CiteWorks Studio

Marcus by Goldman Sachs AI Market Strategy Report - Savings Account

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • Valid recommendation coverage fell to 48.2% in September 2026, down 6.6 points from August, marking the sharpest decline among tracked savings brands.
  • Marcus appears in 55.9% of qualified observations, but only converts 13.8% into top-three placements and 2.4% into rank-one recommendations.
  • ChatGPT is the brand’s strongest platform for recommendation coverage, while Gemini and Google AI Overviews show the largest gaps between visibility and placement.
  • Net sentiment remains strong at 0.9425 across 400 mentions, suggesting the main issue is recommendation conversion rather than negative brand framing.

Answer Capsule

Marcus by Goldman Sachs holds 48.2% valid recommendation coverage in the September 2026 Savings Account benchmark, down 6.6 points from 54.8% in August 2026, the sharpest decline of any tracked brand. The brand is visible but under-recommended: it appears in 55.9% of qualified observations yet converts only 13.8% of them into top-three placements and 2.4% into rank-one recommendations. The clearest win is a still-strong positive framing profile at 0.9425 net sentiment across 400 mentions. The clearest weakness is a broad-based placement collapse that inverted its position against Axos Bank and narrowed its cushion over CIT Bank to roughly one point. The clearest opportunity is restoring rank-one and top-three placement inside the Best High Yield Savings Accounts cluster, where the category's recommendation decisions are actually being made.

Who This Report Is For

This report is written for Marcus by Goldman Sachs marketing, brand, and digital strategy leaders, and for savings category executives who need to understand how AI systems are positioning their brand at the moment a buyer asks for a recommendation.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Marcus by Goldman Sachs

Category / market studied

Savings Account

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

3 defined, 1 with qualified observations

AI observations analyzed

716 qualified observations

Competitors tracked

9

Executive Summary

Marcus by Goldman Sachs is visible in the Savings Account category but is not converting that visibility into recommendation strength at the rate its presence would suggest. The brand recorded 400 mentions across 716 qualified observations in September 2026, a raw mention presence rate of 55.9%, yet only 345 of those observations produced a valid recommendation and only 99 placed the brand in a top-three position. That gap between being named and being chosen is the central finding of this report.

The September 2026 benchmark marked Marcus by Goldman Sachs as one of two significant decliners in the category. Valid recommendation coverage fell 6.6 points, from 54.8% in August 2026 to 48.2% in September 2026. Rank-one placement fell from 5.3% to 2.4%, a drop the benchmark also classified as beyond normal month-to-month variation. Presence rate declined 3.4 points to 55.9%. Net sentiment slipped from 0.969 to 0.9425.

The decline was broad rather than isolated to a single competitor. The gap to category leader SoFi widened from 19.8 points to 28.2 points. The gap to Axos Bank inverted from a 0.3-point lead in August 2026 to a 9.6-point deficit in September 2026. CIT Bank moved from 9.6 points behind to 1.0 point behind. This pattern indicates a repositioning across the mid-tier rather than displacement by one rival.

The strongest cluster signal for the brand remains Best High Yield Savings Accounts, the only cluster in the public series carrying qualified observations. Within that cluster Marcus by Goldman Sachs holds a 13.8% top-three rate and a 2.4% rank-one rate, both well below its 48.2% coverage rate. The brand is being listed far more often than it is being recommended first.

The strongest platform signal is ChatGPT, where the brand holds 63.2% valid recommendation coverage and a 25.3% top-three rate, its best placement environment among the six tracked surfaces. The clearest platform gap is Gemini, where coverage falls to 33.0% and the top-three rate collapses to 4.5%, and Google AI Overviews, where the top-three rate is 7.6% against a 34.1% coverage rate.

The benchmark does not establish why the decline occurred. It records the movement and identifies where attention is warranted. The pattern is consistent with a shift in which evidence sources AI systems are weighing, or a change in the mix of questions that qualified, rather than a change in the brand's underlying product position.

