First Bank Of Berne Appears in 0.0% 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

  • First Bank Of Berne had 0 mentions and 0 recommendations across 165 benchmark answers, leaving no recorded presence in business checking comparisons.
  • The report treats the zero result as a baseline, not a decline, because there is no verified prior month to compare against.
  • Recommended work starts with measurement and fact verification before any page edits, publisher outreach, or content changes are proposed.
  • The 90-day plan focuses on a baseline scorecard, approved page briefs, justified source requests, and buyer-question content briefs.

Answer Capsule

In November 2026, First Bank Of Berne appeared in 0 of 165 AI answers included in the Business Checking Accounts benchmark (0.00%). It received 0 recommendations (0.00%), with 0 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 First Bank Of Berne mentions, recommendations and placements compare with its Business Checking Accounts peers?

First Bank Of Berne recorded 0 mentions (0.00%) and 0 recommendations (0.00%) across 165 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 0 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%

First Bank Of Berne does not appear in the recorded answers at all, so there is no recommendation base to improve and no framing to correct. The absence is the finding: the bank is simply not part of the set of names the answers reach for when discussing business checking.

That matters because the names that do appear are mostly digital-first providers, and they occupy the recommendation space repeatedly. A community bank with no recorded presence has no foothold to defend and no evidence of being considered.

Before setting any target, the agency would establish a baseline scorecard and confirm how the bank is described in its own materials, so later movement can be judged against a known starting point rather than an assumption.

What changed since last month

Questions This Section Answers

  • How did First Bank Of Berne counts and coverage differ across the available monthly snapshots?

Metric

Nov 2026

Mentions

0 / 165 (0.00%)

Recommendations

0 / 165 (0.00%)

Top 3 recommendations

0 / 165 (0.00%)

#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.

This is the first verified monthly record for the bank, and the report notes there is no usable prior observation to compare against. The zero counts should be read as a starting snapshot, not as a decline or a loss of ground.

The monthly samples are drawn separately, so even where two months exist, a difference in totals would not by itself explain a change in any company's standing. Here that question does not arise.

Practically, the agency would treat this month as the reference point and repeat the same measurement discipline next month before drawing any conclusion about direction.

AI recommendation trend

Observed recommendation rate (%), Nov 2026

  • First Bank Of Berneno change
    Nov 20260.00%

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 First Bank Of Berne?

AI answers contained 0 conflicting claims about First Bank Of Berne: 0 critical, 0 high, 0 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.

With no conflicting claims recorded about the bank, the immediate measurement task is not correction but orientation. A visibility comparison would show which competitors the answers favour and in what language, giving the bank a realistic sense of the ground it is not yet occupying.

A scoped list of claims to fact-check would then test the bank's own public descriptions against what the answers say, so any future discrepancy is caught early rather than discovered after it spreads.

Both are proposed work. Neither assumes the bank has been misdescribed; they simply create a record the bank can act on.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about First Bank Of Berne should be verified before proposed page edits?

No results are available for this part of the analysis.

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.

No disputed topics were supplied for this part of the analysis, so there is nothing to adjudicate and no page brief can be written against a specific conflict. The agency would not manufacture one.

Instead, the proposed work is verification: confirm the entity, the date and the source behind any claim that later surfaces, and check the bank's current primary-source materials before deciding whether a correction is warranted. Different dates can make two statements look contradictory when they are not.

Page briefs would follow only where a verified gap exists, and each would rest on approved facts rather than on an answer's wording.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for First Bank Of Berne?

No results are available for this part of the analysis.

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.

No source pages were selected for review in this report, so there is no publisher list to work from and no basis for approaching anyone. The agency would begin by identifying which pages the answers actually draw on for business checking comparisons.

Those pages would then be checked against their current contents before any request is made. A page linked to a claim is not necessarily its cause, and a citation does not show that a source shaped an answer.

Where a genuine, evidence-backed gap is confirmed, the agency would prepare a justified request; where the page is accurate, the outcome is a documented no-change decision.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed First Bank Of Berne website pages should receive review briefs?

No results are available for this part of the analysis.

The company's website was cited 0 times across 0 distinct page addresses; the table shows 0 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 bank's website was not cited in the recorded answers, and no pages were selected for review. That is a starting position rather than a verdict on the site's quality.

The proposed work is a set of page briefs built from approved company facts and the questions buyers actually ask, applied to the pages the bank chooses to prioritise. Each brief would state what the page must establish and which facts are cleared for use.

A cited page is not automatically a page that accompanied a recommendation, so the briefs aim at clarity for readers, not at chasing citations.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for First Bank Of Berne?

No results are available for this part of the analysis.

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

No buyer questions were recorded for this analysis, so content briefs cannot yet be tied to observed phrasing. The agency would first check whether the bank's existing pages already answer the common business-checking questions before proposing anything new.

Where coverage is thin, briefs would be drafted around the questions the bank hears from its own customers, using approved facts and plain language. Recorded answer observations are not search volume or proof of demand, so the briefs would be framed as coverage decisions, not as responses to measured interest.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed First Bank Of Berne 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 produces the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. Nothing is corrected at this stage; the aim is a clean record.

The second month turns confirmed findings into approved page briefs and, only where evidence supports it, justified publisher requests. Confirmed edits, no-change decisions, requests and responses are logged separately so the bank can see what was actually done.

The final month adds buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, because the two are not the same thing and neither guarantees a change in visibility.

Methodology

Questions This Section Answers

  • How are First Bank Of Berne 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 month, and the exact dates the answers were collected have not been verified. Recommendations require both an endorsement and positive wording, and placement counts sit inside recommendations rather than adding to them.

Answers can name several companies, so company counts cannot be summed into a number of distinct answers. The wider citation analysis covers a larger set of captured answers than the benchmark, and the two should not be conflated.

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

Our first three priorities

The first priority is a clean baseline: a scorecard and a fact-review register that record what the answers currently say about the bank and its competitors, with an owner for each item. Without that, later movement cannot be interpreted.

The second is verification of the bank's own public descriptions against primary sources, so any future page brief rests on approved facts. The third is a buyer-question content review that checks existing coverage before new pages are proposed.

All three are proposed work. They create the conditions for visibility gains without promising them, and they keep correction requests tied to confirmed evidence rather than to an answer's wording.

/ 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