Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

Bank of the Sierra

bankofthesierra.comBSRR

Regional and community banksBanking

Also in the US AI Visibility Study

Statement period
September 23 to 30, 2026
when the AI assistants were asked
Account no.
977 of 2,219
its rank by overall score
Place in its category
39th of 148 regional and community banks
Closing balance

Named in

0of 60, its tower is dark

by 0 of 4 assistants

Statement note

What this means for Bank of the Sierra

AI assistants do not name this regional or community bank in any of the 60 answers, which matches the typical company in its sector. Its overall score is 29 out of 100, ranking 977th of 2,219 companies. The website passes 5 of 14 technical checks for readiness with AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Bank of the Sierra by name. AI assistants named it in none of the 60 answers. Counting only how often it is named, it ranks 188th of 394 in its sector. The typical banking company is named in 0.0% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
29Overall score
  • Visibility0
  • Citations15
  • Sentiment50
  • Site quality73
  • AI readiness36
Summary of account
Named by AI in
0.0%
0 of 60 answers
Share of mentions
0.0%
no answer named it or its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 3
Rank in its sector
143 of 394
by overall score, where the typical banking company scores 28

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Line itemsSection 01

Every question, and where the company came up

Bank of the Sierra came up on 0 of 15 questions. Open any window to read that answer.

  1. 01Are community banks a good choice for first-time homebuyers?0/4
  2. 02Community bank savings accounts vs national bank savings accounts – which offers better rates?0/4
  3. 03When does it make sense to switch your business banking to a local community bank?0/4
  4. 04What are the usual monthly maintenance costs for business accounts at community banks?0/4
  5. 05What to do if your mobile banking app from a community bank isn't working?0/4
  6. 06Typical fees for checking accounts at community banks in the US0/4
  7. 07Other ways to access banking services if there's no community bank nearby0/4
  8. 08How can community banks help support nonprofit organizations?0/4
  9. 09Best community banking options for students and young adults in the United States0/4
  10. 10Best local banking options for small business owners looking for personalized service0/4
  11. 11Is opening a business account at a community bank worth it for small companies?0/4
  12. 12How do community banks compare to credit unions for business loans?0/4
  13. 13Common issues people face when applying for a loan at a community bank0/4
  14. 14What are the best community banks for personal checking accounts in the US?0/4
  15. 15Alternatives to local community banks for small business lending0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 0/15Gemini: 0/15All assistants: 0/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

PayeesSection 02

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Share of mentions

CompanyShare
  1. Bank of the Sierra
    0.0%
  2. Valley Strong Credit Union
    0.0%
  3. Central Valley Community Bank
    0.0%
  4. Premier Valley Bank
    0.0%
  5. Suncrest Bank (now Citizens Business Bank)
    0.0%
  6. Mission Bank
    0.0%
ReferrersSection 03

Websites the AI used as sources

How many times each website was listed as a source in these answers

  1. 01
    bankrate.com
    26
  2. 02
    cbna.com
    21
  3. 03
    nerdwallet.com
    13
  4. 04
    cb.bank
    11
  5. 05
    forbes.com
    11
  6. 06
    finance.yahoo.com
    9
  7. 07
    wsj.com
    9
  8. 08
    justdial.com
    9
  9. 09
    communityamerica.com
    8
  10. 10
    cnbc.com
    8

Bank of the Sierra is in the study as a regional or community bank.

By assistantSection 04

Which AI assistants named the company

Answers naming it, out of answers received

Claude
0/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
Market comparisonSection 05

How Bank of the Sierra compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
0

How often AI assistants name the company, and how that compares with its peers

Citations
15

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
36

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Against its sectorSection 06

Compared with banking companies

394 companies in this sector. The gold tick on each bar is the typical company.

Overall score
29
Ranks 143 of 394. Typical company: 28
Named in answers
0.0%
Ranks 188 of 394. Typical company: 0.0%
AI readiness
36
Ranks 29 of 394. Typical company: 29
Against its categorySection 07

Compared with regional and community banks

148 companies in this category. The gold tick on each bar is the typical company.

Overall score
29
Ranks 35 of 148. Typical company: 27
Named in answers
0.0%
Ranks 52 of 148. Typical company: 0.0%
AI readiness
36
Ranks 9 of 148. Typical company: 21
AI agentsSection 08

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Can an AI agent check out here?

Not by itself. Bank of the Sierra publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtPublished
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
80 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 86.1%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 87.9%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 1.5%
  • DNS for AI DiscoveryPassed

    SVCB or HTTPS records under _agents that advertise agent endpoints.

    study: 4.3%
Content accessibility
50 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 92.7%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 2.3%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 1.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 6.3%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.8%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.2%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 1.0%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 0.0%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.2%

Score 38 of 100 · 97% of checks could run · checked on October 5, 2026 · www.bankofthesierra.com · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 09

The checks behind the AI readiness score

5 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks

Discoverability

  • Passedrobots.txt publishedstudy: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
AI crawlersSection 10

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

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End of statement
All 2,219 companiesHow we measured this
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