What Marcus by Goldman Sachs Is Winning

Questions This Section Answers

  • Where does Marcus by Goldman Sachs have its strongest AI recommendation profile?
  • How well is Marcus framed when it does appear in AI savings account answers?

The brand's clearest evidence-backed strength is its framing quality. Net sentiment of 0.9425 across 400 mentions places it mid-pack in a category where every tracked brand scores above 0.85, and it recorded only one negative mention in the entire September 2026 qualified set. AI systems are not framing the brand negatively; they are simply recommending it less prominently.

ChatGPT is the strongest platform environment for the brand. Marcus by Goldman Sachs holds 63.2% valid recommendation coverage there, well above its 48.2% overall rate, alongside a 25.3% top-three rate and 55 valid recommendations. This is the one surface where the brand's placement profile approaches the category's upper tier.

The brand also retains a meaningful rank-one pocket on Perplexity, where it holds a 7.0% rank-one rate, matching its overall top-three rate on that surface at 20.9%. Perplexity is a small platform in this benchmark, but the brand's relative placement there is stronger than its category-wide position.

These wins are narrow. The brand does not lead any cluster, any platform, or any placement metric in the September 2026 benchmark. The honest read is that Marcus by Goldman Sachs is a mid-tier brand with strong framing and one platform where its recommendation profile holds up.

Where Marcus by Goldman Sachs Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is Marcus being named in AI answers without being recommended?
  • Which platforms show the sharpest gap between Marcus's presence and its top-three placement?
  • How does Marcus's recommendation conversion compare to Ally Bank's?

The gap is not presence. At 55.9% raw mention presence, Marcus by Goldman Sachs appears in more than half of all qualified observations, ahead of CIT Bank, American Express, EverBank, Synchrony Bank, and Barclays. The gap is what happens after the mention.

Valid recommendation coverage sits 7.7 points below presence rate, and top-three rate sits 42.1 points below presence rate. In practical terms, the brand is named in most answers where it appears at all, but it is named as one of the top three options in only about one in seven of those answers. Rank-one placement is rarer still at 2.4%.

The competitive displacement is measurable. Axos Bank, which trailed Marcus by Goldman Sachs by 0.3 points in August 2026, now leads by 9.6 points on 57.8% coverage. CIT Bank, which trailed by 9.6 points in August 2026, now trails by 1.0 point on 47.2% coverage. Both brands improved their placement while Marcus by Goldman Sachs lost ground, which points to substitution rather than a category-wide shift.

Platform-level gaps are sharper than the aggregate. On Gemini, the brand holds 33.0% coverage but only a 4.5% top-three rate and a 1.1% rank-one rate. On Google AI Overviews, coverage is 34.1% with a 7.6% top-three rate and a 0.5% rank-one rate. On Copilot, coverage is 54.2% with a 25.3% top-three rate but only a 2.4% rank-one rate. These are surfaces where the brand is being retrieved as context but not selected as the answer.

The comparison to Ally Bank is instructive. Ally Bank holds 68.7% coverage and a 41.8% top-three rate, meaning it converts presence into top-three placement at a far higher rate than Marcus by Goldman Sachs does. The difference is not visibility volume; it is recommendation conversion.

Biggest Opportunity

Questions This Section Answers

  • Where should Marcus focus to recover rank-one recommendations in the savings category?
  • Which prompt types decide whether Marcus is chosen rather than just listed?

The single clearest opportunity is restoring rank-one and top-three placement inside the Best High Yield Savings Accounts cluster, where the category's recommendation decisions are concentrated. All 716 qualified observations in September 2026 fell into this cluster, and the brand's rank-one count fell from 38 in August 2026 to 17 in September 2026. That is a loss of 21 first-position recommendations in a single month, against a category where the leader holds 148.

