JPMorgan Chase & Co. Appears in 52.3% 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

  • JPMorgan Chase & Co. is mentioned in 52.34% of benchmark answers, but only 4.69% of answers actively recommend it.
  • Most conflicting claims center on total assets and consolidated assets, so primary-source verification comes first.
  • The most-cited external pages include Wikipedia and Federal Reserve data, making them the first sources to review.
  • Buyer questions are mostly ranking queries about top banks and finance firms, where the company is named often but endorsed less often.

Answer Capsule

In November 2026, JPMorgan Chase & Co. appeared in 67 of 128 AI answers included in the Certificates of Deposits benchmark (52.34%). It received 6 recommendations (4.69%), with 5 Top 3 placements and 4 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 JPMorgan Chase & Co. mentions, recommendations and placements compare with its Certificates of Deposits peers?

JPMorgan Chase & Co. recorded 67 mentions (52.34%) and 6 recommendations (4.69%) across 128 answers included in the benchmark. Top 3 placements numbered 5; first-place recommendations numbered 4. Framing among its mentions was 13 positive, 54 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%

JPMorgan Chase & Co. appears in roughly half of the benchmark answers, which puts it among the most-mentioned banks in this set. The gap that matters is between that familiarity and the small number of answers that actually endorse it with positive wording. Being named is not the same as being put forward.

Framing is mostly neutral, with no negative mentions recorded. That is a reasonable starting position: the company is not being criticized, but it is also rarely being championed. The agency would treat this as a prompt to understand which questions produce endorsement and which produce only a passing mention, then build content around the former.

What changed since last month

Questions This Section Answers

  • How did JPMorgan Chase & Co. counts and coverage differ across the available monthly snapshots?

Metric

Nov 2026

Mentions

67 / 128 (52.34%)

Recommendations

6 / 128 (4.69%)

Top 3 recommendations

5 / 128 (3.91%)

#1 recommendations

4 / 128 (3.13%)

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 month with usable results for this company, so there is no prior period to compare against. The figures describe a single selected sample, not a trend. Any future month will be a separate sample, and a different total will not by itself show why anything moved.

The practical reading is that this month sets a reference point. The agency would record it as a baseline and resist drawing conclusions from one observation. Comparisons become meaningful only once several months of comparable coverage exist.

AI recommendation trend

Observed recommendation rate (%), Nov 2026

  • JPMorgan Chase & Co.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 JPMorgan Chase & Co.?

AI answers contained 15 conflicting claims about JPMorgan Chase & Co.: 0 critical, 0 high, 12 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 concrete starting asset here. Most of the conflicting claims sit at medium severity, which suggests they are worth resolving but are not emergencies. A visibility comparison against the other banks in the set would show where JPMorgan Chase & Co. is named often but endorsed rarely.

Together, these two views let the client set priorities on evidence rather than impression. The agency would build a scorecard pairing each competitor's presence with its endorsement pattern, and a short register of claims to verify, each with an owner and a source requirement.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about JPMorgan Chase & Co. should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

total assets

medium

~$5.01 trillion

~$4.4 trillion

total consolidated assets

medium

~$4.0 trillion

$5,015 billion

issuer weight in LQD

low

~2.71%-2.73%

2.7%

total assets

medium

~$5.01 trillion

$4.091 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 cluster around total assets and consolidated assets, with a smaller question about the company's weight in a corporate bond fund. Both columns in each row are AI statements, not confirmed facts. Different reporting dates or different definitions of assets could account for an apparent conflict without anyone being wrong.

The agency would not decide which figure is correct. Instead, it would confirm the entity, the date and the primary source for each topic, then prepare page briefs only for claims that survive that check. Topics that cannot be tied to a current authoritative source would stay out of the correction queue.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for JPMorgan Chase & Co.?

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

8

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

90

20

6

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

32

8

4

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://relbanks.com/top-us-banks/assets-2025

7

6

2

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 Wikipedia list of largest banks and the Federal Reserve's data release are the two pages most often cited alongside answers that mention the company, and they carry the largest share of the conflicting claims. That makes them the natural first candidates for a careful read of their current contents.

Citation is not influence, and a page linked to a conflict is not necessarily its cause. The agency would review each shortlisted page against primary sources before drafting any request, and would treat a polite evidence-backed query as the appropriate step rather than assuming a publisher has made an error.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed JPMorgan Chase & Co. 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://jpmorganchase.com/about/our-history

2

0

0

https://jpmorganchase.com/

1

0

0

https://jpmorganchase.com/about

1

0

0

https://jpmorganchase.com/about/leadership/jamie-dimon

1

0

0

https://jpmorganchase.com/about?AFFID=EhraRx8K_BE-EoJoVF5lMkEua7Fs._j2Cw&iCELL=61HB&pvid=5d64fe1842e64683997291a7c8fe501c

1

0

0

https://jpmorganchase.com/content/dam/jpmc/jpmorgan-chase-and-co/investor-relations/documents/2026-company-updates/firm-overview.pdf

1

0

0

https://jpmorganchase.com/content/dam/jpmc/jpmorgan-chase-and-co/investor-relations/documents/annualreport-2025.pdf?_sp=1571ae05-eae4-4d7c-859b-b5daed895bf1

1

1

0

https://jpmorganchase.com/content/dam/jpmc/jpmorgan-chase-and-co/investor-relations/documents/quarterly-earnings/2026/2nd-quarter/corp-q2-2026.pdf

1

0

0

The company's website was cited 10 times across 9 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 own pages are cited only occasionally, and almost none of those citations appear in answers that recommend the company. The annual report is the one page recorded in a benchmark answer, which hints that formal disclosures travel further than general about pages in this kind of question set.

Page briefs would therefore start from approved facts and the questions buyers actually ask, not from a wish to rewrite everything. The agency would check what each priority page currently says before proposing changes, and would keep the briefs tied to the specific disputed topics rather than expanding scope.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for JPMorgan Chase & Co.?

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: top banks, top finance companies, top wealth managers. The company is mentioned in nearly all of them but recommended in only a few, and the shorter top-five style questions are where endorsement appears most often.

These are answer observations, not search volume or proof that the website lacks content. The agency would check existing coverage first, then draft buyer-question briefs that give a clear, sourced answer to ranking-style questions, so the company is positioned to be named with a reason rather than only listed.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed JPMorgan Chase & Co. 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 is about getting the groundwork right: a baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a clear evidence requirement. Nothing gets corrected until a primary source confirms it.

The second month turns confirmed findings into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard. Completed work will be reported separately from any measured change in AI answers, and no gains are promised.

Methodology

Questions This Section Answers

  • How are JPMorgan Chase & Co. 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 benchmark covers a fixed set of answers that met inclusion rules, and the collection dates for the original AI answers have not been verified. A company counts as recommended only when an answer endorses it and uses positive wording; top-three and first-place counts sit inside those recommendations rather than adding to them.

Answers can mention several companies, so counts cannot be summed into distinct answers. Sentiment describes answer wording, not customer satisfaction. Cited pages and disputed claims still need independent checking, and monthly samples differ, so comparisons show what changed, not why.

Our first three priorities

First, verify the asset figures against current primary sources before anything is corrected. The conflicts are mostly medium severity, and a date or definition mismatch may resolve them without a correction. Ambiguous matches stay out of the queue.

Second, review the two most-cited external pages and the annual report page, confirming their current contents before drafting any evidence-backed request. Third, prepare buyer-question briefs for the ranking-style questions where the company is mentioned but rarely endorsed, checking existing coverage first. Each step has a named owner, and results will be reported as completed work, not as guaranteed visibility gains.

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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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