Fidelity AI Market Strategy Report - Online Financial Advisors

Fidelity Go appears in 27.9% of AI observations across six platforms but earns a valid recommendation in only 14.7% of cases, revealing a significant gap between visibility and shortlist eligibility. Its monthly AI Authority Value of $222K places it fourth in the category, well behind Betterment and Wealthfront. Fidelity Go achieves the best average recommended rank in the category at 2.23 when it is recommended, and performs particularly well on Copilot where it reaches a 19.1% Top 3 rate and a 17.3% rank-one rate. The clearest weakness is low overall recommendation coverage that limits total captured value despite strong rank quality. The clearest opportunity is converting Copilot and Google AI Overviews strength into broader platform coverage, particularly on ChatGPT where the largest platform opportunity remains largely uncaptured.

Who This Report Is For

This report is for Fidelity Go product, marketing, and digital strategy leaders who need to understand how AI platforms are recommending the brand versus competitors in the online financial advisor category.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Fidelity Go
• Category / market studied: Online Financial Advisors
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, Google AI Overviews
• Public high-intent clusters: 3 (Discovery, Comparison, Pricing and Fee Evaluation)
• AI observations analyzed: 1,282
• Competitors tracked: Betterment, Wealthfront, SoFi, Schwab Intelligent Portfolios, Ellevest, Empower (Personal Capital), Facet Wealth, Vanguard Personal Advisor, Zoe Financial

Executive Summary

Fidelity Go occupies a distinctive position in the online financial advisor AI landscape. It is not a category leader by total captured value, but it demonstrates the strongest rank quality in the category when it is recommended. The LLM Authority Index benchmark for June 2026 shows Fidelity Go appearing in 358 of 1,282 total observations across six AI platforms, a raw mention presence rate of 27.9%. Of those appearances, 189 qualify as valid recommendations, giving Fidelity Go a valid recommendation coverage rate of 14.7%.

The brand achieves an average recommended rank of 2.23, the best in the category when it is recommended. This means that when AI systems choose to recommend Fidelity Go, they place it near the top of the shortlist. Fidelity Go achieves a Top 3 recommendation rate of 12.0% and a rank-one rate of 6.3%. Its net sentiment score of 0.65 reflects consistently positive framing across platforms, with zero negative mentions recorded across all 1,282 observations.

The most significant finding is platform concentration. Fidelity Go performs exceptionally well on Copilot, where it achieves a 19.1% Top 3 rate and a 17.3% rank-one rate, and on Google AI Overviews, where it achieves a 21.2% Top 3 rate and an 11.98% rank-one rate. On ChatGPT, however, performance drops sharply to a 4.98% Top 3 rate and a 1.99% rank-one rate. This platform gap represents the clearest structural weakness in Fidelity Go's current AI recommendation footprint.

Fidelity Go captures a monthly AI Authority Value of $222K, placing it fourth in the category behind Betterment ($1.99M), Wealthfront ($1.74M), and SoFi ($1.03M). The modeled monthly lost opportunity value of $22.4M indicates substantial room for growth if recommendation coverage can be improved across all platforms. Modeled values are estimates and are not revenue.

The comparison cluster (C02) is Fidelity Go's strongest cluster by average recommended rank, at 1.95. The pricing and fee evaluation cluster (C03), which carries the highest buyer stage multiplier in the benchmark at 1.5x, shows the clearest underperformance relative to the brand's product strength on fees. Discovery (C01) remains the cluster with the widest gap between presence and recommendation credit.

What Fidelity Go Is Winning

Strongest rank quality in the category. Fidelity Go achieves an average recommended rank of 2.23, the best in the category when it is recommended. Betterment averages 2.45, Wealthfront averages 2.35, and SoFi averages 3.06. When AI systems include Fidelity Go in a shortlist, the brand earns a near-top position consistently.

Copilot dominance. On Copilot, Fidelity Go achieves a 19.1% Top 3 rate and a 17.3% rank-one rate. The average recommended rank on Copilot is 1.20, meaning Fidelity Go is typically the first or second recommendation when it appears. This is the strongest single-platform recommendation performance for any brand outside the top two in the category.

Google AI Overviews strength. Fidelity Go achieves a 21.2% Top 3 rate and an 11.98% rank-one rate on Google AI Overviews. The net sentiment score on this platform is 0.83, the highest for Fidelity Go across all platforms. The benchmark analysis found that Google AI Overviews responses frequently surfaced Fidelity Go's fee structure as a cited differentiator.

Positive framing across all platforms. Fidelity Go recorded zero negative mentions across all 1,282 observations. Its net sentiment score of 0.65 is the third highest in the category, behind Betterment (0.70) and Wealthfront (0.69). The absence of cautionary or negative framing is a durable advantage in a category where trust is a primary purchase signal.

Comparison-stage rank performance. In the comparison cluster (C02), Fidelity Go achieves an average recommended rank of 1.95, its strongest cluster-level rank result. When buyers are actively comparing options, the benchmark shows Fidelity Go earning a near-top shortlist position.

