Bank of America Corp. Appears in 58.6% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Bank of America is mentioned in 58.6% of benchmark AI answers, but only 4.7% of answers recommend it.
  • Most mentions are neutral, showing visibility without strong endorsement.
  • The main fact issue is conflicting asset figures, which should be verified by entity, date, and source before page edits.
  • Priority work focuses on the main deposits page, cited third-party sources, and ranking-style buyer questions.

Answer Capsule

In November 2026, Bank of America Corp. appeared in 75 of 128 AI answers included in the Certificates of Deposits benchmark (58.59%). It received 6 recommendations (4.69%), 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 Certificates of Deposits peers?

Bank of America Corp. recorded 75 mentions (58.59%) and 6 recommendations (4.69%) across 128 answers included in the benchmark. Top 3 placements numbered 4; first-place recommendations numbered 0. Framing among its mentions was 13 positive, 62 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

American Express

54

42.19%

11

8.59%

3

2.34%

3

2.34%

1

Morgan Stanley

77

60.16%

11

8.59%

3

2.34%

0

0.00%

3

Goldman Sachs Group

73

57.03%

7

5.47%

0

0.00%

0

0.00%

4

Bank of America Corp.

75

58.59%

6

4.69%

4

3.13%

0

0.00%

4

Bread Savings

33

25.78%

6

4.69%

1

0.78%

0

0.00%

4

JPMorgan Chase & Co.

67

52.34%

6

4.69%

5

3.91%

4

3.13%

7

Citigroup Inc.

60

46.88%

5

3.91%

3

2.34%

0

0.00%

7

Wells Fargo & Co.

64

50.00%

5

3.91%

0

0.00%

0

0.00%

9

U.S. Bancorp

46

35.94%

4

3.13%

0

0.00%

0

0.00%

10

Capital One Platinum Mastercard

2

1.56%

0

0.00%

0

0.00%

0

0.00%

Bank of America Corp. appears in a large share of the benchmark answers, yet affirmative recommendations are rare. That gap is the central finding: the company is present in the conversation far more often than it is endorsed. Presence and endorsement are separate measures, and the report does not establish why one runs ahead of the other.

Framing is mostly neutral, with positive wording outweighing negative. Neutral framing does not amount to a recommendation, and positive wording alone is not an endorsement. The practical implication is that the company is well known to these answers but not often put forward as a choice, which is where the agency's work should begin.

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

75 / 128 (58.59%)

Recommendations

6 / 128 (4.69%)

Top 3 recommendations

4 / 128 (3.13%)

#1 recommendations

0 / 128 (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 month of verified results is available for this company, so there is no prior period to compare against. The current figures stand as a baseline rather than a trend. Earlier months measured different sets of companies and are excluded, which means any movement over time cannot yet be described.

The useful step is to treat this month as the reference point. Future reports can then show whether appearances and endorsements move together or apart. Until a comparable month exists, the agency should avoid reading direction into a single sample and should present the baseline plainly to the client.

AI recommendation trend

Observed recommendation rate (%), Nov 2026

  • Bank of America Corp.no change
    Nov 20264.69%

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 14 conflicting claims about Bank of America Corp.: 0 critical, 0 high, 11 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 conflicting claims recorded about the company cluster at medium severity, with none rated critical or high. That ordering gives the client a sensible starting point: the fact-check list can be worked in priority order rather than treated as one undifferentiated pile. The ratings indicate where review effort is likely to matter most; they do not show that any company or publisher made an error.

The agency would build a visibility comparison alongside that list, so the client can see which disputed topics sit near the company's strongest and weakest appearances. Pairing the two views helps set priorities without implying that fixing a claim will change an answer.

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

total consolidated assets

medium

$3,499 billion

~$3.3 trillion

total consolidated assets

medium

$3,499 billion

~$2.7 trillion

total consolidated assets

medium

$3,499 billion

~$2.7 trillion

total assets

medium

~$3.50 trillion

$2.655 trillion

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 concern total assets, where recorded answers give different figures. Both columns quote AI answers, not verified company facts, so the first task is to establish the entity, the date and the source behind each figure. Different reporting dates can explain an apparent conflict, and that possibility must be settled before any correction is considered.

