Fidelity AI Market Strategy Report - Robo-Advisors

Fidelity Go holds the strongest sentiment profile in the robo-advisor category and the weakest recommendation conversion rate among the top three platforms.

Answer Capsule

Fidelity Go earns valid recommendation credit in 17.8% of AI observations across the robo-advisor category, placing it third behind Betterment at 34.0% and Wealthfront at 29.8%. The service carries the highest net sentiment score in the category at 0.75, with zero negative mentions across all 1,321 observations, yet that positive framing is not converting into shortlist placement at a competitive rate. The clearest win is Google AI Overviews, where Fidelity Go achieves 33.2% recommendation coverage and a 23.5% rank-one rate. The clearest gap is the decision-stage pricing and fee comparison cluster, where recommendation coverage falls to 16.2% and rank-one placement to 5.3%. The opportunity is direct: convert an exceptional sentiment position into stronger recommendation coverage at the moment buyers are comparing costs and making final selections.

Who This Report Is For

This report is for product, marketing, and strategy leaders at Fidelity responsible for AI discovery positioning, competitive intelligence, and digital acquisition strategy in the robo-advisor category.

Report Card

• Report type: AI Company Market Strategy Report
• Target company: Fidelity Go
• Category / market studied: Robo-Advisors
• Reporting month: June 2026
• AI platforms tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity
• Public high-intent clusters: 3 (Best Robo-Advisor & Top Platforms, Comparisons & Alternatives, Pricing & Fees)
• AI observations analyzed: 1,321
• Competitors tracked: 10

Executive Summary

Fidelity Go appears in 28.8% of all AI observations across the robo-advisor category and earns valid recommendation credit in 17.8% of responses. The service achieves a 15.3% top-three rate and a 7.2% rank-one rate, placing it third in the category. The gap to the leaders is substantial. Betterment's valid recommendation coverage of 34.0% is nearly double Fidelity Go's rate, and Wealthfront's 29.8% is 1.7 times higher. Fidelity Go is present in AI-generated responses at a meaningful rate, but it is not being chosen at a comparable rate to the top two platforms.

The service's most important competitive asset is its sentiment profile. With 284 positive mentions and zero negative mentions across all 1,321 observations, Fidelity Go holds a net sentiment score of 0.75, the highest in the category. No other platform in the top five by recommendation coverage achieves zero negative framing. In a financial services category where trust and safety signals carry commercial weight, this is a structural advantage. The problem is that positive sentiment is not sufficient to produce recommendation credit. Fidelity Go is well-regarded when it appears but is not consistently advanced as a top-tier choice.

The strongest cluster for Fidelity Go is the consideration-stage "Best Robo-Advisor & Top Automated Investing Platforms" cluster, where it achieves 21.1% recommendation coverage and an 8.1% rank-one rate. The weakest cluster is the decision-stage "Pricing, Fees & Cost Evaluation" cluster, where recommendation coverage drops to 16.2% and rank-one rate falls to 5.3%. This pattern is commercially significant. Buyers who are still discovering platforms are more likely to see Fidelity Go than buyers who are actively comparing fees and preparing to open an account.

The strongest platform signal is Google AI Overviews, where Fidelity Go achieves 33.2% recommendation coverage and a 23.5% rank-one rate. This is the one platform where Fidelity Go performs at or near the category leaders. The weakest platform is Perplexity, where recommendation coverage is 8.7% and rank-one placements are zero. This platform-level variance indicates that Fidelity Go's evidence layer and citation architecture are not consistent across AI systems.

The benchmark data also reveals a meaningful conversion gap. Fidelity Go converts 62% of its raw appearances into valid recommendation credit. Betterment converts 63% of a much larger raw mention pool. The core problem for Fidelity Go is not conversion efficiency. It is that the raw mention pool is substantially smaller than the category leaders, meaning Fidelity Go is being retrieved less often by AI systems, not just ranked lower when retrieved.

What Fidelity Go Is Winning

Highest net sentiment in the category. Fidelity Go's net sentiment score of 0.75 is the strongest among all tracked robo-advisor platforms. With 284 positive mentions and zero negative mentions, the service is framed positively in every classified observation. This is a rare outcome in financial services AI recommendations, where cautionary framing, competitor-anchor mentions, and negative comparisons are common.

