Nbh Bank Appears in 0.0% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.
This report supports CiteWorks Studio's examination of how AI search is recommending Business Checking Accounts. For more detail, you can also read Business Checking Accounts: AI Visibility Discovery Index.
On this report
Browse sections
- Answer Capsule
- Current AI visibility
- What changed since last month
- Next Step
- Step 1. Measure
- Step 2. Make the website consistent
- Step 3. Align the external narrative
- Step 4. Optimize priority company pages
- Step 5. Publish around buyer questions
- Our 90-day action plan
- Methodology
- Our first three priorities
- Learn More
Key Takeaways
- Nbh Bank had 0 mentions and 0 recommendations across 165 benchmark answers for business checking accounts.
- The first verified monthly record is a baseline, with no prior month available for comparison.
- The plan starts with fact verification, then moves to page consistency, external source review, and priority page briefs.
- Buyer-question content should be based on the bank’s own sales and support conversations, not on the benchmark alone.
Answer Capsule
In November 2026, Nbh Bank 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 Nbh Bank mentions, recommendations and placements compare with its Business Checking Accounts peers?
Nbh Bank 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 | 47 | 28.48% | 34 | 20.61% | 12 | 7.27% | 2 | 1.21% | |
7 | 66 | 40.00% | 17 | 10.30% | 4 | 2.42% | 0 | 0.00% | |
8 | 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 | 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 | 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 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 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 | 3 | 1.82% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 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 | 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 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 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 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | 0 | 0.00% | |
16 | 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 | 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% |
Nbh Bank does not appear in any of the answers reviewed for this benchmark, so there is no recommendation record to improve yet. The absence is the finding: the bank is not part of the set of business checking providers these answers discuss at all.
That matters because the names that do appear are the ones a buyer would hear when asking an AI assistant for a checking account. Before chasing placement, the bank needs to understand which questions it is missing from and whether its own materials give an assistant anything to work with.
We would start by mapping the questions where the bank is absent and comparing them with the questions where it is present. That gives a realistic starting point rather than a target pulled from competitors' numbers.
What changed since last month
Questions This Section Answers
- How did Nbh Bank 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 Nbh Bank, and it shows no mentions and no recommendations. There is no earlier month with usable observations, so nothing here can be described as a rise, a fall or a trend.
The wider benchmark history covers different company sets in earlier months, which is why those months are excluded from this comparison. The sample of answers also differs between months, so even where figures exist they are separate selected samples rather than a continuous series.
For the client, the practical reading is simple: this month is a baseline, not a verdict. We would treat it as the reference point against which later months are read, with the comparability limits stated alongside any movement.
AI recommendation trend
Observed recommendation rate (%), Nov 2026
- Nbh Bankno changeNov 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 Nbh Bank?
AI answers contained 0 conflicting claims about Nbh Bank: 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 Nbh Bank, there is nothing to correct and nothing to defend. That is a quieter starting position than it sounds, because it also means the answers contain no verified description of the bank to build on.
A visibility comparison would show which questions the bank could reasonably enter and which belong to other kinds of providers. A short list of claims worth checking would confirm what the bank actually offers before any content is written.
We would propose a baseline scorecard and a scoped fact-review list, each entry with an owner and a source requirement, so later work rests on confirmed facts rather than assumptions.
Step 2. Make the website consistent
Questions This Section Answers
- Which recorded claim differences about Nbh Bank 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 no claim to adjudicate and no page to rewrite on that basis. The honest position is that consistency work cannot begin until there is something specific to check.
Where claims do surface later, the first step is to resolve the entity, the date and the source. An apparent conflict can come from two different dates or two different institutions sharing a similar name, and neither warrants a correction.
We would propose conditional page briefs: drafted only after the bank confirms the underlying facts, and only for pages the bank actually controls. Ambiguous matches 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 Nbh Bank?
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 external pages were selected for review in this analysis, so there is no publisher list to work from and no correction request to justify. That absence should not be read as evidence that outside sources are accurate or inaccurate about the bank.
When pages are identified, each one needs its current contents checked against primary sources before any request is made. A page that appears alongside a claim is not necessarily the cause of it, and a citation does not show that a source shaped an answer.
We would propose a source review that separates confirmed edits, no-change decisions, outgoing requests and responses, so the bank can see what was asked and what came back.
Step 4. Optimize priority company pages
Questions This Section Answers
- Which observed Nbh Bank 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 answers reviewed, and no pages were selected for review. That means there is no page-level evidence yet about which of the bank's own pages assistants draw on, if any.
Page briefs would therefore start from approved facts and the questions buyers actually ask, not from guesses about what a page currently says. A cited page would not automatically be treated as one that produced a recommendation.
We would propose briefs for a small set of priority pages, each tied to confirmed product details and reviewed by the bank before publication.
Step 5. Publish around buyer questions
Questions This Section Answers
- Which observed buyer questions support content briefs for Nbh Bank?
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 there is no observed question set to turn into content briefs. The questions buyers ask about business checking are still worth planning around, but they need to come from the bank's own sales conversations and support enquiries rather than from this report.
Recorded answer observations are not search volume, verified demand or proof that a page is missing. A question appearing in an answer does not by itself justify a new page.
We would propose checking existing coverage first, then drafting buyer-question content only where a genuine gap is confirmed.
Our 90-day action plan
Questions This Section Answers
- How should the agency sequence the proposed Nbh Bank 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 for establishing a baseline scorecard, a scoped fact-review list and a shortlist of pages and sources, each with an owner and a review status. Nothing in that stage depends on the bank appearing in answers.
The middle month turns confirmed facts into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The final month adds buyer-content briefs and a fresh scorecard.
Delivered work is recorded separately from measured answer outcomes. Completing a brief or sending a request does not establish that visibility changed, and the report will keep those two things apart.
Methodology
Questions This Section Answers
- How are Nbh Bank 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.
This report covers a single month, and the exact dates when the original answers were collected have not been verified. The visibility figures rest on answers that met the benchmark's inclusion rules, and an answer can mention or recommend several companies, so company counts cannot be added to find a number of distinct answers.
A recommendation requires both an endorsement and positive wording. Top-three and first-place counts sit inside recommendations rather than adding to them. The wider citation analysis covers a larger set of captured answers and is not the same measure as the benchmark.
Monthly samples differ, and comparisons show how recorded results changed, not why.
Our first three priorities
First, confirm the facts. Before any content or outreach, the bank should verify its business checking details against primary sources so that briefs and any later correction requests rest on confirmed information rather than on assumptions.
Second, build the baseline. A scorecard that records which questions the bank appears in, and which it does not, gives the next few months something concrete to compare against, with the sample limits stated alongside it.
Third, prepare buyer-question content from the bank's own sales and support conversations, checking existing pages before proposing anything new. These three steps are proposed work, not measured outcomes, and none of them guarantees a change in how assistants describe the bank.
/ 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?
What Is Citation Architecture?
What Is Generative Engine Optimization?
What Is AI Share of Voice?
Archived editions
Browse earlier published research snapshots for this article. The latest edition remains at the current URL.


