Empower AI Visibility Market Strategy Report - Online Financial Advisors

Answer Capsule

Empower holds 21.69% valid recommendation coverage in the October 2026 Online Financial Advisors benchmark, ranking sixth of ten tracked brands. The brand is visible but under-recommended: it appears in 27.69% of qualified observations yet converts only 21.69% of them into valid recommendations, and its rank-one rate sits at 0.83%. The clearest win is a three-month upward streak that lifted coverage from 8.1% in July 2026 to 21.69% in October 2026. The clearest gap is placement quality, where Empower trails Fidelity, Charles Schwab, and Vanguard by wide margins on top-three and rank-one rates. The biggest opportunity is converting its existing presence into top-three shortlist positions inside the Brand Recommendation cluster.

Who This Report Is For

This report is written for Empower's marketing, growth, and brand strategy leaders, and for category analysts tracking how online financial advisors are surfaced and recommended inside AI-generated answers.

Report Card

Executive Summary

Empower is visible but under-recommended in the October 2026 Online Financial Advisors benchmark. The brand recorded 134 mentions across 484 qualified observations, a raw mention presence rate of 27.69%, but only 105 of those mentions converted into valid recommendations, a coverage rate of 21.69%. That gap between presence and recommendation is the central finding for the brand this month.

Sentiment framing is positive. Empower recorded 109 positive mentions, 25 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.8134. No negative framing was observed in the qualified set. The weakness is not how Empower is described when it appears; it is how often it is chosen and how prominently it is placed.

The strongest cluster is Brand Recommendation, the only buyer-intent class with qualified observations in October 2026. Empower's coverage, top-three rate, and rank-one rate all sit inside this single cluster, which means the brand's entire public AI recommendation footprint is concentrated in direct "who should I use" prompts.

The weakest cluster signal is the absence of qualified observations in Pricing & Value and Multi-Brand Comparison. Empower cannot yet be measured on how AI systems frame its fees, value, or head-to-head positioning, and the benchmark does not produce qualified data for those classes in this period.

The strongest platform signal is Google AI Overviews, where Empower recorded 32 valid recommendations, a 25.4% coverage rate, and a 7.9% top-three rate. The weakest platform signal among platforms with meaningful volume is Google AI Mode, where Empower recorded a 22.6% coverage rate but a 1.2% rank-one rate and a 14.3% neutral visibility rate, the highest neutral share of any platform in the set.

The clearest gap is placement. Empower's top-three rate of 6.61% and rank-one rate of 0.83% are far below its 21.69% coverage rate. The brand is being named, but it is rarely being placed at the top of the shortlist. Fidelity, Charles Schwab, and Vanguard each convert coverage into top-three placement at rates above 64%, which shows how much of the recommendation-stage opportunity is being captured ahead of Empower.

What Empower Is Winning

Questions This Section Answers

• What does Empower's three-month coverage streak look like across the series?
• Where is Empower converting AI visibility into actual recommendations?

Empower's clearest win is momentum. Valid recommendation coverage rose from 8.1% in July 2026 to 21.69% in October 2026, a 13.6-point gain across the series and a movement beyond normal variation. The brand rose in each of the three months since July 2026, reaching 10.4% in August 2026 and 21.6% in September 2026 before a modest 0.1-point gain in October 2026.

Raw mention presence nearly tripled across the series, rising from 10.7% in July 2026 to 27.69% in October 2026. Top-three placement also improved, moving from 1.5% in July 2026 to 6.61% in October 2026.

Empower carries zero negative mentions in the qualified set. Every classified mention was either positive or neutral, and the net sentiment score of 0.8134 reflects a framing environment with no observed cautionary or critical language.

The brand also shows a meaningful pocket of recommendation strength on Google AI Overviews, where it recorded 32 valid recommendations and a 25.4% coverage rate. That platform produced the largest single share of Empower's valid recommendations in October 2026.

These are real gains, but they are gains in presence and mid-tier placement rather than in first-position recommendation power. Empower's rank-one count of 4 placements across 484 qualified observations is thin, and the brand has not yet converted its rising presence into shortlist leadership.

Where Empower Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How far behind Fidelity, Charles Schwab, and Vanguard is Empower on top-three and rank-one rates?
• Which platforms show the widest gap between Empower's coverage and its rank-one placement?