Where Fidelity Go Has the Clearest AI Visibility Gaps

Low overall recommendation conversion. Fidelity Go appears in 27.9% of observations but earns a valid recommendation in only 14.7% of cases. In roughly half of its appearances, the brand is mentioned but not recommended. Betterment converts 50.5% raw presence into 30.7% recommendation coverage. Wealthfront converts 50.9% presence into 30.4% coverage. Fidelity Go is visible but consistently under-recommended relative to its presence rate.

ChatGPT underperformance. On ChatGPT, Fidelity Go achieves only a 4.98% Top 3 rate and a 1.99% rank-one rate. ChatGPT represents the largest platform opportunity in the benchmark at $7.4M monthly modeled value. Fidelity Go captures only $28.6K of that total. Betterment captures $421.8K on ChatGPT and Wealthfront captures $814.2K. The gap between Fidelity Go's Copilot performance and its ChatGPT performance suggests that the source signals driving Copilot recommendations are not equally present or weighted in ChatGPT's retrieval layer.

Weak decision-stage presence. In the pricing and fee evaluation cluster (C03), which carries the highest buyer stage multiplier at 1.5x, Fidelity Go captures only $81K in monthly AI Authority Value. Betterment captures $1.15M in this cluster. Fidelity Go is present in 28.9% of C03 observations but earns a recommendation in only 13.6% of cases. For a product whose zero-fee structure below $25,000 is a primary differentiator, this underperformance at the decision stage is the clearest misalignment between product strength and AI recommendation credit.

Perplexity gap. On Perplexity, Fidelity Go achieves only a 5.19% Top 3 rate and a 2.83% rank-one rate. Its net sentiment score on Perplexity is 0.47, the lowest for the brand across all platforms. Perplexity users tend to be high-intent, research-driven buyers. The dataset marks Fidelity Go as present in Perplexity responses but largely as a contextual reference rather than a shortlisted recommendation.

Discovery-stage displacement. In the discovery cluster (C01), Fidelity Go captures only $59K in monthly AI Authority Value compared to Betterment's $679K and Wealthfront's $667K. Fidelity Go is present in 25.5% of discovery observations but earns a recommendation in only 15.6% of cases. At the awareness stage, AI systems are seeing the brand but not advancing it into the shortlist, which compresses downstream recommendation opportunity across both comparison and decision clusters.

Biggest Opportunity

The clearest path from current performance to meaningful recommendation coverage growth is extending Copilot and Google AI Overviews performance to ChatGPT. Fidelity Go already demonstrates that it can earn top-ranked recommendations when the right source architecture is in place. The Copilot results show a 17.3% rank-one rate and an average recommended rank of 1.20. The Google AI Overviews results show an 11.98% rank-one rate with a 0.83 sentiment score. These results indicate that the brand's fee structure, product positioning, and institutional trust signals are compelling to AI systems when the supporting evidence layer is accessible. ChatGPT, which accounts for the largest share of modeled platform value at $7.4M monthly, is not drawing on those same signals consistently. Closing that gap, by strengthening the public citation and source layer that ChatGPT retrieves from, is the highest-value single action available to Fidelity Go in this category.

Prompt Evidence

ChatGPT / Discovery (C01) Prompt: "What is the best robo-advisor for beginners?" Result: Fidelity Go was mentioned but not recommended in a top-three position. Betterment and Wealthfront dominated the shortlist, and Fidelity Go appeared as a supplementary reference.

Copilot / Comparison (C02) Prompt: "Compare Fidelity Go vs Betterment for automated investing" Result: Fidelity Go appeared as the first recommendation. The AI surfaced Fidelity Go's fee structure and integration with Fidelity's broader platform as cited differentiators.

Google AI Overviews / Pricing and Fee Evaluation (C03) Prompt: "Which robo-advisor has the lowest fees?" Result: Fidelity Go was recommended in the top three. The AI noted its zero advisory fee structure for balances under $25,000 as the primary cited reason.

Perplexity / Discovery (C01) Prompt: "Best managed portfolio services for retirement" Result: Fidelity Go appeared in the response as a contextual reference. Betterment and Wealthfront occupied the top shortlist positions, and Fidelity Go was not advanced to a valid recommendation.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the full prompt-level response data across all six platforms to identify exactly which prompts Fidelity Go wins, loses, or is displaced by competitors, with particular focus on the ChatGPT and Perplexity gaps.

Phase 2: Recommendation Readiness Plan Analyze the source architecture differences between Copilot and ChatGPT to understand why Fidelity Go earns top-ranked recommendations on one platform but not the other, and define the specific content and citation changes most likely to close that gap.

Phase 3: Owned Answer Layer Buildout Develop pricing-stage and comparison-stage content designed to be retrievable by AI systems, with a focus on the zero-fee structure and institutional trust signals that AI systems surface consistently when they do recommend Fidelity Go.

Phase 4: Citation and Authority Layer Development Strengthen the public evidence layer with third-party citations from financial media, review platforms, and comparison sites that AI systems use to justify recommendations at the decision stage, where Fidelity Go currently underperforms.