Recovering even a portion of that placement would move the brand back above CIT Bank and close part of the 9.6-point gap to Axos Bank. The prompt evidence points to the specific question types where this is decided: direct asks for the best high-yield savings account, the most recommended high-yield savings account, and the most trustworthy online bank. These are the prompts where the brand is currently being listed rather than chosen.

Competitive Landscape

Questions This Section Answers

  • Where does Marcus rank against competitors on top-three and rank-one rates?
  • How does Marcus's average recommended rank compare to the category leaders?
  • Which brands outrank Marcus on placement despite lower visibility?

SoFi holds the strongest recommendation-stage position in the Savings Account category, followed by Ally Bank and Capital One. Marcus by Goldman Sachs sits fifth by valid recommendation coverage, with a placement profile that lags several brands it outranks on raw presence.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Ally Bank

41.76%

16.34%

2.81

0.9534

SoFi

40.36%

20.67%

2.92

0.9455

Capital One

34.22%

6.84%

3.53

0.9426

Axos Bank

20.39%

5.87%

3.51

0.9733

CIT Bank

19.97%

5.59%

3.50

0.9526

Marcus by Goldman Sachs

13.83%

2.37%

4.19

0.9425

American Express

6.98%

1.12%

4.84

0.9565

EverBank

4.89%

1.12%

4.27

0.8993

Synchrony Bank

3.21%

0.84%

4.86

0.9153

Barclays

0.70%

0.00%

5.04

0.8511

Average recommended rank covers rank-eligible recommendations only.

Marcus by Goldman Sachs ranks sixth of ten on top-three rate and sixth on rank-one rate, despite ranking fifth on valid recommendation coverage. Its average recommended rank of 4.19 is more than a full position behind Ally Bank and SoFi, and behind both Axos Bank and CIT Bank. The table shows a brand that is recommended often enough to stay in the upper half of the category on coverage, but not prominently enough to compete for the first position.

Prompt Evidence

Questions This Section Answers

  • Which prompts and platforms show Marcus at its strongest or weakest in savings recommendations?
  • Where is Marcus being retrieved as context without being recommended?

ChatGPT / Best High Yield Savings Accounts Prompt: "What is the most recommended high-yield savings account?" Result: Marcus by Goldman Sachs holds its strongest platform coverage on ChatGPT at 63.2%, and this prompt type is where that strength is concentrated.

Gemini / Best High Yield Savings Accounts Prompt: "What is the best high yield savings account?" Result: Coverage falls to 33.0% on Gemini with a 4.5% top-three rate, the brand's weakest placement environment among the six tracked surfaces.

Google AI Overviews / Best High Yield Savings Accounts Prompt: "best high-yield savings account" Result: The brand is retrieved in 34.1% of observations but reaches the top three in only 7.6%, indicating presence without recommendation conversion.

Perplexity / Best High Yield Savings Accounts Prompt: "What is the most trustworthy online bank?" Result: The brand holds a 20.9% top-three rate and a 7.0% rank-one rate on Perplexity, its strongest relative placement pocket.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where Marcus by Goldman Sachs is mentioned but not recommended, and identify which competitor appears in its place and on which surface.

Phase 2: Recommendation Readiness Plan Prioritize the Best High Yield Savings Accounts prompts where rank-one placement was lost between August and September 2026, and define the product attributes and proof points those answers require.

Phase 3: Owned Answer Layer Buildout Strengthen the owned pages that answer direct recommendation questions, particularly the high-yield savings and trust-oriented query types where the brand is currently listed rather than chosen.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems retrieve when forming savings recommendations, focused on the source types that appear in answers where competitors are selected instead.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track coverage, top-three rate, rank-one rate, and sentiment monthly against the same competitor set to confirm whether placement recovers and to catch future declines earlier.

Why This Matters

A buyer asking an AI system for the best high-yield savings account receives a short list, not a directory. Marcus by Goldman Sachs is appearing in more than half of those answers, but it is reaching the top three in roughly one in seven and the first position in roughly one in forty. The brand is being seen without being selected.

