Fidelity AI Market Strategy Report - Online Stock Brokers

Answer Capsule

Fidelity is the strongest rank-one recommendation brand in the Online Stock Brokers category, holding a 46.93% rank-one rate and a 68.10% top-three rate in September 2026. The benchmark shows Fidelity present in 97.55% of qualified observations, with valid recommendation coverage of 81.13%, a close second to Charles Schwab at 81.6%. The clearest win is Fidelity's first-position recommendation power, which leads the category by a wide margin. The clearest weakness is a measurable erosion in placement quality since July 2026, with the rank-one rate down 8.6 points and the top-three rate down 9.4 points. The clearest opportunity is defending and rebuilding first-position recommendation share in the high-intent broker and platform selection prompts where AI systems are choosing Fidelity less often than they did two months ago.

Who This Report Is For

This report is for Fidelity's marketing, brand, and digital strategy teams, and for category analysts tracking how AI-generated recommendations are reshaping broker discovery and shortlist formation in the Online Stock Brokers market.

Report Card

Executive Summary

Fidelity enters September 2026 as the category's rank-one recommendation leader but no longer its coverage leader. The benchmark shows Fidelity with 81.13% valid recommendation coverage, 0.5 points behind Charles Schwab at 81.6%, after the two brands entered the three-month series tied at 85.7% in July 2026. Fidelity's decline of 4.6 points from baseline is classified as significant, and the brand declined in each of the two months since July 2026.

The more consequential movement is in placement quality. Fidelity's top-three rate fell 9.4 points from 77.5% in July 2026 to 68.10% in September 2026, and its rank-one rate fell 8.6 points from 55.5% to 46.93%. Both movements are classified as significant. Fidelity's qualifying recommendation count fell from 613 in July 2026 to 529 in September 2026. The brand remains the strongest in the category on first-position placement, but AI systems are choosing it first substantially less often than they did two months ago.

Presence is not the problem. Fidelity was present in 97.55% of qualified observations in September 2026, down only 1.1 points from 98.6% in July 2026. The gap is between presence and recommendation credit: Fidelity is almost universally mentioned, but the share of those mentions that convert into a top-three or first-position recommendation has narrowed.

Sentiment and framing remain strong. Fidelity recorded 567 positive mentions, 63 neutral mentions, and 6 negative mentions in September 2026, producing a net sentiment score of 0.8821, the second highest in the tracked set behind Interactive Brokers at 0.9269. The brand carries no meaningful negative framing problem.

Platform behavior is consistent and strong. Fidelity leads or co-leads on every tracked platform, with its strongest rank-one signals on AI Overviews at 60.7%, AI Mode at 59.8%, and Copilot at 44.9%. Its weakest rank-one platform is Perplexity at 18.4%, and its weakest top-three platform is Perplexity at 34.5%, both still category-leading or near-leading figures.

The clearest gap is competitive displacement at the top of the recommendation set. Charles Schwab holds the coverage lead and the highest top-three rate among the two leaders on AI Mode and AI Overviews, while Fidelity's first-position advantage narrowed materially over the three-month series. The benchmark identifies where the displacement is occurring; a company-level prompt and source analysis is needed to explain which prompts and which competitors are absorbing Fidelity's lost first-position recommendations.

What Fidelity Is Winning

Questions This Section Answers

• How far ahead of Charles Schwab and Interactive Brokers is Fidelity on rank-one recommendations?
• Which platforms show Fidelity's strongest rank-one and top-three rates?
• Does Fidelity have a sentiment or negative framing problem that could explain the placement decline?

Fidelity holds the strongest rank-one recommendation position in the Online Stock Brokers category. Its 46.93% rank-one rate in September 2026 is 29.4 points ahead of Charles Schwab at 17.48% and more than seven times the rate of Interactive Brokers at 6.29%. This is the clearest and most defensible win in the dataset.