Dominant performance on Google AI Overviews. On Google AI Overviews, Fidelity Go achieves 33.2% recommendation coverage and a 23.5% rank-one rate. This is the platform where Fidelity Go performs closest to the category leaders and the only platform where its rank-one rate is commercially competitive. The evidence layer that Google AI Overviews retrieves appears to align well with Fidelity Go's positioning in this cluster.

Zero negative framing across all platforms. Across ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity, Fidelity Go carries zero negative mentions. No other platform in the top five by recommendation coverage achieves this. Clean framing across all six platforms is a durable asset, particularly as AI systems increasingly surface caution signals and risk language from third-party sources.

Meaningful consideration-stage presence. In the "Best Robo-Advisor & Top Automated Investing Platforms" cluster, Fidelity Go achieves 21.1% recommendation coverage and an 8.1% rank-one rate. The service is being surfaced in initial discovery prompts at a rate that positions it as a recognizable category option for buyers entering the evaluation process.

Strong Gemini sentiment signal. On Gemini, Fidelity Go carries a 0.90 sentiment score with 66 positive mentions out of 73 total mentions. This is the platform-level sentiment peak for the service and suggests that Gemini's evidence layer is well-aligned with Fidelity Go's positive framing. This is a foundation the service can build on.

Where Fidelity Go Has the Clearest AI Visibility Gaps

Recommendation coverage is roughly half the category leaders. Fidelity Go's valid recommendation coverage of 17.8% is substantially below Betterment at 34.0% and Wealthfront at 29.8%. The service converts 62% of its raw appearances into recommendation credit, which is close to the conversion rates of the top two platforms. The gap is in raw retrieval volume, not conversion efficiency. AI systems are not finding Fidelity Go as the starting point for responses at the same rate they find Betterment and Wealthfront.

Decision-stage pricing cluster is the weakest commercial position. In the "Pricing, Fees & Cost Evaluation" cluster, Fidelity Go's recommendation coverage falls to 16.2% and its rank-one rate drops to 5.3%. Betterment's recommendation coverage in the same cluster is 33.8% and Wealthfront's is 28.3%. Buyers who are comparing fees and preparing to open accounts are seeing Fidelity Go recommended at less than half the rate of the top two platforms. This cluster carries the highest commercial intent in the category.

Perplexity is a near-blind spot. On Perplexity, Fidelity Go achieves only 8.7% recommendation coverage with zero rank-one placements. The sentiment score on Perplexity is 0.41, the lowest platform-level score for Fidelity Go, with 19 positive and 27 neutral mentions out of 46 total. Perplexity appears to be retrieving a different evidence layer than Google AI Overviews, one that is less favorable to Fidelity Go's positioning.

ChatGPT recommendation conversion is below category average. On ChatGPT, Fidelity Go has 47 mentions but achieves only 11.6% recommendation coverage. The service is present in ChatGPT responses but is not being recommended at a commercially meaningful rate. Given ChatGPT's role as a primary AI discovery surface for financial services queries, this gap represents a significant reach problem.

Rank-one rate on most platforms is below competitive threshold. Outside of Google AI Overviews at 23.5% and Copilot at 12.3%, Fidelity Go's rank-one rates are not competitive with the category leaders. The Copilot rank-one rate of 12.3% is based on 32 valid recommendations, a sample size too small to treat as a reliable signal. The overall rank-one rate of 7.2% is below what the service's sentiment profile would predict.

Raw mention pool is substantially smaller than Betterment and Wealthfront. Fidelity Go's 381 total mentions compare to Betterment's estimated mention volume at nearly double. The service is not being retrieved as a starting point for AI-generated responses at a rate consistent with its brand size and trust profile. This is a source footprint and citation architecture problem, not a sentiment problem.

Biggest Opportunity

Convert Fidelity Go's positive sentiment advantage into higher recommendation coverage in the decision-stage pricing and fee comparison cluster. Fidelity Go has zero negative mentions and the highest net sentiment in the category, yet its recommendation coverage in the pricing cluster is 16.2% compared to Betterment's 33.8% and Wealthfront's 28.3%. The benchmark suggests that the public evidence layer for pricing and fee comparisons is not surfacing Fidelity Go's strongest proof points at the same rate it surfaces competitors. Fidelity Go charges no advisory fee for accounts under $25,000 and a 0.35% annual advisory fee above that threshold, which is a competitive fee structure. The opportunity is to strengthen the structured, citation-ready public evidence around fee transparency, cost comparisons, and value positioning so that AI systems retrieve Fidelity Go with the same confidence they retrieve Betterment and Wealthfront when buyers are making final decisions.

Prompt Evidence

Google AI Overviews / Best Robo-Advisor & Top Platforms Prompt: "What is the best robo-advisor for automated investing?" Result: Fidelity Go appeared in the top-three recommendations with a 23.5% rank-one rate on this platform, its strongest platform performance in the dataset.

ChatGPT / Comparisons & Alternatives Prompt: "Compare Betterment vs Wealthfront vs Fidelity Go" Result: Fidelity Go was mentioned but ranked third behind Betterment and Wealthfront, consistent with its 11.6% recommendation coverage on ChatGPT and a pattern of presence without leading recommendation placement.

Perplexity / Pricing & Fees Prompt: "Which robo-advisor has the lowest fees?" Result: Fidelity Go was not recommended in a top position and earned zero rank-one placements across all Perplexity observations, the weakest platform performance in the dataset.

Gemini / Best Robo-Advisor & Top Platforms Prompt: "What are the top automated investing platforms for beginners?" Result: Fidelity Go achieved a 19.6% recommendation coverage rate on Gemini with a 4.5% rank-one rate, and its highest platform-level sentiment score of 0.90, but ranked consistently behind Betterment and Wealthfront in recommendation position.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Fidelity Go's full recommendation footprint across all 10 prompt clusters and 6 AI platforms to identify the specific prompts and source types where recommendation conversion fails despite consistently positive sentiment.

Phase 2: Recommendation Readiness Plan Analyze the gap between Fidelity Go's 28.8% raw mention rate and 17.8% recommendation rate, with particular focus on the pricing cluster and Perplexity, to identify which evidence signals and source types are missing or underweighted.

Phase 3: Owned Answer Layer Buildout Develop structured, citation-ready content for pricing, fee comparison, and value proposition queries that AI systems can retrieve and synthesize into recommendation-stage responses.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer on platforms where Fidelity Go underperforms, particularly Perplexity and ChatGPT, through third-party citation coverage, comparison-ready source development, and authority signal reinforcement.

Phase 5: Monthly AI Visibility and Recommendation Tracking Establish ongoing monitoring of Fidelity Go's recommendation coverage, rank position, and sentiment across all six platforms and all 10 clusters to measure improvement, detect competitive displacement, and track source layer changes.

Why This Matters

Fidelity Go carries the strongest trust signal in the robo-advisor category. Zero negative mentions and the highest net sentiment score across six AI platforms are rare assets in financial services, where cautionary language and risk framing are common. But the benchmark shows that AI systems are recommending Betterment and Wealthfront at nearly twice the rate they recommend Fidelity Go, and buyers who rely on AI-generated shortlists to make investment decisions are following those recommendations. Being well-regarded is not the same as being recommended, and in AI-led discovery, the recommendation is the commercial event.

The gap between Fidelity Go's sentiment position and its recommendation coverage is a source footprint problem. AI systems are not consistently retrieving Fidelity Go's strongest proof points when buyers are comparing fees, evaluating platforms, or asking which service to open an account with. The next move is not about improving sentiment, which is already at the category ceiling. It is about ensuring that the public evidence layer, citation architecture, and structured content Fidelity Go controls are strong enough to convert positive framing into recommendation credit at every stage of the buyer's AI-assisted decision process.

Core Metrics

• Mentions: 381
• Valid recommendations: 235
• Top 3 recommendation count: 202
• Rank #1 recommendation count: 95
• Average recommended rank: 2.20
• Positive mentions: 284
• Neutral mentions: 97
• Negative mentions: 0
• Raw mention presence rate: 28.8%
• Valid recommendation coverage: 17.8%
• Top 3 recommendation rate: 15.3%
• Rank #1 recommendation rate: 7.2%
• Strongest cluster by recommendation behavior: Best Robo-Advisor & Top Platforms (21.1% recommendation coverage)
• Strongest platform by recommendation behavior: Google AI Overviews (33.2% recommendation coverage)

Sentiment Score

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

Fidelity Go: (284 x 1 + 97 x 0 + 0 x -1) / 381 = 284 / 381 = 0.75

This is the highest net sentiment score in the robo-advisor category. A score of 0.75 means that 75% of all classified mentions are positive and zero are negative, which is the maximum achievable outcome given the distribution of positive and neutral mentions in this dataset.

