How AI Search Is Recommending IRAs: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Fidelity held the top recommendation coverage at 87.5%, with Charles Schwab close behind at 86.5%.
  • E\*TRADE posted the largest cumulative gain, rising 17.7 points from its July baseline.
  • Vanguard recorded the largest cumulative decline, falling 6.5 points from July to October.
  • All qualified October observations fell into the brand recommendation cluster, with no qualified pricing or comparison cases.

Executive Summary

Fidelity remains the category leader in October 2026 with valid recommendation coverage of 87.5%, holding the top position for the full July through October 2026 series. Charles Schwab sits second at 86.5%, leaving the gap between the top two brands at 1.0 point, the tightest leadership pairing in the series and narrower than the 2.7-point separation recorded at the July 2026 baseline. This is a quiet leadership picture: no brand moved significantly this month, and the leader held its footing as it has through the entire run.

E*TRADE is the category's strongest cumulative upward mover among brands present across the series, with valid recommendation coverage up 17.7 points from its 28.4% July 2026 baseline to 46.1% in October 2026, a significant rise. Robinhood also rose significantly against baseline, up 5.1 points to 76.8%. Betterment LLC and Wealthfront Corporation continue their upward streaks under current entity-name tracking, at 23.0% and 10.9% respectively, both significant against the July 2026 series start.

The sharpest cumulative decliner against baseline is Vanguard, down 6.5 points from 69.4% in July 2026 to 62.9% in October 2026, a significant drop that leaves it fourth behind Robinhood. M1 Finance also declined significantly from baseline, down 6.4 points to 8.2%. Month over month, the category was stable: no brand moved significantly from September 2026 to October 2026, and the month summary is classified as mixed.

Each monthly run begins with 800 prompt-surface observations (532 unique questions in July 2026 and 619 in October 2026). All 800 mentioned a tracked brand or competitor in each month. In July 2026, 748 were relevant and 52 irrelevant; in October 2026, 592 were relevant and 208 irrelevant. The public metrics use 690 qualified observations in July 2026 and 534 in October 2026 that survive both qualification stages.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%25%50%75%100%Jul 2026Aug 2026Sep 2026Oct 2026
  • Fidelity87.5%
  • Charles Schwab86.5%
  • Robinhood76.8%
  • Vanguard62.9%
  • E*TRADE46.1%
  • SoFi43.8%
  • Betterment LLC23.0%
  • Merrill Edge13.9%
  • Wealthfront Corporation10.9%
  • M1 Finance8.2%
  • Betterment0.0%
  • Wealthfront0.0%

Key Findings

Signal

October 2026 finding

Coverage leader

Fidelity at 87.5%, flat to its July 2026 baseline

Largest cumulative riser

E*TRADE, up 17.7 points from July 2026 to 46.1%

Largest cumulative decliner

Vanguard, down 6.5 points from July 2026 to 62.9%

Significant movers

Four risers: Betterment LLC, E*TRADE, Robinhood, Wealthfront Corporation. Four decliners: Betterment, M1 Finance, Vanguard, Wealthfront

Recommendation-shaped answers

58.1% of qualified observations

Valid recommendation shortlists

88.8% of qualified observations

AI Response Inconsistency Alerts

Questions This Section Answers

  • Which IRA provider claims did AI platforms contradict each other on?
  • What specific Robinhood and Fidelity facts conflicted across platforms?

The benchmark's conflict review detected 3 critical and high-severity factual inconsistencies across 4 AI platforms. Each conflict reflects a case where two platforms gave materially different answers to the same question.

Robinhood

A high-severity pricing conflict concerned Robinhood's IRA contribution match rate. When asked "Where is it best to open a Roth IRA?", Google AI Mode stated that Robinhood offers a 1% matching contribution, or 5% with Gold, on deposits, citing Fidelity's Roth IRA page, CNBC Select, and a YouTube walkthrough. Copilot gave a different figure for the same program, stating an up-to-3% IRA match for Gold members, citing NerdWallet, a third-party guide, and CNBC Select. The two platforms cannot both be correct about the Gold-tier match rate. Flagged sources on both sides included a page describing a 1% contribution match and Motley Fool coverage noting an up-to-3% match for Gold members with 1% for standard accounts.

