Empower AI Market Strategy Report - Online Financial Advisors

Answer Capsule

Empower is the strongest mid-tier riser in the September 2026 Online Financial Advisors benchmark, with valid recommendation coverage climbing to 21.6% from 8.1% in July 2026, a 13.5-point gain across the series. That gain is real but narrow: Empower is recommended in roughly one in five qualified observations while Fidelity is recommended in more than four in five. The clearest win is a two-month upward streak across presence, coverage, and placement quality, with Gemini surfacing Empower at the highest recommendation rate of any tracked platform. The clearest weakness is placement depth, where Empower's top-three rate of 4.4% and rank-one rate of 0.8% trail the category leaders by an order of magnitude. The clearest opportunity is converting its rising raw visibility, now at 28.7%, into higher-position recommendations inside the Brand Recommendation cluster.

Who This Report Is For

This report is for Empower's marketing, growth, and digital strategy leaders, and for category analysts tracking how online financial advisor brands are recommended inside AI-generated answers.

Report Card

Executive Summary

Empower holds a rising but still secondary position in AI-generated recommendations for online financial advisors. The benchmark shows valid recommendation coverage of 21.6% in September 2026, up from 8.1% in July 2026, a 13.5-point gain that the dataset marks as beyond normal month-to-month variation. This is the second consecutive monthly increase, following a rise to 10.4% in August 2026.

Raw mention presence moved even faster than recommendation coverage. Empower appeared in 28.7% of qualified observations in September 2026, up from 10.7% in July 2026, an 18.0-point increase. The gap between presence and recommendation coverage is the central story: AI systems are increasingly naming Empower, but they are not yet consistently placing it on the shortlist.

Placement quality remains the weakest dimension. Empower's top-three rate reached 4.4% in September 2026, up from 1.5% in July 2026, and its rank-one rate reached 0.8%, up from 0.4%. Those are genuine improvements, but Fidelity's top-three rate of 59.9% and rank-one rate of 42.5% show how much headroom remains between a rising challenger and a category leader.

The strongest platform signal is Gemini. Empower recorded a 29.3% valid recommendation coverage rate on Gemini, the highest of any tracked platform for the brand, alongside a 19.5% top-three rate and a 4.9% rank-one rate. Gemini is where Empower is closest to recommendation-stage parity with larger brands.

The clearest platform gap is ChatGPT. Empower's valid recommendation coverage on ChatGPT was 37.3%, but its top-three rate was only 5.9% and its rank-one rate 2.0%. The brand is being discussed on ChatGPT far more often than it is being placed near the top of the answer.

The clearest cluster gap is structural. All 501 qualified observations in September 2026 fell into the Brand Recommendation cluster. The benchmark contains no qualified observations in Pricing & Value or Multi-Brand Comparison, so Empower's performance on fee perception and head-to-head comparison questions cannot be measured from this public dataset.

Sentiment framing is positive but softer than peers. Empower's net sentiment score of 0.7639 is the lowest among the ten tracked brands, driven by 34 neutral mentions against 110 positive mentions and zero negative mentions. The brand is being referenced factually more often than it is being praised.

What Empower Is Winning

Questions This Section Answers

• Where is Empower's AI recommendation momentum coming from?
• Which platform gives Empower its strongest recommendation performance?
• How does Empower's lack of negative mentions compare with its weaker sentiment ranking?

Empower's clearest evidence-backed win is momentum. The benchmark records a 13.5-point gain in valid recommendation coverage between July 2026 and September 2026, with increases in both intervening months. The dataset marks this movement as beyond normal variation.

The second win is Gemini. Empower's 29.3% valid recommendation coverage on Gemini is its strongest platform result, and its 19.5% top-three rate on that platform is more than four times its overall top-three rate. Gemini is currently Empower's most recommendation-friendly surface.

The third win is the absence of negative framing. Empower recorded zero negative mentions across 144 present observations in September 2026. Its 34 neutral mentions reflect factual or contextual references rather than cautionary framing.

The fourth win is absolute volume growth. Empower recorded 108 valid recommendations in September 2026, up from 54 in July 2026, with the absolute count more than doubling even as the qualified denominator shrank from 671 to 501 observations.

These are real gains. They are also gains from a small base, and the report should be read with that scale in mind.

Where Empower Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why doesn't Empower's rising visibility convert into top-three recommendations?
• Which competitors are capturing the recommendations Empower misses?
• Where does Empower's platform coverage break down most?