Empower's largest gap is the distance between being mentioned and being chosen near the top of the shortlist. The brand appears in 27.69% of qualified observations but receives a valid recommendation in only 21.69%, and it reaches the top three in just 6.61%. Fidelity reaches the top three in 83.06% of qualified observations, Charles Schwab in 74.79%, and Vanguard in 64.05%. Empower's 6.61% top-three rate places it well behind the three leaders and behind SoFi at 9.50% and Betterment LLC at 9.09%.

Rank-one placement is the sharpest gap. Empower recorded 4 rank-one placements in October 2026, a 0.83% rate. Fidelity recorded 276 rank-one placements at 57.02%, Charles Schwab 81 at 16.74%, and Vanguard 36 at 7.44%. Even SoFi and Betterment LLC, which sit closer to Empower on coverage, recorded 8 rank-one placements each. Empower is being named in the answer but is rarely the first recommendation.

Platform-level gaps reinforce the pattern. On Google AI Mode, Empower recorded a 22.6% coverage rate but only a 1.2% rank-one rate, and 12 of its 31 mentions on that platform were neutral rather than positive. On Perplexity, Empower recorded a 9.6% coverage rate and a 1.1% rank-one rate, well below the platform's leaders. On ChatGPT, Empower's coverage rate of 37.5% is its strongest platform reading, but its rank-one rate on that platform is 0.00%, meaning the brand is recommended but never placed first.

The competitive displacement pattern is consistent across platforms. When Empower is present but not recommended at the top of the shortlist, the recommendation credit is going to Fidelity, Charles Schwab, or Vanguard. Those three brands hold the top-three positions in the category, and Empower's gains have not yet come at their expense in placement terms.

Biggest Opportunity

Questions This Section Answers

• Which prompts should Empower prioritize to convert mentions into top-three shortlist positions?
• How much room does Empower have to reach the mid-tier top-three range held by SoFi and Betterment LLC?

Empower's biggest opportunity is converting its existing presence into top-three shortlist positions inside the Brand Recommendation cluster. The brand already appears in more than a quarter of qualified observations, which means the retrieval and mention layer is working. What is not working is the placement layer: the same prompts that surface Empower are placing Fidelity, Charles Schwab, and Vanguard ahead of it.

The path from reference to recommendation runs through the prompts where Empower is mentioned but not shortlisted. Those prompts include direct advisor-selection questions such as "Who are the top five financial advisors?" and "What is the best financial company to go with?", where the brand is visible in the answer but not placed in the leading recommendation set. Closing that gap would move Empower's top-three rate toward the mid-tier range occupied by SoFi and Betterment LLC, and would begin to build rank-one placement where the brand currently has almost none.

Competitive Landscape

Questions This Section Answers

• Where does Empower sit among the ten tracked brands on top-three and rank-one rates?
• How does Empower's average recommended rank compare with SoFi and Betterment LLC?

Fidelity and Charles Schwab hold the strongest recommendation-stage positions in the Online Financial Advisors category, with Vanguard close behind. Empower sits in the middle of the table, ahead of Wealthfront Corporation, Facet, Ellevest, and Zoe Financial on top-three rate, but well behind the three leaders and behind SoFi and Betterment LLC.

Average recommended rank covers rank-eligible recommendations only.

Empower's position in the table shows a brand with mid-tier top-three presence and very thin rank-one placement. Its average recommended rank of 3.87 is competitive with SoFi and Betterment LLC, which means that when Empower does receive rank credit, it lands in a similar position to those brands. The gap is in how often that rank credit is awarded at all.

Prompt Evidence

Questions This Section Answers

• Which prompts show Empower being mentioned but placed outside the top three?
• What do the prompt results reveal about Empower's neutral framing on Google AI Mode and Perplexity?

ChatGPT / Brand Recommendation Prompt: "What brokerage do the rich use?" Result: Empower was mentioned and received a valid recommendation, but the top-three placement went to Fidelity, Charles Schwab, and Vanguard.

Google AI Mode / Brand Recommendation Prompt: "What are the top 100 finance companies in the USA?" Result: Empower appeared in the answer with neutral framing, contributing to its 14.3% neutral visibility rate on Google AI Mode.

Google AI Overviews / Brand Recommendation Prompt: "Where can I put my money to earn the most interest?" Result: Empower received a valid recommendation and contributed to its 32 valid recommendations on Google AI Overviews, its strongest platform by recommendation count.

Perplexity / Brand Recommendation Prompt: "What is the best financial company to go with?" Result: Empower was mentioned but placed outside the top three, consistent with its 2.1% top-three rate on Perplexity.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts where Empower is mentioned but not shortlisted, and identify which competitors take the recommendation credit in those answers.

Phase 2: Recommendation Readiness Plan Prioritize the prompt clusters and platforms where Empower's presence-to-recommendation gap is widest, starting with Google AI Mode and Perplexity.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages and structured content that AI systems retrieve when forming advisor recommendations, focused on the direct selection prompts where Empower already appears.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems cite in this category, including comparison sites and financial publishers that currently favor the leading brands.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Empower's top-three and rank-one rates month over month to confirm whether presence gains are converting into placement gains.

Why This Matters

AI presence alone is not enough. Empower's October 2026 results show a brand that is being mentioned in more than a quarter of qualified observations but is rarely placed at the top of the shortlist. Buyers who ask an AI system for an advisor recommendation are seeing Empower's name, but they are seeing Fidelity, Charles Schwab, and Vanguard named first.

The next move is targeted correction of the prompt, page, and citation layers that shape placement. Empower's momentum across the series is real, and the brand has already built the presence layer. The work ahead is converting that presence into recommendation-stage visibility at the top of the shortlist.

Core Metrics

Sentiment Score

Questions This Section Answers

• How is Empower's net sentiment score of 0.8134 calculated?
• Why can a high mention rate still understate recommendation weakness?

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

For Empower in October 2026, that calculation is (109 × 1 + 25 × 0 + 0 × -1) / 134, which produces a score of 0.8134.

This matters because unclassified mention counts are misleading. A raw mention total treats a positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention as equal, when they are not. Empower's 134 mentions include 25 neutral references that carry no recommendation weight, and the brand's 105 valid recommendations are the only mentions that represent actual shortlist credit.

Share of voice is a diagnostic metric, not a business KPI. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because a brand can appear frequently in AI answers while receiving little or no recommendation credit. Empower's case shows this clearly: the brand's presence rate of 27.69% is more than four times its top-three rate of 6.61%.

Sentiment by Platform

Questions This Section Answers

• Which platforms show Empower as present but not recommendation-led?
• Where does Empower's sentiment score look strongest or weakest across platforms?

Methodology

1. This report is a benchmark-based analysis of Empower's AI recommendation visibility in the Online Financial Advisors category. It is not a client implementation result.
2. The reporting month is October 2026, with comparison points from July 2026, August 2026, and September 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The October 2026 run began with 800 prompt-surface observations. Of those, 606 were relevant, 194 were irrelevant, and 484 qualified as the public benchmark denominator.
5. The competitor universe includes ten tracked entities: Fidelity, Charles Schwab, Vanguard, SoFi, Betterment LLC, Empower, Wealthfront Corporation, Facet, Ellevest, and Zoe Financial.
6. One buyer-intent cluster produced qualified observations in October 2026: Brand Recommendation. Pricing & Value and Multi-Brand Comparison carried no qualified observations in this period.
7. A mention is counted when a tracked brand appears in a qualified AI response, regardless of whether it is recommended.
8. A valid recommendation is counted when the dataset marks the brand as receiving recommendation credit, not merely being listed or referenced.
9. Top-three and rank-one rates are calculated against the 484 qualified observations, not the raw 800 collected prompts.
10. Average recommended rank covers rank-eligible recommendations only. Empower's average recommended rank of 3.87 reflects the 105 valid recommendations that received rank credit.
11. Beginning in September 2026, Betterment, Facet Wealth, and Wealthfront appear under their legal-entity names: Betterment LLC, Facet, and Wealthfront Corporation. The prior-name series does not continue.
12. The qualified denominator has declined across the series, from 671 in July 2026 to 484 in October 2026, while the share of answers taking a recommendation shape has risen. This changes the composition of the set that percentages are calculated against.

See How AI Is Recommending Your Brand

The public benchmark shows where Empower stands in AI-generated advisor recommendations. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and sources driving those results, and identifies where presence is failing to convert into shortlist placement.