The agency would prepare page briefs only after that verification, using approved facts. Where the evidence supports the company's own published position, a brief can set out how the page should present it. Where the conflict turns out to be a date difference, the outcome is a no-change decision recorded as such.

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://en.wikipedia.org/wiki/List_of_largest_banks_in_the_United_States

120

27

7

https://federalreserve.gov/releases/lbr/current/

90

20

7

https://ffiec.gov/npw/Institution/TopHoldings

32

8

5

https://ishares.com/us/products/239566/ishares-iboxx-investment-grade-corporate-bond-etf

2

0

3

https://morningstar.com/etfs/xmex/lqd/portfolio

2

0

3

https://federalreserve.gov/releases/h8/20260612/

1

0

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.

The cited pages selected for review are mostly reference and regulatory sources, with a few fund-related pages appearing only marginally. The agency would check the current contents of the leading pages before making any request, since a page linked to a conflicting claim is not necessarily its cause. Citation does not establish that a source influenced an answer.

Requests to publishers should be evidence-backed and specific, and should allow for the possibility that the page is already accurate. The agency would record confirmed edits, no-change decisions and responses separately, so the client can see what was actually done rather than inferring influence from a citation.

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://bankofamerica.com/deposits/bank-cds/cd-accounts/

4

3

0

https://bankofamerica.com/deposits/bank-cds/standard-term-cd/es/

1

0

0

The company's website was cited 5 times across 2 distinct page addresses; the table shows 2 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 own pages were cited only a handful of times, and the selected pages drew no recommending answers. That does not mean the pages are weak; it means the recorded answers did not pair them with an endorsement. The agency would use approved facts and audience questions to brief these pages, starting with the main certificate-of-deposits page.

Briefs should reflect what the page is for and what a reader needs to decide, not chase an answer count. Existing coverage should be checked before proposing anything new, and any page change should be verified against current primary sources rather than against an AI claim.

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 are the top 100 finance companies in the USA?

4

4

1

What are the top 50 banks in the USA?

4

4

1

What are the top 20 banks in the USA?

3

3

1

What is the top 5 finance company in the US?

2

2

1

What are the top 5 wealth management companies?

1

1

1

What are the top 5 wealth management firms?

1

1

1

What are the top 15 banks?

3

3

0

What are the top 10 financial services companies?

2

2

0

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

The recorded questions are mostly ranking questions about large banks and finance companies, and the company is mentioned in nearly all of them. Endorsements appear in some of these answers but not others, which makes the ranking questions a reasonable place to focus content work. These observations are not search volume or proof of missing content.

The agency would check whether the company already addresses these ranking questions on its own pages before proposing new material. Where coverage is thin, a brief can set out how the company's position should be explained in plain terms. Where coverage exists, the work is review and refinement rather than a new page.

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 a review status. The second month turns verified findings into approved page briefs and justified publisher requests, with confirmed edits and no-change decisions recorded separately.

The third month produces buyer-question content briefs and a fresh scorecard. Completed work is recorded separately from measured answer outcomes, because the plan delivers reviewed material, not a guaranteed change in visibility. Reviewers should include whoever can confirm the company's published facts.

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 128 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 4018 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

128

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 answers were collected for the reporting month, though the exact collection dates are unverified. A company counts as recommended only when an answer endorses it with positive wording, and top placements sit inside those recommendations rather than adding to them. Answers can mention several companies, so company counts do not sum to distinct answers.

Monthly samples differ, and comparisons describe recorded movement without explaining it. Cited pages and disputed claims still require independent verification before any correction is proposed.

Our first three priorities

The first priority is verification: settle the entity, date and source behind the conflicting asset figures before anything else moves. The second is a page brief for the main certificate-of-deposits page, built on approved facts and the questions readers actually ask. The third is buyer-question content around the ranking questions where the company appears but is not always endorsed.

Each of these depends on the one before it, and none should be presented as a route to a specific visibility outcome. The agency would report completed reviews and briefs as delivered work, keeping them distinct from measured answer results.

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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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