Fidelity also holds the highest top-three rate in the category at 68.10%, ahead of Charles Schwab at 62.88% and Interactive Brokers at 46.17%. Its average recommended rank of 1.5996 is the best in the tracked set, meaning that when Fidelity receives rank-eligible recommendation credit, it is typically placed first or second.

Platform-level performance reinforces the position. Fidelity leads the category on rank-one rate across AI Overviews at 60.7%, AI Mode at 59.8%, Copilot at 44.9%, ChatGPT at 34.0%, and Gemini at 22.1%. It holds the highest top-three rate on AI Overviews at 79.2%, AI Mode at 79.4%, and Copilot at 73.1%. On Copilot, Fidelity's valid recommendation coverage reaches 87.2%, the highest single-platform coverage figure in the dataset.

Framing quality is strong and stable. Fidelity recorded only 6 negative mentions against 567 positive mentions in September 2026, and its net sentiment score of 0.8821 is the second highest in the category. The brand carries no cautionary or negative framing pattern that would explain the placement decline.

Where Fidelity Has the Clearest AI Visibility Gaps

Questions This Section Answers

• What is the gap between Fidelity's mention presence and its rate of receiving valid recommendation credit?
• Where is Charles Schwab absorbing coverage and placement share that Fidelity is losing?
• Which platform shows Fidelity's weakest first-position and top-three performance?

Fidelity's clearest gap is not presence but recommendation conversion at the top of the set. The benchmark shows Fidelity present in 97.55% of qualified observations but receiving valid recommendation credit in 81.13%, a 16.4-point gap between mention and recommendation. That gap widened over the three-month series as placement quality declined faster than presence.

The displacement is concentrated in first-position recommendations. Fidelity's rank-one rate fell 8.6 points from 55.5% in July 2026 to 46.93% in September 2026, while its top-three rate fell 9.4 points from 77.5% to 68.10%. Charles Schwab, by contrast, held its rank-one rate nearly flat at 17.48% in September 2026 versus 17.8% in July 2026, and its top-three rate declined only 1.9 points. The benchmark shows Charles Schwab absorbing coverage share while Fidelity lost placement share.

The gap is visible in the coverage comparison as well. Fidelity and Charles Schwab entered the series tied at 85.7% valid recommendation coverage in July 2026. By September 2026, Charles Schwab held 81.6% and Fidelity held 81.13%. The 0.5-point gap is narrow, but the direction of movement favors Charles Schwab on coverage while Fidelity retains the placement advantage.

Perplexity is Fidelity's weakest platform on both top-three and rank-one placement. Fidelity's top-three rate on Perplexity is 34.5% and its rank-one rate is 18.4%, both well below its performance on AI Overviews, AI Mode, and Copilot. Perplexity also produced the smallest opportunity pool of the tracked platforms, so the absolute gap is smaller than the percentage suggests, but the relative underperformance is consistent.

The public benchmark does not yet track Pricing & Value or Multi-Brand Comparison as separate buyer-intent clusters. All 652 qualified observations in September 2026 fell into the Brand Recommendation class. The 15 pricing analysis responses and 104 comparison analysis responses observed in September 2026 indicate that these themes are present in the data but not yet measured as distinct clusters. Fidelity's performance in those themes cannot be assessed from the current public series.

Biggest Opportunity

Questions This Section Answers

• Which high-intent prompts should Fidelity prioritize to rebuild first-position recommendations?
• Why is Fidelity's opportunity about recommendation strength rather than being mentioned more often?

Fidelity's single clearest opportunity is to rebuild first-position recommendation share in the high-intent broker and platform selection prompts where AI systems are choosing it first less often than they did in July 2026. The benchmark shows the loss is concentrated in rank-one and top-three placement rather than in raw presence, which means the correction is about recommendation strength and framing quality at the decision moment, not about being mentioned more often.

