Marcus by Goldman Sachs Appears in 61.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Marcus by Goldman Sachs ranks near the top of the money market account set, with strong mention and recommendation rates but fewer first-place placements than the leader.
  • The article identifies 12 conflicting claims, mostly around deposit minimums and savings or CD rates, and recommends verifying them against primary sources first.
  • The highest-priority company pages are the high-yield savings and no-penalty CD pages, which account for most of the brand’s website citations.
  • Observed buyer questions cluster around no-penalty CDs and best savings accounts, suggesting focused content briefs rather than broader topic expansion.

Answer Capsule

In November 2026, Marcus by Goldman Sachs appeared in 423 of 688 AI answers included in the Money Market Accounts benchmark (61.48%). It received 377 recommendations (54.80%), with 188 Top 3 placements and 40 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do Marcus by Goldman Sachs mentions, recommendations and placements compare with its Money Market Accounts peers?

Marcus by Goldman Sachs recorded 423 mentions (61.48%) and 377 recommendations (54.80%) across 688 answers included in the benchmark. Top 3 placements numbered 188; first-place recommendations numbered 40. Framing among its mentions was 379 positive, 43 neutral and 1 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Ally Bank

447

64.97%

402

58.43%

180

26.16%

61

8.87%

2

Marcus by Goldman Sachs

423

61.48%

377

54.80%

188

27.33%

40

5.81%

3

CIT Bank

312

45.35%

289

42.01%

219

31.83%

67

9.74%

4

Sallie Mae

291

42.30%

249

36.19%

60

8.72%

15

2.18%

5

Vio Bank-(MidFirst Bank)

237

34.45%

213

30.96%

31

4.51%

10

1.45%

6

Synchrony Bank

210

30.52%

179

26.02%

84

12.21%

24

3.49%

7

Quontic Bank

196

28.49%

177

25.73%

119

17.30%

4

0.58%

8

UFB Direct-Parent Company(Axos Financial, Inc.)

67

9.74%

60

8.72%

9

1.31%

2

0.29%

9

Discover Home Loans

61

8.87%

37

5.38%

20

2.91%

3

0.44%

10

Capital One Platinum Mastercard

23

3.34%

16

2.33%

14

2.03%

2

0.29%

Marcus by Goldman Sachs sits near the top of the money market account set, with mention and recommendation rates close behind the leader and a strong positive share of framing. That combination suggests the brand is already part of the answer set rather than fighting for entry.

The placement picture is more mixed. Shortlist appearances are healthy, but first-place finishes are comparatively thin, so the brand is often in the conversation without being the answer's lead pick. We would treat that gap as the practical target rather than chasing more raw mentions.

Because the monthly samples are separate selections, we would not read the ranking as a trend. The first step is a scorecard that separates reach, placement and framing so the client can see which lever actually moves.

What changed since last month

Questions This Section Answers

  • How did Marcus by Goldman Sachs counts and coverage differ across the available monthly snapshots?

Metric

Nov 2026

Mentions

423 / 688 (61.48%)

Recommendations

377 / 688 (54.80%)

Top 3 recommendations

188 / 688 (27.33%)

#1 recommendations

40 / 688 (5.81%)

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

There are insufficient usable monthly observations for a prior-period comparison.

Only one verified month is available, so there is no prior-period comparison to interpret. The current figures stand as a baseline rather than a movement, and we would present them that way to avoid implying a direction the evidence cannot support.

That matters for planning. Without a second comparable month, any change the client sees later should be read against this baseline with the sample difference stated plainly. We would set the baseline now and add a fresh scorecard at the end of the engagement so future movement has a reference point.

AI recommendation trend

Observed recommendation rate (%), Nov 2026

  • Marcus by Goldman Sachsno change
    Nov 202654.80%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Marcus by Goldman Sachs?

AI answers contained 12 conflicting claims about Marcus by Goldman Sachs: 0 critical, 0 high, 9 medium, 3 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

The fact-check list is the most actionable item here. The recorded conflicts cluster on deposit minimums and savings and CD rates, and all sit at medium or low severity, so none demands emergency action. They do warrant a scoped review because rate and minimum details are exactly what a buyer checks before opening an account.

We would build a visibility comparison alongside that list, pairing each disputed topic with the answers that raised it. That lets the client see which claims recur and which are isolated before anyone spends time on corrections.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Marcus by Goldman Sachs should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

no-penalty CD minimum deposit

medium

$500 minimum

no minimum deposit

savings APY

medium

3.50% APY

3.90% APY

no-penalty CD APY

medium

~3.80-3.95% APY

4.00% APY

no-penalty CD minimum deposit

medium

$500 minimum

no minimum deposit

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

The disputed topics repeat across the same product lines, which suggests the review should start with the no-penalty CD and savings pages rather than spreading effort widely. Both columns are AI statements, not verified facts, so the first task is to confirm the entity, the date and the source behind each figure.

Different dates can explain an apparent rate conflict, and a minimum deposit claim may refer to a different product version. We would resolve those questions against current primary sources before drafting any page brief, and we would leave ambiguous matches out of the correction queue entirely.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Marcus by Goldman Sachs?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://bankrate.com/banking/cds/best-no-penalty-cd-rates/

35

28

6

https://cnbc.com/select/best-no-penalty-cd-rates/

35

30

4

https://ally.com/bank/no-penalty-cd/

11

8

4

https://raisin.com/en-us/cd-accounts/no-penalty-cd-rates/

11

8

4

https://cit.com/cit-bank/bank/cds/no-penalty-cd

8

5

4

https://businessinsider.com/personal-finance/banking/best-no-penalty-cds

4

4

4

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages selected for review are mostly third-party comparison articles, with a few competitor and marketplace pages mixed in. A citation shows that a page appeared in an answer; it does not establish that the page influenced the wording or produced a conflict. We would check current contents before making any request.

Where a page does contain outdated or unclear information, the agency would prepare an evidence-backed request with the verified facts attached. Where it does not, the outcome is a documented no-change decision, which is just as useful for the client's records.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Marcus by Goldman Sachs website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://marcus.com/us/en/savings/high-yield-savings

30

23

19

https://marcus.com/us/en/savings/no-penalty-cds

15

12

11

https://marcus.com/

7

7

7

https://marcus.com/us/en/savings/high-yield-cds

7

5

5

https://marcus.com/us/en/savings/high-yield-savings?source=savings

4

3

3

https://marcus.com/us/en

3

1

1

https://marcus.com/us/en/faqs

2

0

0

https://marcus.com/us/en/resources/saving/what-to-know-about-interest-rates

2

0

0

The company's website was cited 95 times across 31 distinct page addresses; the table shows 8 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The savings and no-penalty CD pages carry most of the company citations, which makes them the natural focus for page briefs. The FAQ and resource pages show little or no answer presence, so we would check whether they are meant to serve this audience before proposing new work there.

Briefs would use approved facts, the buyer questions observed in the research and the existing page structure. A citation is not proof that a page accompanied a recommendation, so the briefs aim to make the pages clearer and more complete, not to claim credit for placement.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Marcus by Goldman Sachs?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Which bank has no-penalty CD?

6

6

6

Which banks have no penalty CDs?

5

5

5

Which banks have no-penalty CDs?

4

4

4

Which banks offer no-penalty CD?

4

4

4

Who has no penalty in CDs?

4

4

4

Who has the best no penalty CDs?

4

4

4

What savings account does Ramit Sethi recommend?

3

3

3

Which bank has the best savings account?

3

3

3

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The observed questions are heavily concentrated on no-penalty CDs, with a smaller cluster around best savings accounts. That is a narrow, practical set of buyer questions, and the company already appears in most of the answers to them. The opportunity is depth and clarity rather than a new topic area.

We would check existing coverage first, then draft briefs that answer the deposit minimum and rate questions directly. These are recorded answer observations, not search volume, so the briefs respond to what buyers are asking in AI answers rather than to assumed demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Marcus by Goldman Sachs work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline scorecard, a scoped fact-review register and the page and source shortlist, each with an owner and a review status. Nothing gets corrected in that window; the work is confirmation and prioritization.

The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately. The third month delivers buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and no gain is promised.

Methodology

Questions This Section Answers

  • How are Marcus by Goldman Sachs answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 688 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 4820 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Nov 2026

688

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

July 2026 measured a different set of companies, so it is excluded from this comparison. August 2026 measured a different set of companies, so it is excluded from this comparison. September 2026 measured a different set of companies, so it is excluded from this comparison. October 2026 measured a different set of companies, so it is excluded from this comparison.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The rates rest on answers that met the benchmark's inclusion rules, and the collection dates for the original answers have not been verified. An answer can mention several companies, so company counts do not add up to distinct answers. Sentiment describes answer wording, not customer satisfaction.

Cited pages and disputed claims still need independent checking. The monthly samples differ, so comparisons show what was recorded, not why it changed.

Our first three priorities

First, confirm the disputed deposit minimum and rate claims against current primary sources, starting with the no-penalty CD and savings pages. This is verification work, and it decides whether any correction is warranted at all.

Second, review the most-cited third-party comparison pages and prepare evidence-backed requests only where the current content supports one. Third, draft buyer-question briefs around no-penalty CD availability and best savings accounts, checking existing coverage before proposing anything new. Each step has a named owner and a recorded outcome.

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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.

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