This matters because unclassified mention counts are misleading. A platform that appears in 500 responses is not necessarily more valuable to a buyer's decision journey than a platform that appears in 200 responses with consistently positive framing. Share of voice is a diagnostic metric, not a business outcome. A positive recommendation, a neutral reference, a cautionary mention, and a mention that appears only to anchor a competitor comparison are not equal signals, and treating all of them as wins produces bad strategy.

For Fidelity Go, the sentiment data tells a specific story: the service is not dragging itself down with negative framing. The risk is not reputation. The risk is that positive framing is not yet producing recommendation credit at the rate the brand's trust position would predict. Classified sentiment is required before interpreting AI visibility, and the interpretation here is clear. Fidelity Go is well-regarded when seen. The next question is whether it is being seen at the right moment, in the right clusters, and on the right platforms.

Sentiment by Platform

Methodology

1. Report orientation. This is an AI Company Market Strategy Report. It is a benchmark-based analysis of Fidelity Go's AI recommendation performance in the robo-advisor category. It is not a client implementation case study and does not imply that CiteWorks Studio caused the outcomes described.
2. Reporting window. Data reflects a point-in-time snapshot taken June 18, 2026, covering the June 2026 reporting month.
3. Platforms tracked. Six AI platforms were included in this analysis: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity.
4. Observations analyzed. A total of 1,321 AI observations were analyzed across all platforms and clusters.
5. Prompt count. A specific unique prompt count is not available in this version of the report. The full LLM Authority Index report includes all prompt-level detail across all 10 clusters.
6. Competitor universe. Ten robo-advisor platforms were tracked: Betterment, Wealthfront, Fidelity Go, Schwab Intelligent Portfolios, Acorns, Vanguard Digital Advisor, M1 Finance, Ellevest, SoFi Automated Investing, and Wealthsimple. The universe covers major U.S. robo-advisor platforms and may not include all regional or niche providers.
7. Public clusters used. Three of ten public high-intent clusters are included in this report: Best Robo-Advisor & Top Automated Investing Platforms (consideration stage), Robo-Advisor Comparisons & Platform Alternatives (evaluation stage), and Robo-Advisor Pricing, Fees & Cost Evaluation (decision stage). The full report covers all 10 clusters.
8. Definition of a mention. A mention means the company appeared in an AI-generated response in any position and with any framing, regardless of sentiment or recommendation status.
9. Definition of a valid recommendation. A valid recommendation is a positive, shortlist-quality appearance that earns recommendation credit. Neutral references, cautionary mentions, comparison anchors, and out-of-context appearances are not counted as valid recommendations.
10. Sentiment classification. Mentions are classified as positive, neutral, or negative. Net sentiment score is calculated as (positive x 1 + neutral x 0 + negative x -1) divided by total mentions. Unclassified mentions are not included in sentiment scoring.
11. Ranking interpretation. Top-three rate reflects how often the company appears in a top-three recommendation position. Rank-one rate reflects how often the company is the first recommendation. Average recommended rank reflects the mean position when the company receives valid rank credit. These are distinct metrics and are not interchangeable.
12. Limitations. This is a point-in-time benchmark. AI outputs change with model updates, source changes, and query variations. Modeled values referenced in the full report are estimates based on commercial intent proxies and are not revenue, pipeline, or booked demand. This public report covers 3 of 10 clusters. The full LLM Authority Index report provides complete cluster, platform, and prompt-level analysis.

See How AI Is Recommending Your Brand

Fidelity Go holds the cleanest sentiment profile in the robo-advisor category and a meaningful presence across six AI platforms, yet the benchmark shows that Betterment and Wealthfront are being recommended at nearly twice the rate in the moments that matter most to buyers. CiteWorks Studio can show exactly where Fidelity Go appears in AI-generated shortlists, which prompts and clusters carry the highest commercial risk, which sources are shaping AI answers in your favor and against you, and what changes to the owned evidence layer and citation architecture would improve recommendation coverage at the decision stage. If you want to understand where your brand stands in AI-generated recommendations across the full robo-advisor category, an AI Visibility Audit is the starting point.