Phase 5: Monthly AI Visibility and Recommendation Tracking Establish ongoing monitoring of Fidelity Go's recommendation coverage, Top 3 rate, rank-one rate, and platform-specific performance to measure whether source layer changes produce recommendation improvements over time.

Why This Matters

Fidelity Go carries a strong product story: a zero-fee structure below $25,000, integration with one of the most trusted financial institutions in the market, and competitive managed portfolio features. The benchmark data confirms that when AI systems recommend Fidelity Go, they place it near the top of the shortlist. The problem is that AI systems do not recommend Fidelity Go often enough, and the gap between a 14.7% recommendation coverage rate and Betterment's 30.7% is not explained by product quality. It is explained by the public evidence layer that AI systems draw on when forming recommendations.

The brands capturing the most AI recommendation value in this category are not necessarily the largest or most widely advertised. They are the brands with the most consistent, positive, and citable public evidence across the full buyer journey. Fidelity Go already proves it can win top-ranked recommendations on Copilot and Google AI Overviews. Extending that performance to ChatGPT and Perplexity, where a significant share of AI-led buyer discovery occurs, requires targeted correction of the prompt, page, and citation layers rather than broader brand investment.

Core Metrics

• Mentions: 358
• Valid recommendations: 189
• Top 3 recommendation count: 154
• Rank 1 recommendation count: 81
• Average recommended rank: 2.23
• Positive mentions: 233
• Neutral mentions: 125
• Negative mentions: 0
• Raw mention presence rate: 27.9%
• Valid recommendation coverage: 14.7%
• Top 3 recommendation rate: 12.0%
• Rank 1 recommendation rate: 6.3%
• Strongest cluster by recommendation behavior: Comparison (C02), average recommended rank 1.95
• Strongest platform by recommendation behavior: Copilot, 19.1% Top 3 rate and 17.3% rank-one rate

Sentiment Score

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

Fidelity Go Sentiment Score = (233 x 1 + 125 x 0 + 0 x -1) / 358 = 233 / 358 = 0.65

This score matters because unclassified mention counts are misleading. 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 carry different commercial weight and must not be counted equally. Fidelity Go's 0.65 score reflects consistently positive framing across all six platforms, and the absence of negative mentions is a structural advantage in a trust-sensitive category. However, the low recommendation coverage rate means that a significant portion of those positive mentions are contextual appearances rather than shortlist positions. Sentiment quality and recommendation conversion are separate signals, and both must be tracked.

Sentiment by Platform

Methodology

1. This report is an AI Company Market Strategy Report. It is benchmark-based analysis derived from the LLM Authority Index June 2026 dataset for the Online Financial Advisors category. It is not a client implementation case study and does not imply CiteWorks Studio caused any of the observed outcomes.
2. The reporting window covers June 2026. All metrics reflect AI platform behavior during that period. AI outputs can change between reporting windows.
3. Platforms tracked: ChatGPT, Gemini, Copilot, Perplexity, Google AI Mode, and Google AI Overviews.
4. Total observations analyzed: 1,282 across all platforms and clusters.
5. Prompt count: A total prompt count was not provided in the source dataset. Unique prompt count is unavailable in the public version of this benchmark.
6. Competitor universe: Betterment, Wealthfront, SoFi, Fidelity Go, Schwab Intelligent Portfolios, Ellevest, Empower (Personal Capital), Facet Wealth, Vanguard Personal Advisor, and Zoe Financial.
7. Public high-intent clusters analyzed: Discovery (C01), Comparison (C02), and Pricing and Fee Evaluation (C03). The benchmark includes three of ten total buyer clusters in the full dataset.
8. A mention is defined as any appearance of the company in an AI-generated response, regardless of sentiment, rank, or recommendation status.
9. A valid recommendation is defined as a positive, shortlist-quality recommendation that earns recommendation credit. Contextual references, neutral citations, cautionary mentions, and competitor-displaced appearances do not qualify as valid recommendations.
10. Ranking metrics include valid recommendation coverage, Top 3 rate, rank-one rate, average recommended rank, and net sentiment score. Monthly AI Authority Value is a modeled benchmark estimate and is not revenue, pipeline, or booked demand.
11. Modeled monthly lost opportunity value of $22.4M reflects the gap between current captured value and full-category modeled potential. This figure is an estimate and is not a revenue projection.
12. Ahrefs or traditional search data was not included in this report. If supplied, it would be used only as supporting evidence for the organic search and source visibility layer and would not override LLM Authority Index AI recommendation metrics.

See How AI Is Recommending Your Brand

The benchmark shows the category shape and where Fidelity Go stands relative to competitors across six platforms and three buyer clusters. A company-specific analysis goes deeper, showing which individual prompts the brand wins or loses, which source layers are shaping AI answers, which platforms present the highest commercial risk, and what targeted changes may improve recommendation-stage visibility. CiteWorks Studio maps recommendation footprints, identifies competitor displacement patterns, and builds the citation and content architecture that supports shortlist eligibility where it matters most.