A second high-severity pricing conflict concerned Robinhood's options contract fee. When asked "What brokerage has the lowest commission?", Gemini stated that most platforms charge around $0.50 to $0.65 per contract for options trading, implying a per-contract fee, citing Fidelity's commissions page, Investing.com, and Interactive Brokers. Copilot stated that Robinhood offers $0 per-contract options fees, citing Westmount Research, Stock Broker Review, and CalcMoney. A brokerage cannot both charge a per-contract fee and offer zero per-contract fees. Flagged sources supporting the zero-fee claim included pages stating that Robinhood, Webull, and several peers charge $0 per options contract.

Fidelity

A high-severity factual conflict concerned Fidelity's assets under management. When asked "What are the top stock brokerage firms?", Google AI Overviews stated that Fidelity manages over $7 trillion in assets, citing Investopedia, the New York Institute of Finance, and Motley Fool. Copilot stated that Fidelity has $18.0 trillion in total client assets and $7.1 trillion AUM, citing Motley Fool, The College Investor, and BrokerChooser. The two figures are incompatible for the same company's asset size. Motley Fool research was flagged on both sides, and Investopedia was flagged for the $7.1 trillion figure.

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

800

800

Raw prompt collections before filtering

Unique questions

532

619

Distinct questions after de-duplication

Brand / competitor mentions

800

800

Prompts referencing at least one tracked name

Relevant prompts

748

592

On-topic for IRA provider discovery

Irrelevant prompts

52

208

Off-topic or non-actionable

Qualified benchmark observations

690

534

Public denominator after qualification

Qualified surface breadth

6

6

AI surface families with qualified observations

Benchmark-Level Metrics

The following category-level metrics summarize measurement conditions across both months.

Metric

Jul 2026

Oct 2026

Change

Qualified observations

690

534

-156

Companies tracked

10

10

No change

Recommendation-shaped answer share

46.5%

58.1%

Up 11.6 points

Valid recommendation shortlist share

85.1%

88.8%

Up 3.7 points

Category leader by coverage

Fidelity, 87.5%

Fidelity, 87.5%

Stable leadership

Qualified observations trended down across the series, from 690 in July 2026 to 638 in August 2026, 520 in September 2026, and 534 in October 2026. The recommendation-shaped answer share, by contrast, moved up sharply this month, reaching its series high at 58.1%.

AI Recommendation Trend

Questions This Section Answers

  • Which IRA providers rank first through third in AI recommendation coverage?
  • Which brands posted significant cumulative rises or declines since July 2026?
  • How tight is the gap between the top two providers?

The Top of the Category Is Tight and the Leader Is Unchanged

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

Betterment LLC

0.0%

23.0%

Up 23.0 points

6th

Charles Schwab

84.8%

86.5%

Up 1.7 points

2nd

E*TRADE

28.4%

46.1%

Up 17.7 points

5th

Fidelity

87.5%

87.5%

Flat

1st

M1 Finance

14.6%

8.2%

Down 6.4 points

10th

Merrill Edge

12.0%

13.9%

Up 1.9 points

9th

Robinhood

71.7%

76.8%

Up 5.1 points

3rd

SoFi

38.3%

43.8%

Up 5.5 points

7th

Vanguard

69.4%

62.9%

Down 6.5 points

4th

Wealthfront Corporation

0.0%

10.9%

Up 10.9 points

8th

The baseline-to-current movements split into four significant risers and four significant decliners, but none of those moves broke out this month: the September 2026 to October 2026 changes all fell within normal month-to-month variation. The category-level change came from the combination of several smaller movements rather than one standalone swing, and the leader position was unchanged.

What Changed This Month

Questions This Section Answers

  • Why is Fidelity's lead narrowing even though its coverage is unchanged?
  • What drove E*TRADE's cumulative rise in IRA recommendations?
  • What moved Robinhood ahead of Vanguard?