The prompt evidence in the dataset points to specific high-intent themes where this matters most: platform selection prompts such as "What is the best platform to trade options on?" and "Which brokerage is best for options?", beginner and day-trading prompts such as "What is the best platform for beginner day traders?", and general broker selection prompts such as "What are the top 5 brokerages in the US?". These are the prompts where first-position placement carries the most commercial weight, and they are the prompts where Fidelity's placement advantage narrowed most over the series.

Competitive Landscape

Questions This Section Answers

• How do Fidelity, Charles Schwab, and Interactive Brokers compare on top-three rate, rank-one rate, average recommended rank, and sentiment?
• How does the field break into tiers below the top two leaders?

Fidelity and Charles Schwab hold the two strongest recommendation positions in the Online Stock Brokers category, with Fidelity leading on rank-one placement and Charles Schwab leading on valid recommendation coverage. Interactive Brokers is the strongest challenger below the top tier, and Robinhood holds meaningful presence but weaker top-three conversion.

Average recommended rank covers rank-eligible recommendations only.

Fidelity sits at the top of the table on both top-three rate and rank-one rate, with the best average recommended rank in the category. The table shows a clear two-tier structure: Fidelity and Charles Schwab hold top-three rates above 60%, Interactive Brokers holds a strong challenger position at 46.17%, and the remaining seven brands sit below 25%. Fidelity's rank-one rate is more than double Charles Schwab's, which is the single largest placement gap between any two adjacent brands in the table.

Prompt Evidence

Questions This Section Answers

• Which prompt-platform combinations produced Fidelity's strongest rank-one recommendations?
• Which prompt and platform produced Fidelity's weakest recommendation performance?

AI Overviews / Best IRA Accounts & Top Providers Prompt: "What is the best platform to trade options on?" Result: Fidelity was recommended in the top three in 79.2% of AI Overviews observations and held the first position in 60.7%, the strongest platform-level rank-one signal in the dataset.

AI Mode / Best IRA Accounts & Top Providers Prompt: "Which brokerage is best for options?" Result: Fidelity led AI Mode on both top-three rate at 79.4% and rank-one rate at 59.8%, but its rank-one rate on this platform declined from the July 2026 baseline as part of the category-wide placement erosion.

Perplexity / Best IRA Accounts & Top Providers Prompt: "What is the best platform for beginner day traders?" Result: Fidelity's weakest platform performance, with a 34.5% top-three rate and an 18.4% rank-one rate, both well below its AI Overviews and AI Mode figures.

Copilot / Best IRA Accounts & Top Providers Prompt: "What is the best platform to use for trading?" Result: Fidelity reached 87.2% valid recommendation coverage on Copilot, its highest single-platform coverage figure, with a 73.1% top-three rate and a 44.9% rank-one rate.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Fidelity's prompt-level recommendation outcomes across all six tracked platforms to identify exactly which prompts lost first-position placement between July and September 2026 and which competitors absorbed that placement.

Phase 2: Recommendation Readiness Plan Prioritize the high-intent broker and platform selection prompts where Fidelity's rank-one rate declined most, and define the framing, comparison, and evidence requirements needed to restore first-position recommendation strength.

Phase 3: Owned Answer Layer Buildout Strengthen Fidelity's owned pages on platform selection, options trading, and beginner and day-trading topics so that AI systems retrieve clear, current, and comparison-ready answers from Fidelity-controlled sources.

Phase 4: Citation / Authority Layer Development Develop the third-party review, comparison, and editorial sources that AI systems cite alongside broker recommendations, with emphasis on the source types that appear most often in Fidelity's strongest platforms.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Fidelity's rank-one rate, top-three rate, and valid recommendation coverage month over month against Charles Schwab and Interactive Brokers, with prompt-level attribution for any placement movement.

Why This Matters

AI-generated recommendations are now a primary shortlist formation layer in the Online Stock Brokers category. The benchmark shows that 84.0% of qualified observations in September 2026 produced a valid recommendation shortlist, meaning that in the large majority of high-intent broker queries, AI systems are naming specific brands as recommended options. Buyers who begin their broker research in an AI assistant are seeing a shortlist before they ever visit a comparison site.