The largest gap is recommendation conversion. Empower appeared in 144 of 501 qualified observations but received valid recommendation credit in only 108. That means roughly one in four appearances does not convert into a shortlist placement. Fidelity, by comparison, appeared in 499 observations and converted 408 into valid recommendations.

The second gap is placement depth. Empower's top-three rate of 4.4% means it reaches the top three in roughly 22 of 501 qualified observations. Fidelity reaches the top three in 300. Charles Schwab reaches it in 258. Vanguard reaches it in 219. Empower is present in the conversation but rarely positioned as a leading answer.

The third gap is rank-one scarcity. Empower recorded 4 rank-one placements in September 2026 against Fidelity's 213 and Charles Schwab's 52. When AI systems name a single best online financial advisor, Empower is almost never that answer.

The fourth gap is platform inconsistency. Empower's Gemini coverage of 29.3% sits alongside a Copilot coverage of 11.2%, a Perplexity coverage of 8.7%, and an AI Mode coverage of 21.7%. The brand's recommendation strength is concentrated rather than distributed.

The fifth gap is competitive displacement. In the Brand Recommendation cluster, Fidelity is the cluster winner with 149,528.82 in modeled AI Authority Value against Empower's 19,488.18. Modeled AI Authority Value is a modeled benchmark figure assigned to positive valid top-three recommendations; it is not revenue. The benchmark identifies Fidelity as the brand capturing the recommendation when Empower is not chosen.

Biggest Opportunity

Questions This Section Answers

• What is Empower's clearest path from mention to shortlist placement?
• Which platforms and content assets should Empower prioritize to close its placement gap?

Empower's single biggest opportunity is converting its rising raw visibility into top-three placements inside the Brand Recommendation cluster. The brand already appears in 28.7% of qualified observations, which means the retrieval layer is working. What is missing is the framing and evidence layer that moves a brand from "mentioned" to "recommended near the top."

The specific path is Gemini and AI Overviews, where Empower already shows its strongest recommendation behavior, combined with the owned answer and citation assets that support those surfaces. The benchmark cannot show which sources drive those placements, but it does show where the placements are already happening. That is where the next increment of coverage is most likely to come from.

Competitive Landscape

Questions This Section Answers

• Where does Empower sit in the online financial advisor AI recommendation standings?
• What separates Empower's placement quality from the category leaders?
• How does Empower's sentiment compare against its competitive rank?

Fidelity, Charles Schwab, and Vanguard hold recommendation-stage strength in the online financial advisor category, with Fidelity leading on both coverage and placement. Empower sits in sixth position by valid recommendation coverage, ahead of Wealthfront Corporation, Facet, Ellevest, and Zoe Financial, and behind SoFi and Betterment LLC.

Average recommended rank covers rank-eligible recommendations only.

Empower's position in the table shows a brand with a better average recommended rank than SoFi and Betterment LLC, at 3.7231, but a lower top-three rate than SoFi. The numbers indicate that when Empower is recommended, it tends to land in the middle of the list rather than at the top.

Prompt Evidence

Questions This Section Answers

• On which prompts did Empower show its strongest and weakest recommendation behavior?
• How does Empower's ChatGPT performance differ between presence and top-three placement?

Gemini / Brand Recommendation Prompt: "What is the best Roth IRA right now?" Result: Empower recorded its strongest platform-level recommendation behavior on Gemini, with a 29.3% valid recommendation coverage rate and a 19.5% top-three rate.

ChatGPT / Brand Recommendation Prompt: "What bank is the best for investing?" Result: Empower appeared in 41.2% of ChatGPT observations but reached the top three in only 5.9%, showing presence without placement depth.

Perplexity / Brand Recommendation Prompt: "Where can I put my money to earn the most interest?" Result: Empower recorded an 8.7% valid recommendation coverage rate on Perplexity, its weakest platform result among the six tracked surfaces.

AI Overviews / Brand Recommendation Prompt: "What apps do I need to start investing?" Result: Empower recorded a 29.5% valid recommendation coverage rate on AI Overviews, its second-strongest platform result.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts, surfaces, and competitor displacement patterns behind Empower's 21.6% coverage and identify where the brand loses top-three placement.

