Bank of America Corp. Appears in 40.0% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Bank of America is mentioned often in business checking answers, but recommendations are much lower than mentions.
  • The main fact-checking issues center on Business Advantage checking fees and waiver terms.
  • The company’s primary checking page carries most of the owned-page citation weight.
  • Buyer questions about opening business accounts and business loans are useful inputs for new content briefs.

Answer Capsule

In November 2026, Bank of America Corp. appeared in 66 of 165 AI answers included in the Business Checking Accounts benchmark (40.00%). It received 17 recommendations (10.30%), with 4 Top 3 placements and 0 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 Bank of America Corp. mentions, recommendations and placements compare with its Business Checking Accounts peers?

Bank of America Corp. recorded 66 mentions (40.00%) and 17 recommendations (10.30%) across 165 answers included in the benchmark. Top 3 placements numbered 4; first-place recommendations numbered 0. Framing among its mentions was 17 positive, 49 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%

Bank of America Corp. is named in a large share of the benchmark answers, yet only a small portion of those mentions carry an affirmative recommendation. That gap matters more than raw presence: being discussed is not the same as being put forward as a choice. The agency would treat reach and endorsement as separate goals, since widening mentions alone would not close the recommendation gap.

Placement is a further distinction. The company's shortlist appearances are few, and no first-place placements were recorded. Because shortlist and first-place results sit inside the recommendation total rather than beside it, the practical aim is to convert neutral mentions into positive, endorsed ones before chasing position. A scorecard tracking mentions, recommendations and placement separately would keep those measures from being conflated.

What changed since last month

Questions This Section Answers

  • How did Bank of America Corp. counts and coverage differ across the available monthly snapshots?

Metric

Nov 2026

Mentions

66 / 165 (40.00%)

Recommendations

17 / 165 (10.30%)

Top 3 recommendations

4 / 165 (2.42%)

#1 recommendations

0 / 165 (0.00%)

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 reporting month is available, so there is no prior period to compare against. The current figures stand as a single selected sample rather than a trend line. Readers should treat the recommendation gap as a starting observation to be re-measured, not as evidence of movement in either direction.

The agency would establish a clean baseline scorecard first, then repeat the same measurement in later months so any change can be read against a like-for-like sample. Until then, no claim about improvement or decline is warranted.

AI recommendation trend

Observed recommendation rate (%), Nov 2026

  • Bank of America Corp.no change
    Nov 202610.30%

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 Bank of America Corp.?

AI answers contained 3 conflicting claims about Bank of America Corp.: 0 critical, 0 high, 3 medium, 0 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 benchmark surfaced a small set of conflicting claims about Bank of America Corp., all rated medium priority. None reached critical or high severity, which suggests the fact-checking effort can be scoped rather than urgent. The ratings order the work; they do not show that the company or any publisher got something wrong.

The agency would build a visibility comparison alongside a short list of claims to verify, each with an owner and an evidence requirement. That pairing lets the client see where it stands and which statements need checking before any page or publisher conversation begins.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Bank of America Corp. should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

monthly fee for Business Advantage checking

medium

$16/month

$16–$30/month

Business Advantage Fundamentals monthly fee

medium

$0 or $16 monthly fee (waivable)

$0 monthly fee for first 12 months

monthly fee for Business Advantage checking

medium

$16/month

$16–$30/month

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 cluster around monthly fees for the Business Advantage checking products, with answers differing on amounts and on waiver or introductory terms. Both recorded versions are AI statements, not confirmed facts, and different effective dates could account for an apparent conflict.