Fidelity's position in that shortlist is strong but narrowing at the top. The brand remains the category's first-position leader, but its rank-one rate fell 8.6 points in two months while its presence held nearly flat. That pattern shows that being mentioned is not the same as being chosen first, and that recommendation strength at the decision moment can erode even when visibility does not. The next move is targeted correction of the prompt, page, and citation layers that shape first-position recommendations, not broader visibility work.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why is classified sentiment necessary before interpreting Fidelity's AI visibility or share of voice?
• What does Fidelity's September 2026 sentiment score suggest about its framing quality?

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

Fidelity's September 2026 sentiment score is 0.8821, calculated from 567 positive mentions, 63 neutral mentions, and 6 negative mentions across 636 total mentions.

This score matters because unclassified mention counts are misleading. A brand can appear in a large share of AI answers without any of those appearances carrying recommendation weight, and a brand can carry a high mention count while a meaningful portion of those mentions are neutral references, cautionary framing, or comparison anchors rather than endorsements. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates framing quality from raw presence and shows whether the brand is being described in terms that support or undermine recommendation strength.

Sentiment by Platform

Questions This Section Answers

• On which platforms does Fidelity's sentiment read as a strong public recommendation signal versus mere context?
• Which platform's sentiment readout is uncertain due to sample size?

Methodology

1. This report is a benchmark-based analysis of Fidelity's AI recommendation position in the Online Stock Brokers category, produced from the LLM Authority Index AI Market Discovery Index and the associated September 2026 metrics aggregation.
2. The reporting window is September 2026, with month-over-month and three-month comparisons against July 2026 and August 2026 where the benchmark provides them.
3. Six AI and search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six produced qualified observations in September 2026.
4. The September 2026 benchmark produced 652 qualified observations from 800 raw prompt-surface observations, 593 unique questions, and 713 relevant prompts. The August 2026 measurement produced 675 qualified observations and the July 2026 measurement produced 715.
5. Ten brands were tracked: Charles Schwab, E*TRADE, Fidelity, Interactive Brokers, Merrill Edge, Public, Robinhood, Tastytrade, Vanguard, and Webull.
6. All 652 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The Pricing & Value and Multi-Brand Comparison classes are present in the underlying data but are not yet tracked as separate measurable clusters in the public series.
7. A mention is counted when a tracked brand appears in a qualified AI or search response, whether or not it is recommended. A valid recommendation is counted when a brand receives one or more valid, non-placeholder recommendations in a qualified observation. Top-three rate and rank-one rate are calculated within the qualified benchmark set.
8. Average recommended rank covers rank-eligible recommendations only, meaning positive valid recommendations with a rank between 1 and 10. Brands with no rank-eligible recommendations are shown with an em dash in the competitive landscape table.
9. Net sentiment is calculated as positive mentions minus negative mentions, divided by total mentions, on a scale from -1 to 1. It measures framing quality, not customer sentiment.
10. Source presence in the benchmark is evidence about the information environment. It is not automatically proof that a source caused a recommendation. The benchmark records which sources appeared alongside answers, not whether those sources drove the model's output.
11. The public benchmark does not measure market share, sales, revenue outcomes, attributable conversions, organic-search ranking positions, social media mention volume, private or gated AI channels, or causality from a metric movement alone.
12. Small-count movement should be interpreted with care. Brands with fewer qualified appearances can show percentage movement from a small number of underlying changes. Counts are named beside percentages where relevant.

See How AI Is Recommending Your Brand

The public benchmark shows where Fidelity stands in AI-generated broker recommendations. A company-level AI visibility audit maps the prompt, platform, competitor, ranking, sentiment, and source patterns behind those numbers, and identifies the specific prompts where first-position recommendation strength can be rebuilt.