Fidelity Holds the Lead as the Gap Narrows

Fidelity's valid recommendation coverage was 87.5% in October 2026, unchanged from its 87.5% July 2026 baseline and up 1.1 points from September 2026. Charles Schwab, in second, closed to within 1.0 point at 86.5%. This is the narrowest top-two separation across the four-month series.

The lead is held on placement strength, not movement. Fidelity's top-three recommendation rate rose 19.4 points from 63.9% in July 2026 to 83.3% in October 2026, and its rank-one rate rose 6.4 points to 56.5%, both significant against baseline and the highest rank-one figure in the category. Raw mention presence stayed effectively flat at 99.6%.

The distinction to notice: Fidelity's coverage is stable, but its dominance is expressed through how often it is named first when it appears. A 0.0-point baseline movement can still sit alongside the strongest placement profile in the set.

Highest-priority diagnostic: Which qualified observations still exclude Fidelity, and which prompt categories produce those gaps.

E*TRADE's Cumulative Rise Is a Breadth Story

E*TRADE's valid recommendation coverage reached 46.1% in October 2026, up 17.7 points from 28.4% in July 2026, a significant rise. From September 2026 the change was down 0.3 points, within normal variation.

The gain is driven by presence. Raw mention presence rose 20.0 points from 38.8% in July 2026 to 58.8% in October 2026. Top-three rate rose 3.8 points to 6.6%, significant against baseline, while rank-one rate moved up 0.4 points to 0.4%, within normal variation.

E*TRADE is being surfaced across far more queries than at baseline, but it is not converting that breadth into top placement at scale. Its 246 valid recommendation observations place it mid-pack on coverage without top-of-list strength.

Highest-priority diagnostic: Which prompt types or AI surfaces account for the cumulative presence gain, and which brands' recommendation slots those mentions displaced.

Vanguard Slips and Robinhood Advances into Third

Vanguard's valid recommendation coverage was 62.9% in October 2026, down 6.5 points from 69.4% in July 2026, a significant decline. Robinhood rose 5.1 points over the same span to 76.8%, a significant increase, and now sits 13.9 points ahead of Vanguard in third place.

The two brands diverge on presence. Vanguard's raw mention presence fell 5.7 points from 81.5% in July 2026 to 75.8% in October 2026, a significant decline, even as its top-three rate rose 8.3 points to 37.6%. Robinhood's presence rose 8.1 points to 92.5% and its top-three rate rose 9.4 points to 24.5%, both significant.

The distinction to notice: Vanguard still earns top-three placement frequently when it appears, but it is appearing in fewer valid recommendation lists. Robinhood widened both dimensions at once, which is what moved it clear of Vanguard.

Highest-priority diagnostic: Which question categories stopped producing Vanguard recommendations, and whether Robinhood captured those slots.

SoFi Extends a Three-Month Upward Streak

SoFi's valid recommendation coverage reached 43.8% in October 2026, up 5.5 points from 38.3% in July 2026, a movement classified as a watch item rather than significant. The brand now holds three consecutive monthly increases, though the cumulative move remains within normal variation.

Top-three rate rose 3.9 points from 3.8% in July 2026 to 7.7% in October 2026, significant against baseline. Rank-one rate fell 0.7 points to 0.6%. Raw mention presence rose 5.4 points to 49.6%.

SoFi is gaining coverage steadily and modestly across three months without a single breakout month, and its top-three placement has improved even as rank-one placement has not.

Highest-priority diagnostic: Which IRA prompt categories sustain the three-month streak, and whether it continues into November 2026.

M1 Finance and the Entity-Tracked Names Anchor the Low End

M1 Finance's valid recommendation coverage was 8.2% in October 2026, down 6.4 points from 14.6% in July 2026, a significant decline, and down 2.8 points from September 2026. Its raw mention presence fell 6.1 points to 10.7%, significant against baseline. These figures rest on 44 valid recommendation observations, so the movement carries more uncertainty than higher-coverage brands.

