U.S. Bancorp Appears in 49.7% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
12 minutes read

Key Takeaways

  • U.S. Bancorp is mentioned in 49.7% of benchmark answers, but only 26.1% recommend it, showing a gap between awareness and endorsement.
  • The main fact-checking issue is the naming of the free business checking account, which needs verification against primary bank sources before any page changes.
  • The most-cited company page is the business checking account page, making it the top priority for a content brief and factual review.
  • Observed buyer questions center on free business checking, no-fee accounts, and LLC fit, which should guide future content briefs.

Answer Capsule

In November 2026, U.S. Bancorp appeared in 82 of 165 AI answers included in the Business Checking Accounts benchmark (49.70%). It received 43 recommendations (26.06%), with 15 Top 3 placements and 2 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 U.S. Bancorp mentions, recommendations and placements compare with its Business Checking Accounts peers?

U.S. Bancorp recorded 82 mentions (49.70%) and 43 recommendations (26.06%) across 165 answers included in the benchmark. Top 3 placements numbered 15; first-place recommendations numbered 2. Framing among its mentions was 45 positive, 37 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Bluevine

126

76.36%

106

64.24%

84

50.91%

74

44.85%

2

Mercury

121

73.33%

98

59.39%

63

38.18%

6

3.64%

3

Relay

122

73.94%

90

54.55%

58

35.15%

4

2.42%

4

Found

92

55.76%

61

36.97%

15

9.09%

1

0.61%

5

U.S. Bancorp

82

49.70%

43

26.06%

15

9.09%

2

1.21%

6

Axos Bank

47

28.48%

34

20.61%

12

7.27%

2

1.21%

7

Bank of America Corp.

66

40.00%

17

10.30%

4

2.42%

0

0.00%

8

Chase Credit Journey

95

57.58%

9

5.45%

5

3.03%

2

1.21%

9

PNC Bank

30

18.18%

7

4.24%

1

0.61%

0

0.00%

10

Varo Bank

11

6.67%

5

3.03%

2

1.21%

1

0.61%

10

Wells Fargo & Co.

36

21.82%

5

3.03%

0

0.00%

0

0.00%

12

Citi

24

14.55%

3

1.82%

3

1.82%

0

0.00%

12

Truist Bank

19

11.52%

3

1.82%

1

0.61%

1

0.61%

14

Citizens Bank & Trust

2

1.21%

1

0.61%

0

0.00%

0

0.00%

14

Current

58

35.15%

1

0.61%

1

0.61%

0

0.00%

16

Align Credit Union

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Autobooks

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Baker Boyer Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Bank Of The West

1

0.61%

0

0.00%

0

0.00%

0

0.00%

16

Banknewport

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Baselane

2

1.21%

0

0.00%

0

0.00%

0

0.00%

16

Candescent

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Capital One Platinum Mastercard

3

1.82%

0

0.00%

0

0.00%

0

0.00%

16

Carroll Bank And Trust

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Centime

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Clear Mountain Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Codat

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Field & Main Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

First Bank Of Berne

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

First County Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

First Federal Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

First Security Bank Of Missoula

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Five Star Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Fps Gold

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Hanmi Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Ixonia Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Mainstreet Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Merchant's Pact

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Merrimack County Savings Bank (the Merrimack)

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Mid Penn Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Mid-missouri Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Mountainone

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Nbh Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

North Valley Bank Ohio

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Northwest Community Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Outdoor Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Progressive Ozark Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Sanibel Captiva Community Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

Susser Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

United Federal Credit Union

0

0.00%

0

0.00%

0

0.00%

0

0.00%

16

West Gate Bank

0

0.00%

0

0.00%

0

0.00%

0

0.00%

U.S. Bancorp appears in roughly half of the benchmark answers and is recommended in about a quarter, so the bank is a familiar name in these conversations without being a default pick. The gap between being mentioned and being endorsed is where the commercial risk sits.