Presence alone does not move a buyer to open an account. The next move is targeted correction of the prompt, page, and citation layers that determine whether the brand is listed or recommended, starting with the high-yield savings prompts where the September 2026 decline was concentrated.

Core Metrics

Metric

Value

Mentions

400

Valid recommendations

345

Top 3 recommendation count

99

Rank #1 recommendation count

17

Average recommended rank

4.19

Positive mentions

378

Neutral mentions

21

Negative mentions

1

Raw mention presence rate

55.87%

Valid recommendation coverage

48.18%

Top 3 recommendation rate

13.83%

Rank #1 recommendation rate

2.37%

Net sentiment score

0.9425

Strongest cluster by recommendation behavior

Best High Yield Savings Accounts

Strongest platform by recommendation behavior

ChatGPT

Sentiment Score

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

For Marcus by Goldman Sachs in September 2026, that is (378 × 1 + 21 × 0 + 1 × -1) / 400, which produces a score of 0.9425.

This matters because unclassified mention counts are misleading. A brand with 400 mentions sounds strong until the mentions are separated into positive recommendations, neutral references, and cautionary framing. Marcus by Goldman Sachs has almost no negative framing, which is genuinely good, but a 0.9425 sentiment score says nothing about whether the brand is being recommended first.

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 in commercial value, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and it is only the starting point. Placement, coverage, and rank have to be read alongside it.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

59

57

2

0

0.9661

Strongest public recommendation signal

Copilot

47

46

1

0

0.9787

Present, but not recommendation-led

Gemini

45

39

6

0

0.8667

Present as context, not recommendation

Perplexity

56

48

8

0

0.8571

Positive, but placement is thin

AI Overviews

70

68

2

0

0.9714

Present, but not recommendation-led

AI Mode

123

120

2

1

0.9675

Present as context, not recommendation

Methodology

  1. This report is a benchmark-based analysis of Marcus by Goldman Sachs within the Savings Account category, drawing on the LLM Authority Index AI Market Discovery Index for September 2026 and the associated metrics aggregation file.
  2. The reporting window is September 2026, with August 2026 as the comparison baseline. Both months are drawn from the same public benchmark series.
  3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six recorded qualified observations in September 2026.
  4. The September 2026 run began with 800 prompt-surface observations and produced 716 qualified observations after qualification, up from 712 in August 2026.
  5. The competitor universe contains ten tracked brands: SoFi, Capital One, Ally Bank, Axos Bank, Marcus by Goldman Sachs, CIT Bank, American Express, EverBank, Synchrony Bank, and Barclays.
  6. Three public clusters are defined for the category: Best High Yield Savings Accounts, Savings Account Comparisons, and Savings Account Rates and Pricing. Only the first carried qualified observations in September 2026.
  7. Stage 0 extraction produced the prompt-level records that feed the benchmark, retaining the query, surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is counted when a tracked brand appears in a qualified observation in any form, including neutral and comparison-anchor references.
  9. A valid recommendation is counted only when the dataset marks the brand as part of a valid recommendation shortlist. Negative, neutral, cautionary, and listed-only mentions are not counted as valid recommendations.
  10. Top-three rate and rank-one rate are calculated against the 716 qualified observations, not against the brand's own mention count.
  11. Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are shown with an em dash in the competitive table.
  12. The benchmark does not measure market share, attributable sales, organic-search ranking, social mention volume, or causality from a metric movement alone. It records the change; it does not establish why the change occurred.

Get Your AI Visibility Audit

The September 2026 benchmark shows where Marcus by Goldman Sachs is being mentioned and where it is being passed over. A company-level AI visibility audit maps the specific prompts, surfaces, competitor substitutions, and evidence sources behind those patterns into a prioritized plan for restoring recommendation placement in the Savings Account category.

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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.

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