The agency would verify each topic against current primary sources before drafting anything. Where the facts are confirmed, conditional page briefs would set out the approved wording; where they are not, the item stays open rather than becoming a correction. This keeps the website consistent without deciding in advance which answer is right.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Bank of America Corp.?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://found.com/resources/business-banking/best-business-bank-accounts-llcs

13

1

2

https://businessmodelanalyst.com/best-business-bank-accounts-llcs-startups/

10

1

2

https://wealthvieu.com/business/business-banking/best-banks-for-llc/

5

1

2

https://startupeditor.com/best-business-bank-accounts-for-llc/

6

0

2

https://nav.com/marketplace/business-checking/

108

21

1

https://forbes.com/financial-services/best-business-checking-accounts/

101

18

1

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 selected for review because they relate to the company in captured answers, and some are linked to conflicting claims. A link is not proof of influence or error, and the same answer can touch more than one page. The current contents of these pages still need checking.

The agency would prioritize the pages most often cited alongside the company, confirm what they currently say, and prepare evidence-backed requests only where a genuine discrepancy is found. Publisher review would be framed as a request, with responses recorded separately from confirmed edits.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Bank of America Corp. 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://business.bankofamerica.com/en/deposits/checking-accounts

75

28

11

https://bankofamerica.com/business/

15

4

1

https://bankofamerica.com/smallbusiness/deposits/resources/fees-at-a-glance/

3

0

0

https://bankofamerica.com/smallbusiness/online-banking/quickbooks/

2

0

0

https://business.bankofamerica.com/en/resources/how-to-open-a-business-bank-account

2

1

1

https://bankofamerica.com/home-equity/

1

0

0

https://bankofamerica.com/information/smallbusiness/

1

0

0

https://business.bankofamerica.com/en/deposits/checking-accounts?wrap=mda

1

0

0

The company's website was cited 102 times across 10 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 company's checking-accounts page is by far the most frequently cited owned address, and it also appears in answers that recommend the company. Other cited pages drew little or no matching answer activity. That concentration suggests the main checking page carries most of the owned narrative weight.

The agency would prepare page briefs for the priority addresses using approved facts and the questions buyers actually ask, checking existing coverage before proposing anything new. Briefs would be reviewed against primary sources, and pages with no recorded answer activity would be assessed on their merits rather than assumed to need work.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Bank of America Corp.?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What bank is the best for a business account?

2

1

1

What bank is the best for a business loan?

1

1

1

What bank is the best to open a business account with?

2

1

1

banks business account

1

1

1

banks business accounts

1

1

1

banks with business accounts

1

1

1

best bank account for a business

1

1

1

best bank for a business account

1

1

1

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

The recorded questions are broad account-selection and loan queries, and the company appears in the small number of answers to each. These are answer observations, not search volume or proof that the website lacks content. They indicate which buyer questions are worth addressing directly.

The agency would turn these into content briefs, checking existing pages first and proposing new material only where coverage is genuinely absent. Buyer-question content would be built around approved facts so it can support both the website and later publisher conversations.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Bank of America Corp. 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, each with an owner and review status. The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately.

The final month delivers buyer-content briefs and a fresh scorecard. Completed work would be reported apart from measured answer outcomes, and the comparability limits of each sample would be stated plainly so no one reads delivered work as a visibility gain.

Methodology

Questions This Section Answers

  • How are Bank of America Corp. 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 report covers a single reporting month, and the exact collection dates of the original answers are unverified. Recommendation requires both endorsement and positive wording, and placement counts sit inside recommendations rather than adding to them. An answer can mention several companies, so company counts do not sum to distinct answers.

Citation appearances across the wider capture differ from benchmark answers citing a page, and cited pages and disputed claims still need independent verification. Monthly samples differ, so comparisons show recorded change without establishing why it occurred.

Our first three priorities

First, verify the fee claims around the Business Advantage products against current primary sources, since those conflicts sit closest to a purchase decision and all are rated medium. Second, review the most-cited owned checking page and the third-party pages linked to those claims, preparing briefs and requests only where verification supports them.

Third, build buyer-question content around account selection and business lending, checking existing coverage first. Throughout, keep mentions, recommendations and placement as separate scorecard measures, and report completed work apart from measured outcomes so the next sample can be read on its own terms.

/ 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.

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