Recommendation reach is real but shallow. Most of the bank's appearances stop at a mention or a neutral description, and only a small share of recommendations place it at the front of the list. Buyers asking for a shortlist may see the name without seeing a reason to choose it.

Framing is not the problem: almost no negative wording was recorded. The work is to give answers a clearer, verifiable reason to endorse the bank rather than to repair its reputation.

What changed since last month

Questions This Section Answers

  • How did U.S. Bancorp counts and coverage differ across the available monthly snapshots?

Metric

Nov 2026

Mentions

82 / 165 (49.70%)

Recommendations

43 / 165 (26.06%)

Top 3 recommendations

15 / 165 (9.09%)

#1 recommendations

2 / 165 (1.21%)

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.

This is the first verified monthly record for U.S. Bancorp in this benchmark, so there is no prior period to compare against. The figures describe a single selected sample, not a trend.

That matters for how the client reads the numbers. A first reading sets a reference point for later months; it does not show whether visibility is rising or falling. Treat any future movement as a new observation until several comparable months exist.

The practical step is to lock in this baseline and agree which measures the client will watch, so later readings can be compared on the same basis.

AI recommendation trend

Observed recommendation rate (%), Nov 2026

  • U.S. Bancorpno change
    Nov 202626.06%

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

/ 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.

Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for U.S. Bancorp?

AI answers contained 5 conflicting claims about U.S. Bancorp: 0 critical, 0 high, 4 medium, 1 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.

A side-by-side visibility comparison would show where U.S. Bancorp sits against the banks that answers name most often, and where the gap is widest between mentions and endorsements. That gives the client a defensible order of work rather than a general push for more coverage.

The recorded claims about the bank's free business checking account give a second, narrower list. Most were rated medium priority, with one low and none critical or high. Those ratings sort the fact-checking queue; they do not show that the bank or any publisher got something wrong.

Together the two views let the client decide what to verify first and what to leave until evidence is stronger.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about U.S. Bancorp should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

U.S. Bank free business checking account name/tier

medium

Essential Business Checking

Silver Business Checking

U.S. Bank free business checking account name/tier

medium

Business Essentials

Silver Business Checking

U.S. Bank free business checking account name/tier

medium

Essential Business Checking

Silver Business Checking

name of the no-fee business checking account

low

Silver Business Checking

Business Essentials Checking

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 claims cluster around one narrow point: the name and tier of the bank's free business checking account. Answers used several different labels for what appears to be the same offer, which suggests the naming needs to be settled before any page work begins.

We would not decide which label is correct from the answers alone. The first step is to confirm the current product name, tier structure and effective dates against primary bank sources, since an older name and a newer one can both be accurate for their period.

Once that is settled, we would draft a page brief that states the approved naming plainly and answers the obvious follow-up questions. Any correction request would wait until the verified facts are in hand.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for U.S. Bancorp?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://cnbc.com/select/best-free-business-checking-accounts/

54

17

5

https://nerdwallet.com/business/banking/best/free-checking-accounts

83

26

4

https://slash.com/blog/no-fee-business-bank-accounts

21

6

4

https://sccu.com/small-business/business-checking/free-business-checking

7

4

3

https://fnbo.com/small-business/business-checking/free-checking

4

1

3

https://bayfirstfinancial.com/business/business-checking-accounts/free-business-checking/

1

1

3

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.

Several third-party pages were cited repeatedly in answers that discuss the bank, and some of those pages are linked to the disputed account-name claims. The citation counts show which pages answers lean on; they do not show that a page caused a claim or that its current text is wrong.

We would review the most-cited pages first, checking their present wording against verified bank facts. Where a page is out of date, we would prepare a specific, evidence-backed request to the publisher, framed around the corrected fact rather than a general complaint.

Where a page is accurate, no request is warranted, and we would record that decision so the client can see the reasoning.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed U.S. Bancorp 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://usbank.com/business-banking/banking-products/business-bank-accounts/business-checking-account.html

32

14

10

https://usbank.com/business-banking.html

15

2

1

https://usbank.com/business-banking/banking-products/business-bank-accounts/business-checking-account/application-requirements-checklist.html

5

1

1

https://usbank.com/business-banking/banking-products/business-bank-accounts.html

3

1

1

https://usbank.com/loans-credit-lines/personal-loans-and-lines-of-credit/personal-loan.html

2

0

0

https://usbank.com/about-us-bank/company-blog/article-library/us-bancorp-completes-acquisition-of-union-bank.html

1

0

0

https://usbank.com/business-banking/banking-products.html

1

1

0

https://usbank.com/business-banking/banking-products/business-bank-accounts/business-savings-account.html

1

0

0

The company's website was cited 65 times across 13 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 main business checking page is the clear priority: it is cited far more than any other company page and appears in answers that recommend the bank. A stronger page could give answers more useful material, though citation alone does not show that the page shaped any recommendation.

We would build a page brief around approved facts, the account naming question and the questions buyers actually ask, such as fees, eligibility and what suits a small limited liability company. The brief would specify what the page must state, not rewrite it blindly. Other cited pages, including the application checklist and the business banking hub, would get lighter briefs, with any proposed correction checked against current primary sources first.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for U.S. Bancorp?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What banks offer a free business checking account?

4

4

3

What bank has free business checking accounts?

2

2

2

What bank is good for business checking?

2

2

2

business checking account no fees

2

2

2

business checking free

2

2

2

What bank account is best for an LLC?

3

2

1

What bank offers a free business checking account?

2

2

1

Are there any free business bank accounts with no fees?

2

1

1

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

The recorded questions are practical and repetitive: which banks offer free business checking, which is good for business checking, and what suits a limited liability company. U.S. Bancorp was mentioned in most of these answers and recommended in many, so the bank already has a foothold.

The opportunity is to make the bank's answer to those questions easy to find and easy to quote. We would check existing coverage first, then brief content that addresses fees, eligibility and account fit in plain terms.

These are observed questions, not measured search demand, so the briefs should be treated as a starting hypothesis to test against the client's own customer enquiries.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed U.S. Bancorp 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 a shortlist of pages and sources to examine. Each record gets an owner, an evidence requirement and a review status, so nothing moves forward on assumption.

The second month produces approved page briefs and any publisher requests that survive verification. Confirmed edits, no-change decisions, requests and responses are logged separately, so the client can see what was decided and why.

The third month delivers buyer-question content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, because the benchmark cannot attribute movement to our activity.

Methodology

Questions This Section Answers

  • How are U.S. Bancorp 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 165 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 5565 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

165

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 benchmark covers a single reporting month and a defined set of answers that met inclusion rules. The exact collection dates for the original answers have not been verified, so the figures should be read as a snapshot rather than a dated audit.

A company counts as recommended only when an answer endorses it with positive wording. Mentions, recommendations and placements measure different things, and an answer can name several companies, so counts do not add up to a number of distinct answers.

Cited pages and disputed claims still need independent verification. Monthly samples differ, and comparisons show what was recorded, not why it changed.

Our first three priorities

First, settle the account naming question against primary bank sources. The disputed claims all touch the same narrow point, and no page brief or publisher request should go out until the current name, tier and effective dates are confirmed.

Second, brief the main business checking page around approved facts and the buyer questions the research recorded. It is the most-cited company page and appears in recommending answers, so improving it has the clearest path to influence.

Third, review the most-cited third-party pages and prepare evidence-backed requests only where current text conflicts with verified facts. Everything else stays in the register with a recorded decision, and the next scorecard is read against this baseline without claims of cause or guaranteed gain.

/ 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.

Archived editions

Browse earlier published research snapshots for this article. The latest edition remains at the current URL.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT