

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

Fidelity's sentiment score for September 2026 is 0.9285, calculated from 624 positive mentions, 46 neutral mentions, and 1 negative mention across 671 total mentions.

This matters because unclassified mention counts are misleading. A brand can appear frequently in AI answers without being recommended, and a neutral reference is not the same as a positive recommendation. 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. Fidelity's 99.11% presence rate and its 83.75% valid recommendation coverage tell different stories: the brand is mentioned in nearly every observation, but it is recommended in roughly five of every six. Classified sentiment is required before interpreting AI visibility, and Fidelity's near-zero negative framing is a genuine strength that raw mention counts alone would not reveal.

Sentiment by Platform

Questions This Section Answers

• Which platforms show the strongest positive sentiment for Fidelity?
• Where does Fidelity appear as context rather than a recommendation?

Methodology

1. This report is a benchmark-based analysis of Fidelity's AI recommendation position in the Robo-Advisors category, drawn from the LLM Authority Index AI Market Discovery Index for September 2026.
2. The reporting window covers July 2026 through September 2026, with September 2026 as the current month and July 2026 as the baseline.
3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six recorded qualified observations in each month of the series.
4. The September 2026 benchmark produced 677 qualified observations from a source collection of 800 prompt-surface observations. The July 2026 baseline produced 705 qualified observations.
5. The competitor universe includes 10 tracked brands: Fidelity, Charles Schwab, Betterment, Vanguard, Wealthfront, SoFi, Acorns, M1 Finance, Ellevest, and Wealthsimple.
6. All qualified observations in the September 2026 benchmark fell into the Brand Recommendation cluster, capturing discovery and consideration intent. No qualified observations were recorded in the Pricing and Value or Multi-Brand Comparison clusters.
7. Stage 0 extraction retained the query, AI/search 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 a qualified observation in any form, including neutral or cautionary references.
9. A valid recommendation is counted when a brand appears in a recommendation shortlist within a qualified observation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Brand-level percentages use the qualified observation count of 677 as the public denominator, not the raw collection of 800.
11. The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private or sponsored channels. A metric movement alone does not establish causality.
12. The September 2026 rank-one rate of 37.22% reflects 252 rank-one placements across 677 qualified observations. The July 2026 rank-one rate of 41.3% reflects the baseline measurement.

See How AI Is Recommending Your Brand

The public benchmark shows where Fidelity leads and where rank-one placements are slipping. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources behind those movements, and identifies the highest-priority corrections for the next measurement cycle.