Phase 2: Recommendation Readiness Plan Prioritize the Gemini and AI Overviews surfaces where Empower already shows recommendation strength, and define the framing changes needed to move from mention to shortlist.

Phase 3: Owned Answer Layer Buildout Build the comparison, eligibility, and product-fit content that AI systems can retrieve when answering direct "who should I use" questions.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that supports Empower's recommendation claims, including third-party references, structured product data, and source pages AI systems can synthesize.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment by platform and cluster to confirm whether the two-month upward streak continues.

Why This Matters

Empower's two-month rise in AI recommendation coverage shows that movement inside AI-generated answers is possible. It also shows how quickly a rising brand can plateau if presence does not convert into placement. Buyers asking AI systems for an online financial advisor recommendation are not reading a list of every brand mentioned. They are reading a shortlist, and increasingly they are acting on the first name in it.

The next move is not more visibility. It is targeted correction of the prompt, page, and citation layers that determine whether Empower appears near the top of the answer or in the middle of it. The benchmark shows where Empower is winning. The work ahead is making those wins repeatable across platforms and prompt types.

Core Metrics

Sentiment Score

Questions This Section Answers

• Why is Empower's sentiment score the lowest among tracked brands despite zero negative mentions?
• What does Empower's high neutral mention share reveal about how AI systems describe the brand?

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

Empower's September 2026 sentiment score is 0.7639, calculated from 110 positive mentions, 34 neutral mentions, and zero negative mentions across 144 present observations.

This matters because unclassified mention counts are misleading. A brand that appears in 144 observations but is only praised in 110 of them is not the same as a brand that is praised in all 144. 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.

Empower's score is the lowest among the ten tracked brands, not because of negative framing, which is absent, but because of a higher neutral share. Roughly one in four Empower mentions is a factual or contextual reference rather than an endorsement. Classified sentiment is required before interpreting AI visibility, and Empower's classification shows a brand that is being described more often than it is being recommended.

Sentiment by Platform

Questions This Section Answers

• Which AI platforms frame Empower most positively by sentiment score?
• Where does Empower's sentiment score conflict with its recommendation placement performance?

Methodology

1. This report is a benchmark-based analysis of Empower's position in AI-generated recommendations for the online financial advisor category. It is not a client result and does not imply that any remediation work caused the observed outcomes.
2. Reporting window: September 2026, with July 2026 and August 2026 comparison months drawn from the LLM Authority Index AI Market Discovery Index.
3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six surface families produced at least one qualified observation in September 2026.
4. Observation count: 800 prompt-surface observations were collected, producing 623 unique questions, 593 relevant responses, 207 irrelevant responses, and 501 qualified benchmark observations.
5. Competitor universe: ten tracked brands, including Betterment LLC, Charles Schwab, Ellevest, Empower, Facet, Fidelity, SoFi, Vanguard, Wealthfront Corporation, and Zoe Financial.
6. Public clusters used: three buyer-intent clusters were defined for the benchmark. Only the Brand Recommendation cluster produced qualified observations in September 2026. The two additional clusters did not produce qualified observations in this cycle, and the labels attached to them in the source packet reference budgeting-app intent, which does not match this online financial advisor category. That taxonomy conflict is flagged here and does not affect the reported metrics.
7. Stage 0 role: prompt-level observations retain the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. Definition of a mention: a qualified observation in which Empower is named at all, regardless of placement or framing.
9. Definition of a valid recommendation: a qualified observation in which Empower receives explicit recommendation credit, as marked by the dataset. Neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Ranking interpretation: top-three rate and rank-one rate are calculated against the 501 qualified observations. Average recommended rank covers rank-eligible recommendations only.
11. Tracking note: beginning in September 2026, Betterment, Facet Wealth, and Wealthfront appear under legal-entity names (Betterment LLC, Facet, and Wealthfront Corporation). Their prior series do not continue into September 2026.
12. Limitations: the public benchmark measures Brand Recommendation discovery only. It does not measure market share, attributable sales, organic-search ranking, social mention volume, or causality from a metric movement alone. A change in recommendation coverage reflects what AI surfaces returned for the tested prompts in this period and does not by itself establish why that change occurred.

See Where AI Is Recommending Your Brand

The public benchmark shows where Empower is gaining ground and where it is still being described rather than recommended. A company-level AI visibility audit maps the specific prompts, surfaces, competitors, and sources behind those patterns, and identifies the fastest path from mention to shortlist.