Betterment LLC reached 23.0% in October 2026, up 23.0 points from zero under the July 2026 baseline and on a two-month upward streak. Wealthfront Corporation reached 10.9%, up 10.9 points from baseline, also on a two-month upward streak. Their valid recommendation counts, 123 and 58 respectively, place them well below the leaders.

The distinction to notice: the current entity-name entries continue to build coverage, while the prior brand-name entries for Betterment and Wealthfront show no current coverage after 62.7% and 53.3% at the July 2026 baseline. The notables tracked this month include a widening gap between Betterment and Betterment LLC that grew in every month of the series, a category observation about how the benchmark tracks brand and corporate names rather than a demand signal.

Highest-priority diagnostic: Whether the entity-name distinction reflects how AI systems actually refer to these providers, or whether the prior brand-name tracking captured consumer queries more accurately.

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent clusters do qualified IRA observations actually cover?
  • Why can't the benchmark address pricing or head-to-head comparisons this month?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Which provider AI suggests for IRA accounts

Which brand is the default answer?

Pricing & Value

Cost and fee-related evaluations

Who wins when price is discussed?

Multi-Brand Comparison

Head-to-head provider comparisons

Who wins when options are weighed?

In October 2026, all 534 qualified observations fell into the Brand Recommendation cluster. The public benchmark cannot yet speak to how AI systems handle pricing and value questions or head-to-head provider comparisons, because no qualified observations this month fell into those categories. The recommendation dynamic being measured is about default guidance, not cost-driven or comparative decision-making. The inconsistency alerts above show that pricing and cost questions do surface inconsistencies in AI responses, but those observations sit outside the qualified benchmark denominator this month.

Brand Opportunity Summary

Questions This Section Answers

  • Which IRA brands show an upward streak or stable position worth investigating?
  • Which brands' declines warrant a closer look at lost recommendation slots?

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

Betterment LLC

23.0%

Two-month upward streak under entity name

Which queries use the full legal entity name?

Charles Schwab

86.5%

Stable second, tight gap to leader

Where does Schwab lose to Fidelity?

E*TRADE

46.1%

Significant cumulative coverage rise

Which surfaces drove the presence gain?

Fidelity

87.5%

Stable leader with strongest placement

Which observations still exclude Fidelity?

M1 Finance

8.2%

Significant cumulative decline on low counts

Which IRA prompts could surface M1?

Merrill Edge

13.9%

Stable on low coverage

Which competitors capture Merrill's mentions?

Robinhood

76.8%

Significant rise into third place

Can the third-place position hold?

SoFi

43.8%

Three-month upward streak

Which prompt categories drive the gains?

Vanguard

62.9%

Significant cumulative decline

Where did Vanguard's recommendations go?

Wealthfront Corporation

10.9%

Two-month upward streak under entity name

Which queries use the full corporate name?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Visibility Market Discovery research program. Learn more about the methodology, metrics, and standards through these CiteWorks Studio research links:

Report-Specific Interpretation Notes

  • Small counts for lower-coverage brands such as M1 Finance, Merrill Edge, and Wealthfront Corporation mean their movements carry higher uncertainty than the leaders. M1 Finance's figures rest on 44 valid recommendation observations; Wealthfront Corporation's on 58.
  • The qualified denominator excludes irrelevant prompts and prompts reserved for other research purposes. It is smaller than the raw collection volume. This vertical's qualified count moved from 690 in July 2026 to 534 in October 2026, while the recommendation-shaped answer share rose to its series high.
  • Movement observed in a given month identifies areas worth investigating. It does not by itself establish the cause of those changes, and the entity-name tracking distinction for Betterment and Wealthfront is a measurement structure rather than a demand signal.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentages sit the questions that determine IRA provider visibility: which high-intent prompts are won, which competitor takes the recommendation when a brand loses, what attributes AI associates with each option, and which external sources shape those answers. The October 2026 picture, including the narrow top-two gap, E*TRADE's cumulative rise, Vanguard's cumulative decline, and the response inconsistencies the benchmark flagged, each point to specific prompt and surface patterns worth investigating.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy for your brand.

Request